NostalgiaForInfinityX7

import copy
import logging
import pathlib
import rapidjson
import numpy as np
import talib.abstract as ta
import pandas as pd
import pandas_ta as pta
from freqtrade.strategy.interface import IStrategy
from freqtrade.strategy import merge_informative_pair
from pandas import DataFrame, Series
from functools import reduce
from freqtrade.persistence import Trade, Order
from datetime import datetime, timedelta
import time
from typing import Optional
import warnings

log = logging.getLogger(__name__)
# log.setLevel(logging.DEBUG)
warnings.simplefilter(action="ignore", category=pd.errors.PerformanceWarning)

#############################################################################################################
##                 NostalgiaForInfinityX7 by iterativ                                                      ##
##            https://github.com/iterativv/NostalgiaForInfinity                                            ##
##                                                                                                         ##
##    Strategy for Freqtrade https://github.com/freqtrade/freqtrade                                        ##
##                                                                                                         ##
#############################################################################################################
##               GENERAL RECOMMENDATIONS                                                                   ##
##                                                                                                         ##
##   For optimal performance, suggested to use between 6 and 12 open trades, with unlimited stake.         ##
##   A pairlist with 40 to 80 pairs. Volume pairlist works well.                                           ##
##   Prefer stable coin (USDT, USDC etc) pairs, instead of BTC or ETH pairs.                              ##
##   Highly recommended to blacklist leveraged tokens (*BULL, *BEAR, *UP, *DOWN etc).                      ##
##   Ensure that you don't override any variables in you config.json. Especially                           ##
##   the timeframe (must be 5m).                                                                           ##
##     use_exit_signal must set to true (or not set at all).                                               ##
##     exit_profit_only must set to false (or not set at all).                                             ##
##     ignore_roi_if_entry_signal must set to true (or not set at all).                                    ##
##                                                                                                         ##
#############################################################################################################
##               DONATIONS                                                                                 ##
##                                                                                                         ##
##   BTC: bc1qvflsvddkmxh7eqhc4jyu5z5k6xcw3ay8jl49sk                                                       ##
##   ETH (ERC20): 0x83D3cFb8001BDC5d2211cBeBB8cB3461E5f7Ec91                                               ##
##   BEP20/BSC (USDT, ETH, BNB, ...): 0x86A0B21a20b39d16424B7c8003E4A7e12d78ABEe                           ##
##   TRC20/TRON (USDT, TRON, ...): TTAa9MX7zMLXNgWMhg7tkNormVHWCoq8Xk                                      ##
##                                                                                                         ##
##  Patreon: https://www.patreon.com/iterativ                                                              ##
##                                                                                                         ##
##               REFERRAL LINKS                                                                            ##
##                                                                                                         ##
##  Binance: https://www.binance.com/join?ref=C68K26A9 (20% discount on trading fees)                      ##
##  Kucoin: https://www.kucoin.com/r/af/QBSSS5J2 (20% lifetime discount on trading fees)                   ##
##  Gate: https://www.gate.io/share/nfinfinity (20% lifetime discount on trading fees)                     ##
##  OKX: https://www.okx.com/join/11749725931 (20% discount on trading fees)                               ##
##  MEXC: https://promote.mexc.com/b/nfinfinity (10% discount on trading fees)                             ##
##  ByBit: https://partner.bybit.com/b/nfi                                                                 ##
##  Bitget: https://bonus.bitget.com/fdqe83481698435803831 (lifetime 20% +10% extra spot rebate)           ##
##  BitMart: https://www.bitmart.com/invite/nfinfinity/en-US (20% lifetime discount on trading fees)       ##
##  HTX: https://www.htx.com/invite/en-us/1f?invite_code=ubpt2223                                          ##
##         (Welcome Bonus worth 241 USDT upon completion of a deposit and trade)                           ##
##  Bitvavo: https://bitvavo.com/invite?a=D22103A4BC (no fees for the first € 10000)                       ##
#############################################################################################################


class NostalgiaForInfinityX7(IStrategy):
  INTERFACE_VERSION = 3

  def version(self) -> str:
    return "v17.4.57"

  stoploss = -0.99

  # Trailing stoploss (not used)
  trailing_stop = False
  trailing_only_offset_is_reached = True
  trailing_stop_positive = 0.01
  trailing_stop_positive_offset = 0.03

  use_custom_stoploss = False
  stoploss_on_exchange = False

  # Optimal timeframe for the strategy.
  timeframe = "5m"
  info_timeframes = ["15m", "1h", "4h", "1d"]

  # BTC informatives
  btc_info_timeframes = ["5m", "15m", "1h", "4h", "1d"]

  # Backtest Age Filter emulation
  has_bt_agefilter = False
  bt_min_age_days = 3

  # Exchange Downtime protection
  has_downtime_protection = False

  # Do you want to use the hold feature? (with hold-trades.json)
  hold_support_enabled = True

  # Run "populate_indicators()" only for new candle.
  process_only_new_candles = True

  # These values can be overridden in the "ask_strategy" section in the config.
  use_exit_signal = True
  exit_profit_only = False
  ignore_roi_if_entry_signal = True

  # Number of candles the strategy requires before producing valid signals
  startup_candle_count: int = 800

  # Number of cores to use for pandas_ta indicators calculations
  num_cores_indicators_calc = 0

  # Long Normal mode tags
  long_normal_mode_tags = ["1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13"]
  # Long Pump mode tags
  long_pump_mode_tags = ["21", "22", "23", "24", "25", "26"]
  # Long Quick mode tags
  long_quick_mode_tags = ["41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53"]
  # Long rebuy mode tags
  long_rebuy_mode_tags = ["61", "62", "63"]
  # Long high profit mode tags
  long_high_profit_mode_tags = ["81", "82"]
  # Long rapid mode tags
  long_rapid_mode_tags = ["101", "102", "103", "104", "105", "106", "107", "108", "109", "110"]
  # Long grind mode tags
  long_grind_mode_tags = ["120"]
  # Long btc mode tags
  long_btc_mode_tags = ["121"]
  # Long top coins mode tags
  long_top_coins_mode_tags = ["141", "142", "143", "144", "145"]
  # Long scalp mode tags
  long_scalp_mode_tags = ["161", "162", "163"]

  long_normal_mode_name = "long_normal"
  long_pump_mode_name = "long_pump"
  long_quick_mode_name = "long_quick"
  long_rebuy_mode_name = "long_rebuy"
  long_high_profit_mode_name = "long_hp"
  long_rapid_mode_name = "long_rapid"
  long_grind_mode_name = "long_grind"
  long_btc_mode_name = "long_btc"
  long_top_coins_mode_name = "long_tc"
  long_scalp_mode_name = "long_scalp"

  # Shorting

  # Short normal mode tags
  short_normal_mode_tags = ["501", "502"]
  # Short Pump mode tags
  short_pump_mode_tags = ["521", "522", "523", "524", "525", "526"]
  # Short Quick mode tags
  short_quick_mode_tags = ["541", "542", "543", "544", "545", "546", "547", "548", "549", "550"]
  # Short rebuy mode tags
  short_rebuy_mode_tags = ["561"]
  # Short mode tags
  short_high_profit_mode_tags = ["581", "582"]
  # Short rapid mode tags
  short_rapid_mode_tags = ["601", "602", "603", "604", "605", "606", "607", "608", "609", "610"]
  # Short grind mode tags
  short_grind_mode_tags = ["620"]
  # Short top coins mode tags
  short_top_coins_mode_tags = ["641", "642"]
  # Short scalp mode tags
  short_scalp_mode_tags = ["661"]

  short_normal_mode_name = "short_normal"
  short_pump_mode_name = "short_pump"
  short_quick_mode_name = "short_quick"
  short_rebuy_mode_name = "short_rebuy"
  short_high_profit_mode_name = "short_hp"
  short_rapid_mode_name = "short_rapid"
  short_top_coins_mode_name = "short_tc"
  short_scalp_mode_name = "short_scalp"

  is_futures_mode = False
  futures_mode_leverage = 3.0
  futures_mode_leverage_rebuy_mode = 3.0
  futures_mode_leverage_grind_mode = 3.0

  # Limit the number of long/short trades for futures (0 for no limit)
  futures_max_open_trades_long = 0
  futures_max_open_trades_short = 0

  # Based on the the first entry (regardless of rebuys)
  stop_threshold_spot = 0.10
  stop_threshold_futures = 0.10
  stop_threshold_doom_spot = 0.20
  stop_threshold_doom_futures = 0.20
  stop_threshold_spot_rebuy = 1.0
  stop_threshold_futures_rebuy = 1.0
  stop_threshold_rapid_spot = 0.20
  stop_threshold_rapid_futures = 0.20
  stop_threshold_scalp_spot = 0.20
  stop_threshold_scalp_futures = 0.20

  # user specified fees to be used for profit calculations
  custom_fee_open_rate = None
  custom_fee_close_rate = None

  # Rebuy mode minimum number of free slots
  rebuy_mode_min_free_slots = 2

  # Position adjust feature
  position_adjustment_enable = True

  # Grinding feature
  grinding_enable = True
  derisk_enable = True
  stops_enable = True
  doom_stops_enable = True
  u_e_stops_enable = False

  # Grinding
  grinding_v1_max_stake = 1.0  # ratio of first entry
  derisk_use_grind_stops = False

  grind_1_stop_grinds_spot = -0.50
  grind_1_profit_threshold_spot = 0.018
  grind_1_stakes_spot = [0.24, 0.26, 0.28]
  grind_1_sub_thresholds_spot = [-0.12, -0.16, -0.20]

  grind_1_stop_grinds_futures = -0.50
  grind_1_profit_threshold_futures = 0.018
  grind_1_stakes_futures = [0.24, 0.26, 0.28]
  grind_1_sub_thresholds_futures = [-0.12, -0.16, -0.20]

  grind_2_stop_grinds_spot = -0.50
  grind_2_profit_threshold_spot = 0.018
  grind_2_stakes_spot = [0.20, 0.24, 0.28]
  grind_2_sub_thresholds_spot = [-0.12, -0.16, -0.20]

  grind_2_stop_grinds_futures = -0.50
  grind_2_profit_threshold_futures = 0.018
  grind_2_stakes_futures = [0.20, 0.24, 0.28]
  grind_2_sub_thresholds_futures = [-0.12, -0.16, -0.20]

  grind_3_stop_grinds_spot = -0.50
  grind_3_profit_threshold_spot = 0.018
  grind_3_stakes_spot = [0.20, 0.22, 0.24]
  grind_3_sub_thresholds_spot = [-0.12, -0.16, -0.20]

  grind_3_stop_grinds_futures = -0.50
  grind_3_profit_threshold_futures = 0.018
  grind_3_stakes_futures = [0.20, 0.22, 0.24]
  grind_3_sub_thresholds_futures = [-0.12, -0.16, -0.20]

  grind_4_stop_grinds_spot = -0.50
  grind_4_profit_threshold_spot = 0.018
  grind_4_stakes_spot = [0.20, 0.22, 0.24]
  grind_4_sub_thresholds_spot = [-0.12, -0.16, -0.20]

  grind_4_stop_grinds_futures = -0.50
  grind_4_profit_threshold_futures = 0.018
  grind_4_stakes_futures = [0.20, 0.22, 0.24]
  grind_4_sub_thresholds_futures = [-0.12, -0.16, -0.20]

  grind_5_stop_grinds_spot = -0.50
  grind_5_profit_threshold_spot = 0.048
  grind_5_stakes_spot = [0.20, 0.22, 0.24]
  grind_5_sub_thresholds_spot = [-0.12, -0.16, -0.20]

  grind_5_stop_grinds_futures = -0.50
  grind_5_profit_threshold_futures = 0.048
  grind_5_stakes_futures = [0.20, 0.22, 0.24]
  grind_5_sub_thresholds_futures = [-0.12, -0.16, -0.20]

  grind_6_stop_grinds_spot = -0.50
  grind_6_profit_threshold_spot = 0.018
  grind_6_stakes_spot = [0.10, 0.11, 0.12, 0.13, 0.14, 0.15, 0.16, 0.17, 0.18]
  grind_6_sub_thresholds_spot = [-0.03, -0.08, -0.10, -0.12, -0.14, -0.16, -0.18, -0.20, -0.22]

  grind_6_stop_grinds_futures = -0.50
  grind_6_profit_threshold_futures = 0.018
  grind_6_stakes_futures = [0.10, 0.11, 0.12, 0.13, 0.14, 0.15, 0.16, 0.17, 0.18]
  grind_6_sub_thresholds_futures = [-0.03, -0.08, -0.10, -0.12, -0.14, -0.16, -0.18, -0.20, -0.22]

  grind_1_derisk_1_stop_grinds_spot = -0.50
  grind_1_derisk_1_profit_threshold_spot = 0.018
  grind_1_derisk_1_stakes_spot = [0.20, 0.24, 0.28]
  grind_1_derisk_1_sub_thresholds_spot = [-0.12, -0.16, -0.20]

  grind_1_derisk_1_stop_grinds_futures = -0.50
  grind_1_derisk_1_profit_threshold_futures = 0.018
  grind_1_derisk_1_stakes_futures = [0.20, 0.24, 0.28]
  grind_1_derisk_1_sub_thresholds_futures = [-0.12, -0.16, -0.20]

  grind_2_derisk_1_stop_grinds_spot = -0.50
  grind_2_derisk_1_profit_threshold_spot = 0.018
  grind_2_derisk_1_stakes_spot = [0.20, 0.24, 0.28]
  grind_2_derisk_1_sub_thresholds_spot = [-0.12, -0.16, -0.20]

  grind_2_derisk_1_stop_grinds_futures = -0.50
  grind_2_derisk_1_profit_threshold_futures = 0.018
  grind_2_derisk_1_stakes_futures = [0.20, 0.24, 0.28]
  grind_2_derisk_1_sub_thresholds_futures = [-0.12, -0.16, -0.20]

  grinds_stop_spot = -0.12
  grinds_stop_futures = -0.12

  # Non rebuy modes
  regular_mode_stake_multiplier_spot = [1.0]
  regular_mode_stake_multiplier_futures = [1.0]
  regular_mode_use_grind_stops = False

  regular_mode_rebuy_stakes_spot = [0.10, 0.10, 0.10]
  regular_mode_rebuy_thresholds_spot = [-0.12, -0.14, -0.16]
  regular_mode_grind_1_stakes_spot = [0.22, 0.24, 0.26]
  regular_mode_grind_1_thresholds_spot = [-0.06, -0.10, -0.12]
  regular_mode_grind_1_stop_grinds_spot = -0.20
  regular_mode_grind_1_profit_threshold_spot = 0.018
  regular_mode_grind_2_stakes_spot = [0.14, 0.20, 0.26]
  regular_mode_grind_2_thresholds_spot = [-0.04, -0.10, -0.12]
  regular_mode_grind_2_stop_grinds_spot = -0.20
  regular_mode_grind_2_profit_threshold_spot = 0.018
  regular_mode_grind_3_stakes_spot = [0.18, 0.20, 0.22]
  regular_mode_grind_3_thresholds_spot = [-0.03, -0.10, -0.12]
  regular_mode_grind_3_stop_grinds_spot = -0.20
  regular_mode_grind_3_profit_threshold_spot = 0.018
  regular_mode_grind_4_stakes_spot = [0.18, 0.20, 0.22]
  regular_mode_grind_4_thresholds_spot = [-0.03, -0.10, -0.12]
  regular_mode_grind_4_stop_grinds_spot = -0.20
  regular_mode_grind_4_profit_threshold_spot = 0.018
  regular_mode_grind_5_stakes_spot = [0.18, 0.20, 0.22]
  regular_mode_grind_5_thresholds_spot = [-0.03, -0.10, -0.12]
  regular_mode_grind_5_stop_grinds_spot = -0.20
  regular_mode_grind_5_profit_threshold_spot = 0.048
  regular_mode_grind_6_stakes_spot = [0.05, 0.057, 0.065, 0.074, 0.084, 0.095, 0.107, 0.121, 0.137]
  regular_mode_grind_6_thresholds_spot = [-0.025, -0.05, -0.06, -0.07, -0.08, -0.09, -0.10, -0.11, -0.12]
  regular_mode_grind_6_stop_grinds_spot = -0.20
  regular_mode_grind_6_profit_threshold_spot = 0.018
  regular_mode_derisk_1_spot = -0.24
  regular_mode_derisk_1_spot_old = -0.80
  regular_mode_derisk_1_reentry_spot = -0.08
  regular_mode_derisk_spot = -0.24
  regular_mode_derisk_spot_old = -1.60
  regular_mode_derisk_1_scalp_mode_spot = -0.05

  regular_mode_rebuy_stakes_futures = [0.10, 0.10, 0.10]
  regular_mode_rebuy_thresholds_futures = [-0.12, -0.14, -0.16]
  regular_mode_grind_1_stakes_futures = [0.22, 0.24, 0.26]
  regular_mode_grind_1_thresholds_futures = [-0.06, -0.10, -0.12]
  regular_mode_grind_1_stop_grinds_futures = -0.20
  regular_mode_grind_1_profit_threshold_futures = 0.018
  regular_mode_grind_2_stakes_futures = [0.14, 0.20, 0.26]
  regular_mode_grind_2_thresholds_futures = [-0.04, -0.10, -0.12]
  regular_mode_grind_2_stop_grinds_futures = -0.20
  regular_mode_grind_2_profit_threshold_futures = 0.018
  regular_mode_grind_3_stakes_futures = [0.18, 0.20, 0.22]
  regular_mode_grind_3_thresholds_futures = [-0.03, -0.10, -0.12]
  regular_mode_grind_3_stop_grinds_futures = -0.20
  regular_mode_grind_3_profit_threshold_futures = 0.018
  regular_mode_grind_4_stakes_futures = [0.18, 0.20, 0.22]
  regular_mode_grind_4_thresholds_futures = [-0.03, -0.10, -0.12]
  regular_mode_grind_4_stop_grinds_futures = -0.20
  regular_mode_grind_4_profit_threshold_futures = 0.018
  regular_mode_grind_5_stakes_futures = [0.18, 0.20, 0.22]
  regular_mode_grind_5_thresholds_futures = [-0.03, -0.10, -0.12]
  regular_mode_grind_5_stop_grinds_futures = -0.20
  regular_mode_grind_5_profit_threshold_futures = 0.048
  regular_mode_grind_6_stakes_futures = [0.05, 0.057, 0.065, 0.074, 0.084, 0.095, 0.107, 0.121, 0.137]
  regular_mode_grind_6_thresholds_futures = [-0.025, -0.05, -0.06, -0.07, -0.08, -0.09, -0.10, -0.11, -0.12]
  regular_mode_grind_6_stop_grinds_futures = -0.20
  regular_mode_grind_6_profit_threshold_futures = 0.018
  regular_mode_derisk_1_futures = -0.60
  regular_mode_derisk_1_futures_old = -0.80
  regular_mode_derisk_1_reentry_futures = -0.08  # without leverage
  regular_mode_derisk_futures = -0.60
  regular_mode_derisk_futures_old = -1.20
  regular_mode_derisk_1_scalp_mode_futures = -0.05

  # Grinding v2
  grinding_v2_max_stake = 1.0  # ratio of first entry
  grinding_v2_max_grinds_and_buybacks = 20  # current open

  grinding_v2_derisk_level_1_enable = True
  grinding_v2_derisk_level_1_spot = [-0.06, -0.15]
  grinding_v2_derisk_level_1_futures = [-0.18, -0.35]
  grinding_v2_derisk_level_2_enable = True
  grinding_v2_derisk_level_2_spot = [-0.08, -0.18]
  grinding_v2_derisk_level_2_futures = [-0.16, -0.54]
  grinding_v2_derisk_level_3_enable = True
  grinding_v2_derisk_level_3_spot = [-0.10, -0.20]
  grinding_v2_derisk_level_3_futures = [-0.30, -0.60]
  grinding_v2_derisk_level_1_stake_spot = 0.20
  grinding_v2_derisk_level_1_stake_futures = 0.20
  grinding_v2_derisk_level_2_stake_spot = 0.30
  grinding_v2_derisk_level_2_stake_futures = 0.30
  grinding_v2_derisk_level_3_stake_spot = 0.50
  grinding_v2_derisk_level_3_stake_futures = 0.50
  grinding_v2_derisk_global_enable = False
  grinding_v2_derisk_global_spot = -0.10
  grinding_v2_derisk_global_futures = -0.30

  grinding_v2_grind_1_enable = True
  grinding_v2_grind_1_stakes_spot = [0.20, 0.22, 0.24, 0.26, 0.28]
  grinding_v2_grind_1_thresholds_spot = [-0.06, -0.07, -0.08, -0.09, -0.10]
  grinding_v2_grind_1_stakes_futures = [0.20, 0.22, 0.24, 0.26, 0.28]
  grinding_v2_grind_1_thresholds_futures = [-0.06, -0.07, -0.08, -0.09, -0.10]
  grinding_v2_grind_1_profit_threshold_spot = 0.02
  grinding_v2_grind_1_profit_threshold_futures = 0.02
  grinding_v2_grind_1_use_derisk = True
  grinding_v2_grind_1_derisk_spot = -0.26
  grinding_v2_grind_1_derisk_futures = -0.26

  grinding_v2_grind_2_enable = True
  grinding_v2_grind_2_stakes_spot = [0.10, 0.12, 0.14, 0.16, 0.18]
  grinding_v2_grind_2_thresholds_spot = [-0.06, -0.07, -0.08, -0.09, -0.10]
  grinding_v2_grind_2_stakes_futures = [0.10, 0.12, 0.14, 0.16, 0.18]
  grinding_v2_grind_2_thresholds_futures = [-0.06, -0.07, -0.08, -0.09, -0.10]
  grinding_v2_grind_2_profit_threshold_spot = 0.02
  grinding_v2_grind_2_profit_threshold_futures = 0.02
  grinding_v2_grind_2_use_derisk = True
  grinding_v2_grind_2_derisk_spot = -0.26
  grinding_v2_grind_2_derisk_futures = -0.26

  grinding_v2_grind_3_enable = True
  grinding_v2_grind_3_stakes_spot = [0.10, 0.12, 0.14, 0.16, 0.18]
  grinding_v2_grind_3_thresholds_spot = [-0.06, -0.07, -0.08, -0.09, -0.10]
  grinding_v2_grind_3_stakes_futures = [0.10, 0.12, 0.14, 0.16, 0.18]
  grinding_v2_grind_3_thresholds_futures = [-0.06, -0.07, -0.08, -0.09, -0.10]
  grinding_v2_grind_3_profit_threshold_spot = 0.02
  grinding_v2_grind_3_profit_threshold_futures = 0.02
  grinding_v2_grind_3_use_derisk = True
  grinding_v2_grind_3_derisk_spot = -0.26
  grinding_v2_grind_3_derisk_futures = -0.26

  grinding_v2_grind_4_enable = True
  grinding_v2_grind_4_stakes_spot = [0.05, 0.06, 0.07, 0.08, 0.09, 0.10, 0.11]
  grinding_v2_grind_4_thresholds_spot = [-0.06, -0.07, -0.09, -0.12, -0.16, -0.21, -0.27]
  grinding_v2_grind_4_stakes_futures = [0.05, 0.06, 0.07, 0.08, 0.09, 0.10, 0.11]
  grinding_v2_grind_4_thresholds_futures = [-0.06, -0.07, -0.09, -0.12, -0.16, -0.21, -0.27]
  grinding_v2_grind_4_profit_threshold_spot = 0.10
  grinding_v2_grind_4_profit_threshold_futures = 0.10
  grinding_v2_grind_4_use_derisk = True
  grinding_v2_grind_4_derisk_spot = -0.26
  grinding_v2_grind_4_derisk_futures = -0.26

  grinding_v2_grind_5_enable = True
  grinding_v2_grind_5_stakes_spot = [0.05, 0.06, 0.07, 0.08, 0.09, 0.10, 0.11]
  grinding_v2_grind_5_thresholds_spot = [-0.06, -0.07, -0.09, -0.12, -0.16, -0.21, -0.27]
  grinding_v2_grind_5_stakes_futures = [0.05, 0.06, 0.07, 0.08, 0.09, 0.10, 0.11]
  grinding_v2_grind_5_thresholds_futures = [-0.06, -0.07, -0.09, -0.12, -0.16, -0.21, -0.27]
  grinding_v2_grind_5_profit_threshold_spot = 0.10
  grinding_v2_grind_5_profit_threshold_futures = 0.10
  grinding_v2_grind_5_use_derisk = True
  grinding_v2_grind_5_derisk_spot = -0.26
  grinding_v2_grind_5_derisk_futures = -0.26

  grinding_v2_buyback_1_enable = True
  grinding_v2_buyback_1_stake_spot = 0.10
  grinding_v2_buyback_1_stake_futures = 0.10
  grinding_v2_buyback_1_distance_ratio_spot = -0.06
  grinding_v2_buyback_1_distance_ratio_futures = -0.06
  grinding_v2_buyback_1_profit_threshold_spot = 0.05
  grinding_v2_buyback_1_profit_threshold_futures = 0.05
  grinding_v2_buyback_1_use_derisk = True
  grinding_v2_buyback_1_derisk_spot = -0.26
  grinding_v2_buyback_1_derisk_futures = -0.26

  grinding_v2_buyback_2_enable = True
  grinding_v2_buyback_2_stake_spot = 0.10
  grinding_v2_buyback_2_stake_futures = 0.10
  grinding_v2_buyback_2_distance_ratio_spot = -0.12
  grinding_v2_buyback_2_distance_ratio_futures = -0.12
  grinding_v2_buyback_2_profit_threshold_spot = 0.05
  grinding_v2_buyback_2_profit_threshold_futures = 0.05
  grinding_v2_buyback_2_use_derisk = True
  grinding_v2_buyback_2_derisk_spot = -0.26
  grinding_v2_buyback_2_derisk_futures = -0.26

  grinding_v2_buyback_3_enable = True
  grinding_v2_buyback_3_stake_spot = 0.10
  grinding_v2_buyback_3_stake_futures = 0.10
  grinding_v2_buyback_3_distance_ratio_spot = -0.16
  grinding_v2_buyback_3_distance_ratio_futures = -0.16
  grinding_v2_buyback_3_profit_threshold_spot = 0.05
  grinding_v2_buyback_3_profit_threshold_futures = 0.05
  grinding_v2_buyback_3_use_derisk = True
  grinding_v2_buyback_3_derisk_spot = -0.26
  grinding_v2_buyback_3_derisk_futures = -0.26

  # System v3
  system_v3_name = "system_v3"
  system_v3_1_name = "system_v3_1"
  system_v3_2_name = "system_v3_2"
  system_name_use = system_v3_2_name

  system_v3_max_stake = 1.0  # ratio of first entry
  system_v3_1_max_stake = 3.0  # ratio of first entry

  system_v3_stop_threshold_doom_spot = 0.14
  system_v3_stop_threshold_doom_futures = 0.35
  system_v3_stop_threshold_spot_rebuy = 0.70
  system_v3_stop_threshold_futures_rebuy = 1.75
  system_v3_stop_threshold_rapid_spot = 0.14
  system_v3_stop_threshold_rapid_futures = 0.35
  system_v3_stop_threshold_scalp_spot = 0.14
  system_v3_stop_threshold_scalp_futures = 0.35

  system_v3_1_stop_threshold_doom_spot = 0.24
  system_v3_1_stop_threshold_doom_futures = 0.70
  system_v3_1_stop_threshold_spot_rebuy = 0.47
  system_v3_1_stop_threshold_futures_rebuy = 1.40
  system_v3_1_stop_threshold_rapid_spot = 0.24
  system_v3_1_stop_threshold_rapid_futures = 0.70
  system_v3_1_stop_threshold_scalp_spot = 0.24
  system_v3_1_stop_threshold_scalp_futures = 0.70

  system_v3_2_stops_enable = False
  system_v3_2_stop_threshold_doom_spot = 0.12
  system_v3_2_stop_threshold_doom_futures = 0.35
  system_v3_2_stop_threshold_spot_rebuy = 0.48
  system_v3_2_stop_threshold_futures_rebuy = 1.40
  system_v3_2_stop_threshold_rapid_spot = 0.12
  system_v3_2_stop_threshold_rapid_futures = 0.35
  system_v3_2_stop_threshold_scalp_spot = 0.12
  system_v3_2_stop_threshold_scalp_futures = 0.35

  system_v3_1_stake_multiplier = 0.50
  system_v3_1_rebuy_stakes_spot = [0.5, 0.5]
  system_v3_1_rebuy_stakes_futures = [0.5, 0.5]
  system_v3_1_rebuy_thresholds_spot = [-0.25, -0.16, -0.16, -0.20]
  system_v3_1_rebuy_thresholds_futures = [-0.25, -0.16, -0.16, -0.20]

  system_v3_derisk_level_1_enable = True
  system_v3_derisk_level_1_spot = [-0.04, -0.06]
  system_v3_derisk_level_1_futures = [-0.12, -0.18]
  system_v3_derisk_level_1_stake_spot = 0.10
  system_v3_derisk_level_1_stake_futures = 0.10
  system_v3_derisk_level_2_enable = True
  system_v3_derisk_level_2_spot = [-0.06, -0.08]
  system_v3_derisk_level_2_futures = [-0.18, -0.24]
  system_v3_derisk_level_2_stake_spot = 0.10
  system_v3_derisk_level_2_stake_futures = 0.10
  system_v3_derisk_level_3_enable = True
  system_v3_derisk_level_3_spot = [-0.08, -0.10]
  system_v3_derisk_level_3_futures = [-0.24, -0.30]
  system_v3_derisk_level_3_stake_spot = 0.10
  system_v3_derisk_level_3_stake_futures = 0.10

  system_v3_2_stake_multiplier = 1.0
  system_v3_2_derisk_level_1_enable = True
  system_v3_2_derisk_level_1_spot = [-0.04, -0.08]
  system_v3_2_derisk_level_1_futures = [-0.12, -0.24]
  system_v3_2_derisk_level_1_stake_spot = 0.20
  system_v3_2_derisk_level_1_stake_futures = 0.20
  system_v3_2_derisk_level_2_enable = True
  system_v3_2_derisk_level_2_spot = [-0.04, -0.12]
  system_v3_2_derisk_level_2_futures = [-0.12, -0.36]
  system_v3_2_derisk_level_2_stake_spot = 0.30
  system_v3_2_derisk_level_2_stake_futures = 0.30
  system_v3_2_derisk_level_3_enable = True
  system_v3_2_derisk_level_3_spot = [-0.04, -0.16]
  system_v3_2_derisk_level_3_futures = [-0.12, -0.48]
  system_v3_2_derisk_level_3_stake_spot = 0.50
  system_v3_2_derisk_level_3_stake_futures = 0.50
  system_v3_2_derisk_level_4_enable = False
  system_v3_2_derisk_level_4_spot = [-0.02, -0.08]
  system_v3_2_derisk_level_4_futures = [-0.06, -0.24]
  system_v3_2_derisk_level_4_stake_spot = 1.0
  system_v3_2_derisk_level_4_stake_futures = 1.0

  system_v3_grind_1_enable = True
  system_v3_grind_1_stakes_spot = [0.20, 0.20, 0.20, 0.20, 0.20]
  system_v3_grind_1_thresholds_spot = [-0.06, -0.07, -0.08, -0.09, -0.10]
  system_v3_grind_1_stakes_futures = [0.20, 0.20, 0.20, 0.20, 0.20]
  system_v3_grind_1_thresholds_futures = [-0.06, -0.07, -0.08, -0.09, -0.10]
  system_v3_grind_1_profit_threshold_spot = 0.025
  system_v3_grind_1_profit_threshold_futures = 0.025
  system_v3_grind_1_use_derisk = True
  system_v3_grind_1_derisk_spot = -0.12
  system_v3_grind_1_derisk_futures = -0.12

  system_v3_grind_2_enable = True
  system_v3_grind_2_stakes_spot = [0.10, 0.12, 0.14, 0.16, 0.18]
  system_v3_grind_2_thresholds_spot = [-0.06, -0.07, -0.08, -0.09, -0.10]
  system_v3_grind_2_stakes_futures = [0.10, 0.12, 0.14, 0.16, 0.18]
  system_v3_grind_2_thresholds_futures = [-0.06, -0.07, -0.08, -0.09, -0.10]
  system_v3_grind_2_profit_threshold_spot = 0.035
  system_v3_grind_2_profit_threshold_futures = 0.035
  system_v3_grind_2_use_derisk = True
  system_v3_grind_2_derisk_spot = -0.12
  system_v3_grind_2_derisk_futures = -0.12

  system_v3_grind_3_enable = True
  system_v3_grind_3_stakes_spot = [0.10, 0.12, 0.14, 0.16, 0.18]
  system_v3_grind_3_thresholds_spot = [-0.06, -0.07, -0.08, -0.09, -0.10]
  system_v3_grind_3_stakes_futures = [0.10, 0.12, 0.14, 0.16, 0.18]
  system_v3_grind_3_thresholds_futures = [-0.06, -0.07, -0.08, -0.09, -0.10]
  system_v3_grind_3_profit_threshold_spot = 0.04
  system_v3_grind_3_profit_threshold_futures = 0.04
  system_v3_grind_3_use_derisk = True
  system_v3_grind_3_derisk_spot = -0.12
  system_v3_grind_3_derisk_futures = -0.12

  system_v3_grind_4_enable = True
  system_v3_grind_4_stakes_spot = [0.05, 0.06, 0.07, 0.08, 0.09]
  system_v3_grind_4_thresholds_spot = [-0.06, -0.07, -0.08, -0.09, -0.10]
  system_v3_grind_4_stakes_futures = [0.05, 0.06, 0.07, 0.08, 0.09]
  system_v3_grind_4_thresholds_futures = [-0.06, -0.07, -0.08, -0.09, -0.10]
  system_v3_grind_4_profit_threshold_spot = 0.05
  system_v3_grind_4_profit_threshold_futures = 0.05
  system_v3_grind_4_use_derisk = True
  system_v3_grind_4_derisk_spot = -0.12
  system_v3_grind_4_derisk_futures = -0.12

  system_v3_grind_5_enable = True
  system_v3_grind_5_stakes_spot = [0.05, 0.06, 0.07, 0.08, 0.09]
  system_v3_grind_5_thresholds_spot = [-0.06, -0.07, -0.08, -0.09, -0.10]
  system_v3_grind_5_stakes_futures = [0.05, 0.06, 0.07, 0.08, 0.09]
  system_v3_grind_5_thresholds_futures = [-0.06, -0.07, -0.08, -0.09, -0.10]
  system_v3_grind_5_profit_threshold_spot = 0.06
  system_v3_grind_5_profit_threshold_futures = 0.06
  system_v3_grind_5_use_derisk = True
  system_v3_grind_5_derisk_spot = -0.12
  system_v3_grind_5_derisk_futures = -0.12

  system_v3_buyback_1_enable = False
  system_v3_buyback_1_stake_spot = 1.00
  system_v3_buyback_1_stake_futures = 1.00
  system_v3_buyback_1_distance_ratio_negative_spot = -0.04
  system_v3_buyback_1_distance_ratio_negative_futures = -0.04
  system_v3_buyback_1_distance_ratio_positive_spot = 0.02
  system_v3_buyback_1_distance_ratio_positive_futures = 0.02
  # system_v3_buyback_1_profit_threshold_spot = 0.05
  # system_v3_buyback_1_profit_threshold_futures = 0.05
  system_v3_buyback_1_use_derisk = True
  system_v3_buyback_1_derisk_spot = -0.08
  system_v3_buyback_1_derisk_futures = -0.08

  # Rebuy mode
  rebuy_mode_stake_multiplier = 0.35
  rebuy_mode_derisk_spot = -0.60
  rebuy_mode_derisk_futures = -0.60
  rebuy_mode_stakes_spot = [1.0, 1.0]
  rebuy_mode_stakes_futures = [1.0, 1.0]
  rebuy_mode_thresholds_spot = [-0.08, -0.10]
  rebuy_mode_thresholds_futures = [-0.08, -0.10]

  # Rebuy mode v3
  system_v3_rebuy_mode_stake_multiplier = 0.25
  system_v3_rebuy_mode_derisk_spot = -0.48
  system_v3_rebuy_mode_derisk_futures = -1.40
  system_v3_rebuy_mode_stakes_spot = [1.0, 1.0, 1.0, 1.0]
  system_v3_rebuy_mode_stakes_futures = [1.0, 1.0, 1.0, 1.0]
  system_v3_rebuy_mode_thresholds_spot = [-0.08, -0.12, -0.16, -0.20]
  system_v3_rebuy_mode_thresholds_futures = [-0.08, -0.12, -0.16, -0.20]

  # Rapid mode
  rapid_mode_stake_multiplier_spot = [0.75]
  rapid_mode_stake_multiplier_futures = [0.75]

  # Scalp mode
  min_free_slots_scalp_mode = 1

  # Grind mode
  grind_mode_stake_multiplier_spot = [0.20, 0.30, 0.40, 0.50, 0.60, 0.70]
  grind_mode_stake_multiplier_futures = [0.20, 0.30, 0.40, 0.50]
  grind_mode_first_entry_profit_threshold_spot = 0.018
  grind_mode_first_entry_profit_threshold_futures = 0.018
  grind_mode_first_entry_stop_threshold_spot = -0.20
  grind_mode_first_entry_stop_threshold_futures = -0.20
  grind_mode_max_slots = 1
  grind_mode_coins = [
    "AAVE",
    "ADA",
    "ALGO",
    "APE",
    "APT",
    "ARB",
    "ATOM",
    "AVAX",
    "BCH",
    "BNB",
    "BTC",
    "CAKE",
    "CRV",
    "DOGE",
    "DOT",
    "DYDX",
    "ETC",
    "ETH",
    "FIL",
    "GALA",
    "HBAR",
    "HYPE",
    "ICP",
    "INJ",
    "IOTA",
    "JUP",
    "KAS",
    "LDO",
    "LINK",
    "LTC",
    "NEAR",
    "NEO",
    "OP",
    "POL",
    "RENDER",
    "RUNE",
    "SAND",
    "SEI",
    "SOL",
    "SUI",
    "THETA",
    "TIA",
    "TON",
    "TRX",
    "UNI",
    "VET",
    "XLM",
    "XMR",
    "XRP",
    "XTZ",
    "ZEC",
  ]

  btc_mode_max_slots = 0
  btc_mode_coins = [
    "BTC",
  ]

  # Top coins mode coins
  top_coins_mode_coins = [
    "1INCH",
    "AAVE",
    "ADA",
    "ALGO",
    "APE",
    "APT",
    "ARB",
    "ATOM",
    "AVAX",
    "BCH",
    "BNB",
    "BTC",
    "CAKE",
    "CRV",
    "DASH",
    "DOGE",
    "DOT",
    "DYDX",
    "ETC",
    "ETH",
    "FIL",
    "GALA",
    "HBAR",
    "HYPE",
    "ICP",
    "INJ",
    "IOTA",
    "JUP",
    "KAS",
    "LDO",
    "LINK",
    "LTC",
    "NEAR",
    "NEO",
    "ONDO",
    "OP",
    "POL",
    "RENDER",
    "RUNE",
    "SAND",
    "SEI",
    "SOL",
    "SUI",
    "THETA",
    "TIA",
    "TON",
    "TRX",
    "UNI",
    "VET",
    "WLD",
    "XLM",
    "XMR",
    "XRP",
    "XTZ",
    "ZEC",
  ]

  # Profit max thresholds
  profit_max_thresholds = [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.05, 0.05]

  # Max allowed buy "slippage", how high to buy on the candle
  max_slippage = 0.01

  # BTC/ETH stakes
  btc_stakes = ["BTC", "ETH"]

  #############################################################
  # Buy side configuration

  long_entry_signal_params = {
    # Enable/Disable conditions
    # -------------------------------------------------------
    "long_entry_condition_1_enable": True,
    "long_entry_condition_2_enable": True,
    "long_entry_condition_3_enable": True,
    "long_entry_condition_4_enable": True,
    "long_entry_condition_5_enable": True,
    "long_entry_condition_6_enable": True,
    "long_entry_condition_21_enable": True,
    "long_entry_condition_41_enable": True,
    "long_entry_condition_42_enable": True,
    "long_entry_condition_43_enable": True,
    "long_entry_condition_44_enable": True,
    "long_entry_condition_45_enable": True,
    "long_entry_condition_46_enable": True,
    "long_entry_condition_61_enable": True,
    "long_entry_condition_62_enable": True,
    "long_entry_condition_63_enable": True,
    "long_entry_condition_101_enable": True,
    "long_entry_condition_102_enable": True,
    "long_entry_condition_103_enable": True,
    "long_entry_condition_104_enable": True,
    "long_entry_condition_120_enable": True,
    "long_entry_condition_121_enable": False,
    "long_entry_condition_141_enable": True,
    "long_entry_condition_142_enable": True,
    "long_entry_condition_143_enable": True,
    "long_entry_condition_144_enable": True,
    "long_entry_condition_145_enable": True,
    "long_entry_condition_161_enable": True,
    "long_entry_condition_162_enable": True,
    "long_entry_condition_163_enable": True,
  }

  short_entry_signal_params = {
    # Enable/Disable conditions
    # -------------------------------------------------------
    "short_entry_condition_501_enable": True,
    "short_entry_condition_502_enable": True,
    # "short_entry_condition_503_enable": True,
    # "short_entry_condition_504_enable": True,
    # "short_entry_condition_541_enable": True,
    "short_entry_condition_542_enable": True,
    # "short_entry_condition_543_enable": True,
    # "short_entry_condition_603_enable": True,
    # "short_entry_condition_641_enable": True,
    # "short_entry_condition_642_enable": True,
    # "short_entry_condition_661_enable": True,
  }

  #############################################################
  # CACHES

  hold_trades_cache = None
  target_profit_cache = None
  #############################################################
  #
  #
  #  $$$$$$\   $$$$$$\  $$\      $$\ $$\      $$\  $$$$$$\  $$\   $$\
  # $$  __$$\ $$  __$$\ $$$\    $$$ |$$$\    $$$ |$$  __$$\ $$$\  $$ |
  # $$ /  \__|$$ /  $$ |$$$$\  $$$$ |$$$$\  $$$$ |$$ /  $$ |$$$$\ $$ |
  # $$ |      $$ |  $$ |$$\$$\$$ $$ |$$\$$\$$ $$ |$$ |  $$ |$$ $$\$$ |
  # $$ |      $$ |  $$ |$$ \$$$  $$ |$$ \$$$  $$ |$$ |  $$ |$$ \$$$$ |
  # $$ |  $$\ $$ |  $$ |$$ |\$  /$$ |$$ |\$  /$$ |$$ |  $$ |$$ |\$$$ |
  # \$$$$$$  | $$$$$$  |$$ | \_/ $$ |$$ | \_/ $$ | $$$$$$  |$$ | \$$ |
  #  \______/  \______/ \__|     \__|\__|     \__| \______/ \__|  \__|
  #
  #
  #
  # $$$$$$$$\ $$\   $$\ $$\   $$\  $$$$$$\ $$$$$$$$\ $$$$$$\  $$$$$$\  $$\   $$\  $$$$$$\
  # $$  _____|$$ |  $$ |$$$\  $$ |$$  __$$\\__$$  __|\_$$  _|$$  __$$\ $$$\  $$ |$$  __$$\
  # $$ |      $$ |  $$ |$$$$\ $$ |$$ /  \__|  $$ |     $$ |  $$ /  $$ |$$$$\ $$ |$$ /  \__|
  # $$$$$\    $$ |  $$ |$$ $$\$$ |$$ |        $$ |     $$ |  $$ |  $$ |$$ $$\$$ |\$$$$$$\
  # $$  __|   $$ |  $$ |$$ \$$$$ |$$ |        $$ |     $$ |  $$ |  $$ |$$ \$$$$ | \____$$\
  # $$ |      $$ |  $$ |$$ |\$$$ |$$ |  $$\   $$ |     $$ |  $$ |  $$ |$$ |\$$$ |$$\   $$ |
  # $$ |      \$$$$$$  |$$ | \$$ |\$$$$$$  |  $$ |   $$$$$$\  $$$$$$  |$$ | \$$ |\$$$$$$  |
  # \__|       \______/ \__|  \__| \______/   \__|   \______| \______/ \__|  \__| \______/
  #
  #

  ###############################################################################################
  # COMMON FUNCTIONS FOR BOTH LONG AND SHORT SIDE STARTS HERE
  ###############################################################################################

  def __init__(self, config: dict) -> None:
    # A list of parameters that can be changed through the config.
    NFI_SAFE_PARAMETERS = [
      "num_cores_indicators_calc",
      "custom_fee_open_rate",
      "custom_fee_close_rate",
      "futures_mode_leverage",
      "futures_mode_leverage_rebuy_mode",
      "futures_mode_leverage_grind_mode",
      "futures_max_open_trades_long",
      "futures_max_open_trades_short",
      "stop_threshold_doom_spot",
      "stop_threshold_doom_futures",
      "stop_threshold_rapid_spot",
      "stop_threshold_rapid_futures",
      "stop_threshold_scalp_spot",
      "stop_threshold_scalp_futures",
      "derisk_enable",
      "stops_enable",
      "regular_mode_derisk_1_spot",
      "regular_mode_derisk_spot",
      "regular_mode_derisk_1_futures",
      "regular_mode_derisk_futures",
      "grind_mode_max_slots",
      "grind_mode_coins",
      "max_slippage",
    ]

    if "ccxt_config" not in config["exchange"]:
      config["exchange"]["ccxt_config"] = {}
    if "ccxt_async_config" not in config["exchange"]:
      config["exchange"]["ccxt_async_config"] = {}

    options = {
      "brokerId": None,
      "broker": {"spot": None, "margin": None, "future": None, "delivery": None},
      "partner": {
        "spot": {"id": None, "key": None},
        "future": {"id": None, "key": None},
        "id": None,
        "key": None,
      },
    }

    config["exchange"]["ccxt_config"]["options"] = options
    config["exchange"]["ccxt_async_config"]["options"] = options
    super().__init__(config)
    if ("exit_profit_only" in self.config and self.config["exit_profit_only"]) or (
      "sell_profit_only" in self.config and self.config["sell_profit_only"]
    ):
      self.exit_profit_only = True

    # Advanced configuration mode. Allows to change any parameter.
    is_config_advanced_mode = "nfi_advanced_mode" in self.config and self.config["nfi_advanced_mode"] == True
    if is_config_advanced_mode:
      log.warning("The advanced configuration mode is enabled. I hope you know what you are doing.")

    # Configuration from the nfi_parameters block. New config style.
    if "nfi_parameters" in self.config and type(self.config["nfi_parameters"]) is dict:
      for nfi_param in self.config["nfi_parameters"]:
        if nfi_param in ["long_entry_signal_params", "short_entry_signal_params"]:
          continue
        if (nfi_param in NFI_SAFE_PARAMETERS or is_config_advanced_mode) and hasattr(self, nfi_param):
          log.info(
            f'Parameter {nfi_param} changed from "{getattr(self, nfi_param)}" to "{self.config["nfi_parameters"][nfi_param]}".'
          )
          setattr(self, nfi_param, self.config["nfi_parameters"][nfi_param])
        else:
          log.warning(f"Invalid or unsafe parameter: {nfi_param}.")

      self.update_signals_from_config(self.config["nfi_parameters"])

    # Parameter settings. Backward compatibility with the old configuration style.
    for nfi_param in NFI_SAFE_PARAMETERS:
      if (nfi_param in self.config) and hasattr(self, nfi_param):
        setattr(self, nfi_param, self.config[nfi_param])

    if self.target_profit_cache is None:
      bot_name = ""
      if "bot_name" in self.config:
        bot_name = self.config["bot_name"] + "-"
      self.target_profit_cache = Cache(
        self.config["user_data_dir"]
        / (
          "nfix7-profit_max-"
          + bot_name
          + self.config["exchange"]["name"]
          + "-"
          + self.config["stake_currency"]
          + ("-(backtest)" if (self.config["runmode"].value == "backtest") else "")
          + ("-(hyperopt)" if (self.config["runmode"].value == "hyperopt") else "")
          + ".json"
        )
      )

    # OKX, Kraken provides a lower number of candle data per API call
    if self.config["exchange"]["name"] in ["okx", "okex"]:
      self.startup_candle_count = 480
    elif self.config["exchange"]["name"] in ["kraken"]:
      self.startup_candle_count = 710
    elif self.config["exchange"]["name"] in ["bybit"]:
      self.startup_candle_count = 199
    elif self.config["exchange"]["name"] in ["bitget"]:
      self.startup_candle_count = 499
    elif self.config["exchange"]["name"] in ["bingx"]:
      self.startup_candle_count = 499

    if ("trading_mode" in self.config) and (self.config["trading_mode"] in ["futures", "margin"]):
      self.is_futures_mode = True
      self.can_short = True

    # If the cached data hasn't changed, it's a no-op
    self.target_profit_cache.save()

    # Parameter settings. Backward compatibility with the old configuration style.
    self.update_signals_from_config(self.config)

  # Plot configuration for FreqUI
  # ---------------------------------------------------------------------------------------------
  @property
  def plot_config(self):
    plot_config = {}

    plot_config["main_plot"] = {
      "EMA_12": {"color": "LightGreen"},
      "EMA_26": {"color": "Yellow"},
      "EMA_50": {"color": "DodgerBlue"},
      "EMA_200": {"color": "DarkRed"},
    }

    plot_config["subplots"] = {
      "long_pump_protection": {"global_protections_long_pump": {"color": "green"}},
      "long_dump_protection": {"global_protections_long_dump": {"color": "red"}},
    }

    return plot_config

  # Get Ticker Indicator
  # ---------------------------------------------------------------------------------------------
  def get_ticker_indicator(self):
    return int(self.timeframe[:-1])

  # Mark Profit Target
  # ---------------------------------------------------------------------------------------------
  def mark_profit_target(
    self,
    mode_name: str,
    pair: str,
    sell: bool,
    signal_name: str,
    trade: Trade,
    current_time: datetime,
    current_rate: float,
    current_profit: float,
    last_candle,
    previous_candle_1,
  ) -> tuple:
    if sell and (signal_name is not None):
      return pair, signal_name

    return None, None

  # Exit Profit Target
  # ---------------------------------------------------------------------------------------------
  def exit_profit_target(
    self,
    mode_name: str,
    pair: str,
    trade: Trade,
    current_time: datetime,
    current_rate: float,
    profit_stake: float,
    profit_ratio: float,
    profit_current_stake_ratio: float,
    profit_init_ratio: float,
    last_candle,
    previous_candle_1,
    previous_rate,
    previous_profit,
    previous_sell_reason,
    previous_time_profit_reached,
    enter_tags,
  ) -> tuple:
    is_backtest = self.is_backtest_mode()
    is_system_v3 = self.is_system_v3(trade)
    is_system_v3_1 = self.is_system_v3_1(trade)
    is_system_v3_2 = self.is_system_v3_2(trade)
    is_derisk = False
    if previous_sell_reason in [
      f"exit_{mode_name}_stoploss_doom",
      f"exit_{mode_name}_stoploss",
      f"exit_{mode_name}_stoploss_u_e",
    ]:
      filled_entries = trade.select_filled_orders(trade.entry_side)
      filled_exits = trade.select_filled_orders(trade.exit_side)
      has_order_tags = False
      if hasattr(filled_entries[0], "ft_order_tag"):
        has_order_tags = True
      for order in filled_exits:
        order_tag = ""
        if has_order_tags:
          if order.ft_order_tag is not None:
            sell_order_tag = order.ft_order_tag
            order_mode = sell_order_tag.split(" ", 1)
            if len(order_mode) > 0:
              order_tag = order_mode[0]
        if order_tag in ["d", "d1", "derisk_level_1", "derisk_level_2", "derisk_level_3"]:
          is_derisk = True
          break
      if not is_derisk:
        is_derisk = trade.amount < (filled_entries[0].safe_filled * 0.95)
    if previous_sell_reason in [f"exit_{mode_name}_stoploss_doom", f"exit_{mode_name}_stoploss"]:
      # return right away for system v3
      if is_system_v3 or is_system_v3_1 or is_system_v3_2:
        return True, previous_sell_reason

      is_rapid_mode = all(c in self.long_rapid_mode_tags for c in enter_tags)
      is_rebuy_mode = all(c in self.long_rebuy_mode_tags for c in enter_tags) or (
        any(c in self.long_rebuy_mode_tags for c in enter_tags)
        and all(c in (self.long_rebuy_mode_tags + self.long_grind_mode_tags) for c in enter_tags)
      )
      is_scalp_mode = all(c in self.long_scalp_mode_tags for c in enter_tags) or (
        any(c in self.long_scalp_mode_tags for c in enter_tags)
        and all(
          c in (self.long_scalp_mode_tags + self.long_rebuy_mode_tags + self.long_grind_mode_tags) for c in enter_tags
        )
      )
      if profit_init_ratio > 0.0:
        # profit is over the threshold, don't exit
        self._remove_profit_target(pair)
        return False, None
      elif is_derisk:
        self._remove_profit_target(pair)
        return False, None
      elif self.derisk_enable and (current_time - timedelta(minutes=60) > previous_time_profit_reached):
        if profit_ratio < previous_profit:
          return True, previous_sell_reason
        elif profit_ratio > previous_profit:
          self._remove_profit_target(pair)
          return False, None
      elif (
        not self.derisk_enable
        and not is_rapid_mode
        and not is_rebuy_mode
        and not is_scalp_mode
        and (
          profit_init_ratio
          <= -(self.stop_threshold_doom_futures if self.is_futures_mode else self.stop_threshold_doom_spot)
        )
      ):
        return True, previous_sell_reason
      elif (
        not self.derisk_enable
        and is_rapid_mode
        and (
          profit_init_ratio
          <= -(self.stop_threshold_rapid_futures if self.is_futures_mode else self.stop_threshold_rapid_spot)
        )
      ):
        return True, previous_sell_reason
      elif (
        not self.derisk_enable
        and is_rebuy_mode
        and (
          profit_init_ratio
          <= -(self.stop_threshold_futures_rebuy if self.is_futures_mode else self.stop_threshold_spot_rebuy)
        )
      ):
        return True, previous_sell_reason
      elif (
        not self.derisk_enable
        and is_scalp_mode
        and (
          profit_init_ratio
          <= -(self.stop_threshold_scalp_futures if self.is_futures_mode else self.stop_threshold_scalp_spot)
        )
      ):
        return True, previous_sell_reason
    elif previous_sell_reason in [f"exit_{mode_name}_stoploss_u_e"]:
      if profit_init_ratio > 0.0:
        # profit is over the threshold, don't exit
        self._remove_profit_target(pair)
        return False, None
      elif is_derisk:
        self._remove_profit_target(pair)
        return False, None
      elif profit_ratio < (previous_profit - (0.04 / trade.leverage)):
        return True, previous_sell_reason
    elif previous_sell_reason in [f"exit_profit_{mode_name}_max"]:
      if profit_init_ratio < -0.08:
        # profit is under the threshold, cancel it
        self._remove_profit_target(pair)
        return False, None
      if trade.is_short:
        is_scalp_mode = all(c in self.short_scalp_mode_tags for c in enter_tags)
        if is_scalp_mode:
          if 0.001 <= profit_init_ratio < 0.01:
            if profit_init_ratio < (previous_profit - 0.008):
              return True, f"exit_profit_{mode_name}_t_0_1"
          elif 0.01 <= profit_init_ratio < 0.02:
            if profit_init_ratio < (previous_profit - 0.01):
              return True, f"exit_profit_{mode_name}_t_1_1"
          elif 0.02 <= profit_init_ratio < 0.03:
            if profit_init_ratio < (previous_profit - 0.01):
              return True, f"exit_profit_{mode_name}_t_2_1"
          elif 0.03 <= profit_init_ratio < 0.04:
            if profit_init_ratio < (previous_profit - 0.015):
              return True, f"exit_profit_{mode_name}_t_3_1"
          elif 0.04 <= profit_init_ratio < 0.05:
            if profit_init_ratio < (previous_profit - 0.015):
              return True, f"exit_profit_{mode_name}_t_4_1"
          elif 0.05 <= profit_init_ratio < 0.06:
            if profit_init_ratio < (previous_profit - 0.015):
              return True, f"exit_profit_{mode_name}_t_5_1"
          elif 0.06 <= profit_init_ratio < 0.07:
            if profit_init_ratio < (previous_profit - 0.015):
              return True, f"exit_profit_{mode_name}_t_6_1"
          elif 0.07 <= profit_init_ratio < 0.08:
            if profit_init_ratio < (previous_profit - 0.02):
              return True, f"exit_profit_{mode_name}_t_7_1"
          elif 0.08 <= profit_init_ratio < 0.09:
            if profit_init_ratio < (previous_profit - 0.02):
              return True, f"exit_profit_{mode_name}_t_8_1"
          elif 0.09 <= profit_init_ratio < 0.10:
            if profit_init_ratio < (previous_profit - 0.02):
              return True, f"exit_profit_{mode_name}_t_9_1"
          elif 0.10 <= profit_init_ratio < 0.11:
            if profit_init_ratio < (previous_profit - 0.025):
              return True, f"exit_profit_{mode_name}_t_10_1"
          elif 0.11 <= profit_init_ratio < 0.12:
            if profit_init_ratio < (previous_profit - 0.025):
              return True, f"exit_profit_{mode_name}_t_11_1"
          elif 0.12 <= profit_init_ratio:
            if profit_init_ratio < (previous_profit - 0.025):
              return True, f"exit_profit_{mode_name}_t_12_1"
        elif 0.001 <= profit_init_ratio < 0.01:
          if (
            profit_init_ratio < (previous_profit - 0.03)
            and (last_candle["RSI_14"] > 50.0)
            and (last_candle["RSI_14"] > previous_candle_1["RSI_14"])
            and (last_candle["CMF_20"] > 0.0)
          ):
            return True, f"exit_profit_{mode_name}_t_0_1"
          elif (
            profit_init_ratio < (previous_profit - 0.03)
            and (last_candle["CMF_20"] > 0.0)
            and (last_candle["CMF_20_1h"] > 0.0)
            and (last_candle["CMF_20_4h"] > 0.0)
          ):
            return True, f"exit_profit_{mode_name}_t_0_2"
          elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] < -40.0):
            return True, f"exit_profit_{mode_name}_t_0_3"
        elif 0.01 <= profit_init_ratio < 0.02:
          if (
            profit_init_ratio < (previous_profit - 0.03)
            and (last_candle["RSI_14"] > 50.0)
            and (last_candle["RSI_14"] > previous_candle_1["RSI_14"])
            and (last_candle["CMF_20"] > 0.0)
          ):
            return True, f"exit_profit_{mode_name}_t_1_1"
          elif (
            profit_init_ratio < (previous_profit - 0.03)
            and (last_candle["CMF_20"] > 0.0)
            and (last_candle["CMF_20_1h"] > 0.0)
            and (last_candle["CMF_20_4h"] > 0.0)
          ):
            return True, f"exit_profit_{mode_name}_t_1_2"
          elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] < -40.0):
            return True, f"exit_profit_{mode_name}_t_1_3"
        elif 0.02 <= profit_init_ratio < 0.03:
          if (
            profit_init_ratio < (previous_profit - 0.03)
            and (last_candle["RSI_14"] > 50.0)
            and (last_candle["RSI_14"] > previous_candle_1["RSI_14"])
            and (last_candle["CMF_20"] > 0.0)
          ):
            return True, f"exit_profit_{mode_name}_t_2_1"
          elif (
            profit_init_ratio < (previous_profit - 0.03)
            and (last_candle["CMF_20"] > 0.0)
            and (last_candle["CMF_20_1h"] > 0.0)
            and (last_candle["CMF_20_4h"] > 0.0)
          ):
            return True, f"exit_profit_{mode_name}_t_2_2"
          elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] < -40.0):
            return True, f"exit_profit_{mode_name}_t_2_3"
        elif 0.03 <= profit_init_ratio < 0.04:
          if (
            profit_init_ratio < (previous_profit - 0.03)
            and (last_candle["RSI_14"] > 50.0)
            and (last_candle["RSI_14"] > previous_candle_1["RSI_14"])
            and (last_candle["CMF_20"] > 0.0)
          ):
            return True, f"exit_profit_{mode_name}_t_3_1"
          elif (
            profit_init_ratio < (previous_profit - 0.03)
            and (last_candle["CMF_20"] > 0.0)
            and (last_candle["CMF_20_1h"] > 0.0)
            and (last_candle["CMF_20_4h"] > 0.0)
          ):
            return True, f"exit_profit_{mode_name}_t_3_2"
          elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] < -40.0):
            return True, f"exit_profit_{mode_name}_t_3_3"
        elif 0.04 <= profit_init_ratio < 0.05:
          if (
            profit_init_ratio < (previous_profit - 0.03)
            and (last_candle["RSI_14"] > 50.0)
            and (last_candle["RSI_14"] > previous_candle_1["RSI_14"])
            and (last_candle["CMF_20"] > 0.0)
          ):
            return True, f"exit_profit_{mode_name}_t_4_1"
          elif (
            profit_init_ratio < (previous_profit - 0.03)
            and (last_candle["CMF_20"] > 0.0)
            and (last_candle["CMF_20_1h"] > 0.0)
            and (last_candle["CMF_20_4h"] > 0.0)
          ):
            return True, f"exit_profit_{mode_name}_t_4_2"
          elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] < -40.0):
            return True, f"exit_profit_{mode_name}_t_4_3"
        elif 0.05 <= profit_init_ratio < 0.06:
          if (
            profit_init_ratio < (previous_profit - 0.03)
            and (last_candle["RSI_14"] > 50.0)
            and (last_candle["RSI_14"] > previous_candle_1["RSI_14"])
            and (last_candle["CMF_20"] > 0.0)
          ):
            return True, f"exit_profit_{mode_name}_t_5_1"
          elif (
            profit_init_ratio < (previous_profit - 0.03)
            and (last_candle["CMF_20"] > 0.0)
            and (last_candle["CMF_20_1h"] > 0.0)
            and (last_candle["CMF_20_4h"] > 0.0)
          ):
            return True, f"exit_profit_{mode_name}_t_5_2"
          elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] < -40.0):
            return True, f"exit_profit_{mode_name}_t_5_3"
        elif 0.06 <= profit_init_ratio < 0.07:
          if (
            profit_init_ratio < (previous_profit - 0.03)
            and (last_candle["RSI_14"] > 50.0)
            and (last_candle["RSI_14"] > previous_candle_1["RSI_14"])
            and (last_candle["CMF_20"] > 0.0)
          ):
            return True, f"exit_profit_{mode_name}_t_6_1"
          elif (
            profit_init_ratio < (previous_profit - 0.03)
            and (last_candle["CMF_20"] > 0.0)
            and (last_candle["CMF_20_1h"] > 0.0)
            and (last_candle["CMF_20_4h"] > 0.0)
          ):
            return True, f"exit_profit_{mode_name}_t_6_2"
          elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] < -40.0):
            return True, f"exit_profit_{mode_name}_t_6_3"
        elif 0.07 <= profit_init_ratio < 0.08:
          if (
            profit_init_ratio < (previous_profit - 0.03)
            and (last_candle["RSI_14"] > 50.0)
            and (last_candle["RSI_14"] > previous_candle_1["RSI_14"])
            and (last_candle["CMF_20"] > 0.0)
          ):
            return True, f"exit_profit_{mode_name}_t_7_1"
          elif (
            profit_init_ratio < (previous_profit - 0.03)
            and (last_candle["CMF_20"] > 0.0)
            and (last_candle["CMF_20_1h"] > 0.0)
            and (last_candle["CMF_20_4h"] > 0.0)
          ):
            return True, f"exit_profit_{mode_name}_t_7_2"
          elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] < -40.0):
            return True, f"exit_profit_{mode_name}_t_7_3"
        elif 0.08 <= profit_init_ratio < 0.09:
          if (
            profit_init_ratio < (previous_profit - 0.03)
            and (last_candle["RSI_14"] > 50.0)
            and (last_candle["RSI_14"] > previous_candle_1["RSI_14"])
            and (last_candle["CMF_20"] > 0.0)
          ):
            return True, f"exit_profit_{mode_name}_t_8_1"
          elif (
            profit_init_ratio < (previous_profit - 0.03)
            and (last_candle["CMF_20"] > 0.0)
            and (last_candle["CMF_20_1h"] > 0.0)
            and (last_candle["CMF_20_4h"] > 0.0)
          ):
            return True, f"exit_profit_{mode_name}_t_8_2"
          elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] < -40.0):
            return True, f"exit_profit_{mode_name}_t_8_3"
        elif 0.09 <= profit_init_ratio < 0.10:
          if (
            profit_init_ratio < (previous_profit - 0.03)
            and (last_candle["RSI_14"] > 50.0)
            and (last_candle["RSI_14"] > previous_candle_1["RSI_14"])
            and (last_candle["CMF_20"] > 0.0)
          ):
            return True, f"exit_profit_{mode_name}_t_9_1"
          elif (
            profit_init_ratio < (previous_profit - 0.03)
            and (last_candle["CMF_20"] > 0.0)
            and (last_candle["CMF_20_1h"] > 0.0)
            and (last_candle["CMF_20_4h"] > 0.0)
          ):
            return True, f"exit_profit_{mode_name}_t_9_2"
          elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] < -40.0):
            return True, f"exit_profit_{mode_name}_t_9_3"
        elif 0.10 <= profit_init_ratio < 0.11:
          if (
            profit_init_ratio < (previous_profit - 0.03)
            and (last_candle["RSI_14"] > 50.0)
            and (last_candle["RSI_14"] > previous_candle_1["RSI_14"])
            and (last_candle["CMF_20"] > 0.0)
          ):
            return True, f"exit_profit_{mode_name}_t_10_1"
          elif (
            profit_init_ratio < (previous_profit - 0.03)
            and (last_candle["CMF_20"] > 0.0)
            and (last_candle["CMF_20_1h"] > 0.0)
            and (last_candle["CMF_20_4h"] > 0.0)
          ):
            return True, f"exit_profit_{mode_name}_t_10_2"
          elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] < -40.0):
            return True, f"exit_profit_{mode_name}_t_10_3"
        elif 0.11 <= profit_init_ratio < 0.12:
          if (
            profit_init_ratio < (previous_profit - 0.03)
            and (last_candle["RSI_14"] > 50.0)
            and (last_candle["RSI_14"] > previous_candle_1["RSI_14"])
            and (last_candle["CMF_20"] > 0.0)
          ):
            return True, f"exit_profit_{mode_name}_t_11_1"
          elif (
            profit_init_ratio < (previous_profit - 0.03)
            and (last_candle["CMF_20"] > 0.0)
            and (last_candle["CMF_20_1h"] > 0.0)
            and (last_candle["CMF_20_4h"] > 0.0)
          ):
            return True, f"exit_profit_{mode_name}_t_11_2"
          elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] < -40.0):
            return True, f"exit_profit_{mode_name}_t_11_3"
        elif 0.12 <= profit_init_ratio:
          if (
            profit_init_ratio < (previous_profit - 0.03)
            and (last_candle["RSI_14"] > 50.0)
            and (last_candle["RSI_14"] > previous_candle_1["RSI_14"])
            and (last_candle["CMF_20"] > 0.0)
          ):
            return True, f"exit_profit_{mode_name}_t_12_1"
          elif (
            profit_init_ratio < (previous_profit - 0.03)
            and (last_candle["CMF_20"] > 0.0)
            and (last_candle["CMF_20_1h"] > 0.0)
            and (last_candle["CMF_20_4h"] > 0.0)
          ):
            return True, f"exit_profit_{mode_name}_t_12_2"
          elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] < -40.0):
            return True, f"exit_profit_{mode_name}_t_12_3"
      else:
        is_scalp_mode = all(c in self.long_scalp_mode_tags for c in enter_tags)
        if is_scalp_mode:
          if 0.001 <= profit_init_ratio < 0.01:
            if profit_init_ratio < (previous_profit - 0.008):
              return True, f"exit_profit_{mode_name}_t_0_1"
          elif 0.01 <= profit_init_ratio < 0.02:
            if profit_init_ratio < (previous_profit - 0.01):
              return True, f"exit_profit_{mode_name}_t_1_1"
          elif 0.02 <= profit_init_ratio < 0.03:
            if profit_init_ratio < (previous_profit - 0.01):
              return True, f"exit_profit_{mode_name}_t_2_1"
          elif 0.03 <= profit_init_ratio < 0.04:
            if profit_init_ratio < (previous_profit - 0.015):
              return True, f"exit_profit_{mode_name}_t_3_1"
          elif 0.04 <= profit_init_ratio < 0.05:
            if profit_init_ratio < (previous_profit - 0.015):
              return True, f"exit_profit_{mode_name}_t_4_1"
          elif 0.05 <= profit_init_ratio < 0.06:
            if profit_init_ratio < (previous_profit - 0.015):
              return True, f"exit_profit_{mode_name}_t_5_1"
          elif 0.06 <= profit_init_ratio < 0.07:
            if profit_init_ratio < (previous_profit - 0.015):
              return True, f"exit_profit_{mode_name}_t_6_1"
          elif 0.07 <= profit_init_ratio < 0.08:
            if profit_init_ratio < (previous_profit - 0.02):
              return True, f"exit_profit_{mode_name}_t_7_1"
          elif 0.08 <= profit_init_ratio < 0.09:
            if profit_init_ratio < (previous_profit - 0.02):
              return True, f"exit_profit_{mode_name}_t_8_1"
          elif 0.09 <= profit_init_ratio < 0.10:
            if profit_init_ratio < (previous_profit - 0.02):
              return True, f"exit_profit_{mode_name}_t_9_1"
          elif 0.10 <= profit_init_ratio < 0.11:
            if profit_init_ratio < (previous_profit - 0.025):
              return True, f"exit_profit_{mode_name}_t_10_1"
          elif 0.11 <= profit_init_ratio < 0.12:
            if profit_init_ratio < (previous_profit - 0.025):
              return True, f"exit_profit_{mode_name}_t_11_1"
          elif 0.12 <= profit_init_ratio:
            if profit_init_ratio < (previous_profit - 0.025):
              return True, f"exit_profit_{mode_name}_t_12_1"
        else:
          if 0.001 <= profit_init_ratio < 0.01:
            if (
              profit_init_ratio < (previous_profit - 0.03)
              and (last_candle["RSI_14"] < 50.0)
              and (last_candle["RSI_14"] < previous_candle_1["RSI_14"])
              and (last_candle["CMF_20"] < -0.0)
            ):
              return True, f"exit_profit_{mode_name}_t_0_1"
            elif (
              profit_init_ratio < (previous_profit - 0.03)
              and (last_candle["CMF_20"] < -0.0)
              and (last_candle["CMF_20_1h"] < -0.0)
              and (last_candle["CMF_20_4h"] < -0.0)
            ):
              return True, f"exit_profit_{mode_name}_t_0_2"
            elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] > 40.0):
              return True, f"exit_profit_{mode_name}_t_0_3"
          elif 0.01 <= profit_init_ratio < 0.02:
            if (
              profit_init_ratio < (previous_profit - 0.03)
              and (last_candle["RSI_14"] < 50.0)
              and (last_candle["RSI_14"] < previous_candle_1["RSI_14"])
              and (last_candle["CMF_20"] < -0.0)
            ):
              return True, f"exit_profit_{mode_name}_t_1_1"
            elif (
              profit_init_ratio < (previous_profit - 0.03)
              and (last_candle["CMF_20"] < -0.0)
              and (last_candle["CMF_20_1h"] < -0.0)
              and (last_candle["CMF_20_4h"] < -0.0)
            ):
              return True, f"exit_profit_{mode_name}_t_1_2"
            elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] > 40.0):
              return True, f"exit_profit_{mode_name}_t_1_3"
          elif 0.02 <= profit_init_ratio < 0.03:
            if (
              profit_init_ratio < (previous_profit - 0.03)
              and (last_candle["RSI_14"] < 50.0)
              and (last_candle["RSI_14"] < previous_candle_1["RSI_14"])
              and (last_candle["CMF_20"] < -0.0)
            ):
              return True, f"exit_profit_{mode_name}_t_2_1"
            elif (
              profit_init_ratio < (previous_profit - 0.03)
              and (last_candle["CMF_20"] < -0.0)
              and (last_candle["CMF_20_1h"] < -0.0)
              and (last_candle["CMF_20_4h"] < -0.0)
            ):
              return True, f"exit_profit_{mode_name}_t_2_2"
            elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] > 40.0):
              return True, f"exit_profit_{mode_name}_t_2_3"
          elif 0.03 <= profit_init_ratio < 0.04:
            if (
              profit_init_ratio < (previous_profit - 0.03)
              and (last_candle["RSI_14"] < 50.0)
              and (last_candle["RSI_14"] < previous_candle_1["RSI_14"])
              and (last_candle["CMF_20"] < -0.0)
            ):
              return True, f"exit_profit_{mode_name}_t_3_1"
            elif (
              profit_init_ratio < (previous_profit - 0.03)
              and (last_candle["CMF_20"] < -0.0)
              and (last_candle["CMF_20_1h"] < -0.0)
              and (last_candle["CMF_20_4h"] < -0.0)
            ):
              return True, f"exit_profit_{mode_name}_t_3_2"
            elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] > 40.0):
              return True, f"exit_profit_{mode_name}_t_3_3"
          elif 0.04 <= profit_init_ratio < 0.05:
            if (
              profit_init_ratio < (previous_profit - 0.03)
              and (last_candle["RSI_14"] < 50.0)
              and (last_candle["RSI_14"] < previous_candle_1["RSI_14"])
              and (last_candle["CMF_20"] < -0.0)
            ):
              return True, f"exit_profit_{mode_name}_t_4_1"
            elif (
              profit_init_ratio < (previous_profit - 0.03)
              and (last_candle["CMF_20"] < -0.0)
              and (last_candle["CMF_20_1h"] < -0.0)
              and (last_candle["CMF_20_4h"] < -0.0)
            ):
              return True, f"exit_profit_{mode_name}_t_4_2"
            elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] > 40.0):
              return True, f"exit_profit_{mode_name}_t_4_3"
          elif 0.05 <= profit_init_ratio < 0.06:
            if (
              profit_init_ratio < (previous_profit - 0.03)
              and (last_candle["RSI_14"] < 50.0)
              and (last_candle["RSI_14"] < previous_candle_1["RSI_14"])
              and (last_candle["CMF_20"] < -0.0)
            ):
              return True, f"exit_profit_{mode_name}_t_5_1"
            elif (
              profit_init_ratio < (previous_profit - 0.03)
              and (last_candle["CMF_20"] < -0.0)
              and (last_candle["CMF_20_1h"] < -0.0)
              and (last_candle["CMF_20_4h"] < -0.0)
            ):
              return True, f"exit_profit_{mode_name}_t_5_2"
            elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] > 40.0):
              return True, f"exit_profit_{mode_name}_t_5_3"
          elif 0.06 <= profit_init_ratio < 0.07:
            if (
              profit_init_ratio < (previous_profit - 0.03)
              and (last_candle["RSI_14"] < 50.0)
              and (last_candle["RSI_14"] < previous_candle_1["RSI_14"])
              and (last_candle["CMF_20"] < -0.0)
            ):
              return True, f"exit_profit_{mode_name}_t_6_1"
            elif (
              profit_init_ratio < (previous_profit - 0.03)
              and (last_candle["CMF_20"] < -0.0)
              and (last_candle["CMF_20_1h"] < -0.0)
              and (last_candle["CMF_20_4h"] < -0.0)
            ):
              return True, f"exit_profit_{mode_name}_t_6_2"
            elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] > 40.0):
              return True, f"exit_profit_{mode_name}_t_6_3"
          elif 0.07 <= profit_init_ratio < 0.08:
            if (
              profit_init_ratio < (previous_profit - 0.03)
              and (last_candle["RSI_14"] < 50.0)
              and (last_candle["RSI_14"] < previous_candle_1["RSI_14"])
              and (last_candle["CMF_20"] < -0.0)
            ):
              return True, f"exit_profit_{mode_name}_t_7_1"
            elif (
              profit_init_ratio < (previous_profit - 0.03)
              and (last_candle["CMF_20"] < -0.0)
              and (last_candle["CMF_20_1h"] < -0.0)
              and (last_candle["CMF_20_4h"] < -0.0)
            ):
              return True, f"exit_profit_{mode_name}_t_7_2"
            elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] > 40.0):
              return True, f"exit_profit_{mode_name}_t_7_3"
          elif 0.08 <= profit_init_ratio < 0.09:
            if (
              profit_init_ratio < (previous_profit - 0.03)
              and (last_candle["RSI_14"] < 50.0)
              and (last_candle["RSI_14"] < previous_candle_1["RSI_14"])
              and (last_candle["CMF_20"] < -0.0)
            ):
              return True, f"exit_profit_{mode_name}_t_8_1"
            elif (
              profit_init_ratio < (previous_profit - 0.03)
              and (last_candle["CMF_20"] < -0.0)
              and (last_candle["CMF_20_1h"] < -0.0)
              and (last_candle["CMF_20_4h"] < -0.0)
            ):
              return True, f"exit_profit_{mode_name}_t_8_2"
            elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] > 40.0):
              return True, f"exit_profit_{mode_name}_t_8_3"
          elif 0.09 <= profit_init_ratio < 0.10:
            if (
              profit_init_ratio < (previous_profit - 0.03)
              and (last_candle["RSI_14"] < 50.0)
              and (last_candle["RSI_14"] < previous_candle_1["RSI_14"])
              and (last_candle["CMF_20"] < -0.0)
            ):
              return True, f"exit_profit_{mode_name}_t_9_1"
            elif (
              profit_init_ratio < (previous_profit - 0.03)
              and (last_candle["CMF_20"] < -0.0)
              and (last_candle["CMF_20_1h"] < -0.0)
              and (last_candle["CMF_20_4h"] < -0.0)
            ):
              return True, f"exit_profit_{mode_name}_t_9_2"
            elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] > 40.0):
              return True, f"exit_profit_{mode_name}_t_9_3"
          elif 0.10 <= profit_init_ratio < 0.11:
            if (
              profit_init_ratio < (previous_profit - 0.03)
              and (last_candle["RSI_14"] < 50.0)
              and (last_candle["RSI_14"] < previous_candle_1["RSI_14"])
              and (last_candle["CMF_20"] < -0.0)
            ):
              return True, f"exit_profit_{mode_name}_t_10_1"
            elif (
              profit_init_ratio < (previous_profit - 0.03)
              and (last_candle["CMF_20"] < -0.0)
              and (last_candle["CMF_20_1h"] < -0.0)
              and (last_candle["CMF_20_4h"] < -0.0)
            ):
              return True, f"exit_profit_{mode_name}_t_10_2"
            elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] > 40.0):
              return True, f"exit_profit_{mode_name}_t_10_3"
          elif 0.11 <= profit_init_ratio < 0.12:
            if (
              profit_init_ratio < (previous_profit - 0.03)
              and (last_candle["RSI_14"] < 50.0)
              and (last_candle["RSI_14"] < previous_candle_1["RSI_14"])
              and (last_candle["CMF_20"] < -0.0)
            ):
              return True, f"exit_profit_{mode_name}_t_11_1"
            elif (
              profit_init_ratio < (previous_profit - 0.03)
              and (last_candle["CMF_20"] < -0.0)
              and (last_candle["CMF_20_1h"] < -0.0)
              and (last_candle["CMF_20_4h"] < -0.0)
            ):
              return True, f"exit_profit_{mode_name}_t_11_2"
            elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] > 40.0):
              return True, f"exit_profit_{mode_name}_t_11_3"
          elif 0.12 <= profit_init_ratio:
            if (
              profit_init_ratio < (previous_profit - 0.03)
              and (last_candle["RSI_14"] < 50.0)
              and (last_candle["RSI_14"] < previous_candle_1["RSI_14"])
              and (last_candle["CMF_20"] < -0.0)
            ):
              return True, f"exit_profit_{mode_name}_t_12_1"
            elif (
              profit_init_ratio < (previous_profit - 0.03)
              and (last_candle["CMF_20"] < -0.0)
              and (last_candle["CMF_20_1h"] < -0.0)
              and (last_candle["CMF_20_4h"] < -0.0)
            ):
              return True, f"exit_profit_{mode_name}_t_12_2"
            elif profit_init_ratio < (previous_profit - 0.05) and (last_candle["ROC_9_4h"] > 40.0):
              return True, f"exit_profit_{mode_name}_t_12_3"
    else:
      return False, None

    return False, None

  # Calc Total Profit
  # ---------------------------------------------------------------------------------------------
  def calc_total_profit(
    self, trade: "Trade", filled_entries: "Orders", filled_exits: "Orders", exit_rate: float
  ) -> tuple:
    """
    Calculates the absolute profit for open trades.

    :param trade: trade object.
    :param filled_entries: Filled entries list.
    :param filled_exits: Filled exits list.
    :param exit_rate: The exit rate.
    :return tuple: The total profit in stake, ratio, ratio based on current stake, and ratio based on the first entry stake.
    """
    fee_open_rate = trade.fee_open if self.custom_fee_open_rate is None else self.custom_fee_open_rate
    fee_close_rate = trade.fee_close if self.custom_fee_close_rate is None else self.custom_fee_close_rate

    total_amount = 0.0
    total_stake = 0.0
    total_profit = 0.0
    current_stake = 0.0
    for entry_order in filled_entries:
      if trade.is_short:
        entry_stake = entry_order.safe_filled * entry_order.safe_price * (1 - fee_open_rate)
        total_amount += entry_order.safe_filled
        total_stake += entry_stake
        total_profit += entry_stake
      else:
        entry_stake = entry_order.safe_filled * entry_order.safe_price * (1 + fee_open_rate)
        total_amount += entry_order.safe_filled
        total_stake += entry_stake
        total_profit -= entry_stake
    for exit_order in filled_exits:
      if trade.is_short:
        exit_stake = exit_order.safe_filled * exit_order.safe_price * (1 + fee_close_rate)
        total_amount -= exit_order.safe_filled
        total_profit -= exit_stake
      else:
        exit_stake = exit_order.safe_filled * exit_order.safe_price * (1 - fee_close_rate)
        total_amount -= exit_order.safe_filled
        total_profit += exit_stake
    if trade.is_short:
      current_stake = total_amount * exit_rate * (1 + fee_close_rate)
      total_profit -= current_stake
    else:
      current_stake = total_amount * exit_rate * (1 - fee_close_rate)
      total_profit += current_stake
    if self.is_futures_mode:
      total_profit += trade.funding_fees
    total_profit_ratio = total_profit / total_stake
    current_profit_ratio = total_profit / current_stake
    init_profit_ratio = total_profit / filled_entries[0].cost
    return total_profit, total_profit_ratio, current_profit_ratio, init_profit_ratio

  # Custom Exit
  # ---------------------------------------------------------------------------------------------
  def custom_exit(
    self, pair: str, trade: "Trade", current_time: "datetime", current_rate: float, current_profit: float, **kwargs
  ):
    df, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe)
    if len(df) < 6:
      return None
    last_candle = df.iloc[-1].squeeze()
    previous_candle_1 = df.iloc[-2].squeeze()
    previous_candle_2 = df.iloc[-3].squeeze()
    previous_candle_3 = df.iloc[-4].squeeze()
    previous_candle_4 = df.iloc[-5].squeeze()
    previous_candle_5 = df.iloc[-6].squeeze()

    enter_tag = "empty"
    if hasattr(trade, "enter_tag") and trade.enter_tag is not None:
      enter_tag = trade.enter_tag
    enter_tags = enter_tag.split()

    filled_entries = trade.select_filled_orders(trade.entry_side)
    filled_exits = trade.select_filled_orders(trade.exit_side)

    profit_stake = 0.0
    profit_ratio = 0.0
    profit_current_stake_ratio = 0.0
    profit_init_ratio = 0.0
    profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio = self.calc_total_profit(
      trade, filled_entries, filled_exits, current_rate
    )

    max_profit = 0.0
    max_loss = 0.0

    # Long Normal mode
    if any(c in self.long_normal_mode_tags for c in enter_tags):
      sell, signal_name = self.long_exit_normal(
        pair,
        current_rate,
        profit_stake,
        profit_ratio,
        profit_current_stake_ratio,
        profit_init_ratio,
        max_profit,
        max_loss,
        filled_entries,
        filled_exits,
        last_candle,
        previous_candle_1,
        previous_candle_2,
        previous_candle_3,
        previous_candle_4,
        previous_candle_5,
        trade,
        current_time,
        enter_tags,
      )
      if sell and (signal_name is not None):
        return f"{signal_name} ( {enter_tag})"

    # Long Pump mode
    if any(c in self.long_pump_mode_tags for c in enter_tags):
      sell, signal_name = self.long_exit_pump(
        pair,
        current_rate,
        profit_stake,
        profit_ratio,
        profit_current_stake_ratio,
        profit_init_ratio,
        max_profit,
        max_loss,
        filled_entries,
        filled_exits,
        last_candle,
        previous_candle_1,
        previous_candle_2,
        previous_candle_3,
        previous_candle_4,
        previous_candle_5,
        trade,
        current_time,
        enter_tags,
      )
      if sell and (signal_name is not None):
        return f"{signal_name} ( {enter_tag})"

    # Long Quick mode
    if any(c in self.long_quick_mode_tags for c in enter_tags):
      sell, signal_name = self.long_exit_quick(
        pair,
        current_rate,
        profit_stake,
        profit_ratio,
        profit_current_stake_ratio,
        profit_init_ratio,
        max_profit,
        max_loss,
        filled_entries,
        filled_exits,
        last_candle,
        previous_candle_1,
        previous_candle_2,
        previous_candle_3,
        previous_candle_4,
        previous_candle_5,
        trade,
        current_time,
        enter_tags,
      )
      if sell and (signal_name is not None):
        return f"{signal_name} ( {enter_tag})"

    # Long Rebuy mode
    if all(c in self.long_rebuy_mode_tags for c in enter_tags) or (
      any(c in self.long_rebuy_mode_tags for c in enter_tags)
      and all(c in (self.long_rebuy_mode_tags + self.long_grind_mode_tags) for c in enter_tags)
    ):
      sell, signal_name = self.long_exit_rebuy(
        pair,
        current_rate,
        profit_stake,
        profit_ratio,
        profit_current_stake_ratio,
        profit_init_ratio,
        max_profit,
        max_loss,
        filled_entries,
        filled_exits,
        last_candle,
        previous_candle_1,
        previous_candle_2,
        previous_candle_3,
        previous_candle_4,
        previous_candle_5,
        trade,
        current_time,
        enter_tags,
      )
      if sell and (signal_name is not None):
        return f"{signal_name} ( {enter_tag})"

    # Long high profit mode
    if any(c in self.long_high_profit_mode_tags for c in enter_tags):
      sell, signal_name = self.long_exit_high_profit(
        pair,
        current_rate,
        profit_stake,
        profit_ratio,
        profit_current_stake_ratio,
        profit_init_ratio,
        max_profit,
        max_loss,
        filled_entries,
        filled_exits,
        last_candle,
        previous_candle_1,
        previous_candle_2,
        previous_candle_3,
        previous_candle_4,
        previous_candle_5,
        trade,
        current_time,
        enter_tags,
      )
      if sell and (signal_name is not None):
        return f"{signal_name} ( {enter_tag})"

    # Long rapid mode
    if all(c in self.long_rapid_mode_tags for c in enter_tags) or (
      any(c in self.long_rapid_mode_tags for c in enter_tags)
      and all(
        c
        in (
          self.long_rapid_mode_tags + self.long_rebuy_mode_tags + self.long_grind_mode_tags + self.long_scalp_mode_tags
        )
        for c in enter_tags
      )
    ):
      sell, signal_name = self.long_exit_rapid(
        pair,
        current_rate,
        profit_stake,
        profit_ratio,
        profit_current_stake_ratio,
        profit_init_ratio,
        max_profit,
        max_loss,
        filled_entries,
        filled_exits,
        last_candle,
        previous_candle_1,
        previous_candle_2,
        previous_candle_3,
        previous_candle_4,
        previous_candle_5,
        trade,
        current_time,
        enter_tags,
      )
      if sell and (signal_name is not None):
        return f"{signal_name} ( {enter_tag})"

    # Long grind mode
    if all(c in self.long_grind_mode_tags for c in enter_tags):
      sell, signal_name = self.long_exit_grind(
        pair,
        current_rate,
        profit_stake,
        profit_ratio,
        profit_current_stake_ratio,
        profit_init_ratio,
        max_profit,
        max_loss,
        filled_entries,
        filled_exits,
        last_candle,
        previous_candle_1,
        previous_candle_2,
        previous_candle_3,
        previous_candle_4,
        previous_candle_5,
        trade,
        current_time,
        enter_tags,
      )
      if sell and (signal_name is not None):
        return f"{signal_name} ( {enter_tag})"

    # Long btc mode
    if all(c in self.long_btc_mode_tags for c in enter_tags):
      sell, signal_name = self.long_exit_btc(
        pair,
        current_rate,
        profit_stake,
        profit_ratio,
        profit_current_stake_ratio,
        profit_init_ratio,
        max_profit,
        max_loss,
        filled_entries,
        filled_exits,
        last_candle,
        previous_candle_1,
        previous_candle_2,
        previous_candle_3,
        previous_candle_4,
        previous_candle_5,
        trade,
        current_time,
        enter_tags,
      )
      if sell and (signal_name is not None):
        return f"{signal_name} ( {enter_tag})"

    # Long Top Coins mode
    if any(c in self.long_top_coins_mode_tags for c in enter_tags):
      sell, signal_name = self.long_exit_top_coins(
        pair,
        current_rate,
        profit_stake,
        profit_ratio,
        profit_current_stake_ratio,
        profit_init_ratio,
        max_profit,
        max_loss,
        filled_entries,
        filled_exits,
        last_candle,
        previous_candle_1,
        previous_candle_2,
        previous_candle_3,
        previous_candle_4,
        previous_candle_5,
        trade,
        current_time,
        enter_tags,
      )
      if sell and (signal_name is not None):
        return f"{signal_name} ( {enter_tag})"

    # Long scalp mode
    if all(c in self.long_scalp_mode_tags for c in enter_tags) or (
      any(c in self.long_scalp_mode_tags for c in enter_tags)
      and all(
        c in (self.long_scalp_mode_tags + self.long_rebuy_mode_tags + self.long_grind_mode_tags) for c in enter_tags
      )
    ):
      sell, signal_name = self.long_exit_scalp(
        pair,
        current_rate,
        profit_stake,
        profit_ratio,
        profit_current_stake_ratio,
        profit_init_ratio,
        max_profit,
        max_loss,
        filled_entries,
        filled_exits,
        last_candle,
        previous_candle_1,
        previous_candle_2,
        previous_candle_3,
        previous_candle_4,
        previous_candle_5,
        trade,
        current_time,
        enter_tags,
      )
      if sell and (signal_name is not None):
        return f"{signal_name} ( {enter_tag})"

    # Short normal mode
    if any(c in self.short_normal_mode_tags for c in enter_tags):
      sell, signal_name = self.short_exit_normal(
        pair,
        current_rate,
        profit_stake,
        profit_ratio,
        profit_current_stake_ratio,
        profit_init_ratio,
        max_profit,
        max_loss,
        filled_entries,
        filled_exits,
        last_candle,
        previous_candle_1,
        previous_candle_2,
        previous_candle_3,
        previous_candle_4,
        previous_candle_5,
        trade,
        current_time,
        enter_tags,
      )
      if sell and (signal_name is not None):
        return f"{signal_name} ( {enter_tag})"

    # Short Pump mode
    if any(c in self.short_pump_mode_tags for c in enter_tags):
      sell, signal_name = self.short_exit_pump(
        pair,
        current_rate,
        profit_stake,
        profit_ratio,
        profit_current_stake_ratio,
        profit_init_ratio,
        max_profit,
        max_loss,
        filled_entries,
        filled_exits,
        last_candle,
        previous_candle_1,
        previous_candle_2,
        previous_candle_3,
        previous_candle_4,
        previous_candle_5,
        trade,
        current_time,
        enter_tags,
      )
      if sell and (signal_name is not None):
        return f"{signal_name} ( {enter_tag})"

    # Short Quick mode
    if any(c in self.short_quick_mode_tags for c in enter_tags):
      sell, signal_name = self.short_exit_quick(
        pair,
        current_rate,
        profit_stake,
        profit_ratio,
        profit_current_stake_ratio,
        profit_init_ratio,
        max_profit,
        max_loss,
        filled_entries,
        filled_exits,
        last_candle,
        previous_candle_1,
        previous_candle_2,
        previous_candle_3,
        previous_candle_4,
        previous_candle_5,
        trade,
        current_time,
        enter_tags,
      )
      if sell and (signal_name is not None):
        return f"{signal_name} ( {enter_tag})"

    # Short Rebuy mode
    if all(c in self.short_rebuy_mode_tags for c in enter_tags):
      sell, signal_name = self.short_exit_rebuy(
        pair,
        current_rate,
        profit_stake,
        profit_ratio,
        profit_current_stake_ratio,
        profit_init_ratio,
        max_profit,
        max_loss,
        filled_entries,
        filled_exits,
        last_candle,
        previous_candle_1,
        previous_candle_2,
        previous_candle_3,
        previous_candle_4,
        previous_candle_5,
        trade,
        current_time,
        enter_tags,
      )
      if sell and (signal_name is not None):
        return f"{signal_name} ( {enter_tag})"

    # Short high profit mode
    if any(c in self.short_high_profit_mode_tags for c in enter_tags):
      sell, signal_name = self.short_exit_high_profit(
        pair,
        current_rate,
        profit_stake,
        profit_ratio,
        profit_current_stake_ratio,
        profit_init_ratio,
        max_profit,
        max_loss,
        filled_entries,
        filled_exits,
        last_candle,
        previous_candle_1,
        previous_candle_2,
        previous_candle_3,
        previous_candle_4,
        previous_candle_5,
        trade,
        current_time,
        enter_tags,
      )
      if sell and (signal_name is not None):
        return f"{signal_name} ( {enter_tag})"

    # Short rapid mode
    if any(c in self.short_rapid_mode_tags for c in enter_tags):
      sell, signal_name = self.short_exit_rapid(
        pair,
        current_rate,
        profit_stake,
        profit_ratio,
        profit_current_stake_ratio,
        profit_init_ratio,
        max_profit,
        max_loss,
        filled_entries,
        filled_exits,
        last_candle,
        previous_candle_1,
        previous_candle_2,
        previous_candle_3,
        previous_candle_4,
        previous_candle_5,
        trade,
        current_time,
        enter_tags,
      )
      if sell and (signal_name is not None):
        return f"{signal_name} ( {enter_tag})"

    # Short scalp mode
    if all(c in self.short_scalp_mode_tags for c in enter_tags) or (
      any(c in self.short_scalp_mode_tags for c in enter_tags)
      and all(
        c in (self.short_scalp_mode_tags + self.short_rebuy_mode_tags + self.short_grind_mode_tags) for c in enter_tags
      )
    ):
      sell, signal_name = self.short_exit_scalp(
        pair,
        current_rate,
        profit_stake,
        profit_ratio,
        profit_current_stake_ratio,
        profit_init_ratio,
        max_profit,
        max_loss,
        filled_entries,
        filled_exits,
        last_candle,
        previous_candle_1,
        previous_candle_2,
        previous_candle_3,
        previous_candle_4,
        previous_candle_5,
        trade,
        current_time,
        enter_tags,
      )
      if sell and (signal_name is not None):
        return f"{signal_name} ( {enter_tag})"

    # Trades not opened by X7
    if not trade.is_short and (
      not any(
        c
        in (
          self.long_normal_mode_tags
          + self.long_pump_mode_tags
          + self.long_quick_mode_tags
          + self.long_rebuy_mode_tags
          + self.long_high_profit_mode_tags
          + self.long_rapid_mode_tags
          + self.long_grind_mode_tags
          + self.long_btc_mode_tags
          + self.long_top_coins_mode_tags
          + self.long_scalp_mode_tags
        )
        for c in enter_tags
      )
    ):
      # use normal mode for such trades
      sell, signal_name = self.long_exit_normal(
        pair,
        current_rate,
        profit_stake,
        profit_ratio,
        profit_current_stake_ratio,
        profit_init_ratio,
        max_profit,
        max_loss,
        filled_entries,
        filled_exits,
        last_candle,
        previous_candle_1,
        previous_candle_2,
        previous_candle_3,
        previous_candle_4,
        previous_candle_5,
        trade,
        current_time,
        enter_tags,
      )
      if sell and (signal_name is not None):
        return f"{signal_name} ( {enter_tag})"

    # Trades not opened by X7
    if trade.is_short and (
      not any(
        c
        in (
          self.short_normal_mode_tags
          + self.short_pump_mode_tags
          + self.short_quick_mode_tags
          + self.short_rebuy_mode_tags
          + self.short_high_profit_mode_tags
          + self.short_rapid_mode_tags
          + self.short_grind_mode_tags
          + self.short_scalp_mode_tags
        )
        for c in enter_tags
      )
    ):
      # use normal mode for such trades
      sell, signal_name = self.short_exit_normal(
        pair,
        current_rate,
        profit_stake,
        profit_ratio,
        profit_current_stake_ratio,
        profit_init_ratio,
        max_profit,
        max_loss,
        filled_entries,
        filled_exits,
        last_candle,
        previous_candle_1,
        previous_candle_2,
        previous_candle_3,
        previous_candle_4,
        previous_candle_5,
        trade,
        current_time,
        enter_tags,
      )
      if sell and (signal_name is not None):
        return f"{signal_name} ( {enter_tag})"

    return None

  # Custom Stake Amount
  # ---------------------------------------------------------------------------------------------
  def custom_stake_amount(
    self,
    pair: str,
    current_time: datetime,
    current_rate: float,
    proposed_stake: float,
    min_stake: Optional[float],
    max_stake: float,
    leverage: float,
    entry_tag: Optional[str],
    side: str,
    **kwargs,
  ) -> float:
    enter_tags = entry_tag.split()
    if side == "long":
      # Rebuy mode
      if all(c in self.long_rebuy_mode_tags for c in enter_tags) or (
        any(c in self.long_rebuy_mode_tags for c in enter_tags)
        and all(c in (self.long_rebuy_mode_tags + self.long_grind_mode_tags) for c in enter_tags)
      ):
        stake_multiplier = self.system_v3_rebuy_mode_stake_multiplier
        stake = proposed_stake * stake_multiplier
        if stake > min_stake:
          return stake
        else:
          return min_stake
      # Rapid mode
      if (self.system_name_use == self.system_v3_name) and (
        all(c in self.long_rapid_mode_tags for c in enter_tags)
        or (
          any(c in self.long_rapid_mode_tags for c in enter_tags)
          and all(
            c in (self.long_rapid_mode_tags + self.long_rebuy_mode_tags + self.long_grind_mode_tags)
            for c in enter_tags
          )
        )
      ):
        stake_multiplier = (
          self.rapid_mode_stake_multiplier_futures[0]
          if self.is_futures_mode
          else self.rapid_mode_stake_multiplier_spot[0]
        )
        if (proposed_stake * stake_multiplier) > min_stake:
          return proposed_stake * stake_multiplier
        else:
          return min_stake
      # Grind mode
      elif all(c in self.long_grind_mode_tags for c in enter_tags):
        for _, item in enumerate(
          self.grind_mode_stake_multiplier_futures if self.is_futures_mode else self.grind_mode_stake_multiplier_spot
        ):
          if (proposed_stake * item) > min_stake:
            stake_multiplier = item
            return proposed_stake * stake_multiplier
      # Btc mode
      elif all(c in self.long_btc_mode_tags for c in enter_tags):
        stake_multiplier = (
          self.grind_mode_stake_multiplier_futures[0]
          if self.is_futures_mode
          else self.grind_mode_stake_multiplier_spot[0]
        )
        return proposed_stake * stake_multiplier
      else:
        if self.system_name_use == self.system_v3_2_name:
          stake_multiplier = self.system_v3_2_stake_multiplier
          if (proposed_stake * stake_multiplier) > min_stake:
            return proposed_stake * stake_multiplier
          else:
            return min_stake
        elif self.system_name_use == self.system_v3_1_name:
          stake_multiplier = self.system_v3_1_stake_multiplier
          if (proposed_stake * stake_multiplier) > min_stake:
            return proposed_stake * stake_multiplier
          else:
            return min_stake
        else:
          stake_multiplier = (
            self.regular_mode_stake_multiplier_futures[0]
            if self.is_futures_mode
            else self.regular_mode_stake_multiplier_spot[0]
          )
          if (proposed_stake * stake_multiplier) > min_stake:
            return proposed_stake * stake_multiplier
          else:
            return min_stake
    else:
      # Rebuy mode
      if all(c in self.short_rebuy_mode_tags for c in enter_tags) or (
        any(c in self.short_rebuy_mode_tags for c in enter_tags)
        and all(c in (self.short_rebuy_mode_tags + self.short_grind_mode_tags) for c in enter_tags)
      ):
        stake_multiplier = self.system_v3_rebuy_mode_stake_multiplier
        stake = proposed_stake * stake_multiplier
        if stake > min_stake:
          return stake
        else:
          return min_stake
      # Grind mode
      elif all(c in self.short_grind_mode_tags for c in enter_tags):
        for _, item in enumerate(
          self.grind_mode_stake_multiplier_futures if self.is_futures_mode else self.grind_mode_stake_multiplier_spot
        ):
          if (proposed_stake * item) > min_stake:
            stake_multiplier = item
            return proposed_stake * stake_multiplier
      # Rapid mode
      if (self.system_name_use == self.system_v3_name) and (
        all(c in self.short_rapid_mode_tags for c in enter_tags)
        or (
          any(c in self.short_rapid_mode_tags for c in enter_tags)
          and all(
            c in (self.short_rapid_mode_tags + self.short_rebuy_mode_tags + self.short_grind_mode_tags)
            for c in enter_tags
          )
        )
      ):
        stake_multiplier = (
          self.rapid_mode_stake_multiplier_futures[0]
          if self.is_futures_mode
          else self.rapid_mode_stake_multiplier_spot[0]
        )
        if (proposed_stake * stake_multiplier) > min_stake:
          return proposed_stake * stake_multiplier
        else:
          return min_stake
      else:
        if self.system_name_use == self.system_v3_2_name:
          stake_multiplier = self.system_v3_2_stake_multiplier
          if (proposed_stake * stake_multiplier) > min_stake:
            return proposed_stake * stake_multiplier
          else:
            return min_stake
        elif self.system_name_use == self.system_v3_1_name:
          stake_multiplier = self.system_v3_1_stake_multiplier
          if (proposed_stake * stake_multiplier) > min_stake:
            return proposed_stake * stake_multiplier
          else:
            return min_stake
        else:
          stake_multiplier = (
            self.regular_mode_stake_multiplier_futures[0]
            if self.is_futures_mode
            else self.regular_mode_stake_multiplier_spot[0]
          )
          if (proposed_stake * stake_multiplier) > min_stake:
            return proposed_stake * stake_multiplier
          else:
            return min_stake

    return proposed_stake

  # Order filled Callback
  # ---------------------------------------------------------------------------------------------
  def order_filled(self, pair: str, trade: Trade, order: Order, current_time: datetime, **kwargs) -> None:
    # Check if it's the first entry
    if trade.nr_of_successful_entries == 1:
      if self.system_name_use == self.system_v3_2_name:
        trade.set_custom_data(key="system_version", value=self.system_v3_2_name)
      elif self.system_name_use == self.system_v3_1_name:
        trade.set_custom_data(key="system_version", value=self.system_v3_1_name)
      elif self.system_name_use == self.system_v3_name:
        trade.set_custom_data(key="system_version", value=self.system_v3_name)
    return None

  # Adjust Trade Position
  # ---------------------------------------------------------------------------------------------
  def adjust_trade_position(
    self,
    trade: Trade,
    current_time: datetime,
    current_rate: float,
    current_profit: float,
    min_stake: Optional[float],
    max_stake: float,
    current_entry_rate: float,
    current_exit_rate: float,
    current_entry_profit: float,
    current_exit_profit: float,
    **kwargs,
  ):
    if self.position_adjustment_enable == False:
      return None

    enter_tag = "empty"
    if hasattr(trade, "enter_tag") and trade.enter_tag is not None:
      enter_tag = trade.enter_tag
    enter_tags = enter_tag.split()

    is_backtest = self.is_backtest_mode()
    is_long_grind_mode = all(c in self.long_grind_mode_tags for c in enter_tags)
    is_long_btc_mode = all(c in self.long_btc_mode_tags for c in enter_tags)
    is_short_grind_mode = all(c in self.short_grind_mode_tags for c in enter_tags)
    is_v2_date = trade.open_date_utc.replace(tzinfo=None) >= datetime(2025, 2, 13) or is_backtest
    is_system_v3 = self.is_system_v3(trade)
    is_system_v3_1 = self.is_system_v3_1(trade)
    is_system_v3_2 = self.is_system_v3_2(trade)

    # Rebuy mode
    if not trade.is_short and (
      all(c in self.long_rebuy_mode_tags for c in enter_tags)
      or (
        any(c in self.long_rebuy_mode_tags for c in enter_tags)
        and all(c in (self.long_rebuy_mode_tags + self.long_grind_mode_tags) for c in enter_tags)
      )
    ):
      if is_system_v3 or is_system_v3_1 or is_system_v3_2:
        return self.long_rebuy_adjust_trade_position_v3(
          trade,
          enter_tags,
          current_time,
          current_rate,
          current_profit,
          min_stake,
          max_stake,
          current_entry_rate,
          current_exit_rate,
          current_entry_profit,
          current_exit_profit,
        )
      else:
        return self.long_rebuy_adjust_trade_position(
          trade,
          enter_tags,
          current_time,
          current_rate,
          current_profit,
          min_stake,
          max_stake,
          current_entry_rate,
          current_exit_rate,
          current_entry_profit,
          current_exit_profit,
        )
    elif trade.is_short and (
      all(c in self.short_rebuy_mode_tags for c in enter_tags)
      or (
        any(c in self.short_rebuy_mode_tags for c in enter_tags)
        and all(c in (self.short_rebuy_mode_tags + self.short_grind_mode_tags) for c in enter_tags)
      )
    ):
      if is_system_v3 or is_system_v3_1 or is_system_v3_2:
        return self.short_rebuy_adjust_trade_position_v3(
          trade,
          enter_tags,
          current_time,
          current_rate,
          current_profit,
          min_stake,
          max_stake,
          current_entry_rate,
          current_exit_rate,
          current_entry_profit,
          current_exit_profit,
        )
      else:
        return self.short_rebuy_adjust_trade_position(
          trade,
          enter_tags,
          current_time,
          current_rate,
          current_profit,
          min_stake,
          max_stake,
          current_entry_rate,
          current_exit_rate,
          current_entry_profit,
          current_exit_profit,
        )

    # Grinding
    elif not trade.is_short:
      if not is_long_grind_mode and not is_long_btc_mode and (is_system_v3 or is_system_v3_1 or is_system_v3_2):
        if any(
          c
          in (
            self.long_normal_mode_tags
            + self.long_pump_mode_tags
            + self.long_quick_mode_tags
            + self.long_high_profit_mode_tags
            + self.long_rapid_mode_tags
            + self.long_top_coins_mode_tags
            + self.long_scalp_mode_tags
          )
          for c in enter_tags
        ) or not any(
          c
          in (
            self.long_normal_mode_tags
            + self.long_pump_mode_tags
            + self.long_quick_mode_tags
            + self.long_rebuy_mode_tags
            + self.long_high_profit_mode_tags
            + self.long_rapid_mode_tags
            + self.long_grind_mode_tags
            + self.long_btc_mode_tags
            + self.long_top_coins_mode_tags
            + self.long_scalp_mode_tags
          )
          for c in enter_tags
        ):
          return self.long_grind_adjust_trade_position_v3(
            trade,
            enter_tags,
            current_time,
            current_rate,
            current_profit,
            min_stake,
            max_stake,
            current_entry_rate,
            current_exit_rate,
            current_entry_profit,
            current_exit_profit,
          )
      elif is_long_grind_mode or is_long_btc_mode or not is_v2_date:
        return self.long_grind_adjust_trade_position(
          trade,
          enter_tags,
          current_time,
          current_rate,
          current_profit,
          min_stake,
          max_stake,
          current_entry_rate,
          current_exit_rate,
          current_entry_profit,
          current_exit_profit,
        )
      elif any(
        c
        in (
          self.long_normal_mode_tags
          + self.long_pump_mode_tags
          + self.long_quick_mode_tags
          + self.long_high_profit_mode_tags
          + self.long_rapid_mode_tags
          + self.long_top_coins_mode_tags
          + self.long_scalp_mode_tags
        )
        for c in enter_tags
      ) or not any(
        c
        in (
          self.long_normal_mode_tags
          + self.long_pump_mode_tags
          + self.long_quick_mode_tags
          + self.long_rebuy_mode_tags
          + self.long_high_profit_mode_tags
          + self.long_rapid_mode_tags
          + self.long_grind_mode_tags
          + self.long_btc_mode_tags
          + self.long_top_coins_mode_tags
          + self.long_scalp_mode_tags
        )
        for c in enter_tags
      ):
        return self.long_grind_adjust_trade_position_v2(
          trade,
          enter_tags,
          current_time,
          current_rate,
          current_profit,
          min_stake,
          max_stake,
          current_entry_rate,
          current_exit_rate,
          current_entry_profit,
          current_exit_profit,
        )

    elif trade.is_short:
      if not is_short_grind_mode and (is_system_v3 or is_system_v3_1 or is_system_v3_2):
        if any(
          c
          in (
            self.short_normal_mode_tags
            + self.short_pump_mode_tags
            + self.short_quick_mode_tags
            + self.short_high_profit_mode_tags
            + self.short_rapid_mode_tags
            + self.short_top_coins_mode_tags
            + self.short_scalp_mode_tags
          )
          for c in enter_tags
        ) or not any(
          c
          in (
            self.short_normal_mode_tags
            + self.short_pump_mode_tags
            + self.short_quick_mode_tags
            + self.short_rebuy_mode_tags
            + self.short_high_profit_mode_tags
            + self.short_rapid_mode_tags
            + self.short_grind_mode_tags
            + self.short_top_coins_mode_tags
            + self.short_scalp_mode_tags
          )
          for c in enter_tags
        ):
          return self.short_grind_adjust_trade_position_v3(
            trade,
            enter_tags,
            current_time,
            current_rate,
            current_profit,
            min_stake,
            max_stake,
            current_entry_rate,
            current_exit_rate,
            current_entry_profit,
            current_exit_profit,
          )
      elif is_short_grind_mode or not is_v2_date:
        return self.short_grind_adjust_trade_position(
          trade,
          enter_tags,
          current_time,
          current_rate,
          current_profit,
          min_stake,
          max_stake,
          current_entry_rate,
          current_exit_rate,
          current_entry_profit,
          current_exit_profit,
        )
      else:
        if any(
          c
          in (
            self.short_normal_mode_tags
            + self.short_pump_mode_tags
            + self.short_quick_mode_tags
            + self.short_high_profit_mode_tags
            + self.short_rapid_mode_tags
            + self.short_top_coins_mode_tags
            + self.short_scalp_mode_tags
          )
          for c in enter_tags
        ) or not any(
          c
          in (
            self.short_normal_mode_tags
            + self.short_pump_mode_tags
            + self.short_quick_mode_tags
            + self.short_rebuy_mode_tags
            + self.short_high_profit_mode_tags
            + self.short_rapid_mode_tags
            + self.short_grind_mode_tags
            + self.short_top_coins_mode_tags
            + self.short_scalp_mode_tags
          )
          for c in enter_tags
        ):
          return self.short_grind_adjust_trade_position_v2(
            trade,
            enter_tags,
            current_time,
            current_rate,
            current_profit,
            min_stake,
            max_stake,
            current_entry_rate,
            current_exit_rate,
            current_entry_profit,
            current_exit_profit,
          )

    return None

  def notification_msg(
    self,
    msg_type: str,
    tag: str,
    pair: str,
    rate: float,
    stake_amount: float,
    profit_stake: float,
    profit_ratio: float,
    grind_profit_stake: float = None,
    grind_profit_pct: float = None,
    stake_currency: str = None,
    coin_amount: float = None,
  ) -> str:
    """
    Generate a formatted notification message for trade events.

    This function is designed to standardize trade-related notifications
    such as grinding entries, exits, stop-losses, buybacks, and re-entries.
    It builds a Markdown-formatted message with emojis for readability.

    Parameters
    ----------
    msg_type : str
        Type of notification. Must be one of:
        - "grinding-entry"
        - "grinding-exit"
        - "grinding-derisk"
        - "grinding-stop"
        - "buyback-entry"
        - "buyback-exit"
        - "buyback-derisk"
        - "re-entry"
        - "de-risk"
        - "rebuy-derisk"
        - "rebuy"
    tag : str
        Identifier or label for the trade step (e.g., "g1", "dl1").
    pair : str
        Pair (e.g., "BTC/USDT").
    rate : float
        Entry or exit rate for the trade.
    stake_amount : float
        Amount of stake used in the trade.
    profit_stake : float
        Profit expressed in stake currency.
    profit_ratio : float
        Profit ratio (decimal form, e.g. 0.05 = 5%).
    grind_profit_stake : float, optional
        Grind profit expressed in stake currency (default: None).
    grind_profit_pct : float, optional
        Grind profit ratio (decimal form, e.g. 0.02 = 2%) (default: None).
    stake_currency : str, optional
        Symbol of the stake currency (e.g., "USDT"). If None, only numeric values are shown.
    coin_amount : float, optional
        Amount of base coins involved in the trade (e.g., exit/stop cases).

    Returns
    -------
    str
        A formatted multi-line string with trade details.
        Example:
        ```
        ✅ **Grinding entry:** `(dl1)`
        🏦 **Exchange:** `Binance`
        🪙 **Pair:** `BTC/USDT`
        〽️ **Rate:** `20000.0`
        💰 **Stake amount:** `100.00 USDT`
        💵 **Profit (stake):** `5.00 USDT`
        💸 **Profit (percent):** `5.00%`
        💶 **Grind profit (stake):** `2.00 USDT`
        💸 **Grind profit (percent):** `2.00%`
        ```

    Notes
    -----
    - The function uses Markdown formatting (e.g., **bold**, `inline code`)
      for compatibility with Discord, Telegram, etc.
    - If `grind_profit_stake` or `grind_profit_pct` are not provided,
      the related fields are omitted.
    - If `stake_currency` is provided, it will be appended to amounts.
    """

    # Headers for different message types
    headers = {
      "grinding-entry": f"✅ ​**Grinding entry:** `({tag})`\n",
      "grinding-exit": f"❎​ ​**Grinding exit:** `({tag})`\n",
      "grinding-derisk": f"❌​​ ​**Grinding de-risk:** `({tag})`\n",
      "grinding-stop": f"❌ ​**Grinding stop exit:** `({tag})`\n",
      "buyback-entry": f"✅ ​**Buyback entry:** `({tag})`\n",
      "buyback-exit": f"❎​​ ​**Buyback exit:** `({tag})`\n",
      "buyback-derisk": f"❌​​ ​**Buyback de-risk:** `({tag})`\n",
      "re-entry": f"✅ ​**Re-entry:** `({tag})`\n",
      "de-risk": f"❌​​ ​**De-risk:** `({tag})`\n",
      "rebuy-derisk": f"❌​​ ​**Rebuy de-risk:** `({tag})`\n",
      "rebuy": f"✅ ​**Rebuy:** `({tag})`\n",
    }

    # Start with the header
    msg = headers.get(msg_type, None)

    # Add exchange information
    exchange_name = getattr(self, "config", {}).get("exchange", {}).get("name", "Unknown").capitalize()
    msg += f"🏦 **Exchange:** `{exchange_name}`\n"

    # Common fields
    msg += (
      f"🪙 **Pair:** `{pair}`\n"
      f"〽️ **Rate:** `{rate}`\n"
      f"💰 **Stake amount:** `{stake_amount:.2f}{'' if stake_currency is None else ' ' + stake_currency}`\n"
    )

    # Add coin amount if available (exit/stop cases)
    if coin_amount is not None:
      msg += f"🪙 **Coin amount:** `{coin_amount}`\n"

    # Profit section
    profit_pct = profit_ratio * 100
    msg += (
      f"💵 **Profit (stake):** `{profit_stake:.2f}{'' if stake_currency is None else ' ' + stake_currency}`\n"
      f"💸 **Profit (percent):** `{profit_pct:.2f}%`\n"
    )

    # Grind profit calculation
    if grind_profit_stake is not None and grind_profit_stake != 0:
      msg += f"💶 **Grind profit (stake):** `{grind_profit_stake:.2f}{'' if stake_currency is None else ' ' + stake_currency}`\n"
    if grind_profit_pct is not None and grind_profit_pct != 0:
      msg += f"💸 **Grind profit (percent):** `{(grind_profit_pct * 100.0):.2f}%`"

    return msg

  # Informative Pairs
  # ---------------------------------------------------------------------------------------------
  def informative_pairs(self):
    # get access to all pairs available in whitelist.
    pairs = self.dp.current_whitelist()
    # Assign tf to each pair so they can be downloaded and cached for strategy.
    informative_pairs = []
    for info_timeframe in self.info_timeframes:
      informative_pairs.extend([(pair, info_timeframe) for pair in pairs])

    if self.config["stake_currency"] in [
      "USDT",
      "BUSD",
      "USDC",
      "DAI",
      "TUSD",
      "FDUSD",
      "PAX",
      "USD",
      "EUR",
      "GBP",
      "TRY",
    ]:
      if ("trading_mode" in self.config) and (self.config["trading_mode"] in ["futures", "margin"]):
        btc_info_pair = f"BTC/{self.config['stake_currency']}:{self.config['stake_currency']}"
      else:
        btc_info_pair = f"BTC/{self.config['stake_currency']}"
    else:
      if ("trading_mode" in self.config) and (self.config["trading_mode"] in ["futures", "margin"]):
        btc_info_pair = "BTC/USDT:USDT"
      else:
        btc_info_pair = "BTC/USDT"

    informative_pairs.extend([(btc_info_pair, btc_info_timeframe) for btc_info_timeframe in self.btc_info_timeframes])

    return informative_pairs

  # Informative 1d Timeframe Indicators
  # ---------------------------------------------------------------------------------------------
  def informative_1d_indicators(self, metadata: dict, info_timeframe) -> DataFrame:
    tik = time.perf_counter()
    assert self.dp, "DataProvider is required for multiple timeframes."
    # Get the informative pair
    informative_1d = self.dp.get_pair_dataframe(pair=metadata["pair"], timeframe=info_timeframe)

    # Indicators
    # -----------------------------------------------------------------------------------------
    # informative_1d_indicators_pandas_ta = pta.Strategy(
    #   name="informative_1d_indicators_pandas_ta",
    #   ta=[
    #     # RSI
    #     {"kind": "rsi", "length": 3},
    #     {"kind": "rsi", "length": 14},
    #     # {"kind": "rsi", "length": 20},
    #     # EMA
    #     # {"kind": "ema", "length": 12},
    #     # {"kind": "ema", "length": 16},
    #     # {"kind": "ema", "length": 20},
    #     # {"kind": "ema", "length": 26},
    #     # {"kind": "ema", "length": 50},
    #     # {"kind": "ema", "length": 100},
    #     # {"kind": "ema", "length": 200},
    #     # SMA
    #     # {"kind": "sma", "length": 16},
    #     # MFI
    #     {"kind": "mfi"},
    #     # CMF
    #     {"kind": "cmf"},
    #     # Williams %R
    #     {"kind": "willr", "length": 14},
    #     # STOCHRSI
    #     {"kind": "stochrsi"},
    #     # KST
    #     {"kind": "kst"},
    #     # ROC
    #     {"kind": "roc"},
    #     # AROON
    #     {"kind": "aroon"},
    #   ],
    # )
    # informative_1d.ta.study(informative_1d_indicators_pandas_ta, cores=self.num_cores_indicators_calc)
    # RSI
    informative_1d["RSI_3"] = pta.rsi(informative_1d["close"], length=3)
    informative_1d["RSI_14"] = pta.rsi(informative_1d["close"], length=14)
    informative_1d["RSI_3_change_pct"] = informative_1d["RSI_3"].pct_change() * 100.0
    informative_1d["RSI_14_change_pct"] = informative_1d["RSI_14"].pct_change() * 100.0
    informative_1d["RSI_3_diff"] = informative_1d["RSI_3"].diff()
    informative_1d["RSI_14_diff"] = informative_1d["RSI_14"].diff()
    # BB 20 - STD2
    bbands_20_2 = pta.bbands(informative_1d["close"], length=20)
    informative_1d["BBL_20_2.0"] = bbands_20_2["BBL_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan
    informative_1d["BBM_20_2.0"] = bbands_20_2["BBM_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan
    informative_1d["BBU_20_2.0"] = bbands_20_2["BBU_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan
    informative_1d["BBB_20_2.0"] = bbands_20_2["BBB_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan
    informative_1d["BBP_20_2.0"] = bbands_20_2["BBP_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan
    # MFI
    informative_1d["MFI_14"] = pta.mfi(
      informative_1d["high"], informative_1d["low"], informative_1d["close"], informative_1d["volume"], length=14
    )
    # CMF
    informative_1d["CMF_20"] = pta.cmf(
      informative_1d["high"], informative_1d["low"], informative_1d["close"], informative_1d["volume"], length=20
    )
    # Williams %R
    informative_1d["WILLR_14"] = pta.willr(
      informative_1d["high"], informative_1d["low"], informative_1d["close"], length=14
    )
    # AROON
    aroon_14 = pta.aroon(informative_1d["high"], informative_1d["low"], length=14)
    informative_1d["AROONU_14"] = aroon_14["AROONU_14"] if isinstance(aroon_14, pd.DataFrame) else np.nan
    informative_1d["AROOND_14"] = aroon_14["AROOND_14"] if isinstance(aroon_14, pd.DataFrame) else np.nan
    # Stochastic
    try:
      stochrsi = pta.stoch(informative_1d["high"], informative_1d["low"], informative_1d["close"])
      informative_1d["STOCHk_14_3_3"] = stochrsi["STOCHk_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan
      informative_1d["STOCHd_14_3_3"] = stochrsi["STOCHd_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan
    except AttributeError:
      informative_1d["STOCHk_14_3_3"] = np.nan
      informative_1d["STOCHd_14_3_3"] = np.nan
    # Stochastic RSI
    stochrsi = pta.stochrsi(informative_1d["close"])
    informative_1d["STOCHRSIk_14_14_3_3"] = (
      stochrsi["STOCHRSIk_14_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan
    )
    informative_1d["STOCHRSId_14_14_3_3"] = (
      stochrsi["STOCHRSId_14_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan
    )
    # ROC
    informative_1d["ROC_2"] = pta.roc(informative_1d["close"], length=2)
    informative_1d["ROC_9"] = pta.roc(informative_1d["close"], length=9)
    # Candle change
    informative_1d["change_pct"] = (informative_1d["close"] - informative_1d["open"]) / informative_1d["open"] * 100.0
    # Wicks
    informative_1d["top_wick_pct"] = (
      (informative_1d["high"] - np.maximum(informative_1d["open"], informative_1d["close"]))
      / np.maximum(informative_1d["open"], informative_1d["close"])
      * 100.0
    )
    informative_1d["bot_wick_pct"] = abs(
      (informative_1d["low"] - np.minimum(informative_1d["open"], informative_1d["close"]))
      / np.minimum(informative_1d["open"], informative_1d["close"])
      * 100.0
    )
    # Max highs
    informative_1d["high_max_6"] = informative_1d["high"].rolling(6).max()
    informative_1d["high_max_12"] = informative_1d["high"].rolling(12).max()
    informative_1d["high_max_20"] = informative_1d["high"].rolling(20).max()
    informative_1d["high_max_30"] = informative_1d["high"].rolling(30).max()
    # Max lows
    informative_1d["low_min_6"] = informative_1d["low"].rolling(6).min()
    informative_1d["low_min_12"] = informative_1d["low"].rolling(12).min()
    informative_1d["low_min_20"] = informative_1d["low"].rolling(20).min()
    informative_1d["low_min_30"] = informative_1d["low"].rolling(30).min()

    # Performance logging
    # -----------------------------------------------------------------------------------------
    tok = time.perf_counter()
    log.debug(f"[{metadata['pair']}] informative_1d_indicators took: {tok - tik:0.4f} seconds.")

    return informative_1d

  # Informative 4h Timeframe Indicators
  # ---------------------------------------------------------------------------------------------
  def informative_4h_indicators(self, metadata: dict, info_timeframe) -> DataFrame:
    tik = time.perf_counter()
    assert self.dp, "DataProvider is required for multiple timeframes."
    # Get the informative pair
    informative_4h = self.dp.get_pair_dataframe(pair=metadata["pair"], timeframe=info_timeframe)

    # Indicators
    # -----------------------------------------------------------------------------------------
    # informative_4h_indicators_pandas_ta = pta.Strategy(
    #   name="informative_4h_indicators_pandas_ta",
    #   ta=[
    #     # RSI
    #     {"kind": "rsi", "length": 3},
    #     {"kind": "rsi", "length": 14},
    #     # {"kind": "rsi", "length": 20},
    #     # EMA
    #     {"kind": "ema", "length": 12},
    #     # {"kind": "ema", "length": 16},
    #     # {"kind": "ema", "length": 20},
    #     {"kind": "ema", "length": 26},
    #     # {"kind": "ema", "length": 50},
    #     # {"kind": "ema", "length": 100},
    #     {"kind": "ema", "length": 200},
    #     # SMA
    #     # {"kind": "sma", "length": 16},
    #     # BB 20 - STD2
    #     {"kind": "bbands", "length": 20},
    #     # MFI
    #     {"kind": "mfi"},
    #     # CMF
    #     {"kind": "cmf"},
    #     # Williams %R
    #     {"kind": "willr", "length": 14},
    #     # CTI
    #     {"kind": "cti", "length": 20},
    #     # STOCHRSI
    #     {"kind": "stochrsi"},
    #     # KST
    #     {"kind": "kst"},
    #     # ROC
    #     {"kind": "roc"},
    #     # AROON
    #     {"kind": "aroon"},
    #     # UO
    #     {"kind": "uo"},
    #     # AO
    #     {"kind": "ao"},
    #   ],
    # )
    # informative_4h.ta.study(informative_4h_indicators_pandas_ta, cores=self.num_cores_indicators_calc)
    # RSI
    informative_4h["RSI_3"] = pta.rsi(informative_4h["close"], length=3)
    informative_4h["RSI_14"] = pta.rsi(informative_4h["close"], length=14)
    informative_4h["RSI_3_change_pct"] = informative_4h["RSI_3"].pct_change() * 100.0
    informative_4h["RSI_14_change_pct"] = informative_4h["RSI_14"].pct_change() * 100.0
    informative_4h["RSI_3_diff"] = informative_4h["RSI_3"].diff()
    informative_4h["RSI_14_diff"] = informative_4h["RSI_14"].diff()
    # EMA
    informative_4h["EMA_12"] = pta.ema(informative_4h["close"], length=12)
    informative_4h["EMA_200"] = pta.ema(informative_4h["close"], length=200, fillna=0.0)
    # BB 20 - STD2
    bbands_20_2 = pta.bbands(informative_4h["close"], length=20)
    informative_4h["BBL_20_2.0"] = bbands_20_2["BBL_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan
    informative_4h["BBM_20_2.0"] = bbands_20_2["BBM_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan
    informative_4h["BBU_20_2.0"] = bbands_20_2["BBU_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan
    informative_4h["BBB_20_2.0"] = bbands_20_2["BBB_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan
    informative_4h["BBP_20_2.0"] = bbands_20_2["BBP_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan
    # MFI
    informative_4h["MFI_14"] = pta.mfi(
      informative_4h["high"], informative_4h["low"], informative_4h["close"], informative_4h["volume"], length=14
    )
    # CMF
    informative_4h["CMF_20"] = pta.cmf(
      informative_4h["high"], informative_4h["low"], informative_4h["close"], informative_4h["volume"], length=20
    )
    # Williams %R
    informative_4h["WILLR_14"] = pta.willr(
      informative_4h["high"], informative_4h["low"], informative_4h["close"], length=14
    )
    # AROON
    aroon_14 = pta.aroon(informative_4h["high"], informative_4h["low"], length=14)
    informative_4h["AROONU_14"] = aroon_14["AROONU_14"] if isinstance(aroon_14, pd.DataFrame) else np.nan
    informative_4h["AROOND_14"] = aroon_14["AROOND_14"] if isinstance(aroon_14, pd.DataFrame) else np.nan
    # Stochastic
    try:
      stochrsi = pta.stoch(informative_4h["high"], informative_4h["low"], informative_4h["close"])
      informative_4h["STOCHk_14_3_3"] = stochrsi["STOCHk_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan
      informative_4h["STOCHd_14_3_3"] = stochrsi["STOCHd_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan
    except AttributeError:
      informative_4h["STOCHk_14_3_3"] = np.nan
      informative_4h["STOCHd_14_3_3"] = np.nan
    # Stochastic RSI
    stochrsi = pta.stochrsi(informative_4h["close"])
    informative_4h["STOCHRSIk_14_14_3_3"] = (
      stochrsi["STOCHRSIk_14_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan
    )
    informative_4h["STOCHRSId_14_14_3_3"] = (
      stochrsi["STOCHRSId_14_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan
    )
    informative_4h["STOCHRSIk_14_14_3_3_change_pct"] = (informative_4h["STOCHRSIk_14_14_3_3"].pct_change()) * 100.0
    # KST
    kst = pta.kst(informative_4h["close"])
    informative_4h["KST_10_15_20_30_10_10_10_15"] = (
      kst["KST_10_15_20_30_10_10_10_15"] if isinstance(kst, pd.DataFrame) else np.nan
    )
    informative_4h["KSTs_9"] = kst["KSTs_9"] if isinstance(kst, pd.DataFrame) else np.nan
    # UO
    informative_4h["UO_7_14_28"] = pta.uo(informative_4h["high"], informative_4h["low"], informative_4h["close"])
    # OBV
    informative_4h["OBV"] = pta.obv(informative_4h["close"], informative_4h["volume"])
    informative_4h["OBV_change_pct"] = (informative_4h["OBV"].pct_change()) * 100.0
    # ROC
    informative_4h["ROC_2"] = pta.roc(informative_4h["close"], length=2)
    informative_4h["ROC_9"] = pta.roc(informative_4h["close"], length=9)
    # CCI
    informative_4h["CCI_20"] = pta.cci(
      informative_4h["high"], informative_4h["low"], informative_4h["close"], length=20
    )
    informative_4h["CCI_20"] = (
      (informative_4h["CCI_20"]).astype(np.float64).replace(to_replace=[np.nan, None], value=(0.0))
    )
    informative_4h["CCI_20_change_pct"] = (informative_4h["CCI_20"].pct_change()) * 100.0

    # Candle change
    informative_4h["change_pct"] = (informative_4h["close"] - informative_4h["open"]) / informative_4h["open"] * 100.0
    informative_4h["change_pct_min_3"] = informative_4h["change_pct"].rolling(3).min()
    informative_4h["change_pct_min_6"] = informative_4h["change_pct"].rolling(6).min()
    informative_4h["change_pct_max_3"] = informative_4h["change_pct"].rolling(3).max()
    informative_4h["change_pct_max_6"] = informative_4h["change_pct"].rolling(6).max()
    # Candle change
    informative_4h["change_pct"] = (informative_4h["close"] - informative_4h["open"]) / informative_4h["open"] * 100.0
    # Wicks
    informative_4h["top_wick_pct"] = (
      (informative_4h["high"] - np.maximum(informative_4h["open"], informative_4h["close"]))
      / np.maximum(informative_4h["open"], informative_4h["close"])
      * 100.0
    )
    informative_4h["bot_wick_pct"] = abs(
      (informative_4h["low"] - np.minimum(informative_4h["open"], informative_4h["close"]))
      / np.minimum(informative_4h["open"], informative_4h["close"])
      * 100.0
    )
    # Max highs
    informative_4h["high_max_6"] = informative_4h["high"].rolling(6).max()
    informative_4h["high_max_12"] = informative_4h["high"].rolling(12).max()
    informative_4h["high_max_24"] = informative_4h["high"].rolling(24).max()
    # Min lows
    informative_4h["low_min_6"] = informative_4h["low"].rolling(6).min()
    informative_4h["low_min_12"] = informative_4h["low"].rolling(12).min()
    informative_4h["low_min_24"] = informative_4h["low"].rolling(24).min()

    # Performance logging
    # -----------------------------------------------------------------------------------------
    tok = time.perf_counter()
    log.debug(f"[{metadata['pair']}] informative_1d_indicators took: {tok - tik:0.4f} seconds.")

    return informative_4h

  # Informative 1h Timeframe Indicators
  # ---------------------------------------------------------------------------------------------
  def informative_1h_indicators(self, metadata: dict, info_timeframe) -> DataFrame:
    tik = time.perf_counter()
    assert self.dp, "DataProvider is required for multiple timeframes."
    # Get the informative pair
    informative_1h = self.dp.get_pair_dataframe(pair=metadata["pair"], timeframe=info_timeframe)

    # Indicators
    # -----------------------------------------------------------------------------------------
    # informative_1h_indicators_pandas_ta = pta.Strategy(
    #   name="informative_1h_indicators_pandas_ta",
    #   ta=[
    #     # RSI
    #     {"kind": "rsi", "length": 3},
    #     {"kind": "rsi", "length": 14},
    #     # {"kind": "rsi", "length": 20},
    #     # EMA
    #     {"kind": "ema", "length": 12},
    #     # {"kind": "ema", "length": 16},
    #     {"kind": "ema", "length": 20},
    #     {"kind": "ema", "length": 26},
    #     # {"kind": "ema", "length": 50},
    #     # {"kind": "ema", "length": 100},
    #     {"kind": "ema", "length": 200},
    #     # SMA
    #     # {"kind": "sma", "length": 16},
    #     # BB 20 - STD2
    #     {"kind": "bbands", "length": 20},
    #     # MFI
    #     {"kind": "mfi"},
    #     # CMF
    #     {"kind": "cmf"},
    #     # Williams %R
    #     {"kind": "willr", "length": 14},
    #     # CTI
    #     {"kind": "cti", "length": 20},
    #     # STOCHRSI
    #     {"kind": "stochrsi"},
    #     # KST
    #     {"kind": "kst"},
    #     # ROC
    #     {"kind": "roc"},
    #     # AROON
    #     {"kind": "aroon"},
    #     # UO
    #     {"kind": "uo"},
    #     # AO
    #     {"kind": "ao"},
    #   ],
    # )
    # informative_1h.ta.study(informative_1h_indicators_pandas_ta, cores=self.num_cores_indicators_calc)
    # RSI
    informative_1h["RSI_3"] = pta.rsi(informative_1h["close"], length=3)
    informative_1h["RSI_14"] = pta.rsi(informative_1h["close"], length=14)
    informative_1h["RSI_3_change_pct"] = informative_1h["RSI_3"].pct_change() * 100.0
    informative_1h["RSI_14_change_pct"] = informative_1h["RSI_14"].pct_change() * 100.0
    informative_1h["RSI_3_diff"] = informative_1h["RSI_3"].diff()
    informative_1h["RSI_14_diff"] = informative_1h["RSI_14"].diff()
    # EMA
    informative_1h["EMA_12"] = pta.ema(informative_1h["close"], length=12)
    informative_1h["EMA_200"] = pta.ema(informative_1h["close"], length=200, fillna=0.0)
    # SMA
    informative_1h["SMA_16"] = pta.sma(informative_1h["close"], length=16)
    # BB 20 - STD2
    bbands_20_2 = pta.bbands(informative_1h["close"], length=20)
    informative_1h["BBL_20_2.0"] = bbands_20_2["BBL_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan
    informative_1h["BBM_20_2.0"] = bbands_20_2["BBM_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan
    informative_1h["BBU_20_2.0"] = bbands_20_2["BBU_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan
    informative_1h["BBB_20_2.0"] = bbands_20_2["BBB_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan
    informative_1h["BBP_20_2.0"] = bbands_20_2["BBP_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan
    # MFI
    informative_1h["MFI_14"] = pta.mfi(
      informative_1h["high"], informative_1h["low"], informative_1h["close"], informative_1h["volume"], length=14
    )
    # CMF
    informative_1h["CMF_20"] = pta.cmf(
      informative_1h["high"], informative_1h["low"], informative_1h["close"], informative_1h["volume"], length=20
    )
    # Williams %R
    informative_1h["WILLR_14"] = pta.willr(
      informative_1h["high"], informative_1h["low"], informative_1h["close"], length=14
    )
    informative_1h["WILLR_84"] = pta.willr(
      informative_1h["high"], informative_1h["low"], informative_1h["close"], length=84
    )
    # AROON
    aroon_14 = pta.aroon(informative_1h["high"], informative_1h["low"], length=14)
    informative_1h["AROONU_14"] = aroon_14["AROONU_14"] if isinstance(aroon_14, pd.DataFrame) else np.nan
    informative_1h["AROOND_14"] = aroon_14["AROOND_14"] if isinstance(aroon_14, pd.DataFrame) else np.nan
    # Stochastic
    stochrsi = pta.stoch(informative_1h["high"], informative_1h["low"], informative_1h["close"])
    informative_1h["STOCHk_14_3_3"] = stochrsi["STOCHk_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan
    informative_1h["STOCHd_14_3_3"] = stochrsi["STOCHd_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan
    # Stochastic RSI
    stochrsi = pta.stochrsi(informative_1h["close"])
    informative_1h["STOCHRSIk_14_14_3_3"] = (
      stochrsi["STOCHRSIk_14_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan
    )
    informative_1h["STOCHRSId_14_14_3_3"] = (
      stochrsi["STOCHRSId_14_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan
    )
    # KST
    kst = pta.kst(informative_1h["close"])
    informative_1h["KST_10_15_20_30_10_10_10_15"] = (
      kst["KST_10_15_20_30_10_10_10_15"] if isinstance(kst, pd.DataFrame) else np.nan
    )
    informative_1h["KSTs_9"] = kst["KSTs_9"] if isinstance(kst, pd.DataFrame) else np.nan
    # UO
    informative_1h["UO_7_14_28"] = pta.uo(informative_1h["high"], informative_1h["low"], informative_1h["close"])
    informative_1h["UO_7_14_28"] = (
      (informative_1h["UO_7_14_28"]).astype(np.float64).replace(to_replace=[np.nan, None], value=(50.0))
    )
    informative_1h["UO_7_14_28_change_pct"] = informative_1h["UO_7_14_28"].pct_change() * 100.0
    # OBV
    informative_1h["OBV"] = pta.obv(informative_1h["close"], informative_1h["volume"])
    informative_1h["OBV_change_pct"] = informative_1h["OBV"].pct_change() * 100.0
    # ROC
    informative_1h["ROC_2"] = pta.roc(informative_1h["close"], length=2)
    informative_1h["ROC_9"] = pta.roc(informative_1h["close"], length=9)
    # CCI
    informative_1h["CCI_20"] = pta.cci(
      informative_1h["high"], informative_1h["low"], informative_1h["close"], length=20
    )
    informative_1h["CCI_20"] = (
      (informative_1h["CCI_20"]).astype(np.float64).replace(to_replace=[np.nan, None], value=(0.0))
    )
    informative_1h["CCI_20_change_pct"] = informative_1h["CCI_20"].pct_change() * 100.0
    # Candle change
    informative_1h["change_pct"] = (informative_1h["close"] - informative_1h["open"]) / informative_1h["open"] * 100.0
    # Wicks
    informative_1h["top_wick_pct"] = (
      (informative_1h["high"] - np.maximum(informative_1h["open"], informative_1h["close"]))
      / np.maximum(informative_1h["open"], informative_1h["close"])
      * 100.0
    )
    informative_1h["bot_wick_pct"] = abs(
      (informative_1h["low"] - np.minimum(informative_1h["open"], informative_1h["close"]))
      / np.minimum(informative_1h["open"], informative_1h["close"])
      * 100.0
    )
    # Max highs
    informative_1h["high_max_6"] = informative_1h["high"].rolling(6).max()
    informative_1h["high_max_12"] = informative_1h["high"].rolling(12).max()
    informative_1h["high_max_24"] = informative_1h["high"].rolling(24).max()
    # Min lows
    informative_1h["low_min_6"] = informative_1h["low"].rolling(6).min()
    informative_1h["low_min_12"] = informative_1h["low"].rolling(12).min()
    informative_1h["low_min_24"] = informative_1h["low"].rolling(24).min()

    # Performance logging
    # -----------------------------------------------------------------------------------------
    tok = time.perf_counter()
    log.debug(f"[{metadata['pair']}] informative_1h_indicators took: {tok - tik:0.4f} seconds.")

    return informative_1h

  # Informative 15m Timeframe Indicators
  # ---------------------------------------------------------------------------------------------
  def informative_15m_indicators(self, metadata: dict, info_timeframe) -> DataFrame:
    tik = time.perf_counter()
    assert self.dp, "DataProvider is required for multiple timeframes."

    # Get the informative pair
    informative_15m = self.dp.get_pair_dataframe(pair=metadata["pair"], timeframe=info_timeframe)

    # Indicators
    # -----------------------------------------------------------------------------------------
    # informative_15m_indicators_pandas_ta = pta.Strategy(
    #   name="informative_15m_indicators_pandas_ta",
    #   ta=[
    #     # RSI
    #     {"kind": "rsi", "length": 3},
    #     {"kind": "rsi", "length": 14},
    #     # {"kind": "rsi", "length": 20},
    #     # EMA
    #     {"kind": "ema", "length": 12},
    #     # {"kind": "ema", "length": 16},
    #     # {"kind": "ema", "length": 20},
    #     # {"kind": "ema", "length": 26},
    #     # {"kind": "ema", "length": 50},
    #     # {"kind": "ema", "length": 100},
    #     # {"kind": "ema", "length": 200},
    #     # SMA
    #     # {"kind": "sma", "length": 16},
    #     # BB 20 - STD2
    #     {"kind": "bbands", "length": 20},
    #     # Williams %R
    #     {"kind": "willr", "length": 14},
    #     # CTI
    #     {"kind": "cti", "length": 20},
    #     # STOCHRSI
    #     {"kind": "stochrsi"},
    #     # ROC
    #     {"kind": "roc"},
    #     # AROON
    #     {"kind": "aroon"},
    #     # UO
    #     {"kind": "uo"},
    #     # AO
    #     {"kind": "ao"},
    #   ],
    # )
    # informative_15m.ta.study(informative_15m_indicators_pandas_ta, cores=self.num_cores_indicators_calc)
    # RSI
    informative_15m["RSI_3"] = pta.rsi(informative_15m["close"], length=3)
    informative_15m["RSI_14"] = pta.rsi(informative_15m["close"], length=14)
    informative_15m["RSI_3_change_pct"] = informative_15m["RSI_3"].pct_change() * 100.0
    informative_15m["RSI_14_change_pct"] = informative_15m["RSI_14"].pct_change() * 100.0
    # EMA
    informative_15m["EMA_12"] = pta.ema(informative_15m["close"], length=12)
    informative_15m["EMA_20"] = pta.ema(informative_15m["close"], length=20)
    informative_15m["EMA_26"] = pta.ema(informative_15m["close"], length=26)
    # MFI
    informative_15m["MFI_14"] = pta.mfi(
      informative_15m["high"], informative_15m["low"], informative_15m["close"], informative_15m["volume"], length=14
    )
    # CMF
    informative_15m["CMF_20"] = pta.cmf(
      informative_15m["high"], informative_15m["low"], informative_15m["close"], informative_15m["volume"], length=20
    )
    # Williams %R
    informative_15m["WILLR_14"] = pta.willr(
      informative_15m["high"], informative_15m["low"], informative_15m["close"], length=14
    )
    # AROON
    aroon_14 = pta.aroon(informative_15m["high"], informative_15m["low"], length=14)
    informative_15m["AROONU_14"] = aroon_14["AROONU_14"] if isinstance(aroon_14, pd.DataFrame) else np.nan
    informative_15m["AROOND_14"] = aroon_14["AROOND_14"] if isinstance(aroon_14, pd.DataFrame) else np.nan
    # Stochastic
    stochrsi = pta.stoch(informative_15m["high"], informative_15m["low"], informative_15m["close"])
    informative_15m["STOCHk_14_3_3"] = stochrsi["STOCHk_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan
    informative_15m["STOCHd_14_3_3"] = stochrsi["STOCHd_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan
    # Stochastic RSI
    stochrsi = pta.stochrsi(informative_15m["close"])
    informative_15m["STOCHRSIk_14_14_3_3"] = (
      stochrsi["STOCHRSIk_14_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan
    )
    informative_15m["STOCHRSId_14_14_3_3"] = (
      stochrsi["STOCHRSId_14_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan
    )
    # UO
    informative_15m["UO_7_14_28"] = pta.uo(informative_15m["high"], informative_15m["low"], informative_15m["close"])
    informative_15m["UO_7_14_28_change_pct"] = informative_15m["UO_7_14_28"].pct_change() * 100.0
    # OBV
    informative_15m["OBV"] = pta.obv(informative_15m["close"], informative_15m["volume"])
    informative_15m["OBV_change_pct"] = informative_15m["OBV"].pct_change() * 100.0
    # ROC
    informative_15m["ROC_9"] = pta.roc(informative_15m["close"], length=9)
    # CCI
    informative_15m["CCI_20"] = pta.cci(
      informative_15m["high"], informative_15m["low"], informative_15m["close"], length=20
    )
    informative_15m["CCI_20"] = (
      (informative_15m["CCI_20"]).astype(np.float64).replace(to_replace=[np.nan, None], value=(0.0))
    )
    informative_15m["CCI_20_change_pct"] = informative_15m["CCI_20"].pct_change() * 100.0
    # Candle change
    informative_15m["change_pct"] = (
      (informative_15m["close"] - informative_15m["open"]) / informative_15m["open"] * 100.0
    )

    # Performance logging
    # -----------------------------------------------------------------------------------------
    tok = time.perf_counter()
    log.debug(f"[{metadata['pair']}] informative_15m_indicators took: {tok - tik:0.4f} seconds.")

    return informative_15m

  # Coin Pair Base Timeframe Indicators
  # ---------------------------------------------------------------------------------------------
  def base_tf_5m_indicators(self, metadata: dict, df: DataFrame) -> DataFrame:
    tik = time.perf_counter()

    # Indicators
    # base_tf_5m_indicators_pandas_ta = pta.Strategy(
    #   name="base_tf_5m_indicators_pandas_ta",
    #   ta=[
    #     # RSI
    #     {"kind": "rsi", "length": 3},
    #     {"kind": "rsi", "length": 4},
    #     {"kind": "rsi", "length": 14},
    #     {"kind": "rsi", "length": 20},
    #     # EMA
    #     {"kind": "ema", "length": 3},
    #     {"kind": "ema", "length": 9},
    #     {"kind": "ema", "length": 12},
    #     {"kind": "ema", "length": 16},
    #     {"kind": "ema", "length": 20},
    #     {"kind": "ema", "length": 26},
    #     {"kind": "ema", "length": 50},
    #     {"kind": "ema", "length": 100},
    #     {"kind": "ema", "length": 200},
    #     # SMA
    #     {"kind": "sma", "length": 16},
    #     {"kind": "sma", "length": 30},
    #     {"kind": "sma", "length": 75},
    #     {"kind": "sma", "length": 200},
    #     # BB 20 - STD2
    #     {"kind": "bbands", "length": 20},
    #     # BB 40 - STD2
    #     {"kind": "bbands", "length": 40},
    #     # Williams %R
    #     {"kind": "willr", "length": 14},
    #     {"kind": "willr", "length": 480},
    #     # CTI
    #     {"kind": "cti", "length": 20},
    #     # MFI
    #     {"kind": "mfi"},
    #     # CMF
    #     {"kind": "cmf"},
    #     # CCI
    #     {"kind": "cci", "length": 20},
    #     # Hull Moving Average
    #     {"kind": "hma", "length": 55},
    #     {"kind": "hma", "length": 70},
    #     # ZL MA
    #     # {"kind": "zlma", "length": 50, "mamode":"linreg"},
    #     # Heiken Ashi
    #     # {"kind": "ha"},
    #     # STOCHRSI
    #     {"kind": "stochrsi"},
    #     # KST
    #     {"kind": "kst"},
    #     # ROC
    #     {"kind": "roc"},
    #     # AROON
    #     {"kind": "aroon"},
    #     # UO
    #     {"kind": "uo"},
    #     # AO
    #     {"kind": "ao"},
    #     # OBV
    #     {"kind": "obv"},
    #   ],
    # )
    # df.ta.study(base_tf_5m_indicators_pandas_ta, cores=self.num_cores_indicators_calc)
    # RSI
    df["RSI_3"] = pta.rsi(df["close"], length=3)
    df["RSI_4"] = pta.rsi(df["close"], length=4)
    df["RSI_14"] = pta.rsi(df["close"], length=14)
    df["RSI_20"] = pta.rsi(df["close"], length=20)
    df["RSI_3_change_pct"] = df["RSI_3"].pct_change() * 100.0
    df["RSI_14_change_pct"] = df["RSI_14"].pct_change() * 100.0
    # EMA
    df["EMA_3"] = pta.ema(df["close"], length=3)
    df["EMA_9"] = pta.ema(df["close"], length=9)
    df["EMA_12"] = pta.ema(df["close"], length=12)
    df["EMA_16"] = pta.ema(df["close"], length=16)
    df["EMA_20"] = pta.ema(df["close"], length=20)
    df["EMA_26"] = pta.ema(df["close"], length=26)
    df["EMA_50"] = pta.ema(df["close"], length=50)
    df["EMA_100"] = pta.ema(df["close"], length=100, fillna=0.0)
    df["EMA_200"] = pta.ema(df["close"], length=200, fillna=0.0)
    # SMA
    df["SMA_9"] = pta.sma(df["close"], length=9)
    df["SMA_16"] = pta.sma(df["close"], length=16)
    df["SMA_21"] = pta.sma(df["close"], length=21)
    df["SMA_30"] = pta.sma(df["close"], length=30)
    df["SMA_200"] = pta.sma(df["close"], length=200)
    # BB 20 - STD2
    bbands_20_2 = pta.bbands(df["close"], length=20)
    df["BBL_20_2.0"] = bbands_20_2["BBL_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan
    df["BBM_20_2.0"] = bbands_20_2["BBM_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan
    df["BBU_20_2.0"] = bbands_20_2["BBU_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan
    df["BBB_20_2.0"] = bbands_20_2["BBB_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan
    df["BBP_20_2.0"] = bbands_20_2["BBP_20_2.0"] if isinstance(bbands_20_2, pd.DataFrame) else np.nan
    # BB 40 - STD2
    upper, middle, lower = ta.BBANDS(df["close"], timeperiod=40, nbdevup=2.0, nbdevdn=2.0, matype=0)
    df["BBL_40_2.0"] = lower
    df["BBM_40_2.0"] = middle
    df["BBU_40_2.0"] = upper
    df["BBB_40_2.0"] = (upper - lower) / middle * 100.0  # Bandwidth
    df["BBP_40_2.0"] = (df["close"] - lower) / (upper - lower)  # %B
    df["BBD_40_2.0"] = (df["BBM_40_2.0"] - df["BBL_40_2.0"]).abs()  # delta
    df["BBT_40_2.0"] = (df["close"] - df["BBL_40_2.0"]).abs()  # tail
    # MFI
    df["MFI_14"] = pta.mfi(df["high"], df["low"], df["close"], df["volume"], length=14)
    # CMF
    df["CMF_20"] = pta.cmf(df["high"], df["low"], df["close"], df["volume"], length=20)
    # Williams %R
    df["WILLR_14"] = pta.willr(df["high"], df["low"], df["close"], length=14)
    df["WILLR_480"] = pta.willr(df["high"], df["low"], df["close"], length=480)
    # AROON
    aroon_14 = pta.aroon(df["high"], df["low"], length=14)
    df["AROONU_14"] = aroon_14["AROONU_14"] if isinstance(aroon_14, pd.DataFrame) else np.nan
    df["AROOND_14"] = aroon_14["AROOND_14"] if isinstance(aroon_14, pd.DataFrame) else np.nan
    # Stochastic RSI
    stochrsi = pta.stochrsi(df["close"])
    df["STOCHRSIk_14_14_3_3"] = stochrsi["STOCHRSIk_14_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan
    df["STOCHRSId_14_14_3_3"] = stochrsi["STOCHRSId_14_14_3_3"] if isinstance(stochrsi, pd.DataFrame) else np.nan
    # KST
    kst = pta.kst(df["close"])
    df["KST_10_15_20_30_10_10_10_15"] = kst["KST_10_15_20_30_10_10_10_15"] if isinstance(kst, pd.DataFrame) else np.nan
    df["KSTs_9"] = kst["KSTs_9"] if isinstance(kst, pd.DataFrame) else np.nan
    # OBV
    df["OBV"] = pta.obv(df["close"], df["volume"])
    df["OBV_change_pct"] = df["OBV"].pct_change() * 100.0
    # ROC
    df["ROC_2"] = pta.roc(df["close"], length=2)
    df["ROC_9"] = pta.roc(df["close"], length=9)
    # Candle change
    df["change_pct"] = (df["close"] - df["open"]) / df["open"] * 100.0
    # Close delta
    df["close_delta"] = (df["close"] - df["close"].shift()).abs()
    # Close max
    df["close_max_6"] = df["close"].rolling(6).max()
    df["close_max_12"] = df["close"].rolling(12).max()
    df["close_max_48"] = df["close"].rolling(48).max()
    # Close min
    df["close_min_6"] = df["close"].rolling(6).min()
    df["close_min_12"] = df["close"].rolling(12).min()
    df["close_min_48"] = df["close"].rolling(48).min()
    # Number of empty candles
    df["num_empty_288"] = (df["volume"] <= 0).rolling(window=288, min_periods=288).sum()

    # -----------------------------------------------------------------------------------------

    # Global protections
    # -----------------------------------------------------------------------------------------
    if not self.config["runmode"].value in ("live", "dry_run"):
      # Backtest age filter
      df["bt_agefilter_ok"] = False
      df.loc[df.index > (12 * 24 * self.bt_min_age_days), "bt_agefilter_ok"] = True
    else:
      # Exchange downtime protection
      df["live_data_ok"] = df["volume"].rolling(window=72, min_periods=72).min() > 0

    # Performance logging
    # -----------------------------------------------------------------------------------------
    tok = time.perf_counter()
    log.debug(f"[{metadata['pair']}] base_tf_5m_indicators took: {tok - tik:0.4f} seconds.")

    return df

  # Coin Pair Indicator Switch Case
  # ---------------------------------------------------------------------------------------------
  def info_switcher(self, metadata: dict, info_timeframe) -> DataFrame:
    if info_timeframe == "1d":
      return self.informative_1d_indicators(metadata, info_timeframe)
    elif info_timeframe == "4h":
      return self.informative_4h_indicators(metadata, info_timeframe)
    elif info_timeframe == "1h":
      return self.informative_1h_indicators(metadata, info_timeframe)
    elif info_timeframe == "15m":
      return self.informative_15m_indicators(metadata, info_timeframe)
    else:
      raise RuntimeError(f"{info_timeframe} not supported as informative timeframe for BTC pair.")

  # BTC 1D Indicators
  # ---------------------------------------------------------------------------------------------
  def btc_info_1d_indicators(self, btc_info_pair, btc_info_timeframe, metadata: dict) -> DataFrame:
    tik = time.perf_counter()
    btc_info_1d = self.dp.get_pair_dataframe(btc_info_pair, btc_info_timeframe)
    # Indicators
    # -----------------------------------------------------------------------------------------
    # btc_info_1d_indicators_pandas_ta = pta.Strategy(
    #   name="btc_info_1d_indicators_pandas_ta",
    #   ta=[
    #     # RSI
    #     # {"kind": "rsi", "length": 3},
    #     {"kind": "rsi", "length": 14},
    #     # {"kind": "rsi", "length": 20},
    #     # EMA
    #     # {"kind": "ema", "length": 12},
    #     # {"kind": "ema", "length": 16},
    #     # {"kind": "ema", "length": 20},
    #     # {"kind": "ema", "length": 26},
    #     # {"kind": "ema", "length": 50},
    #     # {"kind": "ema", "length": 100},
    #     # {"kind": "ema", "length": 200},
    #     # SMA
    #     # {"kind": "sma", "length": 16},
    #   ],
    # )
    # btc_info_1d.ta.study(btc_info_1d_indicators_pandas_ta, cores=self.num_cores_indicators_calc)

    # Add prefix
    # -----------------------------------------------------------------------------------------
    ignore_columns = ["date"]
    btc_info_1d.rename(columns=lambda s: f"btc_{s}" if s not in ignore_columns else s, inplace=True)

    tok = time.perf_counter()
    log.debug(f"[{metadata['pair']}] btc_info_1d_indicators took: {tok - tik:0.4f} seconds.")

    return btc_info_1d

  # BTC 4h Indicators
  # ---------------------------------------------------------------------------------------------
  def btc_info_4h_indicators(self, btc_info_pair, btc_info_timeframe, metadata: dict) -> DataFrame:
    tik = time.perf_counter()
    btc_info_4h = self.dp.get_pair_dataframe(btc_info_pair, btc_info_timeframe)
    # Indicators
    # -----------------------------------------------------------------------------------------

    # Add prefix
    # -----------------------------------------------------------------------------------------
    ignore_columns = ["date"]
    btc_info_4h.rename(columns=lambda s: f"btc_{s}" if s not in ignore_columns else s, inplace=True)

    tok = time.perf_counter()
    log.debug(f"[{metadata['pair']}] btc_info_4h_indicators took: {tok - tik:0.4f} seconds.")

    return btc_info_4h

  # BTC 1h Indicators
  # ---------------------------------------------------------------------------------------------
  def btc_info_1h_indicators(self, btc_info_pair, btc_info_timeframe, metadata: dict) -> DataFrame:
    tik = time.perf_counter()
    btc_info_1h = self.dp.get_pair_dataframe(btc_info_pair, btc_info_timeframe)
    # Indicators
    # -----------------------------------------------------------------------------------------

    # Add prefix
    # -----------------------------------------------------------------------------------------
    ignore_columns = ["date"]
    btc_info_1h.rename(columns=lambda s: f"btc_{s}" if s not in ignore_columns else s, inplace=True)

    tok = time.perf_counter()
    log.debug(f"[{metadata['pair']}] btc_info_1h_indicators took: {tok - tik:0.4f} seconds.")

    return btc_info_1h

  # BTC 15m Indicators
  # ---------------------------------------------------------------------------------------------
  def btc_info_15m_indicators(self, btc_info_pair, btc_info_timeframe, metadata: dict) -> DataFrame:
    tik = time.perf_counter()
    btc_info_15m = self.dp.get_pair_dataframe(btc_info_pair, btc_info_timeframe)
    # Indicators
    # -----------------------------------------------------------------------------------------

    # Add prefix
    # -----------------------------------------------------------------------------------------
    ignore_columns = ["date"]
    btc_info_15m.rename(columns=lambda s: f"btc_{s}" if s not in ignore_columns else s, inplace=True)

    tok = time.perf_counter()
    log.debug(f"[{metadata['pair']}] btc_info_15m_indicators took: {tok - tik:0.4f} seconds.")

    return btc_info_15m

  # BTC 5m Indicators
  # ---------------------------------------------------------------------------------------------
  def btc_info_5m_indicators(self, btc_info_pair, btc_info_timeframe, metadata: dict) -> DataFrame:
    tik = time.perf_counter()
    btc_info_5m = self.dp.get_pair_dataframe(btc_info_pair, btc_info_timeframe)
    # Indicators
    # -----------------------------------------------------------------------------------------

    # Add prefix
    # -----------------------------------------------------------------------------------------
    ignore_columns = ["date"]
    btc_info_5m.rename(columns=lambda s: f"btc_{s}" if s not in ignore_columns else s, inplace=True)

    tok = time.perf_counter()
    log.debug(f"[{metadata['pair']}] btc_info_5m_indicators took: {tok - tik:0.4f} seconds.")

    return btc_info_5m

  # BTC Indicator Switch Case
  # ---------------------------------------------------------------------------------------------
  def btc_info_switcher(self, btc_info_pair, btc_info_timeframe, metadata: dict) -> DataFrame:
    if btc_info_timeframe == "1d":
      return self.btc_info_1d_indicators(btc_info_pair, btc_info_timeframe, metadata)
    elif btc_info_timeframe == "4h":
      return self.btc_info_4h_indicators(btc_info_pair, btc_info_timeframe, metadata)
    elif btc_info_timeframe == "1h":
      return self.btc_info_1h_indicators(btc_info_pair, btc_info_timeframe, metadata)
    elif btc_info_timeframe == "15m":
      return self.btc_info_15m_indicators(btc_info_pair, btc_info_timeframe, metadata)
    elif btc_info_timeframe == "5m":
      return self.btc_info_5m_indicators(btc_info_pair, btc_info_timeframe, metadata)
    else:
      raise RuntimeError(f"{btc_info_timeframe} not supported as informative timeframe for BTC pair.")

  # Populate Indicators
  # ---------------------------------------------------------------------------------------------
  def populate_indicators(self, df: DataFrame, metadata: dict) -> DataFrame:
    tik = time.perf_counter()
    """
        --> BTC informative indicators
        ___________________________________________________________________________________________
        """
    if self.config["stake_currency"] in [
      "USDT",
      "BUSD",
      "USDC",
      "DAI",
      "TUSD",
      "FDUSD",
      "PAX",
      "USD",
      "EUR",
      "GBP",
      "TRY",
    ]:
      if ("trading_mode" in self.config) and (self.config["trading_mode"] in ["futures", "margin"]):
        btc_info_pair = f"BTC/{self.config['stake_currency']}:{self.config['stake_currency']}"
      else:
        btc_info_pair = f"BTC/{self.config['stake_currency']}"
    else:
      if ("trading_mode" in self.config) and (self.config["trading_mode"] in ["futures", "margin"]):
        btc_info_pair = "BTC/USDT:USDT"
      else:
        btc_info_pair = "BTC/USDT"

    for btc_info_timeframe in self.btc_info_timeframes:
      btc_informative = self.btc_info_switcher(btc_info_pair, btc_info_timeframe, metadata)
      df = merge_informative_pair(df, btc_informative, self.timeframe, btc_info_timeframe, ffill=True)
      # Customize what we drop - in case we need to maintain some BTC informative ohlcv data
      # Default drop all
      drop_columns = {
        "1d": [f"btc_{s}_{btc_info_timeframe}" for s in ["date", "open", "high", "low", "close", "volume"]],
        "4h": [f"btc_{s}_{btc_info_timeframe}" for s in ["date", "open", "high", "low", "close", "volume"]],
        "1h": [f"btc_{s}_{btc_info_timeframe}" for s in ["date", "open", "high", "low", "close", "volume"]],
        "15m": [f"btc_{s}_{btc_info_timeframe}" for s in ["date", "open", "high", "low", "close", "volume"]],
        "5m": [f"btc_{s}_{btc_info_timeframe}" for s in ["date", "open", "high", "low", "close", "volume"]],
      }.get(
        btc_info_timeframe,
        [f"{s}_{btc_info_timeframe}" for s in ["date", "open", "high", "low", "close", "volume"]],
      )
      drop_columns.append(f"date_{btc_info_timeframe}")
      df.drop(columns=df.columns.intersection(drop_columns), inplace=True)

    """
        --> Indicators on informative timeframes
        ___________________________________________________________________________________________
        """
    for info_timeframe in self.info_timeframes:
      info_indicators = self.info_switcher(metadata, info_timeframe)
      df = merge_informative_pair(df, info_indicators, self.timeframe, info_timeframe, ffill=True)
      # Customize what we drop - in case we need to maintain some informative timeframe ohlcv data
      # Default drop all except base timeframe ohlcv data
      drop_columns = {
        "1d": [f"{s}_{info_timeframe}" for s in ["date", "open", "high", "low", "close", "volume"]],
        "4h": [f"{s}_{info_timeframe}" for s in ["date", "open", "high", "low", "close", "volume"]],
        "1h": [f"{s}_{info_timeframe}" for s in ["date", "open", "high", "low", "close", "volume"]],
        "15m": [f"{s}_{info_timeframe}" for s in ["date", "high", "low", "volume"]],
      }.get(info_timeframe, [f"{s}_{info_timeframe}" for s in ["date", "open", "high", "low", "close", "volume"]])
      df.drop(columns=df.columns.intersection(drop_columns), inplace=True)

    """
        --> The indicators for the base timeframe  (5m)
        ___________________________________________________________________________________________
        """
    df = self.base_tf_5m_indicators(metadata, df)

    # df["zlma_50_1h"] = df["zlma_50_1h"].astype(np.float64).replace(to_replace=[np.nan, None], value=(0.0))
    # df["CTI_20_1d"] = df["CTI_20_1d"].astype(np.float64).replace(to_replace=[np.nan, None], value=(0.0))
    # df["WILLR_480_1h"] = df["WILLR_480_1h"].astype(np.float64).replace(to_replace=[np.nan, None], value=(-50.0))
    # df["WILLR_480_4h"] = df["WILLR_480_4h"].astype(np.float64).replace(to_replace=[np.nan, None], value=(-50.0))
    # df["RSI_14_1d"] = df["RSI_14_1d"].astype(np.float64).replace(to_replace=[np.nan, None], value=(50.0))
    df["RSI_14_1h"] = df["RSI_14_1h"].astype(np.float64).replace(to_replace=[np.nan, None], value=(50.0))

    # Global protections Long
    df["protections_long_global"] = (
      # 5m & 15m & 1h & 4h & 1d down move, 1h & 4h & 1d still not low enough
      (
        (df["RSI_3"] > 1.0)
        | (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 20.0)
        | (df["RSI_3_1d"] > 20.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["RSI_14_1d"] < 30.0)
        | (df["CCI_20_1h"] < -250.0)
        | (df["CCI_20_4h"] < -200.0)
      )
      # 5m & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d still high
      & (
        (df["RSI_3"] > 1.0)
        | (df["RSI_3_4h"] > 10.0)
        | (df["RSI_3_1d"] > 35.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0)
      )
      # 5m down move, 15m & 1h & 4h still high, 15m high
      & (
        (df["RSI_3"] > 3.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 70.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0)
      )
      # 1h & 4h down move, 15m & 1h & 4h downtrend, 1h still high
      & (
        (df["RSI_3"] > 5.0)
        | (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["CMF_20_15m"] > -0.25)
        | (df["AROONU_14_4h"] < 60.0)
        | (df["ROC_9_1d"] < 80.0)
      )
      # 5m & 15m & 1h down move, 1h & 4h still high, 15m still high, 1h high
      & (
        (df["RSI_3"] > 5.0)
        | (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 40.0)
        | (df["AROONU_14_1h"] < 85.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)
      )
      # 5m & 15m & 1h & 4h down move, 4h high
      & (
        (df["RSI_3"] > 5.0)
        | (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
      )
      # 5m & 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 15m & 4h high
      & (
        (df["RSI_3"] > 5.0)
        | (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
      )
      # 5m & 15m & 4h down move, 15m & 1h & 4h still high, 15m & 1h still high
      & (
        (df["RSI_3"] > 5.0)
        | (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
      )
      # 5m & 4h & 1d down move, 15m high
      & (
        (df["RSI_3"] > 5.0)
        | (df["RSI_3_4h"] > 10.0)
        | (df["RSI_3_1d"] > 15.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0)
      )
      # 5m & 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h stil high, 15m & 4h high
      & (
        (df["RSI_3"] > 10.0)
        | (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
      )
      # 5m & 15m & 1h & 4h down move, 15m & 1h & 4h still high, 15m & 4h high
      & (
        (df["RSI_3"] > 10.0)
        | (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
      )
      # 5m & 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 15m high
      & (
        (df["RSI_3"] > 10.0)
        | (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 60.0)
      )
      # 5m & 15m & 1h down move, 15m & 1h still high, 4h high, 15m still not low enough, 5h overbought
      & (
        (df["RSI_3"] > 10.0)
        | (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_1h"] < 20.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
        | (df["ROC_9_4h"] < 80.0)
      )
      # 5m & 15m & 1h & 1d down move, 1h & 4h still high, 1d downtrend
      & (
        (df["RSI_3"] > 10.0)
        | (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 65.0)
        | (df["RSI_3_1d"] > 25.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_1d"] > -0.20)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
        | (df["ROC_9_1d"] > -15.0)
      )
      # 5m & 15m & 4h down move, 15m & 1h still not low enough, 4h still high, 15m & 4h high
      & (
        (df["RSI_3"] > 10.0)
        | (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_4h"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 60.0)
      )
      # 5m & 15m & 1h down move, 15m still not low enough, 1h still high, 4h high, 15m & 4h high
      & (
        (df["RSI_3"] > 10.0)
        | (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_4h"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
      )
      # 5m & 15m & 1h down move, 15m still high, 1h & 4h high, 4h high & overbought
      & (
        (df["RSI_3"] > 15.0)
        | (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 60.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 60.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_15m"] < 40.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
        | (df["ROC_9_4h"] < 30.0)
      )
      # 15m & 1h & 4h down move, 1h still high, 15m & 1h downtrend
      & (
        (df["RSI_3_15m"] > 3.0)
        | (df["RSI_3_1h"] > 3.0)
        | (df["RSI_3_4h"] > 20.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["ROC_9_15m"] > -10.0)
        | (df["ROC_9_1h"] > -15.0)
      )
      # 15m & 1h & 4h down move, 15m downtrend, 1h still high, 4h still not low enough
      & (
        (df["RSI_3_15m"] > 3.0)
        | (df["RSI_3_1h"] > 5.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
      )
      # 15m & 1h & 4h down move, 15m downtrend, 1h & 4h still not low enough
      & (
        (df["RSI_3_15m"] > 3.0)
        | (df["RSI_3_1h"] > 10.0)
        | (df["RSI_3_4h"] > 15.0)
        | (df["CMF_20_15m"] > -0.30)
        | (df["AROONU_14_1h"] < 20.0)
        | (df["AROONU_14_4h"] < 20.0)
      )
      # 15m & 1h & 4h down move, 15m downtrend, 15m & 1h still not low enough
      & (
        (df["RSI_3_15m"] > 3.0)
        | (df["RSI_3_1h"] > 10.0)
        | (df["RSI_3_4h"] > 15.0)
        | (df["CMF_20_15m"] > -0.30)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0)
      )
      # 15m & 1h & 4h down move, 1h & 4h still high, 15m downtrend, 4h overbought
      & (
        (df["RSI_3_15m"] > 3.0)
        | (df["RSI_3_1h"] > 10.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["ROC_9_4h"] < 15.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h downtrend, 1h & 4h still not low enough
      & (
        (df["RSI_3_15m"] > 3.0)
        | (df["RSI_3_1h"] > 10.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["CMF_20_1h"] > -0.20)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
      )
      # 15m & 1h & 4h down move, 4h still high, 1h downtrend, 4h still high
      & (
        (df["RSI_3_15m"] > 3.0)
        | (df["RSI_3_1h"] > 10.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_1h"] > -0.30)
        | (df["AROONU_14_4h"] < 40.0)
      )
      # 15m & 1h & 4h down move, 1h & 4h still not low enough, 15m downtrend
      & (
        (df["RSI_3_15m"] > 3.0)
        | (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_15m"] > -0.25)
        | (df["AROONU_14_4h"] < 25.0)
      )
      # 15m & 1h & 4h down move, 1h & 4h still not low enough, 15m still not low enough
      & (
        (df["RSI_3_15m"] > 3.0)
        | (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["AROONU_14_15m"] < 25.0)
      )
      # 15m & 1h & 4h down move, 1h & 4h still not low enough, 15m & 1h & 4h downtrend, 1h still not low enough
      & (
        (df["RSI_3_15m"] > 3.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 20.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 20.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["CMF_20_1h"] > -0.25)
        | (df["CMF_20_4h"] > -0.25)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0)
      )
      # 15m & 1h & 4h & 1d down move, 1h still high, 1h & 4h still not low enough
      & (
        (df["RSI_3_15m"] > 3.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_3_1d"] > 50.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["CCI_20_1h"] < -250.0)
        | (df["CCI_20_4h"] < -250.0)
      )
      # 15m & 1h & 4h down move, 4h downtrend, 15m & 1h still not low enough
      & (
        (df["RSI_3_15m"] > 3.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["CMF_20_4h"] > -0.30)
        | (df["AROONU_14_15m"] < 20.0)
        | (df["AROONU_14_1h"] < 30.0)
      )
      # 15m & 4h down move, 15m & 1h & 4h still not low enough, 1h still not low enough
      & (
        (df["RSI_3_15m"] > 3.0)
        | (df["RSI_3_4h"] > 10.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0)
      )
      # 15m & 4h down move, 1h & 4h still high, 15m still not low enough, 1h still high
      & (
        (df["RSI_3_15m"] > 3.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 25.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
      )
      # 15m down move, 15m & 1h high
      & (
        (df["RSI_3_15m"] > 3.0)
        | (df["AROONU_14_15m"] < 70.0)
        | (df["AROONU_14_1h"] < 90.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h downtrend, 1h & 4h still not low enough, 4h downtrend
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 5.0)
        | (df["RSI_3_4h"] > 20.0)
        | (df["CMF_20_15m"] > -0.15)
        | (df["CMF_20_1h"] > -0.15)
        | (df["CMF_20_4h"] > -0.15)
        | (df["AROONU_14_1h"] < 20.0)
        | (df["AROONU_14_4h"] < 20.0)
        | (df["ROC_9_4h"] > -20.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h downtrend, 1h still high, 15m still not low enough, 15m & 1h downtrend
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 5.0)
        | (df["RSI_3_4h"] > 20.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["CMF_20_1h"] > -0.15)
        | (df["CMF_20_4h"] > -0.10)
        | (df["AROONU_14_1h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0)
        | (df["ROC_9_15m"] > -15.0)
        | (df["ROC_9_1h"] > -15.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h downtrend, 15m & 4h still not low enough
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 5.0)
        | (df["RSI_3_4h"] > 20.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["CMF_20_1h"] > -0.25)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h downtrend, 15m still not low enough
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 5.0)
        | (df["RSI_3_4h"] > 20.0)
        | (df["CMF_20_15m"] > -0.40)
        | (df["CMF_20_1h"] > -0.40)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
      )
      # 5m & 1h & 4h down move, 1h & 4h downtrend, 15m still high, 4h still not low enough
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 5.0)
        | (df["RSI_3_4h"] > 20.0)
        | (df["CMF_20_1h"] > -0.20)
        | (df["CMF_20_4h"] > -0.25)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 10.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m downtrend, 15m still not low enough, 1h downtrend
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 5.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_3_1d"] > 30.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0)
        | (df["ROC_9_1h"] > -10.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h downtrend, 15m still not low enough
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 5.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["CMF_20_15m"] > -0.30)
        | (df["CMF_20_1h"] > -0.30)
        | (df["CMF_20_4h"] > -0.30)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h downtrend, 15m still high
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 5.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["CMF_20_1h"] > -0.20)
        | (df["AROONU_14_15m"] < 50.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m downtrend, 1d overbought
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 5.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_3_1d"] > 40.0)
        | (df["CMF_20_15m"] > -0.30)
        | (df["ROC_9_1d"] < 100.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h downtrend, 15m & 4h still not low enough
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 5.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["CMF_20_15m"] > -0.15)
        | (df["CMF_20_1h"] > -0.15)
        | (df["CMF_20_4h"] > -0.20)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h downtrend, 1h still not low enugh, 4h still high
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 5.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["CMF_20_15m"] > -0.10)
        | (df["CMF_20_1h"] > -0.20)
        | (df["CMF_20_4h"] > -0.30)
        | (df["AROONU_14_1h"] < 30.0)
        | (df["AROONU_14_4h"] < 50.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h downtrend, 4h still high
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 5.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["CMF_20_15m"] > -0.25)
        | (df["CMF_20_1h"] > -0.40)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h downtrend, 1h still high
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 10.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["CMF_20_15m"] > -0.30)
        | (df["CMF_20_1h"] > -0.30)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m downtrend, 1h still high, 1h & 4h still not low enough, 4h overbought
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 10.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["RSI_3_1d"] > 55.0)
        | (df["CMF_20_15m"] > -0.30)
        | (df["AROONU_14_1h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0)
        | (df["ROC_9_4h"] < 10.0)
      )
      # 15m & 1h down move, 1h & 4h still not low enough, 4h high
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 10.0)
        | (df["AROONU_14_1h"] < 20.0)
        | (df["AROONU_14_4h"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)
      )
      # 15m & 1h & 4h down move, 1h & 4h still not low enough, 15m & 1h & 4h downtrend
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_15m"] > -0.25)
        | (df["CMF_20_1h"] > -0.25)
        | (df["CMF_20_4h"] > -0.15)
      )
      # 15m & 1h & 4h down move, 1h & 4h stil not low enough, 15m & 1h & 4h downtrend, 1h still high
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["CMF_20_1h"] > -0.20)
        | (df["CMF_20_4h"] > -0.20)
        | (df["AROONU_14_1h"] < 50.0)
      )
      # 15m & 1h & 4h down move, 1h & 4h still not low enough, 15m & 4h still not low enough, 15m & 4h still not low
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_15m"] > -0.10)
        | (df["CMF_20_4h"] > -0.20)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
      )
      # 15m & 1h & 4h down move, 1h & 4h still not low enough, 15m still high
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 50.0)
      )
      # 15m & 1h down move, 1h high, 4h high
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 15.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
      )
      # 15m & 1h & 4h down move, 1h still not low enough, 4h still high, 15m still not low enough, 1d high & overbought
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0)
        | (df["ROC_9_1d"] < 80.0)
      )
      # 15m & 1h & 4h down move, 15m downtrend, 1h still high, 15m still not low enough
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["CMF_20_15m"] > -0.30)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
      )
      # 15m & 1h down move, 1h & 4h high
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["AROONU_14_4h"] < 100.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m downtrend
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_3_1d"] > 5.0)
        | (df["CMF_20_15m"] > -0.40)
      )
      # 15m & 1h down move, 15m still not low enough, 1h still high, 4h high, 15m still high, 4h overbought
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["ROC_9_4h"] < 25.0)
      )
      # 15m & 1h & 4h down move, 15m downtrend, 4h high
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["CMF_20_15m"] > -0.30)
        | (df["AROONU_14_4h"] < 80.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 4h downtrend, 4h high
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_4h"] > -0.20)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
      )
      # 15m & 1h & 4h down move, 1h high, 4h downtrend
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["ROC_9_4h"] > -40.0)
      )
      # 15m & 1h & 4h down move, 1h & 4h still high, 15m downtrend
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_15m"] > -0.25)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h & 4h high, 1h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["ROC_9_4h"] < 10.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h still high, 1h & 4h still high, 15m still high
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_1h"] < 40.0)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
      )
      # 15m & 1h & 4h down move, 1h & 4h still high, 4h high
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
      )
      # 15m & 1h & 3h down move, 1h & 4h still not low enough, 15m downtrend, 1h still high
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_15m"] > -0.30)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
      )
      # 15m & 1h & 4h down move, 1h & 4h still high, 1d overbought
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["ROC_9_1d"] < 70.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 1h high, 1d overbought
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)
        | (df["ROC_9_1d"] < 60.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 15m still not low enough
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 60.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 10.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["AROONU_14_15m"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h & 4h high, 1h & 4h overbought
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 60.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 60.0)
        | (df["RSI_14_4h"] < 80.0)
        | (df["AROONU_14_1h"] < 75.0)
        | (df["AROONU_14_4h"] < 90.0)
        | (df["ROC_9_1h"] < 10.0)
        | (df["ROC_9_4h"] < 10.0)
      )
      # 15m & 1h & 4h down move, 1h & 4h still high, 15m downtrend, 1h still high
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 65.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_15m"] > -0.40)
        | (df["AROONU_14_1h"] < 50.0)
      )
      # 15m & 4h down move, 15m & 1h still not low enough, 4h still high, 1h & 4h still not low enough, 1d overbought
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_4h"] > 20.0)
        | (df["RSI_14_15m"] < 10.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_1h"] < 20.0)
        | (df["AROONU_14_4h"] < 20.0)
        | (df["ROC_9_1d"] < 20.0)
      )
      # 15m down move, 15m still not low enough, 1h & 4h high, 1h overbought
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 60.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_1h"] < 10.0)
      )
      # 15m down move, 15m still not low enough, 1h & 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 5.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 60.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)
        | (df["ROC_9_4h"] < 10.0)
      )
      # 15m & 1h & 4h down move, 1h & 4h still not low enough, 15m & 1h & 4h downtrend, 1h & 4h downtrend
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 10.0)
        | (df["RSI_3_4h"] > 10.0)
        | (df["RSI_14_1h"] < 10.0)
        | (df["RSI_14_4h"] < 20.0)
        | (df["CMF_20_15m"] > -0.15)
        | (df["CMF_20_1h"] > -0.15)
        | (df["CMF_20_4h"] > -0.15)
        | (df["ROC_9_1h"] > -20.0)
        | (df["ROC_9_4h"] > -20.0)
      )
      # 15m & 1h & 4h down move, 4h still high, 15m & 1h & 4h downtrend
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 10.0)
        | (df["RSI_3_4h"] > 15.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["CMF_20_1h"] > -0.20)
        | (df["CMF_20_4h"] > -0.20)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h downtrend, 4h still high
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 10.0)
        | (df["RSI_3_4h"] > 15.0)
        | (df["CMF_20_15m"] > -0.25)
        | (df["CMF_20_1h"] > -0.15)
        | (df["CMF_20_4h"] > -0.15)
        | (df["AROONU_14_4h"] < 40.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h downtrend, 15m still high
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 10.0)
        | (df["RSI_3_4h"] > 15.0)
        | (df["CMF_20_15m"] > -0.30)
        | (df["CMF_20_1h"] > -0.40)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
      )
      # 15m & 1h & 4h down move, 1h & 4h downtrend, 1h still high, 1h downtrend
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 10.0)
        | (df["RSI_3_4h"] > 15.0)
        | (df["CMF_20_1h"] > -0.30)
        | (df["CMF_20_4h"] > -0.30)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["ROC_9_1h"] > -15.0)
      )
      # 15m & 1h & 4h down move, 1h & 4h still not low enough, 15m still high
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 10.0)
        | (df["RSI_3_4h"] > 15.0)
        | (df["AROONU_14_1h"] < 30.0)
        | (df["AROONU_14_4h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h downtrend, 15m still high, 4h still not low enough
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 10.0)
        | (df["RSI_3_4h"] > 20.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["CMF_20_1h"] > -0.25)
        | (df["CMF_20_4h"] > -0.25)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0)
      )
      # 15m & 1h & 4h down move, 1h & 15m still high, 1h downtrend
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 10.0)
        | (df["RSI_3_4h"] > 20.0)
        | (df["AROONU_14_1h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["ROC_9_1h"] > -10.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h downtrend, 4h high
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 10.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["CMF_20_1h"] > -0.20)
        | (df["CMF_20_4h"] > -0.20)
        | (df["AROONU_14_4h"] < 70.0)
      )
      # 15m & 1h & 4h down move, 4h still not low enough, 1h still high, 4h high
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 10.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["AROONU_14_1h"] < 40.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 15m & 1h downtrend, 15m still not low enough
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 10.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_14_15m"] < 10.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["CMF_20_1h"] > -0.15)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 15m & 1h downtrend, 4h still high, 4h downtrend
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 10.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_15m"] > -0.15)
        | (df["CMF_20_1h"] > -0.25)
        | (df["AROONU_14_4h"] < 40.0)
        | (df["ROC_9_4h"] > -20.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h still high, 15m & 1h downtrend
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 10.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["ROC_9_15m"] > -10.0)
        | (df["ROC_9_1h"] > -20.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h still high, 1d overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 10.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["ROC_9_1d"] < 200.0)
      )
      # 15m & 1h down move, 1h still high, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 10.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 80.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
        | (df["ROC_9_4h"] < 80.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h still high, 4h overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_4h"] > 20.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["ROC_9_4h"] < 40.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 15m & 1h downtrend, 15m still not low enough
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_15m"] > -0.25)
        | (df["CMF_20_1h"] > -0.25)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 15m & 1h & 4h downtrend, 1h still not low enough
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_15m"] > -0.25)
        | (df["CMF_20_1h"] > -0.25)
        | (df["CMF_20_4h"] > -0.25)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0)
      )
      # 15m & 1h & 4h down move, 1h still not low enough, 4h high, 1d overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["ROC_9_1d"] < 200.0)
      )
      # 15m & 1h & 4h down move, 1h downtrend, 4h high
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_1h"] > -0.4)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
      )
      # 15m & 1h & 4h down move, 1h & 4h still not low enough, 1h & 4h downtrend, 15m & 1h & 4h still not low enough
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 20.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 20.0)
        | (df["CMF_20_1h"] > -0.15)
        | (df["CMF_20_4h"] > -0.20)
        | (df["AROONU_14_15m"] < 25.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h downtrend, 15m still high
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 20.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["CMF_20_1h"] > -0.30)
        | (df["CMF_20_4h"] > -0.30)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
      )
      # 15m & 1h & 4h down move, 1h still not low enough, 4h still high, 1h downtrend, 1d overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 20.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_1h"] > -0.25)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["CCI_20_1h"] < -200.0)
        | (df["CCI_20_4h"] < -0.0)
        | (df["ROC_9_1d"] < 30.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h high
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["AROONU_14_15m"] < 30.0)
        | (df["AROONU_14_1h"] < 60.0)
        | (df["AROONU_14_4h"] < 100.0)
      )
      # 15m & 1h & 4h & 1d down move, 1h still not low enough, 4h still high, 1d overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_3_1d"] > 45.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 4h overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
        | (df["ROC_9_4h"] < 10.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 1h high
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 30.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h stil high, 1h & 4h downtrend, 1h & 4h still not low
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_15m"] < 10.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_1h"] > -0.20)
        | (df["CMF_20_4h"] > -0.30)
        | (df["AROONU_14_1h"] < 30.0)
        | (df["AROONU_14_4h"] < 30.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h still not low enough, 1h & 4h still high, 1d overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
        | (df["ROC_9_1d"] < 100.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h still high, 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)
        | (df["ROC_9_4h"] < 25.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h & 4h high, 1h & 1d overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_4h"] < 10.0)
        | (df["ROC_9_1d"] < 20.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1h & 4h downtrend, 1h & 4h still high
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 20.0)
        | (df["CMF_20_1h"] > -0.15)
        | (df["CMF_20_4h"] > -0.20)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h still not low, 4h still high, 15m & 1h downtrend, 4h not low, 4h downtrend
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_15m"] > -0.10)
        | (df["CMF_20_1h"] > -0.20)
        | (df["AROONU_14_4h"] < 20.0)
        | (df["ROC_9_4h"] > -10.0)
      )
      # 15m & 1h & 4h down move, 1h & 4h not low enouhg, 15m downtrend, 4h high, 1d overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_15m"] > -0.30)
        | (df["AROONU_14_4h"] < 60.0)
        | (df["ROC_9_1d"] < 25.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m & 1h still not low enough, 4h still high. 1d high & overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_3_1d"] > 60.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_1d"] < 70.0)
        | (df["ROC_9_1d"] < 80.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h downtrend, 1h & 4h still not low enough, 1h & 4h downtrend
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["CMF_20_1h"] > -0.20)
        | (df["CMF_20_4h"] > -0.20)
        | (df["AROONU_14_1h"] < 25.0)
        | (df["AROONU_14_4h"] < 25.0)
        | (df["ROC_9_1h"] > -10.0)
        | (df["ROC_9_4h"] > -30.0)
      )
      # 15m & 1h & 1d down move, 1h still not low enough, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_1d"] > 25.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_1h"] < 40.0)
        | (df["AROONU_14_4h"] < 90.0)
        | (df["ROC_9_1h"] > -20.0)
        | (df["ROC_9_4h"] < 30.0)
      )
      # 15m & 1h & 1d down move, 15m still not low enough, 1h & 4h still high, 1h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_1d"] > 30.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 30.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["ROC_9_4h"] < 10.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h still high, 15m & 1h downtrend
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_15m"] > -0.30)
        | (df["CMF_20_1h"] > -0.25)
      )
      # 15m & 1h & 4h down move, 1h & 4h still high, 4h high, 4h & 1d overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_1h"] < 45.0)
        | (df["RSI_14_4h"] < 55.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["ROC_9_4h"] < 25.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 15m & 1h & 4h down move, 1h & 4h still high, 15m downtrend, 4h high
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_15m"] > -0.25)
        | (df["AROONU_14_4h"] < 80.0)
      )
      # 15m & 1h down move, 4h high, 1d downtrend, 1h still not low enough, 1d overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["CMF_20_1d"] > -0.3)
        | (df["AROONU_14_1h"] < 30.0)
        | (df["ROC_9_1d"] < 100.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m & 1h not low enough, 4h high
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_3_1d"] > 15.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 35.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 85.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m & 1 & 4h still not low enough, 1h still high, 4h high
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_3_1d"] > 35.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h still high, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["ROC_9_4h"] < 80.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 1h still high, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_4h"] < 25.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 15m & 1h & 4h downtrend, 1h still high
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_15m"] > -0.30)
        | (df["CMF_20_1h"] > -0.10)
        | (df["CMF_20_4h"] > -0.10)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1h & 4h still high, 1d downtrend
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["AROONU_14_15m"] < 10.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
        | (df["ROC_9_1d"] > -50.0)
      )
      # 15m & 1h down move, 4h still high, 15m downtrend, 1h & 1d high
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_15m"] > -0.3)
        | (df["AROONU_14_1h"] < 60.0)
        | (df["AROONU_14_1d"] < 90.0)
        | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0)
      )
      # 15m & 1h down move, 15m & 1h still high, 1h & 4h high, 1d overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 1h & 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_4h"] < 25.0)
      )
      # 15m & 1h & 4h down move, 1h & 4h sitll high, 15m & 1h & 4h downtrend, 1h & 4h still high
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["CMF_20_1h"] > -0.20)
        | (df["CMF_20_4h"] > -0.25)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0)
      )
      # 15m & 1h & 4h down move, 15m stil not low enough, 1h & 4h still high, 15m & 4h still high, 1d overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["ROC_9_1d"] < 200.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 1h & 4h downtrend, 1h high
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_1h"] > -0.10)
        | (df["CMF_20_4h"] > -0.25)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)
      )
      # 15m & 1h & 4h down move, 1h & 4h still not low enough, 15m & 4h downtrend, 1h & 4h still high
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_15m"] > -0.40)
        | (df["CMF_20_4h"] > -0.20)
        | (df["AROONU_14_1h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 14h & 1d overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["ROC_9_4h"] < 20.0)
        | (df["ROC_9_1d"] < 80.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h & 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_15m"] < 20.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_4h"] < 30.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h & 4h high & overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 70.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_1h"] < 60.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_1h"] < 20.0)
        | (df["ROC_9_4h"] < 50.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 1h & 4h downtrend, 4h high, 1h overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_1h"] > -0.10)
        | (df["CMF_20_4h"] > -0.10)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["ROC_9_1h"] < 10.0)
      )
      # 15m & 1h & 4h down move, 1h & 4h downtrend, 15m still high, 1h high
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["CMF_20_1h"] > -0.0)
        | (df["CMF_20_4h"] > -0.4)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 1d overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_1h"] < 40.0)
        | (df["AROONU_14_4h"] < 40.0)
        | (df["ROC_9_1d"] < 200.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h & 4h still high, 15m & 4h high, 4h & 1d overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["ROC_9_4h"] < 10.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 15m & 1h down move, 15m & 1h still high, 4h high, 15m still not low enough, 1h & 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_15m"] < 10.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["AROONU_14_4h"] < 60.0)
        | (df["ROC_9_4h"] < 40.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1h & 4h downtrend, 15m & 1h high
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 60.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_1h"] > -0.0)
        | (df["CMF_20_4h"] > -0.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
      )
      # 15m & 1h down move, 15m & 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 65.0)
        | (df["AROONU_14_15m"] < 80.0)
        | (df["AROONU_14_4h"] < 85.0)
        | (df["ROC_9_4h"] < 100.0)
      )
      # 15m & 1h down move, 15m & 1h & 4h still high, 1h & 4h high, 1h & 4h overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 65.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_1h"] < 20.0)
        | (df["ROC_9_4h"] < 30.0)
      )
      # 15m & 4h & 1d down move, 15m high, 15m & 4h still high
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_4h"] > 15.0)
        | (df["RSI_3_1d"] > 20.0)
        | (df["AROONU_14_15m"] < 70.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
      )
      # 15m & 4h & 1d down move, 15m & 1h still not low enough, 1h still high, 4h & 1d downtrend
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_4h"] > 20.0)
        | (df["RSI_3_1d"] > 20.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
        | (df["ROC_9_4h"] > -25.0)
        | (df["ROC_9_1d"] > -50.0)
      )
      # 15m & 4h down move, 1h & 4h stil high, 15m high, 4h overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 70.0)
        | (df["ROC_9_4h"] < 30.0)
      )
      # 15m down move, 15m still not low enough, 1h & 4h high & overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 70.0)
        | (df["RSI_14_4h"] < 80.0)
        | (df["AROONU_14_1h"] < 85.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_1h"] < 30.0)
        | (df["ROC_9_4h"] < 80.0)
      )
      # 15m down move, 15m & 1h & 4h still high, 15m still high, 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
        | (df["ROC_9_4h"] < 40.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1h & 4h downtrend
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_4h"] > 15.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 20.0)
        | (df["ROC_9_1h"] > -20.0)
        | (df["ROC_9_4h"] > -35.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1h high, 15m still not low enough
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_4h"] > 15.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0)
      )
      # 15m & 1h & 4h & 1d down move, 1h & 4h still not low enough, 1h & 4h downtrend, 4h still high
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_3_1d"] > 25.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_1h"] > -0.10)
        | (df["CMF_20_4h"] > -0.10)
        | (df["AROONU_14_4h"] < 40.0)
        | (df["ROC_9_4h"] > -20.0)
      )
      # 15m & 1h & 4h & 1d down move, 1h still not low enough, 4h still high, 4h downtrend, 1h still not low enough
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_3_1d"] > 50.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_4h"] > -0.30)
        | (df["AROONU_14_1h"] < 20.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m downtrend, 15m & 4h high, 1d downtrend
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_3_1d"] > 50.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["ROC_9_1d"] > -40.0)
      )
      # 15m & 1h & 4h & 1d down move, 4h still not low enough, 15m & 1h & 4h downtrend
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["RSI_3_1d"] > 40.0)
        | (df["RSI_14_15m"] > 20.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_15m"] > -0.25)
        | (df["CMF_20_1h"] > -0.20)
        | (df["CMF_20_4h"] > -0.0)
        | (df["AROONU_14_4h"] < 20.0)
      )
      # 15m & 1h & 4h down move, 1h still not low enough, 4h high, 1h downtrend
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 45.0)
        | (df["AROONU_14_1h"] < 40.0)
        | (df["AROONU_14_4h"] < 90.0)
        | (df["ROC_9_1h"] > -30.0)
      )
      # 15m & 1h & 4h down move, 4h high, 1d overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["ROC_9_1d"] < 150.0)
      )
      # 15m & 1h down move, 15m & 1h still not low enough, 4h still high, 4h high
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 15.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 30.0)
        | (df["AROONU_14_1h"] < 30.0)
        | (df["AROONU_14_4h"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h still high, 4h high. 4h overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 15.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["ROC_9_4h"] < 50.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h still high, 15m downtrend
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_15m"] > -0.50)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 15m high, 1h still high
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h still high, 15m downtrend, 4h high, 1h downtrend
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_15m"] > -0.30)
        | (df["AROONU_14_4h"] < 60.0)
        | (df["ROC_9_1h"] > -10.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 1h & 4h high
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_1h"] < 60.0)
        | (df["AROONU_14_4h"] < 85.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h still high, 1h & 4h downtrend, 1h high
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_1h"] > -0.40)
        | (df["CMF_20_4h"] > -0.10)
        | (df["AROONU_14_1h"] < 70.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h & 4h still high, 15m downtrend, 1h still high, 4h high
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_15m"] > -0.25)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m still not low enough, 1h & 4h still high, 4h high, 1d overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_3_1d"] > 60.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
        | (df["ROC_9_1d"] < 30.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 1d overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["ROC_9_1d"] < 80.0)
      )
      # 15m & 1h & 1d down move, 15m & 1h still not low enough, 4h high, 1d downtrend, 4h overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_1d"] > 25.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_4h"] < 85.0)
        | (df["ROC_9_1h"] > -10.0)
        | (df["ROC_9_4h"] < 30.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h still high, 4h high, 1h & 4h downtrend
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["CMF_20_1h"] > -0.10)
        | (df["CMF_20_4h"] > -0.10)
      )
      # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 15m still high 4h & 1d downtrend
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_3_1d"] > 30.0)
        | (df["RSI_14_15m"] < 25.0)
        | (df["RSI_14_1h"] < 25.0)
        | (df["RSI_14_4h"] < 25.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["ROC_9_4h"] > -15.0)
        | (df["ROC_9_1d"] > -15.0)
      )
      # 15m & 1h & 4h down move, 15m downtrend, 15m & 1h still not low enough, 1h & 4h downtrend
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0)
        | (df["ROC_9_1h"] > -10.0)
        | (df["ROC_9_4h"] > -15.0)
      )
      # 15m & 1h & 4h down move, 1h still high, 4h high, 4h & 1d overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_1h"] < 35.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["ROC_9_4h"] < 25.0)
        | (df["ROC_9_1d"] < 100.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 15m & 4h still high, 4h & 1d overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["ROC_9_4h"] < 25.0)
        | (df["ROC_9_1d"] < 30.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 4h overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 45.0)
        | (df["ROC_9_4h"] < 70.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 4h overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 20.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["ROC_9_4h"] < 10.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h still high, 4h high, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_1h"] < 30.0)
        | (df["AROONU_14_4h"] < 85.0)
        | (df["ROC_9_4h"] < 15.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h still high, 4h high, 1d downtrend, 4h overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["CMF_20_1d"] > -0.10)
        | (df["AROONU_14_15m"] < 20.0)
        | (df["AROONU_14_1h"] < 20.0)
        | (df["AROONU_14_4h"] < 85.0)
        | (df["ROC_9_4h"] < 20.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h still high, 4h high
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_1h"] < 60.0)
        | (df["AROONU_14_4h"] < 100.0)
      )
      # 15m & 1h down move, 15m still high, 1h & dh high, 1d overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 1d high, 4h downtrend
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["RSI_3_1d"] > 40.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["RSI_14_1d"] < 40.0)
        | (df["AROONU_14_1d"] < 70.0)
        | (df["ROC_9_4h"] > -40.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 4h high, 1d downtrend, 4h overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["ROC_9_1h"] > -20.0)
        | (df["ROC_9_4h"] < 10.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h high & overbought, 1d overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["ROC_9_4h"] < 20.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 1h & 4h high
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["AROONU_14_4h"] < 85.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 1h high, 1d downtrend
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["ROC_9_1d"] > -20.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h still high, 1h & 4h high, 1h & 4h overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_1h"] < 20.0)
        | (df["ROC_9_4h"] < 40.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h & 4h still high, 1d downtrend, 1h & 4h high, 1d overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_1d"] > -0.1)
        | (df["AROONU_14_1h"] < 60.0)
        | (df["AROONU_14_4h"] < 90.0)
        | (df["ROC_9_1d"] < 20.0)
      )
      # 15m & 1h down move, 15m & 1h still high, 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_15m"] < 40.0)
        | (df["AROONU_14_1h"] < 40.0)
        | (df["AROONU_14_4h"] < 85.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 85.0)
        | (df["ROC_9_4h"] < 10.0)
      )
      # 15m & 1h & 4h & 1d down move, 1h still high, 4h still not low enough, 4h downtrend
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 20.0)
        | (df["RSI_3_1d"] > 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["CCI_20_1h"] < -250.0)
        | (df["CCI_20_4h"] < -250.0)
        | (df["ROC_9_4h"] > -15.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h downtrend, 1h & 4h still not low enough, 1d downtrend
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_3_1d"] > 30.0)
        | (df["RSI_14_1h"] < 35.0)
        | (df["RSI_14_4h"] < 35.0)
        | (df["CMF_20_15m"] > -0.30)
        | (df["CMF_20_1h"] > -0.30)
        | (df["CMF_20_4h"] > -0.30)
        | (df["CCI_20_1h"] < -200.0)
        | (df["CCI_20_4h"] < -200.0)
        | (df["ROC_9_1d"] > -25.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1h overbought, 4h downtrend
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
        | (df["ROC_9_1h"] < 10.0)
        | (df["ROC_9_4h"] > -10.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 15m & 1h still high, 4h high
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
      )
      # 15m & 1h & 4h down move, 4h downtrend, 1h high, 4h downtrend
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["CMF_20_4h"] > -0.10)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)
        | (df["ROC_9_4h"] > -30.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h & 1d still high, 1h downtrend, 1d downtrend
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["RSI_14_1d"] < 40.0)
        | (df["CMF_20_1h"] > -0.15)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0)
        | (df["ROC_9_1d"] > -25.0)
      )
      # 15m down move, 15m still not low enough, 1h & 4h still high, 15m still high, 1h high
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_1h"] < 85.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1h downtrend, 15m & 4h still not low, 1h high
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_1h"] > -0.25)
        | (df["AROONU_14_15m"] < 30.0)
        | (df["AROONU_14_4h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)
      )
      # 15m ^ 1h down move, 15m & 1h & 4h still not low enough, 1h & 4h high, 1h overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
        | (df["ROC_9_1h"] < 10.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h still high, 4h high, 15m still high, 4h overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_4h"] < 85.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
        | (df["ROC_9_4h"] < 20.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 15m still high, 1h & 4h high
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_1h"] < 85.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_1h"] < 60.0)
        | (df["AROONU_14_4h"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
        | (df["ROC_9_4h"] < 10.0)
      )
      # 15m & 1h & 1d down move, 15m still not low enough, 1h & 4h high, 1d overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_3_1d"] > 55.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 14m & 1h down move, 15m & 1h still high, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 65.0)
        | (df["AROONU_14_15m"] < 40.0)
        | (df["AROONU_14_1h"] < 40.0)
        | (df["AROONU_14_4h"] < 85.0)
        | (df["ROC_9_4h"] < 35.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 5h still high, 15m still high, 4h & 1d overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 60.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["ROC_9_4h"] < 20.0)
        | (df["ROC_9_1d"] < 100.0)
      )
      # 15m & 1h & 1d down move, 15m still not low enough, 1h & 4h still high, 1d overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 60.0)
        | (df["RSI_3_1d"] > 60.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["ROC_9_1d"] < 80.0)
      )
      # 15m & 1h down move, 15m & 1h stil high, 4h high, 15m & 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 60.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_15m"] < 70.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["ROC_9_4h"] < 100.0)
      )
      # 15m & 1h down move, 15m & 1h & 4h still high, 15m downtrend, 1h & 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 60.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_15m"] > -0.25)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_4h"] < 25.0)
      )
      # 15m & 1h down move, 15m & 1h & 4h still high, 1h & 4h high, 1h overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 65.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_1h"] < 90.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_1h"] < 15.0)
      )
      # 15m & 4h down move, 15m high, 4h downtrend
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_4h"] > 3.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0)
        | (df["ROC_9_4h"] > -15.0)
      )
      # 15m & 4h down move, 15m & 1h & 4h still not low enough, 15m & 4h downtrend, 1h & 4h downtrend
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_4h"] > 5.0)
        | (df["RSI_14_15m"] < 10.0)
        | (df["RSI_14_1h"] < 10.0)
        | (df["RSI_14_4h"] < 10.0)
        | (df["CMF_20_15m"] > -0.10)
        | (df["CMF_20_4h"] > -0.20)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0)
        | (df["ROC_9_1h"] > -15.0)
        | (df["ROC_9_4h"] > -15.0)
      )
      # 15m & 4h & 1d down move, 15m & 1h & 4h still not low enough, 15m & 1d downtrend
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_4h"] > 15.0)
        | (df["RSI_3_1d"] > 25.0)
        | (df["RSI_14_15m"] > 25.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_15m"] > -0.3)
        | (df["CMF_20_1d"] > -0.3)
        | (df["AROONU_14_15m"] < 30.0)
      )
      # 15m & 4h down move, 15m & 1h still high, 1h high, 1h over
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_4h"] > 15.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0)
        | (df["ROC_9_1h"] < 10.0)
      )
      # 15m & 4h down move, 15m still not low enough, 1h & 4h still high, 15m & 1h downtrend
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_4h"] > 20)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["CMF_20_1h"] > -0.20)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
      )
      # 15m & 4h down move, 15m & 1h & 4h still not low enough, 15m & 4h high, 4h downtrend
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["ROC_9_4h"] > -20.0)
      )
      # 15m & 4h down move, 1h high & overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0)
        | (df["ROC_9_1h"] < 10.0)
      )
      # 15m & 4h down move, 15m & 1h & 4h still high, 4h high, 1h & 4h overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["ROC_9_1h"] < 10.0)
        | (df["ROC_9_4h"] < 10.0)
      )
      # 15m & 4h down move, 15m & 1h & 4h still high, 15m & 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 70.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["ROC_9_4h"] < 10.0)
      )
      # 15m & 1d down move, 15m still not low enough, 1h & 4h high
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1d"] > 5.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
      )
      # 15m & 1d down move, 15m still not low enough, 1h & 4h high
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1d"] > 60.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 60.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_15m"] < 30.0)
        | (df["AROONU_14_1h"] < 60.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
      )
      # 15m down move, 15m & 1h & 4h still not low enough, 15m & 1h downtrend, 15m & 1h high
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["CMF_20_1h"] > -0.20)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_1h"] < 100.0)
      )
      # 15m down move, 15m still not low enough, 1h & 4h high, 1d downtrend, 1h & 4h high
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_14_15m"] < 35.0)
        | (df["RSI_14_1h"] < 70.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["CMF_20_1d"] > -0.1)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["AROONU_14_4h"] < 100.0)
      )
      # 15m down move, 15m still not low enough, 1h & 4h high, 1d overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["AROONU_14_15m"] < 30.0)
        | (df["AROONU_14_1h"] < 85.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_1d"] < 250.0)
      )
      # 15m down move, 15m & 1h still high, 1h high, 1h overbought, 4h & 1d downtrend
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["AROONU_14_15m"] < 40.0)
        | (df["AROONU_14_1h"] < 85.0)
        | (df["ROC_9_1h"] < 40.0)
        | (df["ROC_9_4h"] > -50.0)
        | (df["ROC_9_1d"] > -50.0)
      )
      # 15m down move, 15m still high, 1h & 4h high, 1h & 1d overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 70.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["ROC_9_1h"] < 40.0)
        | (df["ROC_9_1d"] < 100.0)
      )
      # 15m down move, 15m still not low enough, 1h & 4h high, 4h & 1d overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 60.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_15m"] < 30.0)
        | (df["AROONU_14_1h"] < 85.0)
        | (df["ROC_9_4h"] < 20.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 15m down move, 15m & 1h & 4h still high, 1h & 4h high, 1h & 4h overbought
      & (
        (df["RSI_3_15m"] > 15.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)
        | (df["ROC_9_1h"] < 20.0)
        | (df["ROC_9_4h"] < 20.0)
      )
      # 15m down move, 15m high, 1h & 4h overbought
      & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 75.0) | (df["ROC_9_1h"] < 50.0) | (df["ROC_9_4h"] < 80.0))
      # 15m & 1h & 4h down move, 1h still high, 15m still not low enough, 4h downtrend
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_4h"] > 5.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
        | (df["ROC_9_4h"] > -30.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m downtrend, 1h & 4h still not low enough
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_3_1d"] > 45.0)
        | (df["CMF_20_15m"] > -0.40)
        | (df["AROONU_14_1h"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 15.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 15.0)
        | (df["CCI_20_1h"] < -350.0)
        | (df["CCI_20_4h"] < -200.0)
      )
      # 15m & 1h & 4h down move, 15m downtrend, 1h & 4h till high, 15m still high, 1d overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 20.0)
        | (df["CMF_20_15m"] > -0.3)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0)
        | (df["ROC_9_1d"] < 100.0)
      )
      # 15m & 1h & 4h & 1d down move, 4h & 1d still not low enough, 1d downtrend, 1h & 4h still high, 1d downtrend
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 20.0)
        | (df["RSI_3_1d"] > 25.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["RSI_14_1d"] < 30.0)
        | (df["CMF_20_1d"] > -0.20)
        | (df["AROONU_14_1h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0)
        | (df["ROC_9_1d"] > -15.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1h & 4h downtrend, 1h high
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_1h"] > -0.10)
        | (df["CMF_20_4h"] > -0.10)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["CCI_20_1h"] < -200.0)
        | (df["CCI_20_4h"] < -200.0)
      )
      # 15m & 1h & 4h down move, 1h still not low enough, 1d overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["AROONU_14_1h"] < 25.0)
        | (df["ROC_9_1d"] < 200.0)
      )
      # 15m & 1h & 4h & 1d down move, 1h & 4h still not low enough, 1d still high, 1d downtrend, 1d overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_3_1d"] > 45.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["RSI_14_1d"] < 50.0)
        | (df["CMF_20_1d"] > -0.0)
        | (df["MFI_14_1d"] < 70.0)
        | (df["CCI_20_1h"] < -250.0)
        | (df["CCI_20_4h"] < -200.0)
        | (df["ROC_9_4h"] > -10.0)
        | (df["ROC_9_1d"] < 15.0)
      )
      # 15m & 1h & 4h & 1d down move, 1h & 4h still not low enough, 15m & 1h downtrend, 1h & 4h still not low enough
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_3_1d"] > 50.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_15m"] > -0.40)
        | (df["CMF_20_1h"] > -0.25)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 1h still high, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_4h"] < 10.0)
      )
      # 15m & 1h down move, 15m & 1h still not low enough, 4h still high, 15m still not low enough, 1h & 4h high
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 30.0)
        | (df["AROONU_14_1h"] < 85.0)
        | (df["AROONU_14_4h"] < 100.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 15m & 1h & 4h downtrend, 1d overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_15m"] > -0.10)
        | (df["CMF_20_1h"] > -0.10)
        | (df["CMF_20_4h"] > -0.10)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 15m & 1h & 4h down move, 1h still not low enough, 4h still high, 1h high, 1h & 4h downtrend, 1d overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["ROC_9_1h"] > -10.0)
        | (df["ROC_9_4h"] > -10.0)
        | (df["ROC_9_1d"] < 80.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 15m & 1h downtrend
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_15m"] > -0.10)
        | (df["CMF_20_1h"] > -0.15)
        | (df["AROONU_14_15m"] < 20.0)
        | (df["AROONU_14_1h"] < 30.0)
        | (df["AROONU_14_4h"] < 50.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 15m & 1h & 4h downtrend, 4h high
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_15m"] > -0.15)
        | (df["CMF_20_1h"] > -0.15)
        | (df["CMF_20_4h"] > -0.15)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h & 4h still high, 15m & 4h high
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 75.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)
      )
      # 15m & 1h down move, 1h still not low enough, 1h still high, 4h high & overbought, 1d downtrend
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)
        | (df["ROC_9_4h"] < 40.0)
        | (df["ROC_9_1d"] > -50.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h & 4h still high, 1d overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["ROC_9_1d"] < 150.0)
      )
      # 15m & 1h & 1d down move, 1h & 4h still high, 15m downtrend, 1d overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_1d"] > 55.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_15m"] > -0.3)
        | (df["ROC_9_1d"] < 80.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m & 1h still high, 4h downtrend
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_3_1d"] > 30.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["ROC_9_4h"] > -70.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 4h still high, 1h & 4h downtrend, 1d overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_3_1d"] > 40.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 20.0)
        | (df["AROONU_14_4h"] < 40.0)
        | (df["ROC_9_1h"] > -15.0)
        | (df["ROC_9_4h"] > -30.0)
        | (df["ROC_9_1d"] < 40.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 15m stil high, 4h high
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 4h downtrend, 1h high, 4h downtrend
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 20.0)
        | (df["CMF_20_4h"] > -0.25)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)
        | (df["ROC_9_4h"] > -40.0)
      )
      # 15m & 1h & 4h down move, 1h & 4h still high, 15m & 1h downtrend, 1h & 4h high, 4h & 1d overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["CMF_20_1h"] > -0.20)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["AROONU_14_4h"] < 60.0)
        | (df["ROC_9_4h"] < 20.0)
        | (df["ROC_9_1d"] < 25.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 4h overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["ROC_9_4h"] < 40.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h still high, 4h high, 4h & 1d overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 85.0)
        | (df["ROC_9_4h"] < 20.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h & 4h still high, 15m & 1h high
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_1h"] < 100.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h still high, 4h high, 4h & 1d overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_1h"] < 30.0)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["ROC_9_4h"] < 20.0)
        | (df["ROC_9_1d"] < 200.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h still high, 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
        | (df["ROC_9_4h"] < 40.0)
      )
      # 15m & 1h down move, 1h still high, 1h & 4h high, 4h & 1d overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_4h"] < 20.0)
        | (df["ROC_9_1d"] < 80.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 15m & 4h still not low enough, 4h downtrend
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 30.0)
        | (df["AROONU_14_4h"] < 30.0)
        | (df["ROC_9_4h"] > -50.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h downtrend, 4h still high, 15m still not low enough, 1h still high
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["CMF_20_15m"] > -0.10)
        | (df["CMF_20_1h"] > -0.20)
        | (df["CMF_20_4h"] > -0.20)
        | (df["AROONU_14_4h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
        | (df["ROC_9_4h"] > -30.0)
      )
      # 15m & 1h & 4h & 1d down move, 1d still high, 1h still high, 4h high
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_3_1d"] > 25.0)
        | (df["MFI_14_1d"] < 50.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["AROONU_14_4h"] < 85.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m still not low enough, 1h & 4h still high, 15m downtrend, 4h high
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["RSI_3_1d"] > 55.0)
        | (df["RSI_14_15m"] < 25.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_15m"] > -0.10)
        | (df["AROONU_14_4h"] < 80.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["ROC_9_4h"] < 20.0)
      )
      # 15m & 1h down move, 15m & 1h & 4h still not low enough, 15m still high, 1h high, 1h & 4h still high, 1d downtrend
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_1h"] < 90.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
        | (df["ROC_9_1d"] > -50.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h & 4h still high, 15m still not lowenough, 1h high, 1d overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 25.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["ROC_9_1d"] < 80.0)
      )
      # 15m & 1h down move, 15m & 1h & 4h still high, 15m & 1h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_1h"] < 100.0)
        | (df["ROC_9_4h"] < 10.0)
      )
      # 15m & 1h down move, 15m & 1h sitll high, 4h high, 1h & 4h high, 1h & 4h overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["AROONU_14_4h"] < 90.0)
        | (df["ROC_9_1h"] < 20.0)
        | (df["ROC_9_4h"] < 30.0)
      )
      # 15m & 4h down move, 15m & 1h & 4h still high, 4h downtrend, 15m & 1h still high, 4h downtrend
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_4h"] > -0.25)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["ROC_9_4h"] > -20.0)
      )
      # 15m & 1h & 4h down move, 15m downtrend, 15m still high, 1h overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["ROC_9_1d"] < 100.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 4h downtrend
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0)
        | (df["ROC_9_4h"] > -20.0)
      )
      # 15m & 1h & 4h down move, 4d downtrend, 1h high, 4h downtrend
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["CMF_20_4h"] > -0.40)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
        | (df["ROC_9_4h"] > -30.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 4h downtrend, 15m high, 4h & 1d downtrend
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_4h"] > -0.40)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["ROC_9_4h"] > -20.0)
        | (df["ROC_9_1d"] > -50.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h still high, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["AROONU_14_15m"] < 30.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["AROONU_14_4h"] < 85.0)
        | (df["ROC_9_4h"] < 30.0)
      )
      # 15m & 1h & 4h down move, 1h & 4h still high, 4h overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["CCI_20_1h"] < 0.0)
        | (df["CCI_20_4h"] < 0.0)
        | (df["ROC_9_4h"] < 40.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h still high, 4h high, 15m stil high, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["ROC_9_4h"] < 25.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h & 4h still high, 15m downtrend, 1h & 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_4h"] < 40.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 15m still high, 1h high, 4h & 1d downtrend
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_3_1d"] > 45.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 20.0)
        | (df["AROONU_14_15m"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)
        | (df["ROC_9_4h"] > -25.0)
        | (df["ROC_9_1d"] > -30.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 15m high, 1h still high, 4h overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
        | (df["ROC_9_4h"] < 10.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 15m & 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 70.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["ROC_9_4h"] < 40.0)
      )
      # 15m & 1h & 1d down move, 15m still not low enough, 1h & 4h still high, 1h high, 4h downtrend, 1d overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_1d"] > 45.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["ROC_9_4h"] > -20.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 15m & 1h & 4h down move, 15m still not low, 1h & 4h sitll high, 15m & 1h downtrend, 15m still high, 4h high
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_15m"] > -0.10)
        | (df["CMF_20_1h"] > -0.20)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
      )
      # 15m & 1h down move, 15m & 1h still high, 4h high, 15m still high, 1h & 4h high
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_15m"] < 40.0)
        | (df["AROONU_14_1h"] < 85.0)
        | (df["AROONU_14_4h"] < 100.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 1h & 1d overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["ROC_9_1h"] < 10.0)
        | (df["ROC_9_1d"] < 200.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 1h high & overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 40.0)
        | (df["AROONU_14_1h"] < 85.0)
        | (df["ROC_9_1h"] < 10.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h downtrend, 15m & 1h high
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["CMF_20_15m"] > -0.25)
        | (df["CMF_20_1h"] > -0.10)
        | (df["CMF_20_4h"] > -0.10)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_1h"] < 90.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 15m still high, 4h downtrend
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["ROC_9_4h"] > -40.0)
      )
      # 15m & 1h & 4h down move, 1h & 4h high, 4h & 1d overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_4h"] < 75.0)
        | (df["ROC_9_4h"] < 25.0)
        | (df["ROC_9_1d"] < 150.0)
      )
      # 15m & 1h down move, 15m & 1h stil high, 4h high, 1h & 4h overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["ROC_9_1h"] < 40.0)
        | (df["ROC_9_4h"] < 50.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h still high, 4h high, 15m & 1h & 4h high
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_15m"] < 70.0)
        | (df["AROONU_14_1h"] < 100.0)
        | (df["AROONU_14_4h"] < 100.0)
      )
      # 15m & 1h down move, 15m & 1h still high, 4h high, 15m & 4h high, 15m & 1h still not low enough, 4h overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 60.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 65.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0)
        | (df["ROC_9_4h"] < 30.0)
      )
      # 15m & 1h down move, 15m & 1h still high, 4h high, 1h & 4h high, 1h overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 60.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["ROC_9_1h"] < 15.0)
      )
      # 15m & 1h down move, 15m still high, 1h high & overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 60.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["ROC_9_1h"] < 80.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h still high, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 65.0)
        | (df["RSI_14_15m"] < 35.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 75.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
        | (df["ROC_9_4h"] < 100.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h & 4h still high, 15m downtrend, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 65.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["AROONU_14_4h"] < 90.0)
        | (df["ROC_9_4h"] < 20.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h & 4h high, 15m still high, 1h & 4h high, 1d overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 65.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 60.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 15m & 4h down move, 15m & 1h & 4h sitll high, 4h high, 4h & 1d overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_4h"] < 60.0)
        | (df["ROC_9_4h"] < 15.0)
        | (df["ROC_9_1d"] < 60.0)
      )
      # 15m & 4h & 1d down move, 15m & 1h & 4h s till high, 15m & 4h high
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_3_1d"] > 50.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_4h"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
      )
      # 15m & 4h down move, 15m & 1h still not low enough, 15m still high, 1h high, 4h downtrend
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_4h"] > 20.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["AROONU_14_15m"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
        | (df["ROC_9_4h"] > -25.0)
      )
      # 15m & 4h down move, 15m & 1h still high, 4h downtrend
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_4h"] > 20.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["ROC_9_4h"] > -30.0)
      )
      # 15m &4d down move, 15m & 1h high, 4h downtrend
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_4h"] > 20.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
        | (df["ROC_9_4h"] > -30.0)
      )
      # 15m & 4h down move, 4h still high, 4h downtrend, 1d overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_4h"] > 20.0)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["ROC_9_4h"] > -30.0)
        | (df["ROC_9_1d"] < 100.0)
      )
      # 15m & 4h down move, 15m & 1h & 4h still high, 15m still not low enough, 4h still high, 4h overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 30.0)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["ROC_9_4h"] < 40.0)
      )
      # 15m & 4h down move, 15m still not low enough, 1h & 4h still high, 15, & 4h still high, 1h high, 4h downtrend
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
        | (df["ROC_9_4h"] > -20.0)
      )
      # 15m & 4h down move, 15m & 1h & 4h still high, 15m still high, 1h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_1h"] < 100.0)
        | (df["ROC_9_4h"] < 70.0)
      )
      # 15m & 4h down move, 15m & 1h still not low enough, 1h still high & overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 35.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
        | (df["ROC_9_4h"] < 10.0)
      )
      # 15m & 4h down move, 15m still high, 1h still high, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_15m"] < 30.0)
        | (df["AROONU_14_4h"] < 60.0)
        | (df["ROC_9_4h"] < 100.0)
      )
      # 15m & 4h down move, 15m still not low enough, 1h & 4h high, 15m & 1h & 4h high
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 60.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_1h"] < 90.0)
        | (df["AROONU_14_4h"] < 90.0)
      )
      # 15m down move, 15m still not low enough, 1h & 4h high, 1h & 4h overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 70.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_1h"] < 85.0)
        | (df["AROONU_14_4h"] < 85.0)
        | (df["ROC_9_1h"] < 50.0)
        | (df["ROC_9_4h"] < 50.0)
      )
      # 15m down move, 15m still high, 1h & 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 60.0)
        | (df["RSI_14_4h"] < 80.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)
        | (df["ROC_9_4h"] < 75.0)
      )
      # 15m down move, 15m & 1h & 4h high, 1h & 4h overbought
      & (
        (df["RSI_3_15m"] > 20.0)
        | (df["RSI_14_15m"] < 50.0)
        | (df["RSI_14_1h"] < 60.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_1h"] < 50.0)
        | (df["ROC_9_4h"] < 50.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 4h overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["ROC_9_4h"] < 70.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h still high, 1h high, 1d overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_1h"] < 60.0)
        | (df["ROC_9_1d"] < 100.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 15m high, 1h & 4h still high
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 70.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["AROONU_14_4h"] < 40.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 15m & 1h & 4h high
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 70.0)
        | (df["AROONU_14_1h"] < 85.0)
        | (df["AROONU_14_4h"] < 85.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m & 1h still not low enough, 4h still high, 1d overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_3_1d"] > 55.0)
        | (df["RSI_14_15m"] < 25.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
        | (df["ROC_9_1d"] < 30.0)
      )
      # 15m & 1h & 1d down move, 1h & 4h still high, 1d downtrend, 1h high, 1h & 4h still high, 1d downtrend
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_1d"] > 25.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_1d"] > -0.20)
        | (df["AROONU_14_1h"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
        | (df["ROC_9_1d"] > -15.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h stil high, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_1h"] < 40.0)
        | (df["AROONU_14_4h"] < 85.0)
        | (df["ROC_9_4h"] < 70.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h still high, 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 80.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_4h"] < 30.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m & 1h still not low enough, 4h stil high, 15m still high, 1d overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_3_1d"] > 60.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h downtrend, 4h downtrend
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_3_1d"] > 30.0)
        | (df["CMF_20_15m"] > -0.30)
        | (df["CMF_20_1h"] > -0.40)
        | (df["CMF_20_4h"] > -0.40)
        | (df["ROC_9_4h"] > -40.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1h still high, 1d overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["ROC_9_1d"] < 100.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1h still high
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_15m"] > -0.25)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
      )
      # 15m & 1h & 4h down move, 1h still not low enough, 4h still high, 15m downtrend, 15m still not low enough
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_15m"] > -0.30)
        | (df["AROONU_14_15m"] < 20.0)
        | (df["AROONU_14_1h"] < 30.0)
        | (df["AROONU_14_4h"] < 50.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h stil high, 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
        | (df["ROC_9_4h"] < 25.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 15m still not low, 4h high, 1h still high
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 20.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h still high, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_4h"] < 50.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 15m still high, 4h downtrend, 1d overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["ROC_9_4h"] > -20.0)
        | (df["ROC_9_1d"] < 100.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h still high, 1h still high, 15m still high
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0)
      )
      # 15m & 1h & 4h down move, 1h still not low enough, 4h still high, 4h & 1d overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["ROC_9_4h"] < 10.0)
        | (df["ROC_9_1d"] < 100.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h still high, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["ROC_9_4h"] < 80.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 15m & 1h & 4h still high, 1d downtrend
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["AROONU_14_15m"] < 40.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
        | (df["ROC_9_1d"] > -40.0)
      )
      # 15m & 1h & 1d down move, 15m still not low enough, 1h & 4h still high, 1d downtrend, 1h high, 1d overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_1d"] > 65.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_1d"] > -0.20)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_1h"] < 85.0)
        | (df["ROC_9_1d"] < 20.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 4h & 1d overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_4h"] < 60.0)
        | (df["ROC_9_4h"] < 20.0)
        | (df["ROC_9_1d"] < 20.0)
      )
      # 15m & 1h & 1d down move, 4h & 1d downtrend, 1h & 4h high, 1d downtrend
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_1d"] > 35.0)
        | (df["CMF_20_4h"] > -0.1)
        | (df["CMF_20_1d"] > -0.1)
        | (df["AROONU_14_1h"] < 75.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
        | (df["ROC_2_1d"] > -20.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h & 4h still high, 15m & 1h & 4h downtrend, 4h high
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_15m"] > -0.25)
        | (df["CMF_20_1h"] > -0.10)
        | (df["CMF_20_4h"] > -0.10)
        | (df["AROONU_14_1h"] < 30.0)
        | (df["AROONU_14_4h"] < 80.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h still high, 4h high, 4h & 1d overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["ROC_9_4h"] < 80.0)
        | (df["ROC_9_1d"] < 100.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h & 4h high, 1h & 4h overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 80.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["AROONU_14_4h"] < 90.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)
        | (df["ROC_9_1h"] < 20.0)
        | (df["ROC_9_4h"] < 60.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1h & 4h downtrend
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 10.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 20.0)
        | (df["CMF_20_1h"] > -0.15)
        | (df["CMF_20_4h"] > -0.20)
        | (df["AROONU_14_15m"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["AROONU_14_4h"] < 85.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0)
        | (df["ROC_9_4h"] < 30.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 60.0)
        | (df["ROC_9_4h"] < 25.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 4h high, 4h & 1d overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["ROC_9_4h"] < 15.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 15m & 1h down move, 15m sitll not low enough, 1h still high, 4h high, 15m & 1h downtrend, 15m & 1h still high
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["CMF_20_1h"] > -0.20)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h & 4h still high, 15m & 1h high, 1d overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_1h"] < 100.0)
        | (df["ROC_9_1d"] < 80.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h still high, 4h overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
        | (df["ROC_9_4h"] < 10.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1h & 4h downtrend, 15m high, 4h downtrend
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_1h"] > -0.20)
        | (df["CMF_20_4h"] > -0.30)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["ROC_9_4h"] > -30.0)
      )
      # 15m & 1h & 4h, 15m still not low enough, 1h & 4h still high, 15m downtrend, 15m & 4h high
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_15m"] > -0.25)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h still high, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["AROONU_14_4h"] < 85.0)
        | (df["ROC_9_4h"] < 70.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 15m still high, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 40.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
        | (df["ROC_9_4h"] < 10.0)
      )
      # 15m & 1h & 1d down move, 15m & 1h & 4h still high, 15m & 1d downtrend
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_1d"] > 55.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 45.0)
        | (df["RSI_14_4h"] < 45.0)
        | (df["AROONU_14_15m"] < 25.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["ROC_9_15m"] > -40.0)
        | (df["ROC_9_1d"] > -40.0)
      )
      # 15m & 1h down move, 15m & 1h & 4h stil high, 15m & 1h & 4h high, 1d downtrend
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
        | (df["ROC_9_1d"] > -50.0)
      )
      # 15m & 1h down move, 15m & 1h & 4h still high, 1h & 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
        | (df["ROC_9_4h"] < 30.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m & 1h still not low enough, 4h still high, 4h downtrend, 4h high, 1d overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_3_1d"] > 50.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_4h"] > -0.10)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["ROC_9_1d"] < 30.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h still high, 4h high
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 40.0)
        | (df["AROONU_14_1h"] < 40.0)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 15m & 1h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_1h"] < 90.0)
        | (df["ROC_9_4h"] < 10.0)
      )
      # 15m & 1h down move, 15m & 1h & 4h still high, 15m & 1h & 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_1h"] < 60.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_4h"] < 40.0)
      )
      # 15m & 1h down move, 15m & 1h still high, 4h high, 4h & 1d overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["ROC_9_4h"] < 20.0)
        | (df["ROC_9_1d"] < 100.0)
      )
      # 15m & 1h down move, 15m & 1h & 4h still high, 15m & 1h high, 1h & 4h overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_1h"] < 100.0)
        | (df["ROC_9_1h"] < 10.0)
        | (df["ROC_9_4h"] < 10.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h & 4h still high, 1h & 4h downtrend, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["CMF_20_1h"] > -0.10)
        | (df["CMF_20_4h"] > -0.10)
        | (df["AROONU_14_1h"] < 30.0)
        | (df["AROONU_14_4h"] < 85.0)
        | (df["ROC_9_4h"] < 30.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h high, 4h downtrend
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
        | (df["ROC_9_4h"] > -25.0)
      )
      # 15m & 1h down move, 15m still high, 1h & 4h high, 1h overbought, 1d downtrend
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["AROONU_14_4h"] < 90.0)
        | (df["ROC_9_1h"] < 20.0)
        | (df["ROC_9_1d"] > -30.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h high, 4h downtrend
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 60.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
        | (df["ROC_9_4h"] > -15.0)
      )
      # 15m & 1h down move, 15m & 1h still high, 4h high, 1h & 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 60.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)
        | (df["ROC_9_4h"] < 60.0)
      )
      # 15m & 1h down move, 15m & 1hstill high, 4h downtrend, 15m still high, 1h high
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 60.0)
        | (df["RSI_14_15m"] < 50.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["CMF_20_4h"] > -0.10)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_1h"] < 85.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)
      )
      # 15m & 1h down move, 1h & 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 60.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["AROONU_14_4h"] < 90.0)
        | (df["ROC_9_4h"] < 120.0)
      )
      # 15m & 1h down move, 15m still high, 1h & 4h high, 1h & 4h & 1d overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 65.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 60.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_1h"] < 20.0)
        | (df["ROC_9_4h"] < 50.0)
        | (df["ROC_9_1d"] < 250.0)
      )
      # 15m & 4h down move, 15m high, 1h still not low enough, 4h downtrend
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_4h"] > 3.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0)
        | (df["ROC_9_4h"] > -30.0)
      )
      # 15m & 4h down move, 15m & 1h high, 4h downtrend
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_4h"] > 10.0)
        | (df["AROONU_14_15m"] < 70.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
        | (df["ROC_9_4h"] > -30.0)
      )
      # 15m & 4h & 1d down move, 15m still high, 1h & 4h downtrend
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_4h"] > 15.0)
        | (df["RSI_3_1d"] > 15.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["CMF_20_1h"] > -0.20)
        | (df["CMF_20_4h"] > -0.20)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
      )
      # 15m & 4h & 1d down move, 15m high, 1d overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_3_1d"] > 30.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 15m & 4h down move, 15m & 1h still high, 15m & 1h high, 4h downtrend
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_4h"] > 3.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)
        | (df["ROC_9_4h"] > -25.0)
      )
      # 15m & 4h down move, 15m & 1h still not low enough, 4h still high,  1h & 4h downtrend, 15m & 1h & 4h still high
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_1h"] > -0.10)
        | (df["CMF_20_4h"] > -0.10)
        | (df["AROONU_14_15m"] < 30.0)
        | (df["AROONU_14_1h"] < 30.0)
        | (df["AROONU_14_4h"] < 40.0)
      )
      # 15m & 4h down move, 15m & 1h & 4h still high, 1h & 4h downtrend
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
        | (df["ROC_9_1h"] > -20.0)
        | (df["ROC_9_4h"] > -30.0)
      )
      # 15m & 4h down move, 15m & 1h & 4h still high, 15m & 4h high, 1d overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 15m & 4h down move, 15m & 1h & 4h still high, 15m & 1h high, 1h overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_1h"] < 85.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
        | (df["ROC_9_1h"] < 10.0)
      )
      # 15m & 4h down move, 15m & 1h & 4h still high, 15m & 4h high, 4h & 1d overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["ROC_9_4h"] < 25.0)
        | (df["ROC_9_1d"] < 200.0)
      )
      # 15m & 4h down move, 15m still not low enough, 1h & 4h still high, 15m & 1h & 4h still high, 4h overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
        | (df["ROC_9_4h"] < 50.0)
      )
      # 15m & 1d down move, 1h & 4h still not low enough, 1h & 4h downtrend, 4h still high
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1d"] > 25.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["MFI_14_1h"] < 40.0)
        | (df["MFI_14_4h"] < 50.0)
        | (df["CMF_20_1h"] > -0.0)
        | (df["CMF_20_4h"] > -0.20)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0)
      )
      # 15m down move, 15m & 1h & 4h still high, 15m & 1h & 4h high, 1h & 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 70.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
        | (df["ROC_9_4h"] < 20.0)
      )
      # 15m down move, 15m & 1h & 4h still high, 15m & 1h downtrend, 4h high, 15m & 1h still high
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["CMF_20_1h"] > -0.10)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
      )
      # 15m down move, 15m still high, 1h >& 4h high, 15m & 1h & 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 60.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
        | (df["ROC_9_4h"] < 25.0)
      )
      # 15m down move, 15m still high, 1h & 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 60.0)
        | (df["RSI_14_4h"] < 80.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["ROC_9_4h"] < 25.0)
      )
      # 15m down move, 15m still high, 1h & 4h high, 1d downtrend, 4h overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 70.0)
        | (df["RSI_14_4h"] < 75.0)
        | (df["CMF_20_1d"] > -0.0)
        | (df["AROONU_14_4h"] < 90.0)
        | (df["ROC_9_4h"] < 50.0)
      )
      # 15m down move, 15m & 1h high, 1h & 4h overbought
      & (
        (df["RSI_3_15m"] > 25.0)
        | (df["AROONU_14_15m"] < 80.0)
        | (df["AROONU_14_1h"] < 100.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0)
        | (df["ROC_9_1h"] < 10.0)
        | (df["ROC_9_4h"] < 20.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 15m & 4h downtrend, 1h & 4h still not low enough
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_4h"] > 15.0)
        | (df["RSI_14_15m"] < 10.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 20.0)
        | (df["CMF_20_15m"] > -0.30)
        | (df["CMF_20_4h"] > -0.30)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enugh, 4h still high, 15m still high, 1h & 4h downtrend
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_4h"] > 15.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["AROONU_14_1h"] < 10.0)
        | (df["AROONU_14_4h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["ROC_9_1h"] > -20.0)
        | (df["ROC_9_4h"] > -30.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1h downtrend
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 20.0)
        | (df["AROONU_14_15m"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
        | (df["ROC_9_1h"] > -15.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h still high, 15m & 1h & 4h downtrend
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_15m"] > -0.35)
        | (df["ROC_9_1h"] > -10.0)
        | (df["ROC_9_4h"] > -15.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 15m still high, 1h & 4h & 1d downtrend
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_3_1d"] > 30.0)
        | (df["RSI_14_15m"] < 25.0)
        | (df["RSI_14_1h"] < 25.0)
        | (df["RSI_14_4h"] < 25.0)
        | (df["AROONU_14_15m"] < 40.0)
        | (df["ROC_9_1h"] > -15.0)
        | (df["ROC_9_4h"] > -15.0)
        | (df["ROC_9_1d"] > -15.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1h & 4h downtrend, 4h downtrend
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_1h"] > -0.20)
        | (df["CMF_20_4h"] > -0.20)
        | (df["AROONU_14_4h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
        | (df["ROC_9_4h"] > -20.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m still not low enough, 1h & 4h still high, 15m downtrend, 4h high
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["RSI_3_1d"] > 60.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_15m"] > -0.15)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["CCI_20_1h"] < -100.0)
        | (df["CCI_20_4h"] < 0.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h still high, 15m & 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["ROC_9_4h"] < 25.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 4h downtrend, 1d high
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_3_1d"] > 45.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_4h"] > -0.25)
        | (df["AROONU_14_1d"] < 90.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 15m still not low enough, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 25.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["ROC_9_4h"] < 80.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 1d overbought
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0)
        | (df["ROC_9_1d"] < 80.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h & 4h still high, 15m & 1h downtrend, 15m & 4h high
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_15m"] > -0.25)
        | (df["CMF_20_1h"] > -0.30)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_4h"] < 60.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 1h & 4h high
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["AROONU_14_4h"] < 100.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h stil high, 15m high, 4h downtrend
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["ROC_9_4h"] > -40.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 4h high, 4h & 1d overbought
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_1h"] < 30.0)
        | (df["AROONU_14_4h"] < 85.0)
        | (df["ROC_9_4h"] < 20.0)
        | (df["ROC_9_1d"] < 80.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 15m & 4h high, 1h still not low enough, 4h high
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_4h"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
      )
      # 15m & 1h down move, 15m & 1h & 4h still high, 1h & 4h downtrend, 15m & 1h high
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_1h"] > -0.10)
        | (df["CMF_20_4h"] > -0.10)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_1h"] < 100.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h sitll high, 1h & 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 80.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_4h"] < 20.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 15m & 1h still high, 4h high
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 15h & 4h high
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
      )
      # 15m & 1h & 4h down move, 15m high
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["AROONU_14_15m"] < 70.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 1h high
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_1h"] < 100.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
      )
      # 15m & 1h & 4h down move, 15m still low, 1h & 4h still high, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["ROC_9_4h"] < 100.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h stil high, 15m & 4h still high, 4h overbought
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["ROC_9_4h"] < 20.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h high, 1d downtrend
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_3_1d"] > 45.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_1h"] < 85.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_1d"] > -50.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m still not low enough, 1h & 4h still high, 4h downtrend, 1d overbought
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_3_1d"] > 50.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["ROC_9_4h"] > -20.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 15m high
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 70.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h stil high, 15m & 4h still high, 4h overbought
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["ROC_9_4h"] < 20.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 15m & 1h high, 4h & 1d overbought
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_1h"] < 100.0)
        | (df["ROC_9_4h"] < 10.0)
        | (df["ROC_9_1d"] < 30.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 1d overbought
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CCI_20_1h"] < 0.0)
        | (df["CCI_20_4h"] < 0.0)
        | (df["ROC_9_1d"] < 200.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h still high, 1h & 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["ROC_9_4h"] < 70.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h & 4h still high, 15m downtrend, 15m still high, 1h high
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_15m"] > -0.25)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_1h"] < 100.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h stil high, 4h high, 1h downtrend
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 80.0)
        | (df["CMF_20_1h"] > -0.10)
        | (df["AROONU_14_1h"] < 40.0)
        | (df["AROONU_14_4h"] < 80.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 1h & 4h high, 1d overbought
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_1h"] < 60.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_1d"] < 80.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h & 4h still high, 1h high, 1h & 1d overbought
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_1h"] < 60.0)
        | (df["ROC_9_1h"] < 20.0)
        | (df["ROC_9_1d"] < 80.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m & 4h downtrend, 15m & 1h high
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["RSI_3_1d"] > 55.0)
        | (df["CMF_20_15m"] > -0.25)
        | (df["CMF_20_4h"] > -0.20)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_1h"] < 100.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 15m high
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 80.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 1h & 4h downtrend, 1h high, 4h downtrend
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_1h"] > -0.20)
        | (df["CMF_20_4h"] > -0.25)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["ROC_9_4h"] > -20.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 1h & 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_1h"] < 60.0)
        | (df["AROONU_14_4h"] < 85.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
        | (df["ROC_9_4h"] < 25.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h still high, 4h downtrend, 1h still high
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 60.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_4h"] > -0.30)
        | (df["AROONU_14_1h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
      )
      # 15m & 1h down move, 15m & 1h & 4h still high, 4h high, 4h & 1d overbought
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 60.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["ROC_9_4h"] < 50.0)
        | (df["ROC_9_1d"] < 150.0)
      )
      # 15m & 1h down move, 15m still high, 1h & 4h high & overbought
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 60.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 80.0)
        | (df["AROONU_14_1h"] < 60.0)
        | (df["AROONU_14_4h"] < 90.0)
        | (df["ROC_9_1h"] < 50.0)
        | (df["ROC_9_4h"] < 100.0)
      )
      # 15m & 1h down move, 15m still high, 1h & 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 65.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 60.0)
        | (df["RSI_14_4h"] < 80.0)
        | (df["AROONU_14_4h"] < 90.0)
        | (df["ROC_9_4h"] < 130.0)
      )
      # 15m & 4h down move, 15m & 1h & 4h still high, 15m still high
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_4h"] > 5.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0)
      )
      # 15m & 4h down move, 15m & 1h high, 4h downtrend
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_4h"] > 15.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
        | (df["ROC_9_4h"] > -50.0)
      )
      # 15m & 4h down move, 15m & 1h still high, 1h & 4h downtrend, 15m & 1h still high
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["CMF_20_1h"] > -0.10)
        | (df["CMF_20_4h"] > -0.30)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
      )
      # 15m & 4h down move, 15m & 1h & 4h still high, 15m & 4h high
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_4h"] < 70.0)
      )
      # 15m & 1h down move, 15m still high, 1h & 4h high & overbought
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 65.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 60.0)
        | (df["RSI_14_4h"] < 75.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_1h"] < 40.0)
        | (df["ROC_9_4h"] < 40.0)
      )
      # 15m & 4h down move, 15m & 1h & 4h still high, 15m high
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
      )
      # 15m & 4h down move, 15m & 1h & 4h stil high, 14m & 4h high
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 70.0)
        | (df["AROONU_14_4h"] < 90.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
      )
      # 15m & 4h down move, 15m still not low enough, 1h & 4h still high, 15m & 4h high, 1d overbought
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 70.0)
        | (df["AROONU_14_4h"] < 30.0)
        | (df["ROC_9_1d"] < 200.0)
      )
      # 15m down move, 15m still not low enough, 1h & 4h high
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 70.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
      )
      # 15m down move, 15m & 1h & 4h still high, 15m high, 15m & 1h still high, 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 30.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 70.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
        | (df["ROC_9_4h"] < 20.0)
      )
      # 15m & 1h down move, 15m & 1h still high, 1h & 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_4h"] < 20.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 15m & 4h still high, 1d downtrend
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
        | (df["ROC_9_1d"] > -50.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h high, 1d overbought
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["ROC_9_1d"] < 200.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h still high, 4h high, 15m & 4h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["ROC_9_4h"] < 20.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h still high, 15m high, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 80.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
        | (df["ROC_9_4h"] < 40.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h high
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["AROONU_14_15m"] < 70.0)
        | (df["AROONU_14_1h"] < 100.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still high, 15m & 1h high, 1d overbought
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_3_1d"] > 45.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still highm 15m & 1h high, 1h still high, 4h high
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_1h"] < 85.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 15m & 4h high, 4h & 1d overbought
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_4h"] < 60.0)
        | (df["ROC_9_4h"] < 10.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 15m & 4h high, 1d overbought
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 70.0)
        | (df["AROONU_14_4h"] < 85.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["ROC_9_1d"] < 40.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h & 4h still high, 1h & 4h downtrend, 1h still high, 4h high
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_1h"] > -0.30)
        | (df["CMF_20_1h"] > -0.30)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["AROONU_14_4h"] < 80.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h still high, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 80.0)
        | (df["STOCHk_14_3_3_1h"] < 60.0)
        | (df["STOCHk_14_3_3_4h"] < 90.0)
        | (df["ROC_9_4h"] < 80.0)
      )
      # 15m & 1h & 4h down move, 15m high
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 90.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 15m high, 1d overbought
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 50.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 70.0)
        | (df["ROC_9_1d"] < 80.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 15m & 1h & 4h still high
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h stil high, 1h & 4h high, 1h overbought
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 30.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["ROC_9_1h"] < 10.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 15m still high, 4h overbought
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["ROC_9_4h"] < 80.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 15m & 4h high, 1d overbought
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["ROC_9_1d"] < 75.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 15m & 1h high
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_3_1h"] > 60.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 70.0)
        | (df["AROONU_14_1h"] < 90.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 4h downtrend, 15m high
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_3_1h"] > 60.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_4h"] > -0.10)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 15m still not low enough, 4h & 1h still high, 1d overbought
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_3_1h"] > 60.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 20.0)
        | (df["AROONU_14_4h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["ROC_9_1d"] < 150.0)
      )
      # 15m & 1h down move, 15m & 1h & 4h high, 1h overbought
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_3_1h"] > 65.0)
        | (df["RSI_14_15m"] < 50.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["AROONU_14_4h"] < 90.0)
        | (df["ROC_9_1h"] < 20.0)
      )
      # 15m & 4h down move, 15m & 1h high, 4h downtrend
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_3_4h"] > 10.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
        | (df["ROC_9_4h"] > -30.0)
      )
      # 15m & 4h down move, 15m still high, 1h high, 15m & 1h high
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 70.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_1h"] < 100.0)
      )
      # 15m & 4h down move, 15m still not low enough, 1h & 4h still high, 15m & 1h high
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 70.0)
        | (df["AROONU_14_1h"] < 100.0)
      )
      # 15m & 4h down move, 15m still not low enough, 1h & 4h still high, 1h & 4h downtrend, 15m & 1h still high
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_1h"] > -0.25)
        | (df["CMF_20_4h"] > -0.25)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
      )
      # 15m & 4h down move, 15m & 1h & 4h still high, 15m & 1h high, 4h downtrend
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)
        | (df["ROC_9_4h"] > -20.0)
      )
      # 15m down move, 15m still high, 1h & 4h high, 1h & 4h overbought
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_14_15m"] < 50.0)
        | (df["RSI_14_1h"] < 60.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0)
        | (df["ROC_9_1h"] < 20.0)
        | (df["ROC_9_4h"] < 20.0)
      )
      # 15m down move, 15m & 1h still high, 4h high, 15m downtrend, 15m high, 1h & 4h overbought
      & (
        (df["RSI_3_15m"] > 35.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["CMF_20_15m"] > -0.10)
        | (df["AROONU_14_15m"] < 70.0)
        | (df["ROC_9_1h"] < 15.0)
        | (df["ROC_9_4h"] < 80.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 15m downtrend, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 40.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_15m"] > -0.30)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["ROC_9_4h"] < 70.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h sitll not low enough, 4h still high, 15m high
      & (
        (df["RSI_3_15m"] > 40.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_4h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0)
      )
      # 15m & 1h & 4h & 1d down move, 1d downtrend, 4h still not low enough, 15m still high, 1h downtrend
      & (
        (df["RSI_3_15m"] > 40.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_3_1d"] > 45.0)
        | (df["CMF_20_1d"] > -0.40)
        | (df["AROONU_14_4h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["ROC_9_1h"] > -25.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h downtrend, 4h high
      & (
        (df["RSI_3_15m"] > 40.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["CMF_20_15m"] > -0.40)
        | (df["CMF_20_1h"] > -0.40)
        | (df["CMF_20_4h"] > -0.40)
        | (df["AROONU_14_4h"] < 75.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 40.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 30.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["ROC_9_4h"] < 50.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h still high, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 40.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 90.0)
        | (df["AROONU_14_4h"] < 90.0)
        | (df["ROC_9_4h"] < 80.0)
      )
      # 15m & 1h down move, 15m still not low enough, 1h still high, 4h high, 15m still high, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_15m"] < 40.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["ROC_9_4h"] < 100.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 15m high, 1h & 4h downtrend
      & (
        (df["RSI_3_15m"] > 40.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 60.0)
        | (df["ROC_9_1h"] > -30.0)
        | (df["ROC_9_4h"] > -40.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 15m & 1h high
      & (
        (df["RSI_3_15m"] > 40.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_1h"] < 100.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h high
      & (
        (df["RSI_3_15m"] > 40.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_1h"] < 100.0)
        | (df["AROONU_14_4h"] < 100.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m & 1h & 4h still high, 15m & 1h high, 1d overbought
      & (
        (df["RSI_3_15m"] > 40.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_3_1d"] > 60.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_1h"] < 85.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 4h downtrend, 4h overbought
      & (
        (df["RSI_3_15m"] > 40.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_4h"] > -0.15)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
        | (df["ROC_9_4h"] < 25.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 40.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["ROC_9_4h"] < 50.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 1h & 4h downtrend, 1h high, 4h overbought
      & (
        (df["RSI_3_15m"] > 40.0)
        | (df["RSI_3_1h"] > 65.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_1h"] > -0.10)
        | (df["CMF_20_4h"] > -0.30)
        | (df["AROONU_14_15m"] < 20.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["ROC_9_4h"] < 10.0)
      )
      # 15m & 1h down move, 15m & 1h & 4h still high, 15m still high, 1h high, 1h overbought
      & (
        (df["RSI_3_15m"] > 40.0)
        | (df["RSI_3_1h"] > 65.0)
        | (df["RSI_14_15m"] < 50.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_1h"] < 85.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
        | (df["ROC_9_1h"] < 20.0)
      )
      # 15m &4h down move, 15m & 1h & 4h still high, 15m still high, 1h high, 15m & 1h overbought
      & (
        (df["RSI_3_15m"] > 40.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 40.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["ROC_9_15m"] < 10.0)
        | (df["ROC_9_1h"] < 40.0)
      )
      # 15m & 4h down move, 15m & 1h & 4h still high, 15m & 1h high, 1h overbought
      & (
        (df["RSI_3_15m"] > 40.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)
        | (df["ROC_9_1h"] < 20.0)
      )
      # 15m & 1d down move, 15m & 1h & 4h stil high, 4h high, 15m & 1h & 4h still high
      & (
        (df["RSI_3_15m"] > 40.0)
        | (df["RSI_3_1d"] > 20.0)
        | (df["RSI_14_15m"] < 50.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
      )
      # 15m down move, 15m & 1h still high, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 40.0)
        | (df["RSI_14_15m"] < 50.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 90.0)
        | (df["AROONU_14_1h"] < 40.0)
        | (df["AROONU_14_4h"] < 85.0)
        | (df["ROC_9_4h"] < 100.0)
      )
      # 15m down move, 15m still high, 1h & 4h high & overbought
      & (
        (df["RSI_3_15m"] > 40.0)
        | (df["RSI_14_15m"] < 50.0)
        | (df["RSI_14_1h"] < 70.0)
        | (df["RSI_14_4h"] < 80.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_1h"] < 70.0)
        | (df["ROC_9_4h"] < 80.0)
      )
      # 15m down move, 15m & 1h & 4h still high, 15m & 1h & 4h high
      & (
        (df["RSI_3_15m"] > 40.0)
        | (df["RSI_14_15m"] < 50.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_1h"] < 100.0)
        | (df["AROONU_14_4h"] < 100.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still high, 15m & 4h still high, 4h & 1d overbought
      & (
        (df["RSI_3_15m"] > 45.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["ROC_9_4h"] < 40.0)
        | (df["ROC_9_1d"] < 100.0)
      )
      # 15m & 1h down move, 15m & 1h & 4h still high, 15m & 1h & 4h downtrend, 4h high
      & (
        (df["RSI_3_15m"] > 45.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_15m"] > -0.10)
        | (df["CMF_20_1h"] > -0.10)
        | (df["CMF_20_4h"] > -0.10)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)
      )
      # 15m & 1h down move, 15m & 1h & 4h still high, 1h & 4h & 1d downtrend, 1h & 4h high
      & (
        (df["RSI_3_15m"] > 45.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_1h"] > -0.10)
        | (df["CMF_20_4h"] > -0.10)
        | (df["CMF_20_1d"] > -0.30)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["AROONU_14_4h"] < 90.0)
      )
      # 15m & 1h down move, 1h & 4h still high, 4h high, 1h & 4h overbought
      & (
        (df["RSI_3_15m"] > 45.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
        | (df["ROC_9_1h"] < 30.0)
        | (df["ROC_9_4h"] < 100.0)
      )
      # 15m & 1h & 4h & 1d down move, 15m still not low enough, 1h & 4h still high, 15m still high, 1d overbought
      & (
        (df["RSI_3_15m"] > 45.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_3_1d"] > 50.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["ROC_9_1d"] < 80.0)
      )
      # 15m & 1h & 4h down move, 15m & 1h & 4h still not low enough, 15m still high, 4h high & overbought
      & (
        (df["RSI_3_15m"] > 45.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["ROC_9_4h"] < 40.0)
      )
      # 15m & 1h down move, 15m & 1h still high, 4h high, 1h & 4h high, 1h & 4h overbought
      & (
        (df["RSI_3_15m"] > 45.0)
        | (df["RSI_3_1h"] > 60.0)
        | (df["RSI_14_15m"] < 50.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["AROONU_14_4h"] < 90.0)
        | (df["ROC_9_1h"] < 30.0)
        | (df["ROC_9_4h"] < 80.0)
      )
      # 15m & 1h down move, 15m still high, 1h high, 15m overbought
      & (
        (df["RSI_3_15m"] > 45.0)
        | (df["RSI_3_1h"] > 60.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_1h"] < 100.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
        | (df["ROC_9_15m"] < 20.0)
      )
      # 15m & 4h down move, 15m & 1h & 4h still not low enough, 15m & 1h & 4h downtrend, 1h & 4h still high
      & (
        (df["RSI_3_15m"] > 45.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_15m"] > -0.15)
        | (df["CMF_20_1h"] > -0.25)
        | (df["CMF_20_4h"] > -0.35)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
      )
      # 15m down move, 15m & 1h & 4h high, 15m & 1h high, 4h & 1d overbought
      & (
        (df["RSI_3_15m"] > 45.0)
        | (df["RSI_14_15m"] < 50.0)
        | (df["RSI_14_1h"] < 60.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_15m"] < 70.0)
        | (df["AROONU_14_1h"] < 100.0)
        | (df["ROC_9_4h"] < 10.0)
        | (df["ROC_9_1d"] < 40.0)
      )
      # 15m down move, 15m & 1h & 4h high, 1h & 4h high, 1h & 4h overbought
      & (
        (df["RSI_3_15m"] > 45.0)
        | (df["RSI_14_15m"] < 50.0)
        | (df["RSI_14_1h"] < 70.0)
        | (df["RSI_14_4h"] < 80.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_1h"] < 40.0)
        | (df["ROC_9_4h"] < 100.0)
      )
      # 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 15m downtrend, 15m & 4h high
      & (
        (df["RSI_3_15m"] > 55.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["CMF_20_15m"] > -0.10)
        | (df["AROONU_14_1h"] < 30.0)
        | (df["AROONU_14_4h"] < 85.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0)
      )
      # 15m & 1h down move, 15m & 1h & 4h high, 1h & 4h overbought
      & (
        (df["RSI_3_15m"] > 55.0)
        | (df["RSI_3_1h"] > 65.0)
        | (df["RSI_14_15m"] < 50.0)
        | (df["RSI_14_1h"] < 60.0)
        | (df["RSI_14_4h"] < 80.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_1h"] < 30.0)
        | (df["ROC_9_4h"] < 70.0)
      )
      # 1h & 4h down move, 15m high
      & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0))
      # 1h & 4h down move, 4h still not low enough
      & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 3.0) | (df["AROONU_14_4h"] < 20.0))
      # 1h & 4h down move, 15m still not low enough, 4h downtrend
      & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 5.0) | (df["RSI_14_15m"] < 30.0) | (df["CMF_20_4h"] > -0.30))
      # 1h & 4h down move, 1h downtrend, 4h still high
      & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 20.0) | (df["CMF_20_1h"] > -0.30) | (df["AROONU_14_4h"] < 50.0))
      # 1h & 4h down move, 1h still not low enough, 4h still high, 1d overbought
      & (
        (df["RSI_3_1h"] > 3.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["ROC_9_1d"] < 80.0)
      )
      # 1h & 4h & 1d down move, 1d still not low enough, 1d downtrend
      & (
        (df["RSI_3_1h"] > 5.0)
        | (df["RSI_3_4h"] > 5.0)
        | (df["RSI_3_1d"] > 10.0)
        | (df["AROONU_14_1d"] < 25.0)
        | (df["ROC_9_1d"] > -30.0)
      )
      # 1h & 4h down move, 1h & 4h downtrend
      & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["CMF_20_1h"] > -0.5) | (df["CMF_20_4h"] > -0.5))
      # 1h & 4h down move, 15m & 1h & 4h downtrend, 1h & 4h still high
      & (
        (df["RSI_3_1h"] > 5.0)
        | (df["RSI_3_4h"] > 20.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["CMF_20_1h"] > -0.20)
        | (df["CMF_20_4h"] > -0.20)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["AROONU_14_4h"] < 50.0)
      )
      # 1h & 4h down move, 15m & 1hg downtrend, 4h downtrend
      & (
        (df["RSI_3_1h"] > 5.0)
        | (df["RSI_3_4h"] > 20.0)
        | (df["CMF_20_15m"] > -0.40)
        | (df["CMF_20_1h"] > -0.40)
        | (df["ROC_9_4h"] > -20.0)
      )
      # 1h & 4h down move, 1h still high, 4h high, 1d overbought
      & (
        (df["RSI_3_1h"] > 5.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["AROONU_14_4h"] < 85.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 1h & 4h down move, 1h & 4h still high, 4h high, 15m & 1h downtrend
      & (
        (df["RSI_3_1h"] > 5.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["AROONU_14_1h"] < 40.0)
        | (df["AROONU_14_4h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
        | (df["ROC_9_15m"] > -10.0)
        | (df["ROC_9_1h"] > -20.0)
      )
      # 1h & 4h down move, 15m & 1h still not low enough, 4h high, 1d overbought
      & (
        (df["RSI_3_1h"] > 5.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["ROC_9_1d"] < 100.0)
      )
      # 1h & 4h down move, 15m & 1h & 4h downtrend, 1h high
      & (
        (df["RSI_3_1h"] > 10.0)
        | (df["RSI_3_4h"] > 20.0)
        | (df["CMF_20_15m"] > -0.0)
        | (df["CMF_20_1h"] > -0.30)
        | (df["CMF_20_4h"] > -0.30)
        | (df["AROONU_14_1h"] < 60.0)
      )
      # 1h & 4h down move, 1h & 4h downtrend, 1h high
      & (
        (df["RSI_3_1h"] > 10.0)
        | (df["RSI_3_4h"] > 20.0)
        | (df["CMF_20_1h"] > -0.40)
        | (df["CMF_20_4h"] > -0.40)
        | (df["AROONU_14_1h"] < 60.0)
      )
      # 1h & 4h & 1d down move, 1h & 4h still not low enough, 1h & 4h downtrend, 1h still not low enough
      & (
        (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_4h"] > 15.0)
        | (df["RSI_3_1d"] > 15.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 20.0)
        | (df["CMF_20_1h"] > -0.10)
        | (df["CMF_20_4h"] > -0.20)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0)
      )
      # 1h & 4h down move, 1h & 4h still not low enough, 15m high, 1h & 4h downtrend
      & (
        (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_4h"] > 15.0)
        | (df["AROONU_14_1h"] < 20.0)
        | (df["AROONU_14_4h"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 80.0)
        | (df["ROC_9_1h"] > -30.0)
        | (df["ROC_9_4h"] > -30.0)
      )
      # 1h & 4h down move, 15m & 1h still not low enough, 4h still high, 1h & 4h downtrend
      & (
        (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_1h"] > -0.20)
        | (df["CMF_20_4h"] > -0.10)
        | (df["AROONU_14_1h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
        | (df["ROC_9_1h"] > -10.0)
      )
      # 1h & 4h down move, 1h still not low enough, 4h downtrend
      & (
        (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 3.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0)
        | (df["ROC_9_4h"] > -25.0)
      )
      # 1h & 4h down move, 1h & 4h downtrend, 1h high, 4h downtrend
      & (
        (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["CMF_20_1h"] > -0.20)
        | (df["CMF_20_4h"] > -0.25)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["ROC_9_4h"] > -30.0)
      )
      # 1h & 4h & 1d down move, 1h & 4h still not low enough, 1d high & overbought
      & (
        (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["RSI_3_1d"] > 60.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_4h"] < 40.0)
        | (df["AROONU_14_1d"] < 70.0)
        | (df["ROC_9_1d"] < 100.0)
      )
      # 1h & 1d down move, 15m & 1h & 4h still not low enough, 15m & 1h downtrend, 1h still high
      & (
        (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_1d"] > 30.0)
        | (df["RSI_14_15m"] < 10.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_15m"] > -0.30)
        | (df["CMF_20_1h"] > -0.30)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
      )
      # 1h & 4h & 1d down move, 1h still not low enough, 4h still high, 1d downtrend
      & (
        (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_3_1d"] > 30.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
        | (df["ROC_9_1d"] > -30.0)
      )
      # 1h & 4h down move, 1h & 4h still not low enough, 4h still high, 1h & 4h downtrend, 1d overbought
      & (
        (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["ROC_9_1h"] > -20.0)
        | (df["ROC_9_4h"] > -20.0)
        | (df["ROC_9_1d"] < 80.0)
      )
      # 5m & 15m & 1h & 4h down move, 15m downtrend, 4h high, 1d overbought
      & (
        (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["CMF_20_15m"] > -0.5)
        | (df["CMF_20_1h"] > -0.3)
        | (df["CMF_20_4h"] > -0.3)
        | (df["AROONU_14_1h"] < 50.0)
      )
      # 1h & 4h down move, 1h & 4h high, 4h overbought
      & (
        (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
        | (df["ROC_9_4h"] < 80.0)
      )
      # 1h & 4h & 1d down move, 15m & 1h & 4h still not low enough, 4h still high
      & (
        (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_3_1d"] > 5.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0)
      )
      # 1h & 4h down move, 1h & 4h still high, 1h still not low enough, 4h still high, 1h downtrend, 4h & 1d overbought
      & (
        (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_1h"] < 25.0)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["ROC_9_1h"] > -10.0)
        | (df["ROC_9_4h"] < 20.0)
        | (df["ROC_9_1d"] < 100.0)
      )
      # 1h & 4h down move, 1h & 4h still high, 4h high, 1h & 4h overbought
      & (
        (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["AROONU_14_4h"] < 85.0)
        | (df["ROC_9_1h"] < 10.0)
        | (df["ROC_9_4h"] < 25.0)
      )
      # 1h down move, 1h still high, 4h overbought
      & ((df["RSI_3_1h"] > 55.0) | (df["RSI_14_1h"] < 40.0) | (df["ROC_9_4h"] < 300.0))
      # 1h & 1d down move, 1h & 4h & 1d still high, 1h & 4h high, 4h overbought
      & (
        (df["RSI_3_1h"] > 60.0)
        | (df["RSI_3_1d"] > 25.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["MFI_14_1d"] < 50.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["AROONU_14_4h"] < 90.0)
        | (df["ROC_9_4h"] < 25.0)
      )
      # 4h down move, 15m & 1h & 4h still not low enough
      & ((df["RSI_3_4h"] > 3.0) | (df["RSI_14_15m"] < 20.0) | (df["RSI_14_1h"] < 20.0) | (df["RSI_14_4h"] < 30.0))
      # 4h down move, 1h & 4h downtrend, 1h still not low enough
      & ((df["RSI_3_4h"] > 3.0) | (df["CMF_20_1h"] > -0.20) | (df["CMF_20_4h"] > -0.25) | (df["AROONU_14_1h"] < 30.0))
      # 4h down move, 1h & 4h downtrend, 1h & 4h & 1d downtrend
      & (
        (df["RSI_3_4h"] > 3.0)
        | (df["CMF_20_1h"] > -0.20)
        | (df["CMF_20_4h"] > -0.35)
        | (df["CCI_20_change_pct_4h"] > 0.0)
        | (df["ROC_9_1h"] > -20.0)
        | (df["ROC_9_4h"] > -25.0)
        | (df["ROC_9_1d"] > -25.0)
      )
      # 4h down move, 15m downtrend, 15m still not low enough, 1h high
      & (
        (df["RSI_3_4h"] > 3.0)
        | (df["CMF_20_15m"] > -0.20)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)
      )
      # 4h down move, 1h & 4h downtrend, 15m high
      & (
        (df["RSI_3_4h"] > 3.0)
        | (df["CMF_20_1h"] > -0.25)
        | (df["CMF_20_4h"] > -0.30)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0)
      )
      # 4h down move, 15m & 1h high
      & ((df["RSI_3_4h"] > 3.0) | (df["AROONU_14_15m"] < 60.0) | (df["AROONU_14_1h"] < 90.0))
      # 4h down move, 15m high, 4h still high
      & (
        (df["RSI_3_4h"] > 3.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_4h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
      )
      # 4h down move, 15m & 1h high, 4h downtrend
      & (
        (df["RSI_3_4h"] > 3.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["ROC_9_4h"] > -20.0)
      )
      # 4h & 1d down move, 15m still not low enough, 4h downtrend
      & (
        (df["RSI_3_4h"] > 5.0)
        | (df["RSI_3_1d"] > 5.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
        | (df["ROC_9_4h"] > -40.0)
      )
      # 4h down move, 15m & 1h & 4h still not low enough, 1h & 4h downtrend, 4h & 15m still not low enough
      & (
        (df["RSI_3_4h"] > 5.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 20.0)
        | (df["CMF_20_1h"] > -0.20)
        | (df["CMF_20_4h"] > -0.20)
        | (df["AROONU_14_4h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
      )
      # 4h down move, 1h & 4h downtrend, 1h still not low enough, 4h high
      & (
        (df["RSI_3_4h"] > 5.0)
        | (df["CMF_20_1h"] > -0.10)
        | (df["CMF_20_4h"] > -0.20)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0)
      )
      # 4h down mnove, 15m & 1h & 4h downtrend, 15m high, 4h downtrend
      & (
        (df["RSI_3_4h"] > 10.0)
        | (df["CMF_20_15m"] > -0.25)
        | (df["CMF_20_1h"] > -0.10)
        | (df["CMF_20_4h"] > -0.10)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0)
        | (df["ROC_9_4h"] > -30.0)
      )
      # 4h down move, 15m & 1h & 4h still high, 15m high
      & (
        (df["RSI_3_4h"] > 10.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0)
      )
      # 4h & 1d down move, 15m & 1h still not low enough, 4h still high, 4h downtrend, 1d overbought
      & (
        (df["RSI_3_4h"] > 15.0)
        | (df["RSI_3_1d"] > 65.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["ROC_9_4h"] > -40.0)
        | (df["ROC_9_1d"] < 200.0)
      )
      # 4h & 1d down move, 1h still high, 4h high, 1d downtrend
      & (
        (df["RSI_3_4h"] > 25.0)
        | (df["RSI_3_1d"] > 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["AROONU_14_4h"] < 100.0)
        | (df["ROC_9_1d"] > -40.0)
      )
      # 4h down move, 1h & 4h still not low enough, 15m high, 4h downtrend
      & (
        (df["RSI_3_4h"] > 25.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["ROC_9_4h"] > -50.0)
      )
      # 4h & 1d down move, 15m & 1h & 4h still not low enough, 4h downtrend, 1h still high, 4h downtrend
      & (
        (df["RSI_3_4h"] > 30.0)
        | (df["RSI_3_1d"] > 40.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["RSI_14_4h"] < 20.0)
        | (df["CMF_20_4h"] > -0.25)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["ROC_9_4h"] > -60.0)
      )
      # 4h down move, 15m & 1h & 4h still high, 15m high, 4h still not low enough, 1d overbought
      & (
        (df["RSI_3_4h"] > 35.0)
        | (df["RSI_14_15m"] < 50.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["AROONU_14_4h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 4h down move, 15m high, 15m & 1h & 4h high, 4h & 1d overbought
      & (
        (df["RSI_3_4h"] > 55.0)
        | (df["AROONU_14_15m"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
        | (df["ROC_9_4h"] < 20.0)
        | (df["ROC_9_1d"] < 30.0)
      )
      # 1d down move, 15m & 1h still not low enough, 4h & 1d downtrend
      & (
        (df["RSI_3_1d"] > 3.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0)
        | (df["ROC_9_4h"] > -30.0)
        | (df["ROC_9_1d"] > -50.0)
      )
      # 1d down move, 1h & 4h still not low enough, 1h still high & overbought, 1d downtrend
      & (
        (df["RSI_3_1d"] > 3.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["ROC_9_1h"] < 10.0)
        | (df["ROC_9_1d"] > -30.0)
      )
      # 1d down move, 15m & 1h & 4h still not low enough, 15m still not low enough, 1h high
      & (
        (df["RSI_3_1d"] > 5.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["AROONU_14_15m"] < 30.0)
        | (df["AROONU_14_1h"] < 85.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
      )
      # 1d down move, 15m still not low enough, 1h high, 1d downtrend
      & (
        (df["RSI_3_1d"] > 5.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
        | (df["ROC_2_1d"] > -40.0)
      )
      # 1d down move, 15m high, 1h & 4h downtrend
      & (
        (df["RSI_3_1d"] > 5.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0)
        | (df["ROC_9_1h"] > -60.0)
        | (df["ROC_9_4h"] > -60.0)
      )
      # 1d down move, 1h still high, 4h high
      & ((df["RSI_3_1d"] > 5.0) | (df["AROONU_14_1h"] < 40.0) | (df["AROONU_14_4h"] < 70.0))
      # 1d down move, 4h high, 1h & 4h downtrend
      & (
        (df["RSI_3_1d"] > 5.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
        | (df["ROC_9_1h"] > -10.0)
        | (df["ROC_9_4h"] > -10.0)
      )
      # 1d down move, 1h high & overbought, 4h & 1d downtrend
      & (
        (df["RSI_3_1d"] > 10.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
        | (df["ROC_9_1h"] < 10.0)
        | (df["ROC_9_4h"] > -40.0)
        | (df["ROC_9_1d"] > -40.0)
      )
      # 1d down move, 1h & 4h still high, 1h & 4h downtrend, 1h & 4h high, 1d downtrend
      & (
        (df["RSI_3_1d"] > 10.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_1h"] > -0.40)
        | (df["CMF_20_4h"] > -0.10)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["AROONU_14_4h"] < 85.0)
        | (df["ROC_9_1d"] > -40.0)
      )
      # 15m & 1h & 4h still high, 4h downtrend, 4h overbought
      & (
        (df["RSI_14_15m"] < 50.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["CMF_20_4h"] > -0.2)
        | (df["ROC_9_4h"] < 250.0)
      )
      # 4h red, 15m & 1h & 4h down move, 1h & 4h still high, 4h high
      & (
        (df["change_pct_4h"] > -30.0)
        | (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_4h"] < 70.0)
      )
      # 4h P&D, 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high, 1h & 4h high
      & (
        (df["change_pct_4h"] > -5.0)
        | (df["change_pct_4h"].shift(48) < 5.0)
        | (df["RSI_3_15m"] > 40.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["AROONU_14_4h"] < 100.0)
      )
      # 4h green with top wick, 15m & 1h down move, 15m still not low enough, 1h & 4h high
      & (
        (df["change_pct_4h"] < 10.0)
        | (df["top_wick_pct_4h"] < 10.0)
        | (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_1h"] < 60.0)
        | (df["AROONU_14_4h"] < 90.0)
      )
      # 4h green with top wick, 1h down move, 1h still high, 4h high, 1d overbought
      & (
        (df["change_pct_4h"] < 10.0)
        | (df["top_wick_pct_4h"] < 10.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["AROONU_14_4h"] < 90.0)
        | (df["ROC_9_1d"] < 20.0)
      )
      # 4h green with top wick, 15m & 1h down move, 1h still high, 4h high
      & (
        (df["change_pct_4h"] < 15.0)
        | (df["top_wick_pct_4h"] < 15.0)
        | (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["AROONU_14_4h"] < 100.0)
      )
      # 4h green with top wick, 15m & 1h down move, 1h & 4h high
      & (
        (df["change_pct_4h"] < 15.0)
        | (df["top_wick_pct_4h"] < 10.0)
        | (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["AROONU_14_4h"] < 100.0)
      )
      # 4h green, 15m & 1h down move, 15m still not low enough, 1h & 4h high
      & (
        (df["change_pct_4h"] < 15.0)
        | (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 70.0)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["AROONU_14_4h"] < 100.0)
      )
      # 1d red, 1h & 4h down move, 1h still high, 4d downtrend
      & (
        (df["change_pct_1d"] > -40.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_3_4h"] > 10.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["ROC_9_4h"] > -35.0)
      )
      # 1d P&D, 15m & 4h down move, 15m & 4h still high
      & (
        (df["change_pct_1d"] > -20.0)
        | (df["change_pct_1d"].shift(288) < 20.0)
        | (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
      )
      # 1d red, 15m & 1h & 4h down move, 1h still not low enough, 4h & 1d still high
      & (
        (df["change_pct_1d"] > -20.0)
        | (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_14_1h"] < 35.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0)
      )
      # 1d red, 1h & 4h & 1d down move, 1h still not low enough, 4h & 1d still high, 1d downtrend
      & (
        (df["change_pct_1d"] > -20.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_3_1d"] > 50.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["RSI_14_1d"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0)
        | (df["ROC_9_1d"] > -20.0)
      )
      # 1d red, 15m & 1h & 4h down move, 1d high, 15m & 1h still high
      & (
        (df["change_pct_1d"] > -20.0)
        | (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["AROONU_14_1d"] < 85.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
      )
      # 1d P&D, 15m & 1h & 4h down move, 15m & 1h & 4h still high, 15m & 4h still high
      & (
        (df["change_pct_1d"] > -15.0)
        | (df["change_pct_1d"].shift(288) < 15.0)
        | (df["RSI_3_15m"] > 50.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["AROONU_14_4h"] < 50.0)
      )
      # 1d P&D, 15m & 1h & 4h & 1d down move, 4h still not low enough
      & (
        (df["change_pct_1d"] > -10.0)
        | (df["change_pct_1d"].shift(288) < 10.0)
        | (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 10.0)
        | (df["RSI_3_1d"] > 40.0)
        | (df["RSI_14_4h"] < 30.0)
      )
      # 1d P&D, 15m & 1h down move, 1h still not low enough, 4h still high, 15m downtrend, 1h still high
      & (
        (df["change_pct_1d"] > -10.0)
        | (df["change_pct_1d"].shift(288) < 10.0)
        | (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_15m"] > -0.30)
        | (df["AROONU_14_1h"] < 50.0)
      )
      # 1d P&D, 15m down move, 1h high
      & (
        (df["change_pct_1d"] > -10.0)
        | (df["change_pct_1d"].shift(288) < 20.0)
        | (df["top_wick_pct_1d"].shift(288) < 20.0)
        | (df["RSI_3_15m"] > 35.0)
        | (df["AROONU_14_1h"] < 70.0)
      )
      # 1d P&D, 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h still high, 1d overbought
      & (
        (df["change_pct_1d"] > -10.0)
        | (df["change_pct_1d"].shift(288) < 20.0)
        | (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["ROC_9_1d"] < 25.0)
      )
      # 1d P&D, 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h still high, 1h & 4h downtrend, 1d overbought
      & (
        (df["change_pct_1d"] > -10.0)
        | (df["change_pct_1d"].shift(288) < 50.0)
        | (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["ROC_9_1h"] > -10.0)
        | (df["ROC_9_4h"] > -10.0)
        | (df["ROC_9_1d"] < 100.0)
      )
      # 1d red with top wick, 15m & 1h down move, 1h downtrend, 1h high
      & (
        (df["change_pct_1d"] > -10.0)
        | (df["top_wick_pct_1d"] < 10.0)
        | (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["CMF_20_1h"] > -0.2)
        | (df["AROONU_14_1h"] < 70.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
      )
      # 1d P&D, 15m & 1h down move, 15m still not low enough, 1h & 4h still high, 1d overbought
      & (
        (df["change_pct_1d"] > -5.0)
        | (df["change_pct_1d"].shift(288) < 10.0)
        | (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["ROC_9_1d"] < 100.0)
      )
      # 1d P&D, 15m & 1h & 4h down move, 1h & 4h still not low enough, 1h & 4h downtrend, 1d overbought
      & (
        (df["change_pct_1d"] > -5.0)
        | (df["change_pct_1d"].shift(288) < 10.0)
        | (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["AROONU_14_1h"] < 30.0)
        | (df["AROONU_14_4h"] < 30.0)
        | (df["ROC_9_1h"] > -25.0)
        | (df["ROC_9_4h"] > -25.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 1d red, 15m & 1h & 4h down move, 1h & 4h still not low enough, 1d high, 4h downtrend, 1d overbought
      & (
        (df["change_pct_1d"] > -5.0)
        | (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_1d"] < 85.0)
        | (df["ROC_9_4h"] > -30.0)
        | (df["ROC_9_1d"] < 20.0)
      )
      # 1d green with top wick, 15m & 1h & 1d down move, 1h still not low enough, 4h still high, 1d overbought
      & (
        (df["change_pct_1d"] < 10.0)
        | (df["top_wick_pct_1d"] < 10.0)
        | (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_1d"] > 65.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
        | (df["ROC_9_1d"] < 20.0)
      )
      # 1d green with top wick, 15m & 1h & 4h down move, 1h & 4h still high
      & (
        (df["change_pct_1d"] < 10.0)
        | (df["top_wick_pct_1d"] < 10.0)
        | (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_1h"] < 30.0)
        | (df["AROONU_14_4h"] < 60.0)
      )
      # 1d green with top wick, 15m down move, 1h & 4h high, 1d overbought
      & (
        (df["change_pct_1d"] < 10.0)
        | (df["top_wick_pct_1d"] < 10.0)
        | (df["RSI_3_15m"] > 10.0)
        | (df["RSI_14_1h"] < 70.0)
        | (df["RSI_14_4h"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)
        | (df["ROC_9_1d"] < 40.0)
      )
      # 1d green with top wick, 15m down move, 15m & 1h still high, 4h & 1d high, 4h overbought
      & (
        (df["change_pct_1d"] < 10.0)
        | (df["top_wick_pct_1d"] < 10.0)
        | (df["RSI_3_15m"] > 10.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 75.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["AROONU_14_1d"] < 90.0)
        | (df["ROC_9_4h"] < 25.0)
      )
      # 1d green with top wick, 15m & 1h & 4h down move, 15m still not low enough, 1h still high, 4h high
      & (
        (df["change_pct_1d"] < 10.0)
        | (df["top_wick_pct_1d"] < 10.0)
        | (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_15m"] < 30.0)
        | (df["AROONU_14_4h"] < 60.0)
      )
      # 1d green with top wick, 15m down move, 15m & 1h still high, 4h high & overbought
      & (
        (df["change_pct_1d"] < 10.0)
        | (df["top_wick_pct_1d"] < 10.0)
        | (df["RSI_3_15m"] > 15.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 80.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["ROC_9_4h"] < 80.0)
      )
      # 1d green with top wick, 1h & 4h down move, 1h & 4h still high
      & (
        (df["change_pct_1d"] < 10.0)
        | (df["top_wick_pct_1d"] < 10.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["AROONU_14_4h"] < 50.0)
      )
      # 1d green with top wick, 15m & 1h down move, 15m & 1h & 4h still high, 4h high & overbought
      & (
        (df["change_pct_1d"] < 20.0)
        | (df["top_wick_pct_1d"] < 20.0)
        | (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["ROC_9_4h"] < 20.0)
      )
      # 1d green with top wick, 1h & 4h down move, 1h still not low enough, 4h still high, 4h & 1d overbought
      & (
        (df["change_pct_1d"] < 20.0)
        | (df["top_wick_pct_1d"] < 20.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["ROC_9_4h"] < 10.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 1d green with top wick, 15m down move, 15m & 1h & 4h still high, 4h & 1d overbought
      & (
        (df["change_pct_1d"] < 25.0)
        | (df["top_wick_pct_1d"] < 25.0)
        | (df["RSI_3_15m"] > 40.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
        | (df["ROC_9_4h"] < 20.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 1d green with top wick, 15m & 1h & 4h down move, 15m still not low enough, 4h high, 1d overbought
      & (
        (df["change_pct_1d"] < 30.0)
        | (df["top_wick_pct_1d"] < 10.0)
        | (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 70.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_15m"] < 25.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["ROC_9_1d"] < 40.0)
      )
      # 1d green with top wick, 15m & 1h & 4h down move, 1h still not low enough, 4h still high, 1d overbought
      & (
        (df["change_pct_1d"] < 30.0)
        | (df["top_wick_pct_1d"] < 20.0)
        | (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["AROONU_14_1h"] < 20.0)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["ROC_9_1d"] < 100.0)
      )
      # 1d green with top wick, 15m down move, 15m & 1h still high, 4h high & overbought
      & (
        (df["change_pct_1d"] < 30.0)
        | (df["top_wick_pct_1d"] < 20.0)
        | (df["RSI_3_15m"] > 35.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 80.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["ROC_9_4h"] < 50.0)
      )
      # 1d green with top wick, 1h down move, 1h still high, 4h high & overbought, 1d overbought
      & (
        (df["change_pct_1d"] < 30.0)
        | (df["top_wick_pct_1d"] < 20.0)
        | (df["RSI_3_1h"] > 50.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_4h"] < 70.0)
        | (df["ROC_9_4h"] < 40.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 1d green with top wick, 15m & 1h down move, 1h & 4h still high, 4h overbought
      & (
        (df["change_pct_1d"] < 30.0)
        | (df["top_wick_pct_1d"] < 30.0)
        | (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["ROC_9_4h"] < 30.0)
      )
      # 1d green with top wick, 15m & 4h down move, 15m & 1h still high, 1d overbought
      & (
        (df["change_pct_1d"] < 30.0)
        | (df["top_wick_pct_1d"] < 30.0)
        | (df["RSI_3_15m"] > 50.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["AROONU_14_15m"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["ROC_9_1d"] < 100.0)
      )
      # 1d green, 15m & 4h down move, 4h still high, 4h & 1d overbought
      & (
        (df["change_pct_1d"] < 50.0)
        | (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["ROC_9_4h"] < 40.0)
        | (df["ROC_9_1d"] < 100.0)
      )
      # 1d green with top wick, 15m & 1h & 4h down move, 1h & 4h still high, 4h high
      & (
        (df["change_pct_1d"] < 50.0)
        | (df["top_wick_pct_1d"] < 50.0)
        | (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_4h"] < 70.0)
      )
      # 1d green with top wick, 1d down move, 4h still high & overbought
      & (
        (df["change_pct_1d"] < 50.0)
        | (df["top_wick_pct_1d"] < 50.0)
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["ROC_9_4h"] < 50.0)
      )
      # 1d green with top wick, 4h down move, 4h still high, 1d overbought
      & (
        (df["change_pct_1d"] < 50.0)
        | (df["top_wick_pct_1d"] < 50.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["ROC_9_1d"] < 200.0)
      )
      # 1d green, 15m & 4h down move, 15m & 1h & 4h still high, 15m high, 4h & 1d overbought
      & (
        (df["change_pct_1d"] < 50.0)
        | (df["RSI_3_15m"] > 50.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_15m"] < 60.0)
        | (df["ROC_9_4h"] < 30.0)
        | (df["ROC_9_1d"] < 200.0)
      )
      # 4h top wick, 15m down move, 15m still not low enough, 1h & 4h still high, 4h overbought
      & (
        (df["top_wick_pct_4h"] < 20.0)
        | (df["RSI_3_15m"] > 25.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
        | (df["ROC_9_4h"] < 50.0)
      )
      # 4h top wick, 15m & 1h down move, 15m & 1h still high, 1h & 4h high
      & (
        (df["top_wick_pct_4h"] < 20.0)
        | (df["RSI_3_15m"] > 40.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 60.0)
        | (df["AROONU_14_15m"] < 40.0)
        | (df["AROONU_14_1h"] < 85.0)
        | (df["AROONU_14_4h"] < 100.0)
      )
      # 1d top wick, 1h & 4h down move, 15m downtrend, 4h still high, 1d overbought
      & (
        (df["top_wick_pct_1d"] < 20.0)
        | (df["RSI_3_1h"] > 10.0)
        | (df["RSI_3_4h"] > 45.0)
        | (df["CMF_20_15m"] > -0.2)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["ROC_9_1d"] < 80.0)
      )
      # 1d top wick, 4h down move, 4h still high, 1d overbought
      & (
        (df["top_wick_pct_1d"] < 25.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_14_4h"] < 45.0)
        | (df["AROONU_14_4h"] < 40.0)
        | (df["ROC_9_1d"] < 200.0)
      )
      # 1d top wick, 15m & 1h & 4h down move, 15m & 1h downtrend, 4h still high
      & (
        (df["top_wick_pct_1d"] < 25.0)
        | (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["CMF_20_15m"] > -0.25)
        | (df["CMF_20_1h"] > -0.25)
        | (df["AROONU_14_4h"] < 50.0)
      )
      # 1d top wick, 15m & 1h & 4h down move, 15m still not low enough, 1h & 4h still high
      & (
        (df["top_wick_pct_1d"] < 25.0)
        | (df["RSI_3_15m"] > 30.0)
        | (df["RSI_3_1h"] > 60.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_15m"] < 30.0)
        | (df["AROONU_14_4h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0)
      )
      # 1d top wick, 15m down move, 15m stil high, 1h & 4h high, 4h overbought
      & (
        (df["top_wick_pct_1d"] < 25.0)
        | (df["RSI_3_15m"] > 35.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 50.0)
        | (df["RSI_14_4h"] < 80.0)
        | (df["AROONU_14_1h"] < 80.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["ROC_9_4h"] < 50.0)
      )
      # 1d top wick, 15m & 1h & 4h down move, 15m & 1h & 4h still high
      & (
        (df["top_wick_pct_1d"] < 80.0)
        | (df["RSI_3_15m"] > 40.0)
        | (df["RSI_3_1h"] > 65.0)
        | (df["RSI_3_4h"] > 65.0)
        | (df["RSI_14_15m"] < 40.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["AROONU_14_4h"] < 50.0)
      )
      # pump, drop but not yet near the previous lows, 15m & 1h & 4h & 1d down move, 1d overbought
      & (
        (((df["high_max_6_1d"] - df["low_min_6_1d"]) / df["low_min_6_1d"]) < 1.5)
        | (df["close"] > (df["high_max_6_4h"] * 0.70))
        | (df["close"] < (df["low_min_6_1d"] * 1.25))
        | (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_3_1d"] > 45.0)
        | (df["ROC_9_1d"] < 20.0)
      )
      # pump, drop in lays days, 1h & 4h down move, 1h & 4h still not low enough, 1d overbought
      & (
        (((df["high_max_12_1d"] - df["low_min_12_1d"]) / df["low_min_12_1d"]) < 3.0)
        | (df["close"] > (df["high_max_24_4h"] * 0.70))
        | (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_1d"] > 50.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["ROC_9_1d"] < 20.0)
      )
      # pump, 15m & 1h & 4h down move, 15m & 1h still not low enough, 4h still high, 1h downtrend, 1h high
      & (
        (((df["high_max_12_1d"] - df["low_min_12_1d"]) / df["low_min_12_1d"]) < 3.0)
        | (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["RSI_14_15m"] < 20.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 40.0)
        | (df["CMF_20_1h"] > -0.10)
        | (df["AROONU_14_1h"] < 70.0)
      )
      # pump, drop in last 6 days, 1h & 4h down move, 1h & 4h still not low enough, 4h downtrend, 4h & 1d downtrend
      & (
        (((df["high_max_30_1d"] - df["low_min_30_1d"]) / df["low_min_30_1d"]) < 10.0)
        | (df["close"] > (df["high_max_6_1d"] * 0.50))
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["CMF_20_4h"] > -0.10)
        | (df["ROC_9_4h"] > -15.0)
        | (df["ROC_9_1d"] > -25.0)
      )
      # drop in the last 4 hours, 1h & 4h high
      & ((df["close"] > (df["close_max_48"] * 0.30)) | (df["AROONU_14_1h"] < 85.0) | (df["AROONU_14_4h"] < 85.0))
      # drop in last 12 hours, 14m & 1h & 4h down move, 15m still not low enough, 1h still high, 4h high & overbought
      & (
        (df["close"] > (df["high_max_12_1h"] * 0.50))
        | (df["RSI_3_15m"] > 20.0)
        | (df["RSI_3_1h"] > 35.0)
        | (df["RSI_3_4h"] > 55.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["RSI_14_4h"] < 50.0)
        | (df["AROONU_14_4h"] < 80.0)
        | (df["ROC_9_4h"] < 25.0)
      )
      # drop in last 12 hours, 1h & 4h down move, 1h & 4h downtrend
      & (
        (df["close"] > (df["high_max_12_1h"] * 0.35))
        | (df["RSI_3_1h"] > 15.0)
        | (df["RSI_3_4h"] > 5.0)
        | (df["ROC_9_1h"] > -50.0)
        | (df["ROC_9_4h"] > -50.0)
      )
      # drop in last 4 days, 15m & 1h & 4h down move, 15m still not low enough, 1h still high, 4h overbought
      & (
        (df["close"] > (df["high_max_24_4h"] * 0.40))
        | (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["RSI_14_1h"] < 40.0)
        | (df["ROC_9_4h"] < 20.0)
      )
      # drop in last 4 days, 15m & 1h & 4h & 1d down move, 4h high
      & (
        (df["close"] > (df["high_max_24_4h"] * 0.40))
        | (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 40.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_3_1d"] > 10.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
      )
      # drop in last 6 days, 15m & 1h & 4h & 1d down move, 1d high, 4h downtrend
      & (
        (df["close"] > (df["high_max_24_4h"] * 0.35))
        | (df["RSI_3_15m"] > 5.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_3_1d"] > 30.0)
        | (df["AROONU_14_1d"] < 80.0)
        | (df["ROC_9_4h"] > -40.0)
      )
      # drop in last 4 days, 15m & 1d down move, 15m still not low enough, 1h still high, 1d high, 4h downtrend
      & (
        (df["close"] > (df["high_max_24_4h"] * 0.35))
        | (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1d"] > 30.0)
        | (df["AROONU_14_15m"] < 25.0)
        | (df["AROONU_14_1h"] < 40.0)
        | (df["AROONU_14_1d"] < 80.0)
        | (df["ROC_9_4h"] > -50.0)
      )
      # drop in last 4 days, 1h & 5h & 1d down move, 1h still high, 1h & 4h downtrend
      & (
        (df["close"] > (df["high_max_24_4h"] * 0.25))
        | (df["RSI_3_1h"] > 20.0)
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_3_1d"] > 25.0)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["ROC_9_1h"] > -20.0)
        | (df["ROC_9_4h"] > -35.0)
      )
      # drop in last 4 days, 1d down move, 1h & 4h downtrend, 15m & 4h downtrend
      & (
        (df["close"] > (df["high_max_24_4h"] * 0.25))
        | (df["RSI_3_1d"] > 15.0)
        | (df["CMF_20_1h"] > -0.20)
        | (df["CMF_20_4h"] > -0.20)
        | (df["ROC_9_15m"] > -15.0)
        | (df["ROC_9_4h"] > -20.0)
      )
      # drop in last 6 days, 15m & 1d down move, 1h still high, 4h high, 4h downtrend
      & (
        (df["close"] > (df["high_max_6_1d"] * 0.25))
        | (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1d"] > 15.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0)
        | (df["ROC_9_4h"] > -25.0)
      )
      # drop in last 6 days, 15m & 1h down move, 15m & 1h still not low enough, 15m & 1h & 4h & 1d downtrend
      & (
        (df["close"] > (df["high_max_6_1d"] * 0.25))
        | (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_14_15m"] < 30.0)
        | (df["CMF_20_15m"] > -0.10)
        | (df["CMF_20_1h"] > -0.10)
        | (df["CMF_20_4h"] > -0.40)
        | (df["CMF_20_1d"] > -0.50)
        | (df["AROONU_14_1h"] < 30.0)
      )
      # drop in last 4 days, 4h & 1d down move, 1h high
      & (
        (df["close"] > (df["high_max_24_4h"] * 0.15))
        | (df["RSI_3_4h"] > 25.0)
        | (df["RSI_3_1d"] > 25.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)
      )
      # drop in last 4 days, 1d down move, 1d downtrendm 1h still high, 1d downtrend
      & (
        (df["close"] > (df["high_max_24_4h"] * 0.15))
        | (df["RSI_3_1d"] > 20.0)
        | (df["CMF_20_1d"] > -0.30)
        | (df["AROONU_14_1h"] < 50.0)
        | (df["ROC_2_1d"] > -40.0)
      )
      # drop in last 6 days, 1d down move, 1h & 4h & 1d downtrend, 1d still high, 4h downtrend
      & (
        (df["close"] > (df["high_max_6_1d"] * 0.15))
        | (df["RSI_3_1d"] > 20.0)
        | (df["CMF_20_1h"] > -0.10)
        | (df["CMF_20_4h"] > -0.40)
        | (df["CMF_20_1d"] > -0.50)
        | (df["AROONU_14_1d"] < 50.0)
        | (df["ROC_9_4h"] > -30.0)
      )
      # drop in last 12 days. 15m & 1h & 4h & 1d down move, 4h still high, 1d downtrend
      & (
        (df["close"] > (df["high_max_12_1d"] * 0.25))
        | (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 10.0)
        | (df["RSI_3_4h"] > 35.0)
        | (df["RSI_3_1d"] > 35.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
        | (df["ROC_9_1d"] > -40.0)
      )
      # drop in last 12 days, 15m & 1h down move, 1h still not low enough, 4h high
      & (
        (df["close"] > (df["high_max_12_1d"] * 0.25))
        | (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_1h"] > 30.0)
        | (df["RSI_14_1h"] < 30.0)
        | (df["RSI_14_4h"] < 30.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
      )
      # drop in last 20 days, 15m & 1h & 1d down move, 15m still not low enough, 1h high
      & (
        (df["close"] > (df["high_max_20_1d"] * 0.05))
        | (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_1d"] > 25.0)
        | (df["AROONU_14_15m"] < 30.0)
        | (df["AROONU_14_1h"] < 80.0)
      )
      # drop in last 20 days, 1h & 4h & 1d down move, 1h & 4h still not low enough, 1h & 4h & 1d downtrend
      & (
        (df["close"] > (df["high_max_20_1d"] * 0.01))
        | (df["RSI_3_1h"] > 45.0)
        | (df["RSI_3_4h"] > 60.0)
        | (df["RSI_3_1d"] > 15.0)
        | (df["RSI_14_1h"] < 15.0)
        | (df["RSI_14_4h"] < 20.0)
        | (df["CMF_20_1h"] > -0.0)
        | (df["CMF_20_4h"] > -0.10)
        | (df["CMF_20_1d"] > -0.40)
        | (df["CCI_20_1h"] < -150.0)
        | (df["CCI_20_4h"] < -200.0)
        | (df["ROC_2_1d"] > -25.0)
        | (df["ROC_9_1d"] > -60.0)
      )
      # drop in last 30 days, 15m & 1h down move, 1h still high, 4h high & overbought
      & (
        (df["close"] > (df["high_max_30_1d"] * 0.10))
        | (df["RSI_3_15m"] > 10.0)
        | (df["RSI_3_1h"] > 55.0)
        | (df["AROONU_14_1h"] < 40.0)
        | (df["AROONU_14_4h"] < 85.0)
        | (df["ROC_9_4h"] < 80.0)
      )
      # drop in last 30 days, 15m down move, 15m & 1h high
      & (
        (df["close"] > (df["high_max_30_1d"] * 0.05))
        | (df["RSI_3_15m"] > 15.0)
        | (df["RSI_3_4h"] > 50.0)
        | (df["AROONU_14_15m"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 85.0)
      )
      # drop in last 30 days, 15m & 1h & 4h down move, 15m still not low enough, 1h high
      & (
        (df["close"] > (df["high_max_30_1d"] * 0.05))
        | (df["RSI_3_15m"] > 25.0)
        | (df["RSI_3_1h"] > 25.0)
        | (df["RSI_3_4h"] > 40.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
      )
    )

    df["global_protections_long_pump"] = True

    df["global_protections_long_dump"] = True

    df["protections_long_rebuy"] = True

    # Global protections Short
    df["protections_short_global"] = (
      # 5m & 15m & 1h & 4h up move, 15m & 1h & 4h still not high enough, 4h still low, 1h uptrend
      (
        (df["RSI_3"] < 90.0)
        | (df["RSI_3_15m"] < 75.0)
        | (df["RSI_3_1h"] < 75.0)
        | (df["RSI_3_4h"] < 75.0)
        | (df["RSI_14_15m"] > 90.0)
        | (df["RSI_14_1h"] > 85.0)
        | (df["RSI_14_4h"] > 70.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] > 60.0)
        | (df["ROC_9_1h"] < 15.0)
      )
      # 5m & 15m up move, 15m & 1h & 4h still low, 15m & 1h low, 4h still low
      & (
        (df["RSI_3"] < 90.0)
        | (df["RSI_3_15m"] < 75.0)
        | (df["RSI_14_15m"] > 60.0)
        | (df["RSI_14_1h"] > 50.0)
        | (df["RSI_14_4h"] > 40.0)
        | (df["AROONU_14_15m"] > 20.0)
        | (df["AROONU_14_1h"] > 20.0)
        | (df["AROONU_14_4h"] > 40.0)
      )
      # 15m & 1h & 4h up move, 15m & 1h & 4h still not high enough, 1h & 4h still low, 4h low
      & (
        (df["RSI_3_15m"] < 90.0)
        | (df["RSI_3_1h"] < 60.0)
        | (df["RSI_3_4h"] < 60.0)
        | (df["RSI_14_15m"] > 80.0)
        | (df["RSI_14_1h"] > 70.0)
        | (df["RSI_14_4h"] > 70.0)
        | (df["AROONU_14_1h"] > 60.0)
        | (df["AROONU_14_4h"] > 60.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] > 40.0)
      )
      # 15m & 1h & 4h up move, 15m still not high enough, 1h & 4h still low, 1h low
      & (
        (df["RSI_3_15m"] < 90.0)
        | (df["RSI_3_1h"] < 60.0)
        | (df["RSI_3_4h"] < 35.0)
        | (df["RSI_14_15m"] > 80.0)
        | (df["RSI_14_1h"] > 60.0)
        | (df["RSI_14_4h"] > 60.0)
        | (df["AROONU_14_1h"] > 40.0)
      )
      # 15m & 1h & 4h up move, 15m & 1h & 4h still not high enough, 4h uptrend
      & (
        (df["RSI_3_15m"] < 95.0)
        | (df["RSI_3_1h"] < 80.0)
        | (df["RSI_3_4h"] < 80.0)
        | (df["RSI_14_15m"] > 80.0)
        | (df["RSI_14_1h"] > 80.0)
        | (df["RSI_14_4h"] > 80.0)
        | (df["CCI_20_1h"] > 200.0)
        | (df["CCI_20_4h"] > 150.0)
        | (df["ROC_9_4h"] < 20.0)
      )
      # 15m & 1h & 4h up move, 1h & 4h still now high enough, 15m uptrend, 1h still not high enough
      & (
        (df["RSI_3_15m"] < 95.0)
        | (df["RSI_3_1h"] < 50.0)
        | (df["RSI_3_4h"] < 50.0)
        | (df["RSI_14_1h"] > 70.0)
        | (df["RSI_14_4h"] > 70.0)
        | (df["CMF_20_15m"] < 0.20)
        | (df["STOCHRSIk_14_14_3_3_1h"] > 70.0)
      )
      # 15m & 1h & 4h up move, 15m & 1h & 4h still not high enough, 1h & 4h & 1d uptrend
      & (
        (df["RSI_3_15m"] < 90.0)
        | (df["RSI_3_1h"] < 90.0)
        | (df["RSI_3_4h"] < 80.0)
        | (df["RSI_14_15m"] > 80.0)
        | (df["RSI_14_1h"] > 80.0)
        | (df["RSI_14_4h"] > 80.0)
        | (df["ROC_9_1h"] < 10.0)
        | (df["ROC_9_4h"] < 20.0)
        | (df["ROC_9_1d"] < 80.0)
      )
      # 15m & 1h & 4h up move, 15m & 1h & 4h still not high enough, 1h & 4h uptrend
      & (
        (df["RSI_3_15m"] < 90.0)
        | (df["RSI_3_1h"] < 80.0)
        | (df["RSI_3_4h"] < 80.0)
        | (df["RSI_14_15m"] > 80.0)
        | (df["RSI_14_1h"] > 80.0)
        | (df["RSI_14_4h"] > 80.0)
        | (df["CCI_20_1h"] > 250.0)
        | (df["CCI_20_4h"] > 200.0)
        | (df["ROC_9_1h"] < 10.0)
        | (df["ROC_9_4h"] < 40.0)
      )
      # 15m & 1h & 4h up move, 15m & 1h & 4h still not high enough, 15m uptrend, 4h still low
      & (
        (df["RSI_3_15m"] < 90.0)
        | (df["RSI_3_1h"] < 80.0)
        | (df["RSI_3_4h"] < 80.0)
        | (df["RSI_14_15m"] > 80.0)
        | (df["RSI_14_1h"] > 80.0)
        | (df["RSI_14_4h"] > 70.0)
        | (df["CMF_20_15m"] < 0.25)
        | (df["STOCHRSIk_14_14_3_3_4h"] > 60.0)
      )
      # 15m & 1h & 4h up move, 15m still not high enough, 1h & 4h still low, 4h still low
      & (
        (df["RSI_3_15m"] < 90.0)
        | (df["RSI_3_1h"] < 60.0)
        | (df["RSI_3_4h"] < 60.0)
        | (df["RSI_14_15m"] > 80.0)
        | (df["RSI_14_1h"] > 60.0)
        | (df["RSI_14_4h"] > 60.0)
        | (df["AROONU_14_4h"] > 50.0)
      )
      # 15m & 1h & 4h up move, 15m & 1h still not high enough, 1h & 4h uptrend
      & (
        (df["RSI_3_15m"] < 85.0)
        | (df["RSI_3_1h"] < 85.0)
        | (df["RSI_3_4h"] < 85.0)
        | (df["AROONU_14_15m"] > 70.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] > 80.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] > 80.0)
        | (df["ROC_9_1h"] < 10.0)
        | (df["ROC_9_4h"] < 30.0)
      )
      # 15m & 1h & 4h up move, 15m & 1h & 4h still not high enough, 15m & 1h & 4h uptrend
      & (
        (df["RSI_3_15m"] < 85.0)
        | (df["RSI_3_1h"] < 85.0)
        | (df["RSI_3_4h"] < 80.0)
        | (df["RSI_14_15m"] > 85.0)
        | (df["RSI_14_1h"] > 80.0)
        | (df["RSI_14_4h"] > 80.0)
        | (df["CMF_20_15m"] < 0.20)
        | (df["CMF_20_1h"] < 0.10)
        | (df["CMF_20_4h"] < 0.10)
      )
      # 15m & 1h & 4h up move, 1h still low, 4h & 1d uptrend
      & (
        (df["RSI_3_15m"] < 85.0)
        | (df["RSI_3_1h"] < 85.0)
        | (df["RSI_3_4h"] < 70.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] > 50.0)
        | (df["ROC_9_4h"] < 80.0)
        | (df["ROC_9_1d"] < 100.0)
      )
      # 15m & 1h & 4h up move, 1h & 4h still not high enough, 4h overbought
      & (
        (df["RSI_3_15m"] < 85.0)
        | (df["RSI_3_1h"] < 80.0)
        | (df["RSI_3_4h"] < 80.0)
        | (df["AROONU_14_4h"] > 70.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] > 80.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] > 80.0)
        | (df["ROC_9_4h"] < 10.0)
      )
      # 15m & 1h & 4h up move, 1h still nt high enough, 1h & 4h uptrend
      & (
        (df["RSI_3_15m"] < 85.0)
        | (df["RSI_3_1h"] < 70.0)
        | (df["RSI_3_4h"] < 70.0)
        | (df["AROONU_14_1h"] > 70.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] > 70.0)
        | (df["ROC_9_1h"] < 45.0)
        | (df["ROC_9_4h"] < 45.0)
      )
      # 15m & 1h & 4h up move, 15m & 1h & 4h still not high enough, 1h still low, 1h & 4h uptrend
      & (
        (df["RSI_3_15m"] < 85.0)
        | (df["RSI_3_1h"] < 70.0)
        | (df["RSI_3_4h"] < 70.0)
        | (df["RSI_14_15m"] > 70.0)
        | (df["RSI_14_1h"] > 80.0)
        | (df["RSI_14_4h"] > 80.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] > 60.0)
        | (df["ROC_9_1h"] < 20.0)
        | (df["ROC_9_4h"] < 40.0)
      )
      # 15m & 1h & 4h up move, 4h still not high enough, 15m & 1h & 4h uptrend
      & (
        (df["RSI_3_15m"] < 80.0)
        | (df["RSI_3_1h"] < 80.0)
        | (df["RSI_3_4h"] < 80.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] > 75.0)
        | (df["ROC_9_15m"] < 10.0)
        | (df["ROC_9_1h"] < 10.0)
        | (df["ROC_9_4h"] < 20.0)
      )
      # 15m & 1h & 4h up move, 15m & 1h & 4h still not high enough, 4h low, 1h & 4h uptrend
      & (
        (df["RSI_3_15m"] < 80.0)
        | (df["RSI_3_1h"] < 80.0)
        | (df["RSI_3_4h"] < 60.0)
        | (df["RSI_14_15m"] > 80.0)
        | (df["RSI_14_1h"] > 80.0)
        | (df["RSI_14_4h"] > 60.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] > 40.0)
        | (df["ROC_9_1h"] < 20.0)
        | (df["ROC_9_4h"] < 20.0)
      )
      # 15m & 1h & 4h up move, 15m & 1h & 4h still not high enough, 4h still low, 15m & 1h & 4h uptrend
      & (
        (df["RSI_3_15m"] < 80.0)
        | (df["RSI_3_1h"] < 80.0)
        | (df["RSI_3_4h"] < 55.0)
        | (df["RSI_14_15m"] > 80.0)
        | (df["RSI_14_1h"] > 80.0)
        | (df["RSI_14_4h"] > 70.0)
        | (df["AROONU_14_4h"] > 70.0)
        | (df["ROC_9_15m"] < 10.0)
        | (df["ROC_9_1h"] < 10.0)
        | (df["ROC_9_4h"] < 20.0)
      )
      # 15m & 1h & 4h up move, 15m & 1h & 4h still not high enough, 15m uptrend
      & (
        (df["RSI_3_15m"] < 80.0)
        | (df["RSI_3_1h"] < 70.0)
        | (df["RSI_3_4h"] < 70.0)
        | (df["RSI_14_15m"] > 80.0)
        | (df["RSI_14_1h"] > 70.0)
        | (df["RSI_14_4h"] > 70.0)
        | (df["AROONU_14_4h"] > 70.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] > 90.0)
        | (df["ROC_9_15m"] < 10.0)
      )
      # 15m & 1h & 4h up move, 15m & 1h & 4h still not high enough, 1h low, 4h overbought
      & (
        (df["RSI_3_15m"] < 80.0)
        | (df["RSI_3_1h"] < 70.0)
        | (df["RSI_3_4h"] < 70.0)
        | (df["RSI_14_15m"] > 80.0)
        | (df["RSI_14_1h"] > 80.0)
        | (df["RSI_14_4h"] > 80.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] > 40.0)
        | (df["ROC_9_4h"] < 30.0)
      )
      # 15m & 1h & 4h up move, 15m & 1h & 4h still not high enough, 4h low
      & (
        (df["RSI_3_15m"] < 80.0)
        | (df["RSI_3_1h"] < 70.0)
        | (df["RSI_3_4h"] < 35.0)
        | (df["RSI_14_15m"] > 80.0)
        | (df["RSI_14_1h"] > 70.0)
        | (df["RSI_14_4h"] > 60.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0)
      )
      # 15m & 1h & 4h up move, 15m & 1h & 4h still not high enough, 4h low, 4h overbought
      & (
        (df["RSI_3_15m"] < 75.0)
        | (df["RSI_3_1h"] < 75.0)
        | (df["RSI_3_4h"] < 70.0)
        | (df["RSI_14_15m"] > 80.0)
        | (df["RSI_14_1h"] > 80.0)
        | (df["RSI_14_4h"] > 70.0)
        | (df["AROONU_14_4h"] > 30.0)
        | (df["ROC_9_4h"] < 10.0)
      )
      # 15m & 1h & 4h up move, 15m low, 1h uptrend
      & (
        (df["RSI_3_15m"] < 70.0)
        | (df["RSI_3_1h"] < 95.0)
        | (df["RSI_3_4h"] < 85.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] > 30.0)
        | (df["ROC_9_1h"] < 25.0)
      )
      # 15m & 1h & 4h up move, 15m & 1h & 4h uptrend, 15m still low, 1h uptrend
      & (
        (df["RSI_3_15m"] < 70.0)
        | (df["RSI_3_1h"] < 70.0)
        | (df["RSI_3_4h"] < 70.0)
        | (df["CMF_20_15m"] < 0.20)
        | (df["CMF_20_1h"] < 0.20)
        | (df["CMF_20_4h"] < 0.20)
        | (df["STOCHRSIk_14_14_3_3_15m"] > 50.0)
        | (df["ROC_9_1h"] < 50.0)
      )
      # 15m & 1h & 4h up move, 15m & 1h & 4h still not high enough, 4h uptrend
      & (
        (df["RSI_3_15m"] < 70.0)
        | (df["RSI_3_1h"] < 60.0)
        | (df["RSI_3_4h"] < 60.0)
        | (df["RSI_14_15m"] > 70.0)
        | (df["RSI_14_1h"] > 70.0)
        | (df["RSI_14_4h"] > 70.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] > 70.0)
        | (df["ROC_9_4h"] < 50.0)
      )
      # 1h & 4h up move, 1d still low, 15m & 4h still not high enough
      & (
        (df["RSI_3_1h"] < 95.0)
        | (df["RSI_3_4h"] < 80.0)
        | (df["RSI_14_1d"] > 50.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] > 70.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] > 70.0)
      )
      # 1h & 4h up move, 1d still low, 1h & 4h & 1d uptrend
      & (
        (df["RSI_3_1h"] < 90.0)
        | (df["RSI_3_4h"] < 90.0)
        | (df["RSI_14_1d"] > 50.0)
        | (df["ROC_9_1h"] < 20.0)
        | (df["ROC_9_4h"] < 20.0)
        | (df["ROC_9_1d"] < 20.0)
      )
      # 4h up move, 15m & 1h & 4h still not high enough, 1d still low, 4h still not high enough, 1d still low
      & (
        (df["RSI_3_4h"] < 90.0)
        | (df["RSI_14_15m"] > 80.0)
        | (df["RSI_14_1h"] > 80.0)
        | (df["RSI_14_4h"] > 80.0)
        | (df["RSI_14_1d"] > 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] > 80.0)
        | (df["STOCHRSIk_14_14_3_3_1d"] > 50.0)
      )
      # 4h up move, 15m & 1h & 4h still not high enough, 15m low, 15m & 1h & 4h uptrend
      & (
        (df["RSI_3_4h"] < 90.0)
        | (df["RSI_14_15m"] > 80.0)
        | (df["RSI_14_1h"] > 80.0)
        | (df["RSI_14_4h"] > 80.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] > 40.0)
        | (df["ROC_9_15m"] < 20.0)
        | (df["ROC_9_1h"] < 15.0)
        | (df["ROC_9_4h"] < 15.0)
      )
      # 4h up move, 15m & 1h & 4h still not high enough, 1h still low, 1h & 4h overbought
      & (
        (df["RSI_3_4h"] < 90.0)
        | (df["RSI_14_15m"] > 80.0)
        | (df["RSI_14_1h"] > 80.0)
        | (df["RSI_14_4h"] > 90.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] > 60.0)
        | (df["ROC_9_1h"] < 20.0)
        | (df["ROC_9_4h"] < 60.0)
      )
    )

    df["global_protections_short_pump"] = (
      # 15m & 1h & 4h & 1d up move, 15m & 1h & 4h still not high enough, 1d still not high enough & uptrend
      (
        (df["RSI_3_15m"] < 40.0)
        | (df["RSI_3_1h"] < 40.0)
        | (df["RSI_3_4h"] < 85.0)
        | (df["RSI_3_1d"] < 85.0)
        | (df["RSI_14_15m"] > 70.0)
        | (df["CCI_20_15m"] > 350.0)
        | (df["RSI_14_1h"] > 75.0)
        | (df["CCI_20_1h"] > 250.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] > 50.0)
        | (df["RSI_14_4h"] > 95.0)
        | (df["AROOND_14_4h"] < 50.0)
        | (df["CCI_20_4h"] > 250.0)
        | (df["RSI_14_1d"] > 60.0)
        | (df["AROOND_14_1d"] < 75.0)
        | (df["STOCHRSIk_14_14_3_3_1d"] > 70.0)
        | (df["ROC_9_1d"] < 40.0)
      )
      # 15m & 1h & 4h & 1d up move, 15m & 1h & 4h still not high enough, 1d still not high enough & uptrend
      & (
        (df["RSI_3_15m"] < 60.0)
        | (df["RSI_3_1h"] < 60.0)
        | (df["RSI_3_4h"] < 80.0)
        | (df["RSI_3_1d"] < 90.0)
        | (df["RSI_14_15m"] > 90.0)
        | (df["CCI_20_15m"] > 350.0)
        | (df["RSI_14_1h"] > 90.0)
        | (df["CCI_20_1h"] > 300.0)
        | (df["RSI_14_4h"] > 80.0)
        | (df["CCI_20_4h"] > 200.0)
        | (df["RSI_14_1d"] > 95.0)
        | (df["ROC_9_1d"] < 80.0)
      )
      # 1d green, 15m & 1h & 4h & 1d up move, 4h & 1d still not high enough & uptrend
      & (
        (df["RSI_3_15m"] < 60.0)
        | (df["RSI_3_1h"] < 70.0)
        | (df["RSI_3_4h"] < 70.0)
        | (df["RSI_3_1d"] < 80.0)
        | (df["RSI_14_4h"] > 70.0)
        | (df["WILLR_14_4h"] > -10.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] > 80.0)
        | (df["ROC_9_4h"] < 40.0)
        | (df["RSI_14_1d"] > 80.0)
        | (df["ROC_9_1d"] < 100.0)
      )
      # 15m & 1h & 1d up move, 15m & 1h & 4h still not high enough, 1d still not high enough & uptrend
      & (
        (df["RSI_3_15m"] < 65.0)
        | (df["RSI_3_1h"] < 70.0)
        | (df["RSI_3_1d"] < 60.0)
        | (df["RSI_14_15m"] > 90.0)
        | (df["CMF_20_15m"] > 0.40)
        | (df["WILLR_14_15m"] > -10.0)
        | (df["CCI_20_15m"] > 450.0)
        | (df["STOCHk_14_3_3_15m"] > 90.0)
        | (df["RSI_14_1h"] > 90.0)
        | (df["CMF_20_1h"] > 0.20)
        | (df["WILLR_14_1h"] > -5.0)
        | (df["CCI_20_1h"] > 250.0)
        | (df["RSI_14_4h"] > 90.0)
        | (df["CMF_20_4h"] > 0.10)
        | (df["CCI_20_4h"] > 250.0)
        | (df["RSI_14_1d"] > 90.0)
        | (df["ROC_9_1d"] < 25.0)
      )
      # 15m & 1h & 4h & 1d up move, 15m & 1h & 4h & 1d still not high enough, 1d uptrend
      & (
        (df["RSI_3_15m"] < 70.0)
        | (df["RSI_3_1h"] < 80.0)
        | (df["RSI_3_4h"] < 80.0)
        | (df["RSI_3_1d"] < 80.0)
        | (df["MFI_14_15m"] > 90.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] > 90.0)
        | (df["MFI_14_1h"] > 90.0)
        | (df["MFI_14_4h"] > 80.0)
        | (df["WILLR_14_4h"] > -5.0)
        | (df["AROOND_14_4h"] < 50.0)
        | (df["ROC_9_1d"] < 40.0)
      )
      # 15m & 1h up move, 15m & 1h & 4h still not high enough, 1d still not high enough & uptrend
      & (
        (df["RSI_3_15m"] < 70.0)
        | (df["RSI_3_1h"] < 85.0)
        | (df["MFI_14_15m"] > 90.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] > 80.0)
        | (df["RSI_14_1h"] > 80.0)
        | (df["MFI_14_1h"] > 80.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] > 70.0)
        | (df["RSI_14_4h"] > 80.0)
        | (df["RSI_14_1d"] > 80.0)
        | (df["ROC_9_1d"] < 40.0)
      )
      # 15m & 1h & 4h & 1d up move, 15m & 1h still not high enough, 4h & 1d stil not high enough & uptrend
      & (
        (df["RSI_3_15m"] < 80.0)
        | (df["RSI_3_1h"] < 80.0)
        | (df["RSI_3_4h"] < 80.0)
        | (df["RSI_3_1d"] < 95.0)
        | (df["RSI_14_15m"] > 85.0)
        | (df["CCI_20_15m"] > 250.0)
        | (df["RSI_14_1h"] > 85.0)
        | (df["CCI_20_1h"] > 250.0)
        | (df["CCI_20_change_pct_1h"] < -0.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] > 90.0)
        | (df["RSI_14_4h"] > 85.0)
        | (df["CCI_20_4h"] > 250.0)
        | (df["CCI_20_change_pct_4h"] < -0.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] > 90.0)
        | (df["ROC_9_4h"] < 30.0)
        | (df["RSI_14_1d"] > 90.0)
        | (df["WILLR_14_1d"] > -10.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 15m & 1h & 4h up move, 15m & 1h still not high enough, 4h still not high enough & uptrend
      & (
        (df["RSI_3_15m"] < 80.0)
        | (df["RSI_3_1h"] < 80.0)
        | (df["RSI_3_4h"] < 90.0)
        | (df["RSI_14_15m"] > 90.0)
        | (df["CCI_20_15m"] > 400.0)
        | (df["RSI_14_1h"] > 90.0)
        | (df["CCI_20_1h"] > 400.0)
        | (df["CCI_20_4h"] > 400.0)
        | (df["ROC_9_4h"] < 200.0)
      )
      # 15m & 1h up move, 15m & 1h & 4h still not high enough, 1d still not high enough & uptrend
      & (
        (df["RSI_3_15m"] < 80.0)
        | (df["RSI_3_1h"] < 90.0)
        | (df["RSI_14_15m"] > 85.0)
        | (df["CCI_20_15m"] > 250.0)
        | (df["RSI_14_1h"] > 75.0)
        | (df["AROOND_14_1h"] < 50.0)
        | (df["CCI_20_1h"] > 350.0)
        | (df["CCI_20_change_pct_1h"] < -0.0)
        | (df["RSI_14_4h"] > 85.0)
        | (df["CCI_20_4h"] > 150.0)
        | (df["CCI_20_change_pct_4h"] < -0.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] > 70.0)
        | (df["RSI_14_1d"] > 85.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 15m & 1h & 4h & 1d up move, 15m & 1h & 4h & 1d still not high enough
      & (
        (df["RSI_3_15m"] < 80.0)
        | (df["RSI_3_1h"] < 90.0)
        | (df["RSI_3_4h"] < 70.0)
        | (df["RSI_3_1d"] < 70.0)
        | (df["RSI_14_15m"] > 85.0)
        | (df["RSI_14_1h"] > 85.0)
        | (df["CCI_20_1h"] > 250.0)
        | (df["CCI_20_change_pct_1h"] < -0.0)
        | (df["RSI_14_4h"] > 70.0)
        | (df["AROOND_14_4h"] < 75.0)
        | (df["CCI_20_4h"] > 200.0)
        | (df["CCI_20_change_pct_4h"] < -0.0)
        | (df["STOCHk_14_3_3_4h"] > 70.0)
        | (df["RSI_14_1d"] > 70.0)
      )
      # 15m & 1h & 4h & 1d up move, 1h still not high enough, 1d still low, 4h & 1d uptrend
      & (
        (df["RSI_3_15m"] < 80.0)
        | (df["RSI_3_1h"] < 85.0)
        | (df["RSI_3_4h"] < 90.0)
        | (df["RSI_3_1d"] < 95.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] > 60.0)
        | (df["AROOND_14_1d"] < 50.0)
        | (df["ROC_9_4h"] < 100.0)
        | (df["ROC_9_1d"] < 100.0)
      )
      # 15m & 1h & 4h & 1d up move, 15m & 1h still not high enough, 4h & 1d still not high enough & uptrend
      & (
        (df["RSI_3_15m"] < 80.0)
        | (df["RSI_3_1h"] < 80.0)
        | (df["RSI_3_4h"] < 90.0)
        | (df["RSI_3_1d"] < 95.0)
        | (df["RSI_14_15m"] > 85.0)
        | (df["STOCHk_14_3_3_15m"] > 90.0)
        | (df["RSI_14_1h"] > 90.0)
        | (df["STOCHk_14_3_3_1h"] > 90.0)
        | (df["RSI_14_4h"] > 95.0)
        | (df["STOCHk_14_3_3_4h"] > 90.0)
        | (df["ROC_9_4h"] < 50.0)
        | (df["RSI_14_1d"] > 95.0)
        | (df["STOCHk_14_3_3_1d"] > 70.0)
        | (df["AROOND_14_1d"] < 50.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 15m & 1h & 4h up move, 1h & 4h still not high enough, 1d uptrend
      & (
        (df["RSI_3_15m"] < 85.0)
        | (df["RSI_3_1h"] < 80.0)
        | (df["RSI_3_4h"] < 60.0)
        | (df["WILLR_14_1h"] > -5.0)
        | (df["AROOND_14_1h"] < 25.0)
        | (df["WILLR_14_4h"] > -10.0)
        | (df["AROOND_14_4h"] < 50.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] > 60.0)
        | (df["ROC_9_1d"] < 50.0)
      )
      # 15m & 1h & 4h up move, 15m still not high enough, 1h & 4h still not high enough & uptrend, 1d still not high enough
      & (
        (df["RSI_3_15m"] < 85.0)
        | (df["RSI_3_1h"] < 85.0)
        | (df["RSI_3_4h"] < 90.0)
        | (df["RSI_14_15m"] > 95.0)
        | (df["CMF_20_15m"] > 0.50)
        | (df["UO_7_14_28_15m"] > 80.0)
        | (df["UO_7_14_28_change_pct_15m"] < -0.0)
        | (df["CCI_20_15m"] > 250.0)
        | (df["STOCHk_14_3_3_15m"] > 90.0)
        | (df["RSI_14_1h"] > 95.0)
        | (df["CMF_20_1h"] > 0.50)
        | (df["UO_7_14_28_1h"] > 80.0)
        | (df["CCI_20_1h"] > 350.0)
        | (df["ROC_9_1h"] < 10.0)
        | (df["RSI_14_4h"] > 90.0)
        | (df["CMF_20_4h"] > 0.35)
        | (df["UO_7_14_28_4h"] > 75.0)
        | (df["CCI_20_4h"] > 500.0)
        | (df["ROC_2_4h"] < 10.0)
        | (df["ROC_9_4h"] < 10.0)
        | (df["RSI_14_1d"] > 70.0)
      )
      # 15m & 1h & 4h up move, 15m & 1h & 4h still not high enough, 1d still not high enough & overbought
      & (
        (df["RSI_3_15m"] < 90.0)
        | (df["RSI_3_1h"] < 60.0)
        | (df["RSI_3_4h"] < 60.0)
        | (df["RSI_14_15m"] > 85.0)
        | (df["CCI_20_15m"] > 250.0)
        | (df["RSI_14_1h"] > 70.0)
        | (df["CCI_20_1h"] > 200.0)
        | (df["STOCHk_14_3_3_1h"] > 90.0)
        | (df["RSI_14_4h"] > 65.0)
        | (df["CCI_20_4h"] > 200.0)
        | (df["STOCHk_14_3_3_4h"] > 90.0)
        | (df["RSI_14_1d"] > 65.0)
        | (df["STOCHk_14_3_3_1d"] > 70.0)
        | (df["ROC_9_1d"] < 30.0)
      )
      # 15m & 1h & 4h & 1d up move, 15m & 1h & 4h still not high enough. 1d still not high enough & uptrend
      & (
        (df["RSI_3_15m"] < 95.0)
        | (df["RSI_3_1h"] < 80.0)
        | (df["RSI_3_4h"] < 80.0)
        | (df["RSI_3_1d"] < 80.0)
        | (df["RSI_14_15m"] > 90.0)
        | (df["RSI_14_1h"] > 90.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] > 70.0)
        | (df["RSI_14_4h"] > 90.0)
        | (df["WILLR_14_4h"] > -5.0)
        | (df["RSI_14_1d"] > 80.0)
        | (df["STOCHRSIk_14_14_3_3_1d"] > 80.0)
        | (df["ROC_9_1d"] < 40.0)
      )
      # 15m & 1h & 4h up move, 15m & 1h still not high enough, 4h still not high enough & uptrend
      & (
        (df["RSI_3_15m"] < 95.0)
        | (df["RSI_3_1h"] < 90.0)
        | (df["RSI_3_4h"] < 90.0)
        | (df["RSI_14_15m"] > 90.0)
        | (df["CCI_20_15m"] > 250.0)
        | (df["RSI_14_1h"] > 90.0)
        | (df["AROOND_14_1h"] < 25.0)
        | (df["CCI_20_1h"] > 300.0)
        | (df["STOCHk_14_3_3_1h"] > 90.0)
        | (df["RSI_14_4h"] > 95.0)
        | (df["CCI_20_4h"] > 300.0)
        | (df["ROC_9_4h"] < 20.0)
      )
      # 1h & 4h & 1d up move, 15m still not high enough, 1h & 4h & 1d still not high enough, 1d uptrend
      & (
        (df["RSI_3_1h"] < 80.0)
        | (df["RSI_3_4h"] < 60.0)
        | (df["RSI_3_1d"] < 90.0)
        | (df["STOCHRSIk_14_14_3_3_15m"] > 80.0)
        | (df["WILLR_14_1h"] > -20.0)
        | (df["WILLR_14_4h"] > -25.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] > 20.0)
        | (df["AROOND_14_1d"] < 50.0)
        | (df["ROC_9_1d"] < 20.0)
      )
    )

    df["global_protections_short_dump"] = (
      # 15m & 1h up move, 15m & 1h still not high enough, 4h still low, 1d still low & downtrend
      (
        (df["RSI_3_15m"] < 80.0)
        | (df["RSI_3_1h"] < 70.0)
        | (df["RSI_14_15m"] > 80.0)
        | (df["CCI_20_15m"] > 400.0)
        | (df["RSI_14_1h"] > 75.0)
        | (df["CCI_20_1h"] > 250.0)
        | (df["RSI_14_4h"] > 60.0)
        | (df["AROOND_14_4h"] < 50.0)
        | (df["CCI_20_4h"] > 200.0)
        | (df["RSI_14_1d"] > 50.0)
        | (df["AROOND_14_1d"] < 75.0)
        | (df["ROC_9_1d"] > -30.0)
      )
      # 15m up move, 15m still low, 1h & 4h & 1d still not high
      & (
        (df["RSI_3_15m"] < 85.0)
        | (df["AROOND_14_15m"] < 50.0)
        | (df["RSI_14_1h"] > 70.0)
        | (df["WILLR_14_1h"] > -50.0)
        | (df["STOCHRSIk_14_14_3_3_1h"] > 80.0)
        | (df["AROOND_14_1h"] < 75.0)
        | (df["RSI_14_4h"] > 70.0)
        | (df["WILLR_14_4h"] > -50.0)
        | (df["AROOND_14_4h"] < 25.0)
        | (df["STOCHRSIk_14_14_3_3_4h"] > 30.0)
        | (df["RSI_14_1d"] > 70.0)
      )
      # 1h & 4h up move, 15m & 1h & 4h still not high enough, 1d still low & downtrend
      & (
        (df["RSI_3_1h"] < 70.0)
        | (df["RSI_3_4h"] < 90.0)
        | (df["RSI_14_15m"] > 95.0)
        | (df["CCI_20_15m"] > 600.0)
        | (df["RSI_14_1h"] > 95.0)
        | (df["CCI_20_1h"] > 600.0)
        | (df["RSI_14_4h"] > 95.0)
        | (df["WILLR_14_4h"] > -10.0)
        | (df["CCI_20_4h"] > 600.0)
        | (df["RSI_14_1d"] > 40.0)
        | (df["ROC_9_1d"] > -20.0)
      )
    )

    df["protections_short_rebuy"] = True

    tok = time.perf_counter()
    log.debug(f"[{metadata['pair']}] Populate indicators took a total of: {tok - tik:0.4f} seconds.")

    return df

  # Confirm Trade Entry
  # ---------------------------------------------------------------------------------------------
  def confirm_trade_entry(
    self,
    pair: str,
    order_type: str,
    amount: float,
    rate: float,
    time_in_force: str,
    current_time: datetime,
    entry_tag: Optional[str],
    side: str,
    **kwargs,
  ) -> bool:
    # Force Entry
    if entry_tag == "force_entry":
      return True

    # Mode configurations (dynamic structure)
    mode_configs = {
      "grind": {
        "tags": self.long_grind_mode_tags,
        "coins": self.grind_mode_coins,
        "max_slots": self.grind_mode_max_slots,
        "log_message": "grind mode",
      },
      "top_coins": {
        "tags": self.long_top_coins_mode_tags,
        "coins": self.top_coins_mode_coins,
        "log_message": "top coins mode",
      },
      "scalp": {
        "tags": self.long_scalp_mode_tags,
        "min_free_slots": self.min_free_slots_scalp_mode,
        "log_message": "scalp mode",
      },
    }

    # Mode Validation
    for mode, config in mode_configs.items():
      if all(c in config["tags"] for c in entry_tag.split()):
        if mode == "grind":
          return self._handle_grind_mode(pair, config, current_time)
        elif mode == "top_coins":
          return self._handle_top_coins_mode(pair, config, current_time)
        elif mode == "scalp":
          return self._handle_scalp_mode(pair, config, current_time)

    # Long/Short Slot Validation (only in futures mode)
    if self.is_futures_mode and (self.futures_max_open_trades_long != 0 or self.futures_max_open_trades_short != 0):
      open_trades = Trade.get_trades_proxy(is_open=True)
      long_trades = sum(1 for t in open_trades if t.trade_direction == "long")
      short_trades = sum(1 for t in open_trades if t.trade_direction == "short")

      # Long trade limit validation
      if (
        side == "long" and self.futures_max_open_trades_long != 0 and long_trades >= self.futures_max_open_trades_long
      ):
        log.info(
          f"[{current_time}] Cancelling entry for {pair} due to long trades reaching the max limit of {self.futures_max_open_trades_long}."
        )
        return False

      # Short trade limit validation
      if (
        side == "short"
        and self.futures_max_open_trades_short != 0
        and short_trades >= self.futures_max_open_trades_short
      ):
        log.info(
          f"[{current_time}] Cancelling entry for {pair} due to short trades reaching the max limit of {self.futures_max_open_trades_short}."
        )
        return False

    # Slippage Validation
    df, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe)
    if len(df) >= 1:
      last_candle = df.iloc[-1].squeeze()
      if (side == "long" and rate > last_candle["close"]) or (side == "short" and rate < last_candle["close"]):
        slippage = (rate / last_candle["close"]) - 1.0
        if (side == "long" and slippage < self.max_slippage) or (side == "short" and slippage > -self.max_slippage):
          return True
        else:
          log.warning(f"[{current_time}] Cancelling entry for {pair} due to slippage {(slippage * 100.0):.2f}%")
          return False

    return True

  def _handle_grind_mode(self, pair: str, config: dict, current_time: datetime) -> bool:
    is_pair_grind_mode = pair.split("/")[0] in config["coins"]
    if not is_pair_grind_mode:
      log.info(f"[{current_time}] Cancelling entry for {pair} due to not being in grind mode coins list.")
      return False

    open_trades = Trade.get_trades_proxy(is_open=True)
    num_open_grind_mode = sum(1 for t in open_trades if all(c in config["tags"] for c in t.enter_tag.split()))
    if num_open_grind_mode >= config["max_slots"]:
      log.info(f"[{current_time}] Cancelling entry for {pair} due to grind mode slots limit reached.")
      return False

    return True

  def _handle_top_coins_mode(self, pair: str, config: dict, current_time: datetime) -> bool:
    is_pair_top_coins_mode = pair.split("/")[0] in config["coins"]
    if not is_pair_top_coins_mode:
      log.info(f"[{current_time}] Cancelling entry for {pair} due to not being in top coins list.")
      return False
    return True

  def _handle_scalp_mode(self, pair: str, config: dict, current_time: datetime) -> bool:
    current_free_slots = self.config["max_open_trades"] - Trade.get_open_trade_count()
    if current_free_slots < config["min_free_slots"]:
      log.info(f"[{current_time}] Cancelling entry for {pair} due to insufficient free slots.")
      return False
    return True

  # Confirm Trade Exit
  # ---------------------------------------------------------------------------------------------
  def confirm_trade_exit(
    self,
    pair: str,
    trade: Trade,
    order_type: str,
    amount: float,
    rate: float,
    time_in_force: str,
    exit_reason: str,
    current_time: datetime,
    **kwargs,
  ) -> bool:
    is_backtest = self.is_backtest_mode()
    # Allow force exits
    if exit_reason != "force_exit":
      if self._should_hold_trade(trade, rate, exit_reason):
        return False
      if exit_reason in ["stop_loss", "trailing_stop_loss"]:
        # log.info(f"[{current_time}] Cancelling {exit_reason} exit for {pair}")
        is_liquidation = False
        if self.is_futures_mode and is_backtest:
          if (trade.is_short and rate > trade.liquidation_price) or (
            not trade.is_short and rate < trade.liquidation_price
          ):
            is_liquidation = True
        if not is_liquidation:
          return False
      if self.exit_profit_only:
        profit = 0.0
        if trade.realized_profit != 0.0:
          profit = ((rate - trade.open_rate) / trade.open_rate) * trade.stake_amount * (1 - trade.fee_close)
          profit = profit + trade.realized_profit
          profit = profit / trade.stake_amount
        else:
          profit = trade.calc_profit_ratio(rate)
        if profit < self.exit_profit_offset:
          return False

    self._remove_profit_target(pair)
    return True

  # Bot Loop Start
  # ---------------------------------------------------------------------------------------------
  def bot_loop_start(self, current_time: datetime, **kwargs) -> None:
    if self.config["runmode"].value not in ("live", "dry_run"):
      return super().bot_loop_start(datetime, **kwargs)

    if self.hold_support_enabled:
      self.load_hold_trades_config()

    return super().bot_loop_start(current_time, **kwargs)

  # Leverage
  # ---------------------------------------------------------------------------------------------
  def leverage(
    self,
    pair: str,
    current_time: datetime,
    current_rate: float,
    proposed_leverage: float,
    max_leverage: float,
    entry_tag: Optional[str],
    side: str,
    **kwargs,
  ) -> float:
    enter_tags = entry_tag.split()
    if all(c in self.long_rebuy_mode_tags for c in enter_tags):
      return self.futures_mode_leverage_rebuy_mode
    elif all(c in self.long_grind_mode_tags for c in enter_tags):
      return self.futures_mode_leverage_grind_mode
    return self.futures_mode_leverage

  # Correct Min Stake
  # ---------------------------------------------------------------------------------------------
  def correct_min_stake(self, min_stake: float) -> float:
    if self.config["exchange"]["name"] in ["bybit"]:
      if self.is_futures_mode:
        if min_stake < 5.0 / self.futures_mode_leverage:
          min_stake = 5.0 / self.futures_mode_leverage
    return min_stake

  def is_backtest_mode(self) -> bool:
    """Check if the current run mode is backtest or hyperopt"""
    return self.dp.runmode.value in ["backtest", "hyperopt"]

  def is_system_v3(self, trade: Trade) -> bool:
    """Check if the current system is v3"""
    return trade.get_custom_data(key="system_version") == self.system_v3_name

  def is_system_v3_1(self, trade: Trade) -> bool:
    """Check if the current system is v3_1"""
    return trade.get_custom_data(key="system_version") == self.system_v3_1_name

  def is_system_v3_2(self, trade: Trade) -> bool:
    """Check if the current system is v3_2"""
    return trade.get_custom_data(key="system_version") == self.system_v3_2_name

  def has_valid_entry_conditions(self, trade: Trade, exit_rate: float, last_candle, previous_candle) -> bool:
    """Check if there are valid entry conditions"""
    filled_orders = trade.select_filled_orders()
    if len(filled_orders) < 1:
      return False
    slice_profit = (exit_rate - filled_orders[-1].safe_price) / filled_orders[-1].safe_price
    if not trade.is_short:
      return last_candle["enter_long"] or self.long_grind_entry(last_candle, previous_candle, slice_profit, False)
    else:
      return last_candle["enter_short"] or self.short_grind_entry(last_candle, previous_candle, slice_profit, False)
    return False

  # Update signals (enable/disable) from config
  # ---------------------------------------------------------------------------------------------
  def update_signals_from_config(self, config):
    # Update long entry signal parameters (if they exist in the config)
    if hasattr(self, "long_entry_signal_params") and "long_entry_signal_params" in config:
      for condition_key in self.long_entry_signal_params:
        if condition_key in config["long_entry_signal_params"]:
          self.long_entry_signal_params[condition_key] = config["long_entry_signal_params"][condition_key]

    # Update short entry signal parameters (if they exist in the config)
    if hasattr(self, "short_entry_signal_params") and "short_entry_signal_params" in config:
      for condition_key in self.short_entry_signal_params:
        if condition_key in config["short_entry_signal_params"]:
          self.short_entry_signal_params[condition_key] = config["short_entry_signal_params"][condition_key]

  # Set Profit Target
  # ---------------------------------------------------------------------------------------------
  def _set_profit_target(
    self, pair: str, sell_reason: str, rate: float, current_profit: float, current_time: datetime
  ):
    self.target_profit_cache.data[pair] = {
      "rate": rate,
      "profit": current_profit,
      "sell_reason": sell_reason,
      "time_profit_reached": current_time.isoformat(),
    }
    self.target_profit_cache.save()

  # Remove Profit Target
  # ---------------------------------------------------------------------------------------------
  def _remove_profit_target(self, pair: str):
    if self.target_profit_cache is not None:
      self.target_profit_cache.data.pop(pair, None)
      self.target_profit_cache.save()

  # Get Hold Trades Config File
  # ---------------------------------------------------------------------------------------------
  def get_hold_trades_config_file(self):
    proper_holds_file_path = self.config["user_data_dir"].resolve() / "nfi-hold-trades.json"
    if proper_holds_file_path.is_file():
      return proper_holds_file_path

    strat_file_path = pathlib.Path(__file__)
    hold_trades_config_file_resolve = strat_file_path.resolve().parent / "hold-trades.json"
    if hold_trades_config_file_resolve.is_file():
      log.warning(
        "Please move %s to %s which is now the expected path for the holds file",
        hold_trades_config_file_resolve,
        proper_holds_file_path,
      )
      return hold_trades_config_file_resolve

    # The resolved path does not exist, is it a symlink?
    hold_trades_config_file_absolute = strat_file_path.absolute().parent / "hold-trades.json"
    if hold_trades_config_file_absolute.is_file():
      log.warning(
        "Please move %s to %s which is now the expected path for the holds file",
        hold_trades_config_file_absolute,
        proper_holds_file_path,
      )
      return hold_trades_config_file_absolute

  # Load Hold Trades Config
  # ---------------------------------------------------------------------------------------------
  def load_hold_trades_config(self):
    if self.hold_trades_cache is None:
      hold_trades_config_file = self.get_hold_trades_config_file()
      if hold_trades_config_file:
        log.warning("Loading hold support data from %s", hold_trades_config_file)
        self.hold_trades_cache = HoldsCache(hold_trades_config_file)

    if self.hold_trades_cache:
      self.hold_trades_cache.load()

  # Should Hold Trade
  # ---------------------------------------------------------------------------------------------
  def _should_hold_trade(self, trade: "Trade", rate: float, sell_reason: str) -> bool:
    if self.config["runmode"].value not in ("live", "dry_run"):
      return False

    if not self.hold_support_enabled:
      return False

    # Just to be sure our hold data is loaded, should be a no-op call after the first bot loop
    self.load_hold_trades_config()

    if not self.hold_trades_cache:
      # Cache hasn't been setup, likely because the corresponding file does not exist, sell
      return False

    if not self.hold_trades_cache.data:
      # We have no pairs we want to hold until profit, sell
      return False

    # By default, no hold should be done
    hold_trade = False

    trade_ids: dict = self.hold_trades_cache.data.get("trade_ids")
    if trade_ids and trade.id in trade_ids:
      trade_profit_ratio = trade_ids[trade.id]
      filled_entries = trade.select_filled_orders(trade.entry_side)
      filled_exits = trade.select_filled_orders(trade.exit_side)
      profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio = self.calc_total_profit(
        trade, filled_entries, filled_exits, rate
      )
      current_profit_ratio = profit_init_ratio
      if sell_reason == "force_sell":
        formatted_profit_ratio = f"{trade_profit_ratio * 100}%"
        formatted_current_profit_ratio = f"{current_profit_ratio * 100}%"
        log.warning(
          "Force selling %s even though the current profit of %s < %s",
          trade,
          formatted_current_profit_ratio,
          formatted_profit_ratio,
        )
        return False
      elif current_profit_ratio >= trade_profit_ratio:
        # This pair is on the list to hold, and we reached minimum profit, sell
        formatted_profit_ratio = f"{trade_profit_ratio * 100}%"
        formatted_current_profit_ratio = f"{current_profit_ratio * 100}%"
        log.warning(
          "Selling %s because the current profit of %s >= %s",
          trade,
          formatted_current_profit_ratio,
          formatted_profit_ratio,
        )
        return False

      # This pair is on the list to hold, and we haven't reached minimum profit, hold
      hold_trade = True

    trade_pairs: dict = self.hold_trades_cache.data.get("trade_pairs")
    if trade_pairs and trade.pair in trade_pairs:
      trade_profit_ratio = trade_pairs[trade.pair]
      filled_entries = trade.select_filled_orders(trade.entry_side)
      filled_exits = trade.select_filled_orders(trade.exit_side)
      profit_stake, profit_ratio, profit_current_stake_ratio, profit_init_ratio = self.calc_total_profit(
        trade, filled_entries, filled_exits, rate
      )
      current_profit_ratio = profit_init_ratio
      if sell_reason == "force_sell":
        formatted_profit_ratio = f"{trade_profit_ratio * 100}%"
        formatted_current_profit_ratio = f"{current_profit_ratio * 100}%"
        log.warning(
          "Force selling %s even though the current profit of %s < %s",
          trade,
          formatted_current_profit_ratio,
          formatted_profit_ratio,
        )
        return False
      elif current_profit_ratio >= trade_profit_ratio:
        # This pair is on the list to hold, and we reached minimum profit, sell
        formatted_profit_ratio = f"{trade_profit_ratio * 100}%"
        formatted_current_profit_ratio = f"{current_profit_ratio * 100}%"
        log.warning(
          "Selling %s because the current profit of %s >= %s",
          trade,
          formatted_current_profit_ratio,
          formatted_profit_ratio,
        )
        return False

      # This pair is on the list to hold, and we haven't reached minimum profit, hold
      hold_trade = True

    return hold_trade

  # Populate Exit Trend
  # ---------------------------------------------------------------------------------------------
  def populate_exit_trend(self, df: DataFrame, metadata: dict) -> DataFrame:
    df.loc[:, "exit_long"] = 0
    df.loc[:, "exit_short"] = 0

    return df

  #
  # $$$$$$$$\ $$\   $$\ $$$$$$$$\ $$$$$$$\ $$\     $$\
  # $$  _____|$$$\  $$ |\__$$  __|$$  __$$\\$$\   $$  |
  # $$ |      $$$$\ $$ |   $$ |   $$ |  $$ |\$$\ $$  /
  # $$$$$\    $$ $$\$$ |   $$ |   $$$$$$$  | \$$$$  /
  # $$  __|   $$ \$$$$ |   $$ |   $$  __$$<   \$$  /
  # $$ |      $$ |\$$$ |   $$ |   $$ |  $$ |   $$ |
  # $$$$$$$$\ $$ | \$$ |   $$ |   $$ |  $$ |   $$ |
  # \________|\__|  \__|   \__|   \__|  \__|   \__|
  #

  #
  #  $$$$$$\   $$$$$$\  $$\   $$\ $$$$$$$\  $$$$$$\ $$$$$$$$\ $$$$$$\  $$$$$$\  $$\   $$\  $$$$$$\
  # $$  __$$\ $$  __$$\ $$$\  $$ |$$  __$$\ \_$$  _|\__$$  __|\_$$  _|$$  __$$\ $$$\  $$ |$$  __$$\
  # $$ /  \__|$$ /  $$ |$$$$\ $$ |$$ |  $$ |  $$ |     $$ |     $$ |  $$ /  $$ |$$$$\ $$ |$$ /  \__|
  # $$ |      $$ |  $$ |$$ $$\$$ |$$ |  $$ |  $$ |     $$ |     $$ |  $$ |  $$ |$$ $$\$$ |\$$$$$$\
  # $$ |      $$ |  $$ |$$ \$$$$ |$$ |  $$ |  $$ |     $$ |     $$ |  $$ |  $$ |$$ \$$$$ | \____$$\
  # $$ |  $$\ $$ |  $$ |$$ |\$$$ |$$ |  $$ |  $$ |     $$ |     $$ |  $$ |  $$ |$$ |\$$$ |$$\   $$ |
  # \$$$$$$  | $$$$$$  |$$ | \$$ |$$$$$$$  |$$$$$$\    $$ |   $$$$$$\  $$$$$$  |$$ | \$$ |\$$$$$$  |
  #  \______/  \______/ \__|  \__|\_______/ \______|   \__|   \______| \______/ \__|  \__| \______/
  #

  # Populate Entry Trend
  # ---------------------------------------------------------------------------------------------
  def populate_entry_trend(self, df: DataFrame, metadata: dict) -> DataFrame:
    long_entry_conditions = []
    short_entry_conditions = []

    df.loc[:, "enter_tag"] = ""
    df.loc[:, "enter_long"] = 0
    df.loc[:, "enter_short"] = 0

    is_backtest = self.dp.runmode.value in ["backtest", "hyperopt", "plot", "webserver"]
    # the number of free slots
    current_free_slots = self.config["max_open_trades"]
    if not is_backtest:
      current_free_slots = self.config["max_open_trades"] - Trade.get_open_trade_count()
    # Grind mode
    num_open_long_grind_mode = 0
    is_pair_long_grind_mode = metadata["pair"].split("/")[0] in self.grind_mode_coins
    if not is_backtest:
      open_trades = Trade.get_trades_proxy(is_open=True)
      for open_trade in open_trades:
        enter_tag = open_trade.enter_tag
        if enter_tag is not None:
          enter_tags = enter_tag.split()
          if all(c in self.long_grind_mode_tags for c in enter_tags):
            num_open_long_grind_mode += 1
    # Top Coins mode
    is_pair_long_top_coins_mode = metadata["pair"].split("/")[0] in self.top_coins_mode_coins
    is_pair_short_top_coins_mode = metadata["pair"].split("/")[0] in self.top_coins_mode_coins
    # if BTC/ETH stake
    is_btc_stake = self.config["stake_currency"] in self.btc_stakes
    allowed_empty_candles_288 = 144 if is_btc_stake else 60

    ###############################################################################################

    # LONG ENTRY CONDITIONS STARTS HERE

    ###############################################################################################

    #
    #  /$$       /$$$$$$ /$$   /$$ /$$$$$$        /$$$$$$$$/$$   /$$/$$$$$$$$/$$$$$$$$/$$$$$$$
    # | $$      /$$__  $| $$$ | $$/$$__  $$      | $$_____| $$$ | $|__  $$__| $$_____| $$__  $$
    # | $$     | $$  \ $| $$$$| $| $$  \__/      | $$     | $$$$| $$  | $$  | $$     | $$  \ $$
    # | $$     | $$  | $| $$ $$ $| $$ /$$$$      | $$$$$  | $$ $$ $$  | $$  | $$$$$  | $$$$$$$/
    # | $$     | $$  | $| $$  $$$| $$|_  $$      | $$__/  | $$  $$$$  | $$  | $$__/  | $$__  $$
    # | $$     | $$  | $| $$\  $$| $$  \ $$      | $$     | $$\  $$$  | $$  | $$     | $$  \ $$
    # | $$$$$$$|  $$$$$$| $$ \  $|  $$$$$$/      | $$$$$$$| $$ \  $$  | $$  | $$$$$$$| $$  | $$
    # |________/\______/|__/  \__/\______/       |________|__/  \__/  |__/  |________|__/  |__/
    #

    for enabled_long_entry_signal in self.long_entry_signal_params:
      long_entry_condition_index = int(enabled_long_entry_signal.split("_")[3])
      item_buy_protection_list = [True]
      if self.long_entry_signal_params[f"{enabled_long_entry_signal}"]:
        # Long Entry Conditions Starts Here
        # -----------------------------------------------------------------------------------------
        long_entry_logic = []
        long_entry_logic.append(reduce(lambda x, y: x & y, item_buy_protection_list))

        # Condition #1 - Normal mode (Long).
        if long_entry_condition_index == 1:
          # Protections
          long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288)
          long_entry_logic.append(df["protections_long_global"] == True)

          long_entry_logic.append(
            # 5m & 15m & 1h down move
            ((df["RSI_3"] > 3.0) | (df["RSI_3_15m"] > 3.0) | (df["RSI_3_change_pct_1h"] > -50.0))
            # 5m & 15m down move, 5h high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_15m"] > 5.0) | (df["RSI_14_4h"] < 60.0))
            # 5m & 15m down move, 4h high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_15m"] > 10.0) | (df["AROONU_14_4h"] < 100.0))
            # 5m & 1h down move
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 5.0))
            # 5m & 1h down move, 15m still not low enough
            & ((df["RSI_3"] > 5.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_15m"] < 30.0))
            # 5m & 1h down move, 4h high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 15m & 1h down move, 1d still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0))
            # 5m & 1h down move, 15m still not low enough
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 15.0) | (df["AROONU_14_15m"] < 30.0))
            # 5m & 4h down move, 4h high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 70.0))
            # 5m down move, 15m high
            & ((df["RSI_3"] > 3.0) | (df["AROONU_14_15m"] < 80.0))
            # 5m & 4h down move, 4h high
            & ((df["RSI_3"] > 5.0) | (df["RSI_3_4h"] > 35.0) | (df["AROONU_14_4h"] < 70.0))
            # 15m down move, 1h downtrend, 1h high
            & ((df["RSI_3_15m"] > 1.0) | (df["CMF_20_1h"] > -0.1) | (df["AROONU_14_1h"] < 70.0))
            # 15m & 1h & 4h down move
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 50.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1d"] < 100.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 15m & 1h & 4h & 1d down move
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 15.0))
            # 15m & 1h down move, 15m still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_15m"] < 40.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 70.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 80.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1h"] < 80.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 60.0))
            # 15m & 4h down move, 1d downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 30.0) | (df["ROC_9_1d"] > -50.0))
            # 15m & 4h down move, 4h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
            # 15m down move, 15m downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["CMF_20_15m"] > -0.40) | (df["ROC_9_15m"] > -20.0))
            # 15m down move, 15m still high, 15m downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["AROONU_14_15m"] < 40.0) | (df["ROC_9_15m"] > -20.0))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 3.0) | (df["AROONU_14_1h"] < 85.0) | (df["AROONU_14_4h"] < 90.0))
            # 15m down move, 4h high, 15m downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_15m"] > -20.0))
            # 15m down move, 4h high, 1d overbought
            & ((df["RSI_3_15m"] > 3.0) | (df["AROONU_14_4h"] < 85.0) | (df["ROC_9_1d"] < 100.0))
            # 15m down move, 1h high, 4h overbought
            & ((df["RSI_3_15m"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_4h"] < 10.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 3.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 30.0))
            # 15m down move, drop in last half hour, 15m downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["close"] > (df["close_max_6"] * 0.75)) | (df["ROC_9_15m"] > -20.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 5.0) | (df["AROONU_14_1h"] < 50.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 5.0) | (df["AROONU_14_4h"] < 70.0))
            # 15m & 1h down move, 1d overbought
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 5.0) | (df["ROC_9_1d"] < 40.0))
            # 5m & 1h down move, 1h overbought
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 60.0) | (df["ROC_9_1h"] < 40.0))
            # 15m & 4h down move, 1d still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 40.0))
            # 15m & 4h down move, 1d downtrend
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 5.0) | (df["ROC_9_1d"] > -20.0))
            # 15m & 4h down move, 1h still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 60.0))
            # 15m & 4h down move, 15m still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0))
            # 15m down move, 15m & 4h still high
            & ((df["RSI_3_15m"] > 5.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_4h"] < 60.0))
            # 15m down move, 15m still high, 1d overbought
            & ((df["RSI_3_15m"] > 5.0) | (df["AROONU_14_15m"] < 50.0) | (df["ROC_9_1d"] < 80.0))
            # 15m down move, 15m high
            & ((df["RSI_3_15m"] > 5.0) | (df["AROONU_14_15m"] < 80.0))
            # 15m down move, 4h high, 1d overbought
            & ((df["RSI_3_15m"] > 5.0) | (df["AROONU_14_4h"] < 60.0) | (df["ROC_9_1d"] < 80.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 15m & 1h down move, 1d downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["ROC_9_1d"] > -40.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_14_4h"] < 80.0))
            # 15m & 1h down move, 15m still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_15m"] < 50.0))
            # 15m & 1h down move, 4h overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 25.0) | (df["ROC_9_4h"] < 80.0))
            # 15m & 4h down move, 1h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["AROONU_14_1h"] < 75.0))
            # 15m & 4h down move, 15m still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0))
            # 15m & 4h down move, 1h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 15m & 4h down move, 4h downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_4h"] > -20.0))
            # 15m & 4h down move, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 25.0) | (df["ROC_9_1d"] < 30.0))
            # 15m & 4h down move, 1h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_1h"] < 85.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0))
            # 15m & 1d down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1d"] > 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0))
            # 15m down move & downtrend, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["CMF_20_15m"] > -0.3) | (df["AROONU_14_4h"] < 100.0))
            # 15m down move, 15m & 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_4h"] < 80.0))
            # 15m down move, 1h high & overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_1h"] < 20.0))
            # 15m down move, 1h high, 1d downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_1d"] > -40.0))
            # 15m down move, 1h high, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1h"] < 100.0) | (df["ROC_9_1d"] < 80.0))
            # 15m down move, 1h high, 4h downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_4h"] > -25.0))
            # 15m down move, 1h high, 1d downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_1d"] > -50.0))
            # 15m down move, 1h high & overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1h"] < 20.0))
            # 15m down move, 1h & 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_1d"] < 80.0))
            # 15m down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["ROC_9_4h"] < 60.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 80.0))
            # 15m down move, 15m still high, 4h overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_14_15m"] < 50.0) | (df["ROC_9_4h"] < 50.0))
            # 15m down move, 15m & 1h high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_1h"] < 100.0))
            # 15m down move, 15m & 1h high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 80.0) | (df["AROONU_14_1h"] < 90.0))
            # 15m & 4h down move, 15m still high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_4h"] > 35.0) | (df["AROONU_14_15m"] < 40.0))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1h"] < 100.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m down move, 1h high & overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1h"] < 100.0) | (df["ROC_9_1h"] < 20.0))
            # 15m down move, 1d overbought
            & ((df["RSI_3_15m"] > 30.0) | (df["ROC_9_1d"] < 80.0))
            # 15m & 4h down move, 15m high
            & ((df["RSI_3_15m"] > 40.0) | (df["RSI_3_4h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0))
            # 1h & 4h down move, 4h downtrend
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_4h"] > -10.0))
            # 1h & 4h down move, 1h still high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1h"] < 50.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1d"] < 90.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_1d"] < 100.0))
            # 1h & 1d down move, 4h still high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 5.0) | (df["ROC_9_1d"] < 10.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["AROONU_14_4h"] < 40.0))
            # 1h & 4h down move, 1h downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["CMF_20_1h"] > -0.3))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1d"] > -40.0))
            # 1h & 4h down move, 4h still not low enough
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 30.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 70.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 20.0) | (df["ROC_9_1d"] < 40.0))
            # 1h & 1d down move, 1d downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_1d"] > 5.0) | (df["ROC_9_1d"] > -30.0))
            # 1h down move, 1h still high, 4h high
            & ((df["RSI_3_1h"] > 5.0) | (df["AROONU_14_1h"] < 50.0) | (df["AROONU_14_4h"] < 90.0))
            # 1h down move, 1d high, 4h downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_4h"] > -30.0))
            # 1h & 4h down move, 15m still not low enough
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["AROONU_14_15m"] < 30.0))
            # 1h & 4h down move, 1h still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 1h & 1d down move, 4h high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 20.0) | (df["AROONU_14_4h"] < 80.0))
            # 1h down move, 4h high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_14_4h"] < 75.0))
            # 1h down move, 15m downtrend, 1d high
            & ((df["RSI_3_1h"] > 10.0) | (df["CMF_20_15m"] > -0.40) | (df["AROONU_14_1d"] < 70.0))
            # 1h down move, 1h high, 4h overbought
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] < 10.0))
            # 1h down move, 4h overbought
            & ((df["RSI_3_1h"] > 10.0) | (df["ROC_9_4h"] < 50.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 40.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 80.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 25.0) | (df["ROC_9_1d"] < 40.0))
            # 15m down move, 1h high, 1d downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] > -20.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] < 50.0))
            # 1h down move, 1h high
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 80.0))
            # 1h down mve, 4h high, 1d overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1d"] < 30.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 40.0))
            # 1h down move, 1h & 4h downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["ROC_9_1h"] > -30.0) | (df["ROC_9_4h"] > -30.0))
            # 1h & 4h down move, 4h overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 50.0) | (df["ROC_9_4h"] < 80.0))
            # 1h down move, 1h still high, 4h downtrend
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 40.0) | (df["ROC_9_4h"] > -30.0))
            # 1h down move, 4h high, 1d overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] < 200.0))
            # 1h down move, 4h high, 1d overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_1d"] < 60.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 50.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 80.0))
            # 1h down move, 1h high, 15n downtrend
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_15m"] > -20.0))
            # 1h down move, 1h still high, 1d overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_1d"] < 40.0))
            # 1h down move, 4h & 1d overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["ROC_9_4h"] < 80.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 4h high, 1d downtrend
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_1d"] > -20.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1d"] < 80.0))
            # 1h down move, 4h & 1d overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["ROC_9_4h"] < 40.0) | (df["ROC_9_1d"] < 80.0))
            # 1h down move, 1h downtrend, 1h high
            & ((df["RSI_3_1h"] > 40.0) | (df["CMF_20_1h"] > -0.25) | (df["AROONU_14_1h"] < 90.0))
            # 1h down move, 1h & 4h high
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 60.0) | (df["AROONU_14_4h"] < 100.0))
            # 1h down move, 1h high, 15m downtrend
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_15m"] > -15.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 1h & 4h high
            & ((df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 100.0))
            # 1h down move, 1h high & overbought
            & ((df["RSI_3_1h"] > 50.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_1h"] < 20.0))
            # 1h down move, 1h still high, 4h high
            & ((df["RSI_3_1h"] > 60.0) | (df["AROONU_14_1h"] < 50.0) | (df["RSI_14_4h"] < 90.0))
            # 4h & 1d down move, 1d high
            & ((df["RSI_3_4h"] > 5.0) | (df["RSI_3_1d"] > 20.0) | (df["AROONU_14_1d"] < 40.0))
            # 4h down move, 4h & 1d downtrend
            & ((df["RSI_3_4h"] > 5.0) | (df["ROC_9_4h"] > -30.0) | (df["ROC_9_1d"] > -40.0))
            # 4h & 1d down move, 4h still not low enough
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 15.0) | (df["AROONU_14_4h"] < 20.0))
            # 4h & 1d down move, 1d still high
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0))
            # 4h down move, 4h still high
            & ((df["RSI_3_4h"] > 10.0) | (df["AROONU_14_4h"] < 50.0))
            # 4h down move, 1d high
            & ((df["RSI_3_4h"] > 10.0) | (df["AROONU_14_1d"] < 100.0))
            # 4h down move, 1h high, 1d downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0) | (df["ROC_9_1d"] > -40.0))
            # 4h down move, 4h still not low enough, 1d downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 1h & 4h downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["ROC_9_1h"] > -30.0) | (df["ROC_9_4h"] > -30.0))
            # 4h down move, 4h & 1d downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 80.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] > -40.0))
            # 4h down move, 4h high, 1d overbought
            & ((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1d"] < 50.0))
            # 4h down move, 1d overbought
            & ((df["RSI_3_4h"] > 45.0) | (df["ROC_9_1d"] < 80.0))
            # 4h down move, 4h high, 1d overbought
            & ((df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] < 40.0))
            # 4h down move, 1h high, 1d overbought
            & ((df["RSI_3_4h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1d"] < 60.0))
            # 1d down move, 1h high, 1d downtrend
            & ((df["RSI_3_1d"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1d"] > -20.0))
            # 1d down move, 1h still high, 4h high
            & ((df["RSI_3_1d"] > 20.0) | (df["AROONU_14_1h"] < 50.0) | (df["AROONU_14_4h"] < 90.0))
            # 1d down move, 1h & 4h high
            & ((df["RSI_3_1d"] > 25.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 90.0))
            # 1d down move, 1d high
            & ((df["RSI_3_1d"] > 40.0) | (df["AROONU_14_1d"] < 80.0))
            # 1d down move, 4h still high, 1d overbought
            & ((df["RSI_3_1d"] > 50.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] < 200.0))
            # 1d down move, 1d high & overbought
            & ((df["RSI_3_1d"] > 60.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 50.0))
            # 1h down move, 4h high, 1d overbought
            & ((df["RSI_3_change_pct_1h"] > -75.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_1d"] < 100.0))
            # 15m & 1h & 4h downtrend
            & ((df["CMF_20_15m"] > -0.3) | (df["CMF_20_1h"] > -0.3) | (df["CMF_20_4h"] > -0.3))
            # 15m high, 1d overbought
            & ((df["AROONU_14_15m"] < 70.0) | (df["ROC_9_1d"] < 80.0))
            # 1h still high, 1h & 4h downtrend
            & ((df["AROONU_14_1h"] < 40.0) | (df["ROC_9_1h"] > -20.0) | (df["ROC_9_4h"] > -30.0))
            # 1h & 4h high, 1h overbought
            & ((df["AROONU_14_1h"] < 85.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_1h"] < 20.0))
            # 1h high, 1h & 4h overbought
            & ((df["AROONU_14_1h"] < 85.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_1d"] < 30.0))
            # 1h high, 1h overbought, 1d downtrend
            & ((df["AROONU_14_1h"] < 85.0) | (df["ROC_9_1h"] < 20.0) | (df["ROC_9_1d"] > -40.0))
            # 4h & 1d high, 1d overbought
            & ((df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 50.0))
            # 4h high, 1h downtrend
            & ((df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1h"] > -15.0))
            # 4h high, 1d downtrend
            & ((df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1d"] > -40.0))
            # 1d high, 4h downtrend, 1d overbought
            & ((df["AROONU_14_1d"] < 85.0) | (df["ROC_9_4h"] > -25.0) | (df["ROC_9_1d"] < 50.0))
            # 1d high, 1h & 4h downtrend
            & ((df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1h"] > -10.0) | (df["ROC_9_4h"] > -20.0))
            # 1d high, 4h & 1d overbought
            & ((df["AROONU_14_1d"] < 90.0) | (df["ROC_9_4h"] < 40.0) | (df["ROC_9_1d"] < 80.0))
            # 1h high, 4h overbought
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_4h"] < 80.0))
            # 4h high, 1h downtrend
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_1h"] > -15.0))
            # 4h high, 1d downtrend
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_1d"] > -40.0))
            # 5m down move, 15m still not low enough, 1h high
            & ((df["ROC_2"] > -10.0) | (df["AROONU_14_15m"] < 30.0) | (df["AROONU_14_1h"] < 80.0))
            # 5m down move, 15m still high
            & ((df["ROC_2"] > -10.0) | (df["AROONU_14_15m"] < 50.0))
            # 5m down move, 15m & 1h down move, 15m still high
            & (
              (df["ROC_9"] > -15.0) | (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 35.0) | (df["AROONU_14_15m"] < 50.0)
            )
            # 5m down move, 4h down move, 15m downtrend, 1h high
            & (
              (df["ROC_9"] > -15.0) | (df["RSI_3_4h"] > 45.0) | (df["CMF_20_15m"] > -0.3) | (df["AROONU_14_1h"] < 60.0)
            )
            # 1h downtrend, 4h high & overbought
            & ((df["ROC_9_1h"] > -25.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 80.0))
            # 1h & 4h overbought, 1d downtrend
            & ((df["ROC_9_1h"] < 20.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] > -40.0))
            # 1d P&D, 1d downtrend
            & ((df["change_pct_1d"] > -5.0) | (df["change_pct_1d"].shift(288) < 30.0) | (df["CMF_20_1d"] > -0.0))
            # 1d green with top wick, 1h down move
            & ((df["change_pct_1d"] < 20.0) | (df["top_wick_pct_1d"] < 15.0) | (df["RSI_3_1h"] > 20.0))
            # 1d green with top wick, 4h high
            & ((df["change_pct_1d"] < 25.0) | (df["top_wick_pct_1d"] < 25.0) | (df["AROONU_14_4h"] < 80.0))
            # 1d green, 1h down move, 1d downtrend
            & ((df["change_pct_1d"] < 40.0) | (df["RSI_3_1h"] > 25.0) | (df["CMF_20_1d"] > -0.2))
            # 1d green with top wick, 4h overbought
            & ((df["change_pct_1d"] < 50.0) | (df["top_wick_pct_1d"] < 30.0) | (df["ROC_9_4h"] < 80.0))
            # big drop in the last hour, 15m downtrend
            & ((df["close"] > (df["close_max_12"] * 0.65)) | (df["CMF_20_15m"] > -0.5))
            # big drop in the last 6 hours, 1h down move, 1h high
            & ((df["close"] > (df["high_max_6_1h"] * 0.60)) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 60.0))
            # big drop in the last 24 hours,  1h still high
            & ((df["close"] > (df["high_max_24_1h"] * 0.40)) | (df["STOCHRSIk_14_14_3_3_1h"] < 45.0))
            # big drop in the last 4 days, 1h high
            & ((df["close"] > (df["high_max_24_4h"] * 0.20)) | (df["AROONU_14_1h"] < 70.0))
            # big drop in the last 20 days, 1d high, 1d downtrend
            & (
              (df["close"] > (df["high_max_20_1d"] * 0.20))
              | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0)
              | (df["ROC_9_1d"] > -15.0)
            )
          )

          # Logic
          long_entry_logic.append(
            (df["EMA_26"] > df["EMA_12"])
            & ((df["EMA_26"] - df["EMA_12"]) > (df["open"] * 0.034))
            & ((df["EMA_26"].shift() - df["EMA_12"].shift()) > (df["open"] / 100.0))
            & (df["close"] < (df["BBL_20_2.0"] * 0.999))
          )

        # Condition #2 - Normal mode (Long).
        if long_entry_condition_index == 2:
          # Protections
          long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288)
          long_entry_logic.append(df["protections_long_global"] == True)

          long_entry_logic.append(
            # 5m & 1h down move, 1h still not low enough
            ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 30.0))
            # 5m & 1h down move, 1d high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1d"] < 100.0))
            # 5m & 1h down move, 1h still high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 5m & 1h down move, 1d high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1d"] < 100.0))
            # 5m & 4h down move, 15m still not low enough
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_4h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0))
            # 5m & 4h down move, 1d downtrend
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_1d"] > -30.0))
            # 5m & 4h down move, 4h high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_4h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 5m & 4h down move, 15m still high
            & ((df["RSI_3"] > 5.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0))
            # 5m & 1d down move, 1h still high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1d"] > 10.0) | (df["AROONU_14_1h"] < 40.0))
            # 5m & 1d down move, 1h still high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1d"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 5m & 1d down move, 1d downtrend
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1d"] > 15.0) | (df["CMF_20_1d"] > -0.25))
            # 5m & 1d down move, 15m still high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0))
            # 5m down move, 1h high
            & ((df["RSI_3"] > 3.0) | (df["AROONU_14_1h"] < 80.0))
            # 5m down move, 4h high, 1d overbought
            & ((df["RSI_3"] > 3.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1d"] < 30.0))
            # 5m down move, 4h high & overbought
            & ((df["RSI_3"] > 3.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 20.0))
            # 5m down move, 4h & 1d overbought
            & ((df["RSI_3"] > 3.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 40.0))
            # 5m down move, 1d downtrend
            & ((df["RSI_3"] > 3.0) | (df["ROC_9_1d"] > -40.0))
            # 5m & 15m down move, 15m still high
            & ((df["RSI_3"] > 5.0) | (df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0))
            # 5m & 15m down move, 1h high
            & ((df["RSI_3"] > 5.0) | (df["RSI_3_15m"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
            # 5m & 4h down move, 1d downtrend
            & ((df["RSI_3"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1d"] > -20.0))
            # 5m & 4h down move, 4h still not low enough
            & ((df["RSI_3"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0))
            # 5m down move, 4h high, 1h overbought
            & ((df["RSI_3"] > 10.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1h"] < 30.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 1.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 15m & 1h & 4h down move
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 15.0))
            # 15m & 1h down move, 4h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 3.0) | (df["AROONU_14_4h"] < 50.0))
            # 15m & 1h down move, 15m downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 5.0) | (df["CMF_20_15m"] > -0.30))
            # 15m & 1h down move, 15m still not low enough
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 5.0) | (df["AROONU_14_15m"] < 30.0))
            # 15m & 1h down move, 1h still not low enough
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 5.0) | (df["AROONU_14_1h"] < 25.0))
            # 15m & 1h down move, 1h still not low enough
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0))
            # 15m & 1h & 4h down move
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0))
            # 15m & 1h down move, 1d downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["ROC_9_1d"] > -40.0))
            # 15m & 1h down move, 15m downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 15.0) | (df["CMF_20_15m"] > -0.40))
            # 15m & 1h down move, 4h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 70.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 60.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 40.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 70.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1h"] < 85.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
            # 15m & 4h down move, 4h downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 5.0) | (df["CMF_20_4h"] > -0.35))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 10.0) | (df["AROONU_14_1d"] < 80.0))
            # 15m & 4h down move, 1d downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1d"] > -20.0))
            # 15m & 4h down move, 4h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0))
            # 15m & 4h down move, 4h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
            # 15m down move, 15m still not low enough, 1h high
            & ((df["RSI_3_15m"] > 3.0) | (df["AROONU_14_15m"] < 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0))
            # 15m down move, 15m still not low enough, 1h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["AROONU_14_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 15m down move, 1h high, 1d overbought
            & ((df["RSI_3_15m"] > 3.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] < 20.0))
            # 15m down move, 4h still high, 15m downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["AROONU_14_4h"] < 40.0) | (df["CMF_20_15m"] > -0.35))
            # 15m down move, 4h high, 1d overbought
            & ((df["RSI_3_15m"] > 3.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] < 30.0))
            # 15m down move, 4h & 1d downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["ROC_9_4h"] > -30.0) | (df["ROC_9_1d"] > -50.0))
            # 15m & 1h & 4h down move
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0))
            # 15m & 1h down move, 4h still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_14_4h"] < 40.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 40.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1h"] < 80.0))
            # 15m & 4h down move, 1d still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 40.0))
            # 15m & 4h down move, 15m still not low enough
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0))
            # 15m & 4h down move, 15m still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_15m"] < 40.0))
            # 15m & 4h down move, 1h still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 15m & 4h down move, 4h still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
            # 15m & 4h down move, 1d overbought
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 20.0) | (df["ROC_9_1d"] < 10.0))
            # 15m & 4h down move, 4h still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 45.0) | (df["AROONU_14_4h"] < 40.0))
            # 15m & 1d down move, 15m still not low enough
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1d"] > 10.0) | (df["AROONU_14_15m"] < 30.0))
            # 15m & 1d down move, 1h high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1d"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0))
            # 15m down move, 15m downtrend, 4h still not low enough
            & ((df["RSI_3_15m"] > 5.0) | (df["CMF_20_15m"] > -0.30) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0))
            # 15m down move, 15m still not low enough, 4h high
            & ((df["RSI_3_15m"] > 5.0) | (df["AROONU_14_15m"] < 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 15m down move, 15m stil high, 1h still high
            & ((df["RSI_3_15m"] > 5.0) | (df["AROONU_14_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 15m down move, 1d high & overbought
            & ((df["RSI_3_15m"] > 5.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 20.0))
            # 15m down move, 15m still not low enough, 1h still high
            & (
              (df["RSI_3_15m"] > 5.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
            )
            # 15m down move, 1h still high, 4h overbought
            & ((df["RSI_3_15m"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_4h"] < 30.0))
            # 15m down move, 1h high & overbought
            & ((df["RSI_3_15m"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1h"] < 20.0))
            # 15m & 1h down move, 15m high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 50.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_4h"] < 60.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 80.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 75.0))
            # 15m & 1h down move, 4h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 50.0))
            # 15m & 1h down move, 1d downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 25.0) | (df["ROC_9_1d"] > -50.0))
            # 15m & 1h down move, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 30.0) | (df["ROC_9_1d"] < 30.0))
            # 15m & 1h down move, 4h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 35.0) | (df["RSI_14_4h"] < 50.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 16m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 55.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 55.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 70.0))
            # 15m & 4h down move, 4h still not low enough
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0))
            # 15m & 4h down move, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1d"] < 20.0))
            # 15m & 4h down move, 4h still not low enough
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_1d"] < 90.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
            # 15m & 4h down move, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["ROC_9_1d"] < 30.0))
            # 15m & 4h down move, 4h overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 55.0) | (df["ROC_9_4h"] < 50.0))
            # 15m & 1d down move, 1d still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1d"] > 10.0) | (df["RSI_14_1d"] < 40.0))
            # 15m & 1d down move, 1h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1d"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0))
            # 15m & 1d down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0))
            # 15m down move, 15m downtrend, 1h high
            & ((df["RSI_3_15m"] > 10.0) | (df["CMF_20_15m"] > -0.40) | (df["AROONU_14_1h"] < 80.0))
            # 15m down move, 1h high, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1d"] < 20.0))
            # 15m down move, 4h & 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_4h"] < 70.0) | (df["AROONU_14_1d"] < 100.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] < 10.0))
            # 15m down move, 15m still not low enough, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["AROONU_14_4h"] < 70.0))
            # 15m down move, 15m sill high, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0) | (df["AROONU_14_4h"] < 60.0))
            # 15m down move, 4h high, 1d downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1d"] > -30.0))
            # 15m & 1h down move, 4h downtrend
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 15.0) | (df["ROC_9_4h"] > -20.0))
            # 15m & 1h down move, 1h downtrend
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 20.0) | (df["CMF_20_1h"] > -0.30))
            # 15m & 1h down move, 1d overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 25.0) | (df["ROC_9_1d"] < 100.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 80.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 70.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1d"] < 90.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 15m & 4h down move, 1h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1h"] < 70.0))
            # 15m & 4h down move, 4h downtrend
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_4h"] > -20.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 90.0))
            # 15m & 1d down move, 1h still high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1d"] > 15.0) | (df["AROONU_14_1h"] < 40.0))
            # 15m & 1d down move, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1d"] > 30.0) | (df["AROONU_14_4h"] < 90.0))
            # 15m down move, 15m still not low enough, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 25.0) | (df["AROONU_14_4h"] < 60.0))
            # 15m down move, 15m still not low enough, 1h high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 30.0) | (df["AROONU_14_1h"] < 70.0))
            # 15m down move, 15m & 4h still high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 40.0) | (df["AROONU_14_4h"] < 40.0))
            # 15m down move, 1h still high, 4h overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_1h"] < 50.0) | (df["ROC_9_4h"] < 60.0))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_1h"] < 60.0) | (df["AROONU_14_4h"] < 90.0))
            # 15m down move, 1h & 1d high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_1d"] < 90.0))
            # 15m down move, 4h high, 4h downtrend
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_4h"] < 60.0) | (df["ROC_9_4h"] > -20.0))
            # 15m down move, 4h & 1d high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_4h"] < 75.0) | (df["AROONU_14_1d"] < 100.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 10.0))
            # 15m down move, 15m still high, 1d overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["ROC_9_1d"] < 100.0))
            # 15m down move, 1h high & overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1h"] < 10.0))
            # 15m down move, 4h high, 1d overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_1d"] < 10.0))
            # 15m & 1h down move, 15m still not low enough
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_15m"] < 30.0))
            # 15m & 1h down move, 4h overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 20.0) | (df["ROC_9_4h"] < 50.0))
            # 15m & 1h down move, 15m high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 80.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 70.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
            # 15m & 4h down move, 1h high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_4h"] < 80.0))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 80.0))
            # 15m down move, 1h & 1d high
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_1d"] < 80.0))
            # 15m down move, 1h high, 1d downtrend
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_1d"] > -30.0))
            # 15m down move, 1h high, 1d overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_1d"] < 100.0))
            # 15m down move, 1h high, 1d downtrend
            & ((df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1d"] > -20.0))
            # 15m down move, 1h high & overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1h"] < 10.0))
            # 15m & 1h down move, 1d overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 40.0) | (df["ROC_9_1d"] < 80.0))
            # 15m & 4h down move, 1h overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_4h"] > 35.0) | (df["ROC_9_1h"] < 100.0))
            # 15m down move, 15m still not low enough, 1h high
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m down move, 1h high, 1d overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] < 50.0))
            # 15m down move, 4h high, 1d overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] < 50.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 30.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] < 50.0))
            # 15m down move, 1h high, 1d downtrend
            & ((df["RSI_3_15m"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1d"] > -20.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 30.0))
            # 15m down move, 1h high, 4h overbought
            & ((df["RSI_3_15m"] > 35.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_4h"] < 80.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 35.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_4h"] < 50.0))
            # 15m down move, 4h high, 1d overbought
            & ((df["RSI_3_15m"] > 35.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1h"] < 20.0))
            # 15m down move, 1h high, 1d overbought
            & ((df["RSI_3_15m"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1d"] < 80.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 40.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 40.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 1.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_1d"] > -10.0))
            # 1h down move, 15m downtrend, 1h still high
            & ((df["RSI_3_1h"] > 3.0) | (df["CMF_20_15m"] > -0.40) | (df["AROONU_14_1h"] < 40.0))
            # 1h & 4h down move, 15m downtrend
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 3.0) | (df["ROC_9_15m"] > -30.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 5.0) | (df["AROONU_14_4h"] < 40.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_14_4h"] < 40.0))
            # 1h & 4h down move, 1h still not low enough
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1h"] < 20.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 80.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 25.0) | (df["ROC_9_1d"] < 10.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 70.0))
            # 1h & 1d down move, 15m still high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_1d"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0))
            # 1h & 4h down move, 1d still high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 5.0) | (df["ROC_9_1d"] > -30.0))
            # 1h % 4h down move, 4h downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["CMF_20_4h"] > -0.30))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
            # 1h & 4h down move, 15m high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0))
            # 1h & 4h down move, 1h still high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1h"] < 50.0))
            # 1h & 4h down move, 4h downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_4h"] > -30.0))
            # 1h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_1d"] > -50.0))
            # 1h & 4h & 1d down move
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 15.0))
            # 1h & 4h down move, 1d still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["AROONU_14_1d"] < 40.0))
            # 1h & 4h down move, 1h still not low enough
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1d"] > -20.0))
            # 1h & 4h down move, 15m high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_1d"] > -40.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
            # 1h & 1d down move, 15m still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 35.0) | (df["RSI_14_4h"] < 40.0))
            # 1h down move, 1h still not low enough 1d overbought
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 30.0) | (df["ROC_9_1d"] < 100.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_14_1d"] < 60.0))
            # 1h & 4h down move, 1h still not low enough
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1h"] < 20.0))
            # 1h & 4h down move, 15m still high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0))
            # 1h & 4h down move, 4h downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_4h"] > -20.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_14_4h"] < 40.0))
            # 1h & 4h down move, 4h still not low enough
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0))
            # 1h & 4h down move, 4h downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 30.0) | (df["ROC_9_4h"] > -30.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_4h"] < 70.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
            # 1h & 1d down move, 1d high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_1d"] > 25.0) | (df["AROONU_14_1d"] < 80.0))
            # 1h & 1d down move, 1d overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_1d"] > 35.0) | (df["ROC_9_1d"] < 10.0))
            # 1h down move, 1h still high, 1d downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 40.0) | (df["ROC_9_1d"] > -40.0))
            # 1h down move, 4h high, 1d high
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_4h"] < 60.0) | (df["AROONU_14_1d"] < 100.0))
            # 1h down move, 4h high, 1d overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_4h"] < 60.0) | (df["ROC_9_1d"] < 50.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0) | (df["ROC_9_4h"] < 10.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 40.0))
            # 1h down move, 4h & 1d downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -20.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["ROC_9_1d"] < 20.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
            # 1h & 1d down move, 1h still high
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_1d"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 1h down move, 1h high, 4h downtrend
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] > -10.0))
            # 1h down move, 1h high, 4h overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] < 10.0))
            # 1h down move, 1h high, 1h still not low enough
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1d"] < 80.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 20.0))
            # 1h down move, 1d high, 4h downtrend
            & ((df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["ROC_9_4h"] > -20.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 60.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 30.0) | (df["ROC_9_1d"] > -30.0))
            # 1h down move, 1h & 4h high
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 60.0) | (df["AROONU_14_4h"] < 90.0))
            # 1h down move, 1h high
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 85.0))
            # 1h down move, 4h high, 4h downtrend
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 70.0) | (df["CMF_20_4h"] > -0.50))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 40.0))
            # 1h down move, 4h & 1d overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 1h & 4h high
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 60.0) | (df["AROONU_14_4h"] < 100.0))
            # 1h down move, 1h high, 4h overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] < 10.0))
            # 1h down move, 4h & 1d high
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0))
            # 1h down move, 4h high, 1d overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1d"] < 30.0))
            # 1h down move, 4h downtrend, 1d overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["ROC_9_4h"] > -30.0) | (df["ROC_9_1d"] < 200.0))
            # 1h down move, 4h & 1d downtrend
            & ((df["RSI_3_1h"] > 30.0) | (df["ROC_9_4h"] > -25.0) | (df["ROC_9_1d"] > -60.0))
            # 1h & 4h down move, 1h still high
            & ((df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 1h down move, 1h still high, 4h downtrend
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 50.0) | (df["ROC_9_4h"] > -20.0))
            # 1h down move, 1h high, 1d downtrend
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] > -25.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_4h"] < 85.0) | (df["ROC_9_4h"] < 100.0))
            # 1h down move, 4h high, 1d overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_4h"] < 85.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 1d high, 4h overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 40.0))
            # 1h down move, 1h still high, 1d overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_1d"] < 200.0))
            # 1h down move, 1h & 4h high
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 100.0))
            # 1h down move, 1h & 1d high
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_1d"] < 80.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1d"] < 10.0))
            # 1h down move, 4h still high, 1d overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_4h"] < 40.0) | (df["ROC_9_1d"] < 100.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 45.0) | (df["RSI_3_4h"] > 60.0) | (df["AROONU_14_4h"] < 100.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 45.0) | (df["RSI_3_4h"] > 65.0) | (df["ROC_9_1d"] < 200.0))
            # 1h down move, 1h high & overbought
            & ((df["RSI_3_1h"] > 50.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1h"] < 10.0))
            # 1h down move, 4h high, 1h overbought
            & ((df["RSI_3_1h"] > 50.0) | (df["AROONU_14_4h"] < 85.0) | (df["ROC_9_1h"] < 20.0))
            # 1h down move, 4h high, 1d downtrend
            & ((df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0) | (df["ROC_9_1d"] > -60.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 100.0))
            # 1h down move, 1h & 4h overbought
            & ((df["RSI_3_1h"] > 50.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_4h"] < 100.0))
            # 1h down move, 1h high & overbought
            & ((df["RSI_3_1h"] > 55.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_1h"] < 10.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 55.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 10.0))
            # 1h down move, 1h high & overbought
            & ((df["RSI_3_1h"] > 55.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1h"] < 10.0))
            # 4h & 1d down move, 1d still high
            & ((df["RSI_3_4h"] > 3.0) | (df["RSI_3_1d"] > 15.0) | (df["AROONU_14_1d"] < 40.0))
            # 4h & 1d down move, 1d still high
            & ((df["RSI_3_4h"] > 3.0) | (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 40.0))
            # 4h & 1d down move, 1d downtrend
            & ((df["RSI_3_4h"] > 5.0) | (df["RSI_3_1d"] > 15.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 15m still high
            & ((df["RSI_3_4h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0))
            # 4h & 1d down move, 1h still not low enough
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0))
            # 4h & 1d down move, 1d still high
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 40.0))
            # 4h & 1d down move, 1d downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 20.0) | (df["ROC_9_1d"] > -25.0))
            # 4h & 1d down move, 1d high
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 35.0) | (df["AROONU_14_1d"] < 100.0))
            # 4h & 1d down move, 1d overbought
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 45.0) | (df["ROC_9_1d"] < 10.0))
            # 4h down move, 1d still high, 1d downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["AROONU_14_1d"] < 40.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 10.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1d"] < 40.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["ROC_9_1d"] > -20.0))
            # 4h & 1d down move, 1d high
            & ((df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 20.0) | (df["AROONU_14_1d"] < 60.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] > -20.0))
            # 4h & 1d down move, 4h still high
            & ((df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0))
            # 4h & 1d down move, 1d high
            & ((df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0))
            # 4h down move, 1h high, 1d downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_1d"] > -10.0))
            # 4h down move, 4h still high, 4h downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_4h"] > -20.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1d"] < 50.0))
            # 4h & 1d down move, 1d overbought
            & ((df["RSI_3_4h"] > 25.0) | (df["RSI_3_1d"] > 40.0) | (df["ROC_9_1d"] < 30.0))
            # 4h down move, 4h still high, 1d overbought
            & ((df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 40.0) | (df["ROC_9_1d"] < 100.0))
            # 4h down move, 4h still high. 4h downtrend
            & ((df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 50.0) | (df["CMF_20_4h"] > -0.40))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] > -40.0))
            # 4h down move, 4h high, 4h downtrend
            & ((df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] > -30.0))
            # 4h & 1d down move, 1d overbought
            & ((df["RSI_3_4h"] > 30.0) | (df["RSI_3_1d"] > 60.0) | (df["ROC_9_1d"] < 60.0))
            # 4h down move, 1d downtrend
            & ((df["RSI_3_4h"] > 30.0) | (df["ROC_9_1d"] > -50.0))
            # 4h down move, 4h & 1d overbought
            & ((df["RSI_3_4h"] > 35.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 200.0))
            # 4h down move, 1h high, 1d overbought
            & ((df["RSI_3_4h"] > 40.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] < 40.0))
            # 4h down move, 4h & 1d downtrend
            & ((df["RSI_3_4h"] > 40.0) | (df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0))
            # 4h down move, 4h high, 1d downtrend
            & ((df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_1d"] > -60.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 100.0))
            # 4h & 1d down move, 1d high
            & ((df["RSI_3_4h"] > 45.0) | (df["RSI_3_1d"] > 45.0) | (df["AROONU_14_1d"] < 100.0))
            # 4h down move, 4h high, 1d downtrend
            & ((df["RSI_3_4h"] > 45.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 4h high & overbought
            & ((df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] < 10.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 50.0) | (df["AROONU_14_1d"] < 85.0) | (df["ROC_9_1d"] < 80.0))
            # 4h down move, 1d high, 4h overbought
            & ((df["RSI_3_4h"] > 55.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_4h"] < 10.0))
            # 4h down move, 4h high & overbought
            & ((df["RSI_3_4h"] > 60.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] < 20.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 60.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 200.0))
            # 4h down move, 4h & 1d overbought
            & ((df["RSI_3_4h"] > 60.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 20.0))
            # 4h down move, 4h overbought
            & ((df["RSI_3_4h"] > 60.0) | (df["ROC_9_4h"] < 60.0))
            # 1d down move, 1d high, 1d downtrend
            & ((df["RSI_3_1d"] > 5.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] > -20.0))
            # 1d down move, 1h & 4h high
            & ((df["RSI_3_1d"] > 10.0) | (df["AROONU_14_1h"] < 50.0) | (df["AROONU_14_4h"] < 90.0))
            # 1d down move, 1h high
            & ((df["RSI_3_1d"] > 10.0) | (df["AROONU_14_1h"] < 70.0))
            # 1d down move, 1h high, 1d downtrend
            & ((df["RSI_3_1d"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1d"] > -20.0))
            # 1d down move, 1h overbought, 1d downtrend
            & ((df["RSI_3_1d"] > 15.0) | (df["ROC_9_1h"] < 20.0) | (df["ROC_9_1d"] > -50.0))
            # 1d down move, 1h high, 1d downtrend
            & ((df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1d"] > -10.0))
            # 1d down move, 1h high, 1d overbought
            & ((df["RSI_3_1d"] > 25.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] < 25.0))
            # 1d down move, 1d still high, 1d downtrend
            & ((df["RSI_3_1d"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] > -20.0))
            # 1d down move, 1h high & overbought
            & ((df["RSI_3_1d"] > 40.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1d"] < 80.0))
            # 1d down move, 4h high & overbought
            & ((df["RSI_3_1d"] > 45.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_4h"] < 60.0))
            # 1d downtrend, 1d high & overbought
            & ((df["CMF_20_1d"] > -0.40) | (df["AROONU_14_1d"] < 85.0) | (df["ROC_9_1d"] < 20.0))
            # 1h high, 4h & 1d overbought
            & ((df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] < 50.0) | (df["ROC_9_1d"] < 200.0))
            # 1h & 4h high, 1d overbought
            & ((df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_1d"] < 50.0))
            # 1h & 4h high, 1d downtrend
            & ((df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1d"] > -40.0))
            # 1h high, 4h & 1d downtrend
            & ((df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] > -30.0) | (df["ROC_9_1d"] > -50.0))
            # 1h & 4h high, 1h overbought
            & ((df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_1h"] < 30.0))
            # 1h & 4high, 1d downtrend
            & ((df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1d"] > -20.0))
            # 1h & 4h high, 1d overbought
            & ((df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1d"] < 80.0))
            # 1h & 1d high, 1d overbought
            & ((df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 30.0))
            # 1h high, 1d downtrend
            & ((df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1d"] > -40.0))
            # 1h & 4h high, 1d overbought
            & ((df["AROONU_14_1h"] < 90.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1d"] < 30.0))
            # 1h high, 4h & 1d overbought
            & ((df["AROONU_14_1h"] < 90.0) | (df["ROC_9_4h"] < 40.0) | (df["ROC_9_1d"] < 40.0))
            # 4h still high, 5m downtrend
            & ((df["AROONU_14_4h"] < 40.0) | (df["ROC_9"] > -40.0))
            # 4h high & overbought
            & ((df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] < 80.0))
            # 4h & 1d high, 1d overbought
            & ((df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 40.0))
            # 4h high, 1h & 4h overbought
            & ((df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_4h"] < 20.0))
            # 1d high, 1d downtrend
            & ((df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] > -30.0))
            # 1d high, 1h & 4h downtrend
            & ((df["AROONU_14_1d"] < 85.0) | (df["ROC_9_1h"] > -30.0) | (df["ROC_9_4h"] > -50.0))
            # 1d high, 4h & 1d overbought
            & ((df["AROONU_14_1d"] < 85.0) | (df["ROC_9_4h"] < 60.0) | (df["ROC_9_1d"] < 60.0))
            # 1d high, 1h & 4h down move
            & ((df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1h"] < 25.0) | (df["ROC_9_4h"] < 60.0))
            # 15m high, 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_15m"] < 70.0) | (df["ROC_9_1d"] < 60.0))
            # 1h high, 1d downtrend
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_1d"] > -50.0))
            # 1h high, 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_1d"] < 40.0))
            # 1h high, 4h downtrend
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_4h"] > -20.0))
            # 1h high, 4h overbought
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_4h"] < 80.0))
            # 4h high, 1h & 4h overbought
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_4h"] < 20.0))
            # 1d high, 1h & 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_1d"] < 80.0))
            # 1d high, 4h & 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["ROC_9_4h"] < 60.0) | (df["ROC_9_1d"] < 60.0))
            # big drop in the last 20 days, 1d high, 1d downtrend
            & (
              (df["close"] > (df["high_max_20_1d"] * 0.20))
              | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0)
              | (df["ROC_9_1d"] > -15.0)
            )
            # drop in last 20 days, 1h high, 1d downtrend
            & ((df["close"] > (df["high_max_20_1d"] * 0.20)) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] > -70.0))
            # drop in last 20 days. 4h high
            & ((df["close"] > (df["high_max_20_1d"] * 0.10)) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0))
          )

          # Logic
          long_entry_logic.append(
            # (df["RSI_3"] > 5.0)
            (df["AROONU_14"] < 30.0)
            & (df["STOCHRSIk_14_14_3_3"] < 30.0)
            # & (df["RSI_3_15m"] > 5.0)
            & (df["AROONU_14_15m"] < 50.0)
            & (df["close"] < (df["EMA_20"] * 0.948))
          )

        # Condition #3 - Normal mode (Long).
        if long_entry_condition_index == 3:
          # Protections
          long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288)
          long_entry_logic.append(df["protections_long_global"] == True)

          long_entry_logic.append(
            # 5m & 4h down move, 1h still high
            ((df["RSI_3"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 5m down move, 15m high, 1d overbought
            & ((df["RSI_3"] > 5.0) | (df["AROONU_14_15m"] < 70.0) | (df["ROC_9_1d"] < 40.0))
            # 5m down move, 15m still high, 1d downtrend
            & ((df["RSI_3"] > 5.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["ROC_9_1d"] > -20.0))
            # 5m down move, 1h still high, 4h downtrend
            & ((df["RSI_3"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_4h"] > -10.0))
            # 5m down move, 1h high. 1d downtrend
            & ((df["RSI_3"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1d"] > -30.0))
            # 5m down move, 15m & 1h high
            & ((df["RSI_3"] > 10.0) | (df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_1h"] < 100.0))
            # 5m down move, 15m & 1d high
            & ((df["RSI_3"] > 10.0) | (df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_1d"] < 100.0))
            # 5m down move, 1h & 1d high
            & ((df["RSI_3"] > 15.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_1d"] < 90.0))
            # 15m & 1h dowbn move, 1d high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
            # 15m & 1d down move, 1h high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0))
            # 15m & 1h down move, 15m still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 35.0) | (df["AROONU_14_15m"] < 50.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 15m & 4h down move, 15m still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_15m"] < 50.0))
            # 15m down move, 15m still high, 1h high
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0))
            # 15m down move, 15m still high, 1h high
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
            # 15m down move, 15m still high, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_15m"] < 50.0) | (df["ROC_9_1d"] < 100.0))
            # 15m down move, 15m high, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_15m"] < 60.0) | (df["ROC_9_1d"] < 50.0))
            # 15m down move, 4h high, 1d downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1d"] > -20.0))
            # 15m & 1h down move, 4h still high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 35.0) | (df["AROONU_14_4h"] < 50.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 50.0) | (df["AROONU_14_1h"] < 75.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 70.0))
            # 15m & 4h down move, 1d downtrend
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_1d"] > -30.0))
            # 15m & 4h down move, 15m still high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 100.0))
            # 15m & 1d down move, 15m high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1d"] > 15.0) | (df["AROONU_14_15m"] < 70.0))
            # 15m down move, 4h downtrend. 15m high
            & ((df["RSI_3_15m"] > 15.0) | (df["CMF_20_4h"] > -0.30) | (df["AROONU_14_15m"] < 60.0))
            # 15m down move, 15m still high, 1h still high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 40.0) | (df["AROONU_14_1h"] < 50.0))
            # 15m down move, 15m high, 4h downtrend
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 60.0) | (df["ROC_9_4h"] > -20.0))
            # 15m down move, 15m high, 1d downtrend
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 60.0) | (df["ROC_9_1d"] > -70.0))
            # 15m down move, 15m high, 1d overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 60.0) | (df["ROC_9_1d"] < 100.0))
            # 15m down move, 15m & 1h high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_1h"] < 70.0))
            # 15m down move, 15m & 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_4h"] < 70.0))
            # 15m down move, 15m & 1d high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_1d"] < 100.0))
            # 15m down move, 15m still high, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 15m down move, 15m high, 1d overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 70.0) | (df["ROC_9_1d"] < 50.0))
            # 15m down move, 4h high, 1d downtrend
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] > -40.0))
            # 15m down move, 1h high, 1d overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1d"] < 20.0))
            # 15m down move, 4h & 1d overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["ROC_9_4h"] < 25.0) | (df["ROC_9_1d"] < 100.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 40.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1h"] < 85.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 45.0) | (df["AROONU_14_4h"] < 80.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1d"] < 100.0))
            # 15m & 4h down move, 15m high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_15m"] < 60.0))
            # 15m & 4h down move, 15m high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_15m"] < 75.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_4h"] > 60.0) | (df["AROONU_14_4h"] < 70.0))
            # 15m & 1h down move, 15m still high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1d"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0))
            # 15m & 1d down move, 1h still high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1d"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 15m & 1d down move, 1h high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1d"] > 40.0) | (df["AROONU_14_1h"] < 90.0))
            # 15m &1d down move, 1d overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1d"] > 50.0) | (df["ROC_9_1d"] < 20.0))
            # 15m down move, 15m still not low enough, 4h overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 30.0) | (df["ROC_9_4h"] < 60.0))
            # 15m down move, 15m still high, 4h high
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0))
            # 15m down move, 15m still high, 1h high
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_1h"] < 100.0))
            # 15m down move, 15m still high, 4h high
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_4h"] < 70.0))
            # 15m down move, 15m still high, 1d overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 50.0) | (df["ROC_9_1d"] < 50.0))
            # 15m down move, 15m high, 4h downtrend
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 60.0) | (df["ROC_9_4h"] > -40.0))
            # 15m down move, 15m high, 4h overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 60.0) | (df["ROC_9_4h"] < 10.0))
            # 15m down move, 15m high, 4h overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 70.0) | (df["ROC_9_4h"] < 20.0))
            # 15m down move, 15m high, 1d downtrend
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 70.0) | (df["ROC_9_1d"] > -20.0))
            # 15m down move, 15m high, 1d overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 70.0) | (df["ROC_9_1d"] < 50.0))
            # 15m down move, 1h high, 4h overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_4h"] < 20.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] < 50.0))
            # 15m down move, 1h high, 4h downtrend
            & ((df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0) | (df["ROC_9_4h"] > -20.0))
            # 15m down move, 1h high, 1d overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1d"] < 30.0))
            # 15m down move, 1h high
            & ((df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0))
            # 15m down move, 4h still high, 1d downtrend
            & ((df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["ROC_9_1d"] > -20.0))
            # 15m down move, 4h high, 1d downtrend
            & ((df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1d"] > -30.0))
            # 15m down move, 4h & 1d overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["ROC_9_4h"] < 25.0) | (df["ROC_9_1d"] < 100.0))
            # 15m & 1h down move, 15m high
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_15m"] < 70.0))
            # 15m & 4h down move, 15m high
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_15m"] < 75.0))
            # 15m & 4h down move, 1h high
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_1h"] < 100.0))
            # 15m & 4h down move, 1h high
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_4h"] > 60.0) | (df["AROONU_14_1h"] < 100.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_4h"] > 60.0) | (df["AROONU_14_4h"] < 80.0))
            # 15m & 1d down move, 1d high
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1d"] > 30.0) | (df["AROONU_14_1d"] < 75.0))
            # 15m & 1d down move, 1d high
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1d"] > 45.0) | (df["AROONU_14_1d"] < 90.0))
            # 15m down move, 15m high, 4h downtrend
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 70.0) | (df["ROC_9_4h"] > -20.0))
            # 15m down move, 15m high, 4h overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 70.0) | (df["ROC_9_4h"] < 10.0))
            # 15m down move, 15m high, 1d overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 70.0) | (df["ROC_9_1d"] < 60.0))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 70.0))
            # 15m down move, 1h high, 1d downtrend
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] > -10.0))
            # 15m down move, 1h high, 1d overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_1d"] < 20.0))
            # 15m down move, 4h high, 1d high
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_4h"] < 60.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 10.0))
            # 15m down move, 15m still high, 1h still high
            & ((df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["AROONU_14_1h"] < 50.0))
            # 15m down move, 1h high, 4h high
            & ((df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m down move, 4h & 1d overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["ROC_9_4h"] < 50.0) | (df["ROC_9_1d"] < 50.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 80.0))
            # 15m & 1h down move, 1d overbought
            & ((df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 30.0) | (df["ROC_9_1d"] < 40.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 30.0) | (df["RSI_3_4h"] > 35.0) | (df["AROONU_14_4h"] < 70.0))
            # 15m down move, 1d high, 15m high
            & ((df["RSI_3_15m"] > 30.0) | (df["RSI_14_1d"] < 70.0) | (df["AROONU_14_15m"] < 70.0))
            # 15m down move, 15m high, 1d downtrend
            & ((df["RSI_3_15m"] > 30.0) | (df["AROONU_14_15m"] < 60.0) | (df["ROC_9_1d"] > -40.0))
            # 15m down move, 15m high, 15m downtrend
            & ((df["RSI_3_15m"] > 30.0) | (df["AROONU_14_15m"] < 70.0) | (df["CMF_20_15m"] > -0.30))
            # 15m down move, 15m high, 1d overbought
            & ((df["RSI_3_15m"] > 30.0) | (df["AROONU_14_15m"] < 70.0) | (df["ROC_9_1d"] < 70.0))
            # 15m down move, 1h high, 1d overbought
            & ((df["RSI_3_15m"] > 30.0) | (df["AROONU_14_1h"] < 100.0) | (df["ROC_9_1d"] < 30.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 30.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] < 60.0))
            # 15m down move, 15m high, 4h overbought
            & ((df["RSI_3_15m"] > 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0) | (df["ROC_9_4h"] < 70.0))
            # 15m down move, 1h high, 1d overbought
            & ((df["RSI_3_15m"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1d"] < 50.0))
            # 15m down move, 15m high, 4h high
            & ((df["RSI_3_15m"] > 35.0) | (df["AROONU_14_15m"] < 60.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0))
            # 15m down move, 15m high, 4h overbought
            & ((df["RSI_3_15m"] > 35.0) | (df["AROONU_14_15m"] < 70.0) | (df["ROC_9_4h"] < 80.0))
            # 15m down move, 1h high, 4h overbought
            & ((df["RSI_3_15m"] > 35.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_4h"] < 100.0))
            # 15m down move, 4h high, 1d overbought
            & ((df["RSI_3_15m"] > 35.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1d"] < 200.0))
            # 15m down move, 1h high, 1d downtrend
            & ((df["RSI_3_15m"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1d"] > -50.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_4h"] < 20.0))
            # 15m down move, 15m high, 1h downtrend
            & ((df["RSI_3_15m"] > 40.0) | (df["AROONU_14_15m"] < 70.0) | (df["ROC_9_1h"] > -20.0))
            # 15m down move, 15m & 4h high
            & ((df["RSI_3_15m"] > 40.0) | (df["AROONU_14_15m"] < 75.0) | (df["AROONU_14_4h"] < 75.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 30.0))
            # 1h & 4h down move, 15m still high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["AROONU_14_4h"] < 50.0))
            # 1h down move, 4h still high, 4h downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_4h"] < 40.0) | (df["ROC_9_4h"] > -20.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] < 20.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_14_1d"] < 60.0))
            # 1h & 4h down move, 15m high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_15m"] < 70.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["ROC_9_1d"] > -30.0))
            # 1h & 1d down move, 1d overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_1d"] > 35.0) | (df["ROC_9_1d"] < 10.0))
            # 1h & 1d down move, 1d overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_1d"] > 60.0) | (df["ROC_9_1d"] < 40.0))
            # 1h down move, 1h still not low enough, 1d downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["ROC_9_1d"] > -30.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_1d"] < 80.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 25.0) | (df["ROC_9_1d"] < 30.0))
            # 1h down move, 4h high, 1d overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1d"] < 100.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_4h"] < 80.0))
            # 1h & 1d down move, 1d still high
            & ((df["RSI_3_1h"] > 25.0) | (df["RSI_3_1d"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] < 20.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 20.0))
            # 1h down move, 4h high, 1d downtrend
            & ((df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0) | (df["ROC_9_1d"] > -20.0))
            # 1h down move, 4h downtrend, 1d overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["ROC_9_4h"] > -40.0) | (df["ROC_9_1d"] < 50.0))
            # 1h down move, 15m & 1h still high
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_15m"] < 40.0) | (df["AROONU_14_1h"] < 50.0))
            # 1h down move, 1h still high 1d overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 50.0) | (df["ROC_9_1d"] < 200.0))
            # 1h down move, 1h high, 4h downtrend
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 60.0) | (df["ROC_9_4h"] > -20.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] < 30.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0) | (df["ROC_9_4h"] < 20.0))
            # 1h down move, 4h & 1h overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 40.0))
            # 1h & 1d down move, 1h high
            & ((df["RSI_3_1h"] > 35.0) | (df["RSI_3_1d"] > 35.0) | (df["AROONU_14_1h"] < 75.0))
            # 1h down move, 15m still high, 4h  high
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_15m"] < 40.0) | (df["AROONU_14_4h"] < 80.0))
            # 1h down move, 15m still high, 4h high
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 1h down move, 15m still high, 4h high
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_4h"] < 70.0))
            # 1h down move, 15m & 1d high
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_15m"] < 60.0) | (df["AROONU_14_1d"] < 80.0))
            # 1h down move, 1h & 4h high
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0))
            # 1h down move, 1h & 1d high
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_1d"] < 90.0))
            # 1h down move, 1h downtrend, 4h overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["CMF_20_1h"] > -0.30) | (df["ROC_9_4h"] < 20.0))
            # 1h down move, 1h high, 1d downtrend
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] > -80.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1d"] < 50.0))
            # 1h down move, 4h high, 1d downtrend
            & ((df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1d"] > -50.0))
            # 1h & 4h down move, 1h high
            & ((df["RSI_3_1h"] > 40.0) | (df["RSI_3_4h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 40.0) | (df["RSI_3_4h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0))
            # 1h down move, 15m still high, 4h downtrend
            & ((df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0) | (df["ROC_9_4h"] > -15.0))
            # 1h down move, 15m still high, 1d overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_15m"] < 50.0) | (df["ROC_9_1d"] < 50.0))
            # 1h down move, 15m & 4h high
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_4h"] < 70.0))
            # 1h down move, 1h still high, 4h high
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 1h down move, 1h still high, 1d overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 50.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 1h high, 4h overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] < 20.0))
            # 1h down move, 1h high, 1d downtrend
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 85.0) | (df["ROC_9_1d"] > -60.0))
            # 1h down move, 1h & 4h high
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 90.0) | (df["AROONU_14_4h"] < 100.0))
            # 1h down move, 1h high, 1d downtrend
            & ((df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["CMF_20_1d"] > -0.20))
            # 1h down move, 4h & 1d overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 50.0))
            # 1h down move, 15m high, 4h overbought
            & ((df["RSI_3_1h"] > 45.0) | (df["AROONU_14_15m"] < 70.0) | (df["ROC_9_4h"] < 30.0))
            # 1h down move, 1h high, 4h overbought
            & ((df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1h"] < 100.0) | (df["ROC_9_4h"] < 20.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 45.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 20.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 45.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 40.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 30.0))
            # 1h down move, 1h still high, 1d overbought
            & ((df["RSI_3_1h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["ROC_9_1d"] < 200.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["ROC_9_1d"] < 10.0))
            # 1h down move, 15m & 1h high
            & ((df["RSI_3_1h"] > 50.0) | (df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_1h"] < 100.0))
            # 1h down move, 1h high, 4h overbought
            & ((df["RSI_3_1h"] > 50.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_4h"] < 10.0))
            # 1h down move, 4h still high, 1d overbought
            & ((df["RSI_3_1h"] > 50.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] < 200.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 50.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 50.0))
            # 1h down move, 1h & 4h high
            & ((df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["AROONU_14_4h"] < 100.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_4h"] < 10.0))
            # 1h down move, 1h high, 1d high
            & ((df["RSI_3_1h"] > 55.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["AROONU_14_1d"] < 100.0))
            # 1h down move, 1h high, 1d downtrend
            & ((df["RSI_3_1h"] > 55.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1d"] > -30.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 55.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 100.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 15m & 1h high
            & ((df["RSI_3_1h"] > 65.0) | (df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_1h"] < 100.0))
            # 1h down move, 1h high & overbought
            & ((df["RSI_3_1h"] > 65.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1h"] < 10.0))
            # 4h down move, 1h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 1h still high, 4h downtrend
            & ((df["RSI_3_4h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_4h"] > -30.0))
            # 4h down move, 4h & 1d downtrend
            & ((df["RSI_3_4h"] > 3.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 15m high, 1h still high
            & ((df["RSI_3_4h"] > 5.0) | (df["AROONU_14_15m"] < 70.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 4h down move, 15m high
            & ((df["RSI_3_4h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["ROC_9_1d"] > -20.0))
            # 4h & 1d down move, 1d still high
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0))
            # 4h & 1d down move, 1d downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 20.0) | (df["ROC_9_1d"] > -20.0))
            # 4h & 1d down move, 4h still high
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
            # 4h & 1d down move, 1d still high
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 40.0))
            # 4h down move, 15m still not low enough, 1d downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["ROC_9_1d"] > -40.0))
            # 4h down move, 15m high, 4h downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 60.0) | (df["ROC_9_4h"] > -50.0))
            # 4h down move, 15m high
            & ((df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0))
            # 4h & 1d down move, 15m high
            & ((df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 35.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0))
            # 4h & 1d down move, 4h high
            & ((df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 4h & 1d down move, 1d high
            & ((df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 40.0) | (df["AROONU_14_1d"] < 70.0))
            # 4h down move, 15m still high, 1h high
            & ((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0))
            # 4h down move, 15m & 1d high
            & ((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_1d"] < 80.0))
            # 4h down move, 15m high
            & ((df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 80.0))
            # 4h down move, 1d high
            & ((df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0))
            # 4h down move, 1h & 4h downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["ROC_9_1h"] > -30.0) | (df["ROC_9_4h"] > -30.0))
            # 4h & 1d down move, 1h still high
            & ((df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 20.0) | (df["AROONU_14_1h"] < 40.0))
            # 4h & 1d down move, 15m high
            & ((df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0))
            # 4h & 1d down move, 1d overbought
            & ((df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 55.0) | (df["ROC_9_1d"] < 50.0))
            # 4h down move, 15m & 4h still high
            & ((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_4h"] < 50.0))
            # 4h down move, 15m high, 1d high
            & ((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_15m"] < 70.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] > -40.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1d"] < 10.0))
            # 4h down move, 15m high, 4h downtrend
            & ((df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 80.0) | (df["ROC_9_4h"] > -50.0))
            # 4h down move, 1h high, 1d downtrend
            & ((df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0) | (df["ROC_9_1d"] > -40.0))
            # 4h down move, 4h still not low enough, 4h downtrend
            & ((df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["ROC_9_4h"] > -10.0))
            # 4h down move, 4h high, 1d downtrend
            & ((df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0) | (df["ROC_9_1d"] > -60.0))
            # 4h & 1d down move, 1d overbought
            & ((df["RSI_3_4h"] > 25.0) | (df["RSI_3_1d"] > 40.0) | (df["ROC_9_1d"] < 30.0))
            # 4h & 1d down move, 1d high
            & ((df["RSI_3_4h"] > 25.0) | (df["RSI_3_1d"] > 45.0) | (df["AROONU_14_1d"] < 80.0))
            # 4h down move, 15m still high, 1h high
            & ((df["RSI_3_4h"] > 25.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_1h"] < 100.0))
            # 4h down move, 15m & 4h still high
            & ((df["RSI_3_4h"] > 25.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_4h"] < 50.0))
            # 4h down move, 15m high, 1d overbought
            & ((df["RSI_3_4h"] > 25.0) | (df["AROONU_14_15m"] < 70.0) | (df["ROC_9_1d"] < 100.0))
            # 4h down move, 1h high, 1d overbought
            & ((df["RSI_3_4h"] > 25.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_1d"] < 50.0))
            # 4h down move, 4h & 1d high
            & ((df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 60.0) | (df["AROONU_14_1d"] < 100.0))
            # 4h down move, 4h high, 1d downtrend
            & ((df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 60.0) | (df["ROC_9_1d"] > -70.0))
            # 4h down move, 4h high, 1d downtrend
            & ((df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 4h high, 1d overbought
            & ((df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] < 40.0))
            # 4h down move, 1h still high, 1d overbought
            & ((df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_1d"] < 100.0))
            # 4h down move, 4h high, 1d downtrend
            & ((df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1d"] > -50.0))
            # 4h down move, 1h high, 1h downtrend
            & ((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1h"] > -10.0))
            # 4h & 1d down move, 1d overbought
            & ((df["RSI_3_4h"] > 30.0) | (df["RSI_3_1d"] > 50.0) | (df["ROC_9_1d"] < 100.0))
            # 4h down move, 1d downtrend, 1d overbought
            & ((df["RSI_3_4h"] > 30.0) | (df["CMF_20_1d"] > -0.30) | (df["ROC_9_1d"] < 40.0))
            # 4h down move, 15m high, 4h high
            & ((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_15m"] < 60.0) | (df["AROONU_14_4h"] < 90.0))
            # 4h down move, 1h high, 1d downtrend
            & ((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 1h high, 1d downtrend
            & ((df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1d"] > -40.0))
            # 4h down move, 1h high, 1d overbought
            & ((df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1d"] < 50.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["ROC_9_1d"] < 10.0))
            # 4h down move, 15m still high, 1h high
            & ((df["RSI_3_4h"] > 35.0) | (df["AROONU_14_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0))
            # 4h down move, 15m still high, 4h high
            & ((df["RSI_3_4h"] > 35.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_4h"] < 80.0))
            # 4h down move, 15m high, 1h high
            & ((df["RSI_3_4h"] > 35.0) | (df["AROONU_14_15m"] < 70.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0))
            # 4h down move, 4h & 1d high
            & ((df["RSI_3_4h"] > 35.0) | (df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0))
            # 4h down move, 1d high, 1d downtrend
            & ((df["RSI_3_4h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 60.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 40.0))
            # 4h down move, 15m still high, 1d overbought
            & ((df["RSI_3_4h"] > 40.0) | (df["AROONU_14_15m"] < 50.0) | (df["ROC_9_1d"] < 50.0))
            # 4h down move, 15m high, 1d overbought
            & ((df["RSI_3_4h"] > 40.0) | (df["AROONU_14_15m"] < 70.0) | (df["ROC_9_1d"] < 200.0))
            # 4h down move, 1h & 4h high
            & ((df["RSI_3_4h"] > 40.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 80.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 40.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 20.0))
            # 4h down move, 15m high, 1h high
            & ((df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0) | (df["AROONU_14_1h"] < 100.0))
            # 4h down move, 1h high, 1d overbought
            & ((df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_1d"] < 60.0))
            # 4h down move, 4h & 1d overbought
            & ((df["RSI_3_4h"] > 40.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 30.0))
            # 4h down move, 15m still high, 4h high
            & ((df["RSI_3_4h"] > 45.0) | (df["AROONU_14_15m"] < 40.0) | (df["AROONU_14_4h"] < 90.0))
            # 45 down move, 15m high, 1h high
            & ((df["RSI_3_4h"] > 45.0) | (df["AROONU_14_15m"] < 70.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0))
            # 4h down move, 15m high, 4h high
            & ((df["RSI_3_4h"] > 45.0) | (df["AROONU_14_15m"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 4h down move, 4h high, 1d overbought
            & ((df["RSI_3_4h"] > 45.0) | (df["AROONU_14_4h"] < 60.0) | (df["ROC_9_1d"] < 100.0))
            # 4h down move, 4h high & overbought
            & ((df["RSI_3_4h"] > 45.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 30.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 45.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1d"] < 30.0))
            # 4h down move, 1d high, 1d downtrend
            & ((df["RSI_3_4h"] > 45.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] > -15.0))
            # 4h down move, 1d high, 4h overbought
            & ((df["RSI_3_4h"] > 45.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_4h"] < 10.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 20.0))
            # 4h down move, 4h & 1d overbought
            & ((df["RSI_3_4h"] > 45.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 200.0))
            # 4h down move, 15m & 1h high
            & ((df["RSI_3_4h"] > 50.0) | (df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_1h"] < 100.0))
            # 4h down move, 4h still high, 1h high
            & ((df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0))
            # 4h down move, 4h high, 1d overbought
            & ((df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] < 40.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 50.0) | (df["AROONU_14_1d"] < 85.0) | (df["ROC_9_1d"] < 80.0))
            # 4h down move, 1d high, 4h overbought
            & ((df["RSI_3_4h"] > 50.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_4h"] < 10.0))
            # 4h down move, 4h high, 1d downtrend
            & ((df["RSI_3_4h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 4h downtrend, 1d overbought
            & ((df["RSI_3_4h"] > 50.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] < 20.0))
            # 4h down move, 1h high, 4h overbought
            & ((df["RSI_3_4h"] > 55.0) | (df["AROONU_14_1h"] < 100.0) | (df["ROC_9_4h"] < 20.0))
            # 4h down move, 4h high & overbought
            & ((df["RSI_3_4h"] > 55.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] < 20.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 55.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1d"] < 60.0))
            # 4h down move, 4h high & overbought
            & ((df["RSI_3_4h"] > 55.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 10.0))
            # 4h down move, 15m high, 1h high
            & ((df["RSI_3_4h"] > 60.0) | (df["AROONU_14_15m"] < 60.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0))
            # 4h down move, 4h high & overbought
            & ((df["RSI_3_4h"] > 60.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] < 30.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 4h & 1d overbought
            & ((df["RSI_3_4h"] > 60.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 50.0))
            # 4h down move, 15m high, 4h high
            & ((df["RSI_3_4h"] > 65.0) | (df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_4h"] < 90.0))
            # 4h down move, 4h high & overbought
            & ((df["RSI_3_4h"] > 65.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 10.0))
            # 1d down move, 4h & 1d downtrend
            & ((df["RSI_3_1d"] > 3.0) | (df["ROC_9_4h"] > -40.0) | (df["ROC_9_1d"] > -50.0))
            # 1d down move, 15m still high, 4h high
            & ((df["RSI_3_1d"] > 10.0) | (df["AROONU_14_15m"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 1d down move, 4h & 1d downtrend
            & ((df["RSI_3_1d"] > 10.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -60.0))
            # 1d down move, 4h & 1d downtrend
            & ((df["RSI_3_1d"] > 10.0) | (df["ROC_9_4h"] > -30.0) | (df["ROC_9_1d"] > -50.0))
            # 1d down move, 1h high, 1d downtrend
            & ((df["RSI_3_1d"] > 15.0) | (df["AROONU_14_1h"] < 85.0) | (df["ROC_9_1d"] > -30.0))
            # 1d down move, 4h & 1d downtrend
            & ((df["RSI_3_1d"] > 15.0) | (df["ROC_9_4h"] > -10.0) | (df["ROC_9_1d"] > -40.0))
            # 1d down move, 15m high, 1h high
            & ((df["RSI_3_1d"] > 20.0) | (df["AROONU_14_15m"] < 60.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
            # 1d down move, 15m high, 1h high
            & ((df["RSI_3_1d"] > 20.0) | (df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_1h"] < 100.0))
            # 1d down move, 4h high, 4h downtrend
            & ((df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_4h"] > -20.0))
            # 1d down move, 15m high, 4h high
            & ((df["RSI_3_1d"] > 25.0) | (df["AROONU_14_15m"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 1d down move, 15m high, 4h downtrend
            & ((df["RSI_3_1d"] > 25.0) | (df["AROONU_14_15m"] < 70.0) | (df["ROC_9_4h"] > -30.0))
            # 1d down move, 1h & 1d high
            & ((df["RSI_3_1d"] > 25.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_1d"] < 80.0))
            # 1d down move, 1d still high, 1d downtrend
            & ((df["RSI_3_1d"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] > -20.0))
            # 1d down move, 1d high & overbought
            & ((df["RSI_3_1d"] > 30.0) | (df["AROONU_14_1d"] < 60.0) | (df["ROC_9_1d"] < 10.0))
            # 1d down move, 1h high, 1d downtrend
            & ((df["RSI_3_1d"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_1d"] < 20.0))
            # 1d down move, 1h & 1d high
            & ((df["RSI_3_1d"] > 35.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_1d"] < 90.0))
            # 1d down move, 1h high, 1d overbought
            & ((df["RSI_3_1d"] > 40.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_1d"] < 80.0))
            # 1d down move, 1d high & overbought
            & ((df["RSI_3_1d"] > 40.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 30.0))
            # 1d down move, 1d high & overbought
            & ((df["RSI_3_1d"] > 40.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 10.0))
            # 1d down move, 1h high, 1d overbought
            & ((df["RSI_3_1d"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_1d"] < 50.0))
            # 15m still high, 4h high, 1d overbought
            & ((df["AROONU_14_15m"] < 50.0) | (df["RSI_14_4h"] < 60.0) | (df["ROC_9_1d"] < 70.0))
            # 15m still high, 1h downtrend, 4h overbought
            & ((df["AROONU_14_15m"] < 50.0) | (df["ROC_9_1h"] > -10.0) | (df["ROC_9_4h"] < 40.0))
            # 15m high, 4h high & overbought
            & ((df["AROONU_14_15m"] < 60.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] < 20.0))
            # 15m & 4h high, 1d overbought
            & ((df["AROONU_14_15m"] < 60.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] < 10.0))
            # 15m high, 15m & 4h overbought
            & ((df["AROONU_14_15m"] < 60.0) | (df["ROC_9_15m"] < 10.0) | (df["ROC_9_4h"] < 20.0))
            # 15m high, 4h downtrend
            & ((df["AROONU_14_15m"] < 60.0) | (df["ROC_9_4h"] > -30.0))
            # 15m & 1h & 4h high
            & ((df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_1h"] < 100.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m & 4h & 1d high
            & ((df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_4h"] < 70.0) | (df["AROONU_14_1d"] < 90.0))
            # 15m & 4h high, 4h overbought
            & ((df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] < 10.0))
            # 15m & 4h high, 1d downtrend
            & ((df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] > -20.0))
            # 15m & 1d high, 1d overbought
            & ((df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1d"] < 100.0))
            # 15m high, 4h downtrend, 1d overbought
            & ((df["AROONU_14_15m"] < 70.0) | (df["ROC_9_4h"] > -30.0) | (df["ROC_9_1d"] < 200.0))
            # 4h down move, 1h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1h"] < 40.0) | (df["ROC_9_1d"] > -50.0))
            # 1h & 4h high, 4h overbought
            & ((df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 10.0))
            # 1h high, 1d high & overbought
            & ((df["AROONU_14_1h"] < 90.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 30.0))
            # 1h high, 4h downtrend
            & ((df["AROONU_14_1h"] < 90.0) | (df["ROC_9_4h"] > -20.0))
            # 1h high, 4h & 1d overbought
            & ((df["AROONU_14_1h"] < 90.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 20.0))
            # 4h & 1d high, 4h overbought
            & ((df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 10.0))
            # 4h & 1d high, 1d downtrend
            & ((df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] > -20.0))
            # 1d high, 4h & 1d downtrend
            & ((df["AROONU_14_1d"] < 80.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -20.0))
            # 1d high, 1h & 4h downtrend
            & ((df["AROONU_14_1d"] < 85.0) | (df["ROC_9_1h"] > -30.0) | (df["ROC_9_4h"] > -50.0))
            # 1d high, 4h downtrend
            & ((df["AROONU_14_1d"] < 85.0) | (df["ROC_9_4h"] > -30.0))
            # 1d high, 4h downtrend, 1d overbought
            & ((df["AROONU_14_1d"] < 85.0) | (df["ROC_9_4h"] > -30.0) | (df["ROC_9_1d"] < 70.0))
            # 1d high, 4h & 1d overbought
            & ((df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 40.0))
            # 15m & 1h high, 1d overbought
            & (
              (df["STOCHRSIk_14_14_3_3_15m"] < 70.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_1d"] < 50.0)
            )
            # 15m & 1d high
            & ((df["STOCHRSIk_14_14_3_3_15m"] < 90.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
            # 1h high, 4h & 1d downtrend
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 60.0) | (df["ROC_9_4h"] > -30.0) | (df["ROC_9_1d"] > -30.0))
            # 1h high, 4h downtrend
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_4h"] > -30.0))
            # 1h high, 1d downtrend
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_1d"] > -20.0))
            # 4h high, 4h overbought, 1d downtrend
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] > -20.0))
            # 1d still high, 4h & 1d downtrend
            & ((df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["ROC_9_4h"] > -30.0) | (df["ROC_9_1d"] > -30.0))
            # 1d P&D, 4h downtrend
            & ((df["change_pct_1d"] > -50.0) | (df["change_pct_1d"].shift(288) < 50.0) | (df["RSI_3_4h"] > 15.0))
            # 1d P&D, 15m high
            & ((df["change_pct_1d"] > -20.0) | (df["change_pct_1d"].shift(288) < 20.0) | (df["AROONU_14_15m"] < 70.0))
            # 1d red with top wick, 4h high
            & ((df["change_pct_1d"] > -20.0) | (df["top_wick_pct_1d"] < 20.0) | (df["AROONU_14_4h"] < 80.0))
            # 1d red, previous 1d top wick, 15m high
            & (
              (df["change_pct_1d"] > -10.0) | (df["top_wick_pct_1d"].shift(288) < 40.0) | (df["AROONU_14_15m"] < 70.0)
            )
            # 1d green with top wick, 4h overbought
            & ((df["change_pct_1d"] < 15.0) | (df["top_wick_pct_1d"] < 15.0) | (df["ROC_9_4h"] < 20.0))
            # 1d green, 15m down move, 1h high
            & ((df["change_pct_1d"] < 50.0) | (df["RSI_3_15m"] > 25.0) | (df["AROONU_14_1h"] < 70.0))
            # 1d green, 4h down move, 4h still high
            & ((df["change_pct_1d"] < 40.0) | (df["RSI_3_4h"] > 35.0) | (df["AROONU_14_4h"] < 40.0))
            # 1d top wick, 4h down move, 1d overbought
            & ((df["top_wick_pct_1d"] < 50.0) | (df["RSI_3_4h"] > 35.0) | (df["ROC_9_1d"] < 60.0))
            # big drop in the last 20 days, 1d high, 1d downtrend
            & (
              (df["close"] > (df["high_max_20_1d"] * 0.20))
              | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0)
              | (df["ROC_9_1d"] > -15.0)
            )
          )

          # Logic
          long_entry_logic.append(
            (df["RSI_20"] < df["RSI_20"].shift(1))
            & (df["RSI_4"] < 45.0)
            & (df["RSI_14"] > 30.0)
            & (df["AROONU_14"] < 20.0)
            & (df["STOCHRSIk_14_14_3_3"] < 20.0)
            & (df["close"] < df["SMA_16"] * 0.965)
            & (df["close"] < df["SMA_16_1h"] * 0.985)
          )

        # Condition #4 - Normal mode (Long).
        if long_entry_condition_index == 4:
          # Protections
          long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288)
          long_entry_logic.append(df["protections_long_global"] == True)

          long_entry_logic.append(
            (df["RSI_3_15m"] > 3.0)
            # 5m & 1h down move, 1d still high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 3.0) | (df["AROONU_14_1d"] < 40.0))
            # 5m & 1h & 4h down move
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0))
            # 5m & 1h down move, 1h still not low enough
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 30.0))
            # 5m & 1h down move, 1d high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1d"] < 80.0))
            # 5m & 1h down move, 1d high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1d"] < 100.0))
            # 5m & 1h down move, 1h high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 50.0) | (df["AROONU_14_1h"] < 70.0))
            # 5m & 1h down move, 1h still high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 5m & 1h down move, 1d downtrend
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_1d"] > -30.0))
            # 5m & 4h down move, 4h high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 70.0))
            # 5m & 1d down move, 15m still high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0))
            # 5m & 4h down move, 15m still high
            & ((df["RSI_3"] > 5.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0))
            # 5m down move, 4h high, 1h overbought
            & ((df["RSI_3"] > 10.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1h"] < 30.0))
            # 15m & 1h down move, 1d still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 5.0) | (df["AROONU_14_1d"] < 40.0))
            # 15m & 1h down move, 1d still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1d"] < 50.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 15m & 4h down move, 1d overbought
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_1d"] < 70.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_1d"] < 100.0))
            # 15m & 1h down move, 15m stil high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0))
            # 15m & 1h down move, 4h downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["ROC_9_4h"] > -40.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["AROONU_14_4h"] < 70.0))
            # 15m & 1h down move, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["ROC_9_1d"] < 40.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 80.0))
            # 15m down move, 4h high, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] < 100.0))
            # 15m down move, 4h & 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_4h"] < 90.0) | (df["AROONU_14_1d"] < 100.0))
            # 15m down move, 1h high, 1d downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_1d"] > -50.0))
            # 15m down move, 1h high
            & ((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] < 20.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_4h"] < 10.0))
            # 15m down move, 4h & 1d downtrend
            & ((df["RSI_3_15m"] > 15.0) | (df["ROC_9_4h"] > -10.0) | (df["ROC_9_1d"] > -40.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 70.0))
            # 15m down move, 4h high, 1d overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_1d"] < 100.0))
            # 15m down move, 4h high, 1h overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1h"] < 30.0))
            # 15m down move, 1h high & overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1h"] < 10.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_4h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 15m down move, 4h high, 4h overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_4h"] < 60.0) | (df["ROC_9_4h"] < 50.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_4h"] < 85.0))
            # 15m & 1h down move, 4h overbought
            & ((df["RSI_3_15m"] > 40.0) | (df["RSI_3_1h"] > 50.0) | (df["ROC_9_4h"] < 50.0))
            # 1h & 4h down move, 15m downtrend
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 3.0) | (df["ROC_9_15m"] > -30.0))
            # 1h & 4h down move, 15m downtrend
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 10.0) | (df["CMF_20_15m"] > -0.40))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0))
            # 1h down move, 1h high, 4h high
            & ((df["RSI_3_1h"] > 3.0) | (df["AROONU_14_1h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 1h down move, 15m still high
            & ((df["RSI_3_1h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0))
            # 1h down move, 1h still high, 4h overbought
            & ((df["RSI_3_1h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_4h"] < 20.0))
            # 1h & 4h & 1d down move
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 5.0) | (df["RSI_3_1d"] > 10.0))
            # 1h & 4h down move, 1h downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 5.0) | (df["ROC_9_1h"] > -20.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1d"] > -40.0))
            # 1h down move, 4h high, 1h downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_1h"] > -40.0))
            # 1h down move, 4h high, 1h downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["CMF_20_1h"] > -0.40))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 20.0))
            # 1h down move, 1d overbought
            & ((df["RSI_3_1h"] > 5.0) | (df["ROC_9_1d"] < 100.0))
            # 1h & 4h & 1d down move
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 15.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_14_4h"] < 40.0))
            # 1h & 4h down move, 1h downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_1h"] > -20.0))
            # 1h & 4h down move, 1h still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1h"] < 50.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 35.0) | (df["RSI_14_4h"] < 40.0))
            # 1h & 3h down move, 1d high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_1d"] < 80.0))
            # 1h & 1d down move, 1d high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 45.0) | (df["AROONU_14_1d"] < 70.0))
            # 1h down move, 4h high
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_4h"] < 85.0))
            # 1h down move, 1d high, 15m downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_15m"] > -50.0))
            # 1h down move, 4h & 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["ROC_9_4h"] > -15.0) | (df["ROC_9_1d"] > -30.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_14_4h"] < 40.0))
            # 1h & 4h down move, 1h still not low enough
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1h"] < 20.0))
            # 1h & 4h down move, 4h still not low enough
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0))
            # 1h & 1d down move, 1d still high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 40.0))
            # 1h & 1d down move, 1d high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_1d"] > 25.0) | (df["AROONU_14_1d"] < 80.0))
            # 1h down move, 1h still high, 4h downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 40.0) | (df["ROC_9_4h"] > -30.0))
            # 1h down move, 1d high, 4h downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_4h"] > -20.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 40.0))
            # 1h down move, 1h still high, 4h downtrend
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 50.0) | (df["ROC_9_4h"] > -50.0))
            # 1h down move, 1h high
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 80.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 25.0) | (df["ROC_9_1d"] < 20.0))
            # 1h down move, 1h still high, 1d overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_1d"] < 40.0))
            # 1h down move, 1h & 4h high
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 70.0))
            # 1h down move, 4h high, 1d overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1d"] < 30.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 200.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 30.0) | (df["ROC_9_1d"] < 40.0))
            # 1h & 4h down move, 15m high
            & ((df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 80.0))
            # 1h & 4h down move, 1h high
            & ((df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0))
            # 1h down move, 15m still high, 1h high
            & ((df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0) | (df["AROONU_14_1h"] < 60.0))
            # 1h down move, 1h still high, 4h high
            & ((df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 1h down move, 4h & 1d downtrend
            & ((df["RSI_3_1h"] > 30.0) | (df["ROC_9_4h"] > -25.0) | (df["ROC_9_1d"] > -60.0))
            # 1h down move, 4h & 1d overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] < 20.0))
            # 1h down move, 4h high, 1d overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_4h"] < 85.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 1h still high, 1d overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_1d"] < 200.0))
            # 1h down move, 1h high, 4h downtrend
            & ((df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_4h"] > -20.0))
            # 1h down move, 1h & 4h high
            & ((df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 100.0))
            # 1h down move, 4h high, 1d downtrend
            & ((df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0) | (df["ROC_9_1d"] > -60.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_4h"] < 40.0))
            # 1h down move, 1h high & overbought
            & ((df["RSI_3_1h"] > 55.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1h"] < 10.0))
            # 1h down move, 4h & 1d overbought
            & ((df["RSI_3_1h"] > 60.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 60.0))
            # 4h down move, 4h high, 4h downtrend
            & ((df["RSI_3_4h"] > 3.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_4h"] > -40.0))
            # 4h & 1d down move, 1h still not low enough
            & ((df["RSI_3_4h"] > 5.0) | (df["RSI_3_1d"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0))
            # 4h & 1d down move, 1d high
            & ((df["RSI_3_4h"] > 5.0) | (df["RSI_3_1d"] > 45.0) | (df["AROONU_14_1d"] < 70.0))
            # 4h down move, 4h & 1d downtrend
            & ((df["RSI_3_4h"] > 5.0) | (df["ROC_9_4h"] > -15.0) | (df["ROC_9_1d"] > -20.0))
            # 4h & 1d down move, 1h still high
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 10.0) | (df["AROONU_14_1h"] < 40.0))
            # 4h & 1d down move, 1h high
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0))
            # 4h & 1d down move, 1d still high
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 25.0) | (df["AROONU_14_1d"] < 40.0))
            # 4h & 1d down move, 1d still high
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0))
            # 4h & 1d down move, 1d high
            & ((df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 20.0) | (df["AROONU_14_1d"] < 60.0))
            # 4h & 1d down move, 4h high
            & ((df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 25.0) | (df["AROONU_14_4h"] < 70.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1d"] < 20.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] > -10.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 80.0))
            # 4h down move, 4h & 1d downtrend
            & ((df["RSI_3_4h"] > 20.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] > -40.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 200.0))
            # 4h down move, 4h high, 1d downtrend
            & ((df["RSI_3_4h"] > 45.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 4h high & overbought
            & ((df["RSI_3_4h"] > 60.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] < 10.0))
            # 4h down move, 4h & 1d overbought
            & ((df["RSI_3_4h"] > 60.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 20.0))
            # 1h still high, 4h & 1d downtrend
            & ((df["AROONU_14_1h"] < 40.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -40.0))
            # 1h & 4h high, 1h overbought
            & ((df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1h"] < 80.0))
            # 1h high, 1d overbought
            & ((df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] < 70.0))
            # 1h & 4h high, 1h overbought
            & ((df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_1h"] < 30.0))
            # 1h & 1d high, 1h overbought
            & ((df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1h"] < 30.0))
            # 4h still not low enough, 4h & 1d downtrend
            & ((df["AROONU_14_4h"] < 30.0) | (df["ROC_9_4h"] > -40.0) | (df["ROC_9_1d"] > -40.0))
            # 4h still high, 5m downtrend
            & ((df["AROONU_14_4h"] < 40.0) | (df["ROC_9"] > -40.0))
            # 4h high, 4h & 1d overbought
            & ((df["AROONU_14_4h"] < 60.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 50.0))
            # 4h & 1d high, 4h overbought
            & ((df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 50.0))
            # 4h high, 1h & 1d overbought
            & ((df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1h"] < 30.0) | (df["ROC_9_1d"] < 100.0))
            # 4h high, 1h & 4h high
            & ((df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1h"] < 50.0) | (df["ROC_9_4h"] < 100.0))
            # 1d high, 4h & 1d downtrend
            & ((df["AROONU_14_1d"] < 70.0) | (df["ROC_9_4h"] > -40.0) | (df["ROC_9_1d"] > -40.0))
            # 1d high, 1h & 1d overbought
            & ((df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1h"] < 30.0) | (df["ROC_9_1d"] < 200.0))
            # 1d high, 4h & 1d overbought
            & ((df["AROONU_14_1d"] < 90.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 50.0))
            # 1h high, 4h overbought
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_4h"] < 80.0))
            # 4h & 1d overbought
            & ((df["ROC_9_4h"] < 100.0) | (df["ROC_9_1d"] < 200.0))
            # big drop in the last 20 days, 1d high, 1d downtrend
            & (
              (df["close"] > (df["high_max_20_1d"] * 0.20))
              | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0)
              | (df["ROC_9_1d"] > -15.0)
            )
            # drop in last 20 days, 1h high, 1d downtrend
            & ((df["close"] > (df["high_max_20_1d"] * 0.20)) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] > -70.0))
          )

          # Logic
          long_entry_logic.append(
            (df["AROONU_14"] < 25.0)
            & (df["AROONU_14_15m"] < 25.0)
            & (df["close"] < (df["EMA_9"] * 0.946))
            & (df["close"] < (df["EMA_20"] * 0.960))
          )

        # Condition #5 - Normal mode (Long).
        if long_entry_condition_index == 5:
          # Protections
          long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288)
          long_entry_logic.append(df["protections_long_global"] == True)

          long_entry_logic.append(
            (df["RSI_3_15m"] > 20.0)
            # 5m & 1h down move, 1h still not low enough
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 30.0))
            # 5m & 1h down move, 1d high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1d"] < 100.0))
            # 5m & 1h down move, 1h still high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 5m & 4h down move, 15m still high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_4h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 15m & 1h down move, 4h overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 30.0) | (df["ROC_9_4h"] < 70.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 80.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 50.0) | (df["AROONU_14_1h"] < 85.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 55.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
            # 15m down move, 15m stil not low enough, 4h high
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 30.0) | (df["AROONU_14_4h"] < 60.0))
            # 15m down move, 15m high, 1h high
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 60.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0))
            # 15m down move, 4h & 1d overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 50.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 30.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 80.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 85.0))
            # 15m down move, 15m still high, 1d high
            & ((df["RSI_3_15m"] > 30.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0))
            # 15m down move, 15m high, 4h high
            & ((df["RSI_3_15m"] > 30.0) | (df["AROONU_14_15m"] < 60.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 30.0) | (df["AROONU_14_1h"] < 85.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m down move, 4h & 1d high
            & ((df["RSI_3_15m"] > 30.0) | (df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0))
            # 15m down move, 4h high, 1h downtrend
            & ((df["RSI_3_15m"] < 30.0) | (df["AROONU_14_4h"] < 85.0) | (df["ROC_9_1h"] > -40.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 30.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 25.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 35.0) | (df["RSI_3_4h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 15m down move, 15m high, 4h overbought
            & ((df["RSI_3_15m"] > 35.0) | (df["AROONU_14_15m"] < 70.0) | (df["ROC_9_4h"] < 10.0))
            # 15m down move, 1h high, 4h overbought
            & ((df["RSI_3_15m"] > 35.0) | (df["AROONU_14_1h"] < 85.0) | (df["ROC_9_4h"] < 80.0))
            # 15m down move, 4h high, 1h overbought
            & ((df["RSI_3_15m"] > 35.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1h"] < 20.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 40.0) | (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 100.0))
            # 15m down move, 15m still high, 1h high
            & ((df["RSI_3_15m"] > 45.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_1h"] < 85.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 5.0) | (df["AROONU_14_1d"] < 70.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 10.0) | (df["AROONU_14_4h"] < 40.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1d"] < 15.0))
            # 1h & 4h down move, 4h downtrend
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_4h"] > -40.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 25.0) | (df["ROC_9_1d"] > -50.0))
            # 1h & 1d down move, 1d high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_1d"] > 25.0) | (df["AROONU_14_1d"] < 80.0))
            # 1h & 4h down move, 1h downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 20.0) | (df["ROC_9_1h"] > -15.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["AROONU_14_4h"] < 50.0))
            # 1h & 4h down move, 15m still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0))
            # 1h & 4h down move, 1h downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1h"] > -20.0))
            # 1h & 4h & 1d down move
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 15.0))
            # 1h & 4h down move, 15m high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 60.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["ROC_9_1d"] < 100.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0))
            # 1h down move, 4h downtrend. 4h still not low enough
            & ((df["RSI_3_1h"] > 10.0) | (df["ROC_9_4h"] > -20.0) | (df["AROONU_14_4h"] < 30.0))
            # 1h down move, 15m still high, 4h high
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0))
            # 1h down move, 15m high, 4h downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_15m"] < 70.0) | (df["ROC_9_4h"] > -10.0))
            # 1h down move, 1h still high, 15m downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 40.0) | (df["CMF_20_15m"] > -0.30))
            # 1h down move, 1d high, 4h overbought
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 20.0))
            # 1h down move, 1h still high, 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_1d"] > -40.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["ROC_9_1d"] < 30.0))
            # 1h & 4h down move, 1h still high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1h"] < 50.0))
            # 1h & 4h down move, 1h still not low enough
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["ROC_9_1d"] > -40.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 100.0))
            # 1h & 1d down move, 4h high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 1h down move, 4h high, 1d overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_4h"] < 60.0) | (df["ROC_9_1d"] < 50.0))
            # 1h down move, 4h high, 1d high
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_4h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0))
            # 1h down move, 1d high, 1d downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1d"] > -20.0))
            # 1h down move, 1d high, 4h overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 60.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 10.0))
            # 1h down move, 1h downtrend, 1d overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["ROC_9_1h"] > -30.0) | (df["ROC_9_1d"] < 80.0))
            # 1h down move, 4h & 1d overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 60.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 70.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_4h"] < 80.0))
            # 1h & 1d down move, 1h still high
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_1d"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 1h & 4h down move, 15m high
            & ((df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_15m"] < 70.0))
            # 1h down move, 4h downtrend, 4h high
            & ((df["RSI_3_1h"] > 25.0) | (df["CMF_20_4h"] > -0.50) | (df["AROONU_14_4h"] < 70.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1d"] < 30.0))
            # 1h down move, 4h high, 1d downtrend
            & ((df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1d"] > -30.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 85.0))
            # 1h down move, 1h & 4h high
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 85.0))
            # 1h down move, 1h high, 4h overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] < 20.0))
            # 1h down move, 4h high, 1d overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1d"] < 30.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_4h"] < 100.0))
            # 1h down move, 15m still high, 1h high
            & ((df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0) | (df["AROONU_14_1h"] < 60.0))
            # 1h down move, 1h high, 1d downtrend
            & ((df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_1d"] > -40.0))
            # 1h down move, 4h high, 1d downtrend
            & ((df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_1d"] > -50.0))
            # 1h down move, 4h downtrend, 1d over
            & ((df["RSI_3_1h"] > 30.0) | (df["ROC_9_4h"] > -30.0) | (df["ROC_9_1d"] < 50.0))
            # 1h down move, 1h still high, 1d overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 50.0) | (df["ROC_9_1d"] < 20.0))
            # 1h down move, 1h & 4h high
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 100.0))
            # 1h down move, 1h high, 1d downtrend
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] > -25.0))
            # 1h down move, 1h high, 4h downtrend
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_4h"] > -20.0))
            # 1h down move, 1h still high, 1d overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_1d"] < 200.0))
            # 1h down move, 15m high, 1h high
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_15m"] < 60.0) | (df["AROONU_14_1h"] < 70.0))
            # 1h down move, 1h still high, 1d overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 40.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 1h & 4h high
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 100.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 50.0))
            # 1h down move, 1h & 4h overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["ROC_9_1h"] < 20.0) | (df["ROC_9_4h"] < 20.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 45.0) | (df["RSI_3_4h"] > 65.0) | (df["ROC_9_1d"] < 200.0))
            # 1h down move, 15m still high, 1h high
            & ((df["RSI_3_1h"] > 45.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_1h"] < 85.0))
            # 1h down move, 1h high, 4h overbought
            & ((df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_4h"] < 50.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_1d"] < 50.0))
            # 1h down move, 1h high, 1d downtrend
            & ((df["RSI_3_1h"] > 50.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_1d"] > -30.0))
            # 1h down move, 4h high, 1h overbought
            & ((df["RSI_3_1h"] > 50.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_1h"] < 40.0))
            # 1h down move, 4h & 1d high
            & ((df["RSI_3_1h"] > 50.0) | (df["AROONU_14_4h"] < 100.0) | (df["AROONU_14_1d"] < 100.0))
            # 1h down move, 4h high, 1d downtrend
            & ((df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0) | (df["ROC_9_1d"] > -60.0))
            # 1h down move, 4h & 1d overbought
            & ((df["RSI_3_1h"] > 50.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 80.0))
            # 1h down move, 15m high, 1h high
            & ((df["RSI_3_1h"] > 55.0) | (df["AROONU_14_15m"] < 60.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
            # 1h down move, 1h high & overbought
            & ((df["RSI_3_1h"] > 55.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0) | (df["ROC_9_1d"] < 10.0))
            # 1h down move, 4h & 1d overbought
            & ((df["RSI_3_1h"] > 60.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 40.0))
            # 1h down move, 4h high, 1d overbought
            & ((df["RSI_3_1h"] > 60.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1d"] < 40.0))
            # 4h & 1d down move, 4h downtrend
            & ((df["RSI_3_4h"] > 3.0) | (df["RSI_3_1d"] > 10.0) | (df["ROC_9_4h"] > -20.0))
            # 4h & 1d down move, 1h still not low enough
            & ((df["RSI_3_4h"] > 5.0) | (df["RSI_3_1d"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0))
            # 4h down move, 1d high, 4h downtrend
            & ((df["RSI_3_4h"] > 5.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_4h"] > -10.0))
            # 4h & 1d down move, 15m high
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 80.0))
            # 4h & 1d down move, 1d downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 15.0) | (df["ROC_9_1d"] > -15.0))
            # 4h & 1d down move, 1d still high
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0))
            # 4h down move, 15m downtrend, 1d high
            & ((df["RSI_3_4h"] > 10.0) | (df["CMF_20_15m"] > -0.30) | (df["AROONU_14_1d"] < 80.0))
            # 4h down move, 15m still high, 1d downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["ROC_9_1d"] > -25.0))
            # 4h down move, 15m high
            & ((df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 80.0))
            # 4h down move, 1h high, 1d downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 4h downtrend, 1d overbought
            & ((df["RSI_3_4h"] > 10.0) | (df["ROC_9_4h"] > -30.0) | (df["ROC_9_1d"] < 40.0))
            # 4h & 1d down move, 4h downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 20.0) | (df["ROC_9_4h"] > -40.0))
            # 4h down move, 1h high, 1d downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_1d"] > -10.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 1h & 4h downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["ROC_9_1h"] > -30.0) | (df["ROC_9_4h"] > -30.0))
            # 4h & 1ddown move, 1d high
            & ((df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 20.0) | (df["AROONU_14_1d"] < 80.0))
            # 4h down move, 1d high, 1d downtrend
            & ((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 70.0))
            # 4h down move, 4h still high. 4h downtrend
            & ((df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 50.0) | (df["CMF_20_4h"] > -0.40))
            # 4h down move, 4h high, 1d downtrend
            & ((df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0) | (df["ROC_9_1d"] > -70.0))
            # 4h down move, 1h high, 4h downtrend
            & ((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] > -10.0))
            # 4h down move, 1h high, 1d downtrend
            & ((df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0) | (df["ROC_9_1d"] > -40.0))
            # 4h down move, 4h & 1d high
            & ((df["RSI_3_4h"] > 35.0) | (df["AROONU_14_4h"] < 70.0) | (df["AROONU_14_1d"] < 100.0))
            # 4h down move, 4h high & overbought
            & ((df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 10.0))
            # 4h down move, 4h high, 1d overbought
            & ((df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1d"] < 40.0))
            # 4h down move, 4h & 1d overbought
            & ((df["RSI_3_4h"] > 50.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 40.0))
            # 1d down move, 1d high, 1d downtrend
            & ((df["RSI_3_1d"] > 10.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1d"] > -10.0))
            # 1d down move, 1h high, 4h downtrend
            & ((df["RSI_3_1d"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_4h"] > -30.0))
            # 15m & 1h & 4h downtrend
            & ((df["CMF_20_15m"] > -0.30) | (df["CMF_20_1h"] > -0.30) | (df["CMF_20_4h"] > -0.30))
            # 1d downtrend, 1d high & overbought
            & ((df["CMF_20_1d"] > -0.40) | (df["AROONU_14_1d"] < 85.0) | (df["ROC_9_1d"] < 20.0))
            # 15m not low enough, 1h & 4h downtrend
            & ((df["AROONU_14_15m"] < 20.0) | (df["ROC_9_1h"] > -30.0) | (df["ROC_9_4h"] > -50.0))
            # 15m high, 1h high & overbought
            & ((df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_1h"] < 85.0) | (df["ROC_9_1h"] < 10.0))
            # 4h high, 4h & 1d overbought
            & ((df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] < 60.0) | (df["ROC_9_1d"] < 80.0))
            # 1h & 4h high, 4h overbought
            & ((df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 10.0))
            # 1h & 1d high, 1d overbought
            & ((df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 200.0))
            # 1h high, 1h overbought
            & ((df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1h"] < 10.0))
            # 4h still high, 5m downtrend
            & ((df["AROONU_14_4h"] < 40.0) | (df["ROC_9"] > -40.0))
            # 4h & 1d high, 4h overbought
            & ((df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 80.0))
            # 4h & 1d high, 1d overbought
            & ((df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 80.0))
            # 4h high, 1h & 4h overbought
            & ((df["AROONU_14_4h"] < 85.0) | (df["ROC_9_1h"] < 80.0) | (df["ROC_9_4h"] < 80.0))
            # 4h high, 4h & 1d overbought
            & ((df["AROONU_14_4h"] < 85.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 40.0))
            # 4h & 1d high, 4h overbought
            & ((df["AROONU_14_4h"] < 100.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 40.0))
            # 4h high, 1h & 1d overbought
            & ((df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1h"] < 40.0) | (df["ROC_9_1d"] < 100.0))
            # 4h high, 4h & 1d overbought
            & ((df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 80.0))
            # 1d high, 1h & 4h down move
            & ((df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1h"] < 25.0) | (df["ROC_9_4h"] < 60.0))
            # 1d high, 1h downtrend, 1d overbought
            & ((df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1h"] > -30.0) | (df["ROC_9_1d"] < 100.0))
            # 1d high, 4h & 1d overbought
            & ((df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 80.0))
            # 15m high, 4h & 1d downtrend
            & ((df["STOCHRSIk_14_14_3_3_15m"] < 70.0) | (df["ROC_9_4h"] > -30.0) | (df["ROC_9_1d"] > -30.0))
            # 1h high, 4h & 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 100.0))
            # 4h high, 1h overbought, 1d downtrend
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1h"] < 40.0) | (df["ROC_9_1d"] > -70.0))
            # 4h high, 4h & 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 80.0) | (df["ROC_9_1d"] < 100.0))
            # 4h high, 1h & 4h overbought
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_4h"] < 80.0))
            # 4h high, 1h & 4h overbought
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_1h"] < 20.0) | (df["ROC_9_4h"] < 50.0))
            # 1d high, 4h & 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_4h"] < 40.0) | (df["ROC_9_1d"] < 100.0))
            # 1d P&D, dh downtrend
            & ((df["change_pct_1d"] > -50.0) | (df["change_pct_1d"].shift(288) < 50.0) | (df["RSI_3_4h"] > 15.0))
            # big drop in the last 20 days, 1d high, 1d downtrend
            & (
              (df["close"] > (df["high_max_20_1d"] * 0.20))
              | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0)
              | (df["ROC_9_1d"] > -15.0)
            )
            # drop in last 20 days, 1h high, 1d downtrend
            & ((df["close"] > (df["high_max_20_1d"] * 0.20)) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] > -70.0))
            # drop in last 20 days. 4h high
            & ((df["close"] > (df["high_max_20_1d"] * 0.10)) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0))
          )

          # Logic
          long_entry_logic.append(
            (df["RSI_3"] < 50.0)
            & (df["AROONU_14"] < 25.0)
            & (df["STOCHRSIk_14_14_3_3"] < 30.0)
            & (df["EMA_26"] > df["EMA_12"])
            & ((df["EMA_26"] - df["EMA_12"]) > (df["open"] * 0.020))
            & ((df["EMA_26"].shift() - df["EMA_12"].shift()) > (df["open"] / 100.0))
          )

        # Condition #6 - Normal mode (Long).
        if long_entry_condition_index == 6:
          # Protections
          long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288)
          long_entry_logic.append(df["protections_long_global"] == True)

          long_entry_logic.append(
            # 5m & 15m down move, 15m still high
            ((df["RSI_3"] > 3.0) | (df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0))
            # 5m & 15m down move, 15m still high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 40.0))
            # 5m & 15m down move, 1d downtrend
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_15m"] > 15.0) | (df["ROC_9_1d"] > -20.0))
            # 5m & 15m down move, 1d downtrend
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_15m"] > 25.0) | (df["ROC_9_1d"] > -30.0))
            # 5m & 1h down move, 1h still not low enough
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 30.0))
            # 5m & 1h down move, 1h still high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 5m & 4h down move, 4h still high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
            # 5m & 4h & 1d down move
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 35.0))
            # 5m & 4h down move, 4h high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 5m & 4h down move, 4h still high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_4h"] > 55.0) | (df["AROONU_14_4h"] < 50.0))
            # 5m & 1d down move, 15m still high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0))
            # 5m down move, 4h & 1d overbought
            & ((df["RSI_3"] > 3.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 40.0))
            # 5m & 1h down move, 4h high
            & ((df["RSI_3"] > 5.0) | (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_4h"] < 60.0))
            # 5m & 1h down move, 1h high
            & ((df["RSI_3"] > 5.0) | (df["RSI_3_1h"] > 60.0) | (df["AROONU_14_1h"] < 80.0))
            # 5m & 4h down move, 1d downtrend
            & ((df["RSI_3"] > 5.0) | (df["RSI_3_4h"] > 5.0) | (df["ROC_9_1d"] > -20.0))
            # 5m & 4h down move, 4h still high
            & ((df["RSI_3"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 40.0))
            # 5m & 4h down move, 15m still high
            & ((df["RSI_3"] > 5.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0))
            # 5m & 4h down move, 1d overbought
            & ((df["RSI_3"] > 5.0) | (df["RSI_3_4h"] > 30.0) | (df["ROC_9_1d"] < 60.0))
            # 5m & 4h down move, 4h high
            & ((df["RSI_3"] > 5.0) | (df["RSI_3_4h"] > 60.0) | (df["AROONU_14_4h"] < 80.0))
            # 5m down move, 15m still not low enough, 4h high
            & ((df["RSI_3"] > 5.0) | (df["AROONU_14_15m"] < 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 5m down move, 1h & 1d high
            & ((df["RSI_3"] > 5.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_1d"] < 100.0))
            # 5m down move, 4h high & overbought
            & ((df["RSI_3"] > 5.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 25.0))
            # 5m down move, 1h high
            & ((df["RSI_3"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
            # 5m & 1d down move, 1d still high
            & ((df["RSI_3"] > 10.0) | (df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 40.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 50.0))
            # 15m & 1h down move, 4h still not low enough
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_4h"] < 20.0))
            # 15m & 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_14_4h"] < 40.0) | (df["ROC_9_1d"] > -10.0))
            # 15m & 1h down move, 1h still not low enough
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 20.0))
            # 15m & 1h down move, 4h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_4h"] < 70.0))
            # 15m & 4h down move, 1h still not low enough
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0))
            # 15m & 4h down move, 1d downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_1d"] > -10.0))
            # 15m & 4h down move, 4h still not low enough
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 20.0))
            # 15m & 4h down move, 15m still not low enough
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_15m"] < 25.0))
            # 15m & 4h down move, 1h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 15m & 4h down move, 1h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0))
            # 15m & 1d down move, 15m still not low enough
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1d"] > 10.0) | (df["AROONU_14_15m"] < 30.0))
            # 15m & 1d down move, 4h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1d"] > 55.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 1h & 1d downtrend, 1d high
            & ((df["RSI_3_15m"] > 3.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1d"] < 10.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 60.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 15m & 1h down move, 4h still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 90.0))
            # 15m & 1h & 4h down move, 15m downtrend
            & (
              (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 40.0) | (df["RSI_3_4h"] > 50.0) | (df["CMF_20_15m"] > -0.30)
            )
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 55.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m & 4h down move, 15m still not low enough
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_15m"] < 30.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0))
            # 15m down move, 15m still high, 1h still high
            & ((df["RSI_3_15m"] > 5.0) | (df["AROONU_14_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 15m down move, 1h still high, 1d high
            & ((df["RSI_3_15m"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["AROONU_14_1d"] < 70.0))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 5.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 90.0))
            # 15m down move, 15m & 1h still not low enough
            & (
              (df["RSI_3_15m"] > 5.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0)
            )
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 15m & 1h down move, 4h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_4h"] < 40.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0))
            # 15m & 1h down move, 4h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 50.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0))
            # 15m & 1h down move, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 30.0) | (df["ROC_9_1d"] < 30.0))
            # 15m & 1h down move, 1d downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 30.0) | (df["ROC_9_1d"] > -40.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 15m & 1h down move, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 45.0) | (df["ROC_9_1d"] < 150.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 55.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 65.0) | (df["AROONU_14_1h"] < 80.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["AROONU_14_1d"] < 80.0))
            # 15m & 4h down move, 4h still not low enough
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_14_1d"] < 60.0))
            # 15m & 4h down move, 4h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 40.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 90.0))
            # 15m & 4h down move, 1h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 15m & 4h down move, 4h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
            # 15m & 4h down move, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["ROC_9_1d"] < 20.0))
            # 15m & 4h down move, 4h downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 25.0) | (df["CMF_20_4h"] > -0.30))
            # 15m & 4h down move, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 25.0) | (df["ROC_9_1d"] < 30.0))
            # 15m & 4h down move, 4h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 50.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 45.0) | (df["AROONU_14_4h"] < 70.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 75.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 15m & 1d down move, 1h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1d"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 15m & 1d down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1d"] > 20.0) | (df["AROONU_14_1d"] < 75.0))
            # 15m & 1d down move, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1d"] > 50.0) | (df["ROC_9_1d"] < 20.0))
            # 15m down move, 15m downtrend, 4h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["CMF_20_15m"] > -0.40) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
            # 15m down move, 1h downtrend, 4h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["CMF_20_1h"] > -0.30) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0))
            # 15m down move, 15m still not low enough, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_15m"] < 30.0) | (df["AROONU_14_4h"] < 60.0))
            # 15m down move, 15m still high, 1h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_4h"] < 20.0))
            # 15m down move, 1h still not low enough, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["ROC_9_1d"] < 100.0))
            # 15m down move, 1h still high, 4h downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_4h"] > -20.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_4h"] < 10.0))
            # 15m down move, 4h high, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_1d"] < 10.0))
            # 15m & 1h & 4h down move
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_1h"] > 15.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 40.0))
            # 15m & 1h down move, 1h downtrend
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 20.0) | (df["CMF_20_1h"] > -0.30))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 50.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 70.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 15m & 1h down move, 1d overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 25.0) | (df["ROC_9_1d"] < 100.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 50.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 55.0) | (df["AROONU_14_1h"] < 90.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 90.0))
            # 15m & 4h down move, 15m still high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0))
            # 15m & 4h down move, 1h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 35.0) | (df["AROONU_14_4h"] < 60.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_4h"] < 80.0))
            # 15m & 4h down move, 1d overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 40.0) | (df["ROC_9_1d"] < 40.0))
            # 15m & 4h down move, 1d overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 45.0) | (df["ROC_9_1d"] < 80.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 55.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 15m & 1d down move, 1h still high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0))
            # 15m & 1d down move, 1h still high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 15m & 1d down move, 1d overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1d"] > 30.0) | (df["ROC_9_1d"] < 10.0))
            # 15m down move, 15m still not low enough, 1h high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
            # 15m down move, 15m still high, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 40.0) | (df["AROONU_14_4h"] < 70.0))
            # 15m down move, 1h still high, 1d overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_1h"] < 50.0) | (df["ROC_9_1d"] < 80.0))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_1h"] < 60.0) | (df["AROONU_14_4h"] < 90.0))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 85.0))
            # 15m down move, 1h & 1d high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_1d"] < 70.0))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_1h"] < 85.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0))
            # 15m down move, 4h high, 4h downtrend
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_4h"] < 60.0) | (df["ROC_9_4h"] > -20.0))
            # 15m down move, 4h & 1d high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_4h"] < 70.0) | (df["AROONU_14_1d"] < 100.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] < 30.0))
            # 15m down move, 4h high, 1h overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_1h"] < 25.0))
            # 15m down move, 4h high, 1h overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1h"] < 10.0))
            # 15m down move, 1h still high, 4h overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_4h"] < 10.0))
            # 15m down move, 1h high, 4h downtrend
            & ((df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_4h"] > -20.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_4h"] < 20.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0))
            # 15m & 1h down move, 1d downtrend
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 30.0) | (df["ROC_9_1d"] > -30.0))
            # 15m & 1h down move, 1h overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 50.0) | (df["ROC_9_1h"] < 10.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1d"] < 100.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1h"] < 70.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 60.0) | (df["AROONU_14_1h"] < 90.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0))
            # 15m & 4h & 1d down move
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 20.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_4h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
            # 15m & 1d down move, 1h high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1d"] > 20.0) | (df["AROONU_14_1h"] < 70.0))
            # 15m & 1d down move, 15m still high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1d"] > 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0))
            # 15m down move, 15m still not low enough, 1h high
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0))
            # 15m down move, 15m still high, 1h high
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 40.0) | (df["AROONU_14_1h"] < 70.0))
            # 15m down move, 15m still high, 4h high
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 40.0) | (df["AROONU_14_4h"] < 70.0))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 80.0))
            # 15m down move, 1h high, 1d overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1d"] < 10.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] < 30.0))
            # 15m down move, 4h high, 1h overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1h"] < 30.0))
            # 15m down move, 1d high, 4h downtrend
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_4h"] > -20.0))
            # 15m down move, 1d high, 4h overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 20.0))
            # 15m down move, 1d high, 1d overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 20.0))
            # 15m down move, 15m high, 4h downtrend
            & ((df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 60.0) | (df["ROC_9_4h"] > -50.0))
            # 15 down move, 1h high, 1d overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_1d"] < 10.0))
            # 15m down move, 4h high, 15m downtrend
            & ((df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["CMF_20_15m"] > -0.40))
            # 15m & 1h down move, 15m high
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
            # 15m & 1h down move, 1d overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 40.0) | (df["ROC_9_1d"] < 80.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 50.0) | (df["AROONU_14_1h"] < 85.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 60.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0))
            # 15m & 4h down move, 4h overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_4h"] > 55.0) | (df["ROC_9_4h"] < 30.0))
            # 15m & 1d down move, 1h high
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1d"] > 25.0) | (df["AROONU_14_1h"] < 80.0))
            # 15m down move, 15m still not low enough, 1h high
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0))
            # 15m down move, 15m still high, 1h high
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
            # 15m down move, 1h high, 1d overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_1h"] < 60.0) | (df["ROC_9_1d"] < 60.0))
            # 15m down move, 1h high, 4h overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] < 40.0))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_1h"] < 85.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_1h"] < 90.0) | (df["AROONU_14_4h"] < 90.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] < 50.0))
            # 15m down move, 4h high, 1d overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1d"] < 100.0))
            # 15m down move, 1h high, 1d downtrend
            & ((df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_1d"] > -20.0))
            # 15m down move, 1h high & overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1h"] < 20.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_4h"] < 30.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 80.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 55.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
            # 15m & 4h down move, 15m high
            & ((df["RSI_3_15m"] > 30.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0))
            # 15m down move, 1h high & overbought
            & ((df["RSI_3_15m"] > 30.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_1h"] < 10.0))
            # 15m down move, 15m still high, 4h high
            & ((df["RSI_3_15m"] > 35.0) | (df["AROONU_14_15m"] < 40.0) | (df["AROONU_14_4h"] < 85.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 30.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 40.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_4h"] < 40.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 65.0) | (df["AROONU_14_1h"] < 80.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 35.0) | (df["RSI_3_4h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 15m down move, 15m still not low enough, 1h high
            & ((df["RSI_3_15m"] > 35.0) | (df["AROONU_14_15m"] < 25.0) | (df["AROONU_14_1h"] < 80.0))
            # 15m down move, 15m still not low enough, 1h high
            & ((df["RSI_3_15m"] > 35.0) | (df["AROONU_14_15m"] < 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
            # 15m down move, 1m still high, 4h overbought
            & ((df["RSI_3_15m"] > 35.0) | (df["AROONU_14_15m"] < 40.0) | (df["ROC_9_4h"] < 50.0))
            # 15m down move, 1h high, 4h overbought
            & ((df["RSI_3_15m"] > 35.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_4h"] < 10.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 35.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 70.0))
            # 15m down move, 1h high & overbought
            & ((df["RSI_3_15m"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1h"] < 40.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 40.0) | (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m & 4h down move, 1h high
            & ((df["RSI_3_15m"] > 40.0) | (df["RSI_3_4h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0))
            # 15m down move, 15m still high, 1d high
            & ((df["RSI_3_15m"] > 40.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0) | (df["ROC_9_1d"] < 100.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 40.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 40.0))
            # 15m down move, 1h high, 4h overbought
            & ((df["RSI_3_15m"] > 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_4h"] < 40.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 70.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["AROONU_14_4h"] < 50.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 70.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_1d"] > -40.0))
            # 1h & 4h down move, 1h still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_1h"] < 50.0))
            # 1h & 4h down move, 15m still not low enough
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0))
            # 1h down move, 1d high, 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1d"] > -20.0))
            # 1h down move, 4h high, 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_1d"] > -40.0))
            # 1h & 4h down move, 15m high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0))
            # 1h & 4h down move, 4h still not low enough
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["ROC_9_1d"] > -30.0))
            # 1h & 4h down move, 1h high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 35.0) | (df["AROONU_14_1h"] < 70.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 10.0))
            # 1h down move, 1d high, 4h downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_4h"] > -20.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 1h & 1d down move, 1d high
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_1d"] > 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 60.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 60.0) | (df["ROC_9_1d"] < 50.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] < 20.0))
            # 1h down move, 1d high, 4h downtrend
            & ((df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["ROC_9_4h"] > -20.0))
            # 1h down move, 4h downtrend, 1d overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["ROC_9_4h"] > -10.0) | (df["ROC_9_1d"] < 20.0))
            # 1h & 4h down move, 1h still high
            & ((df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 1h & 4h down move, 15m high
            & ((df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0))
            # 1h down move, 4h downtrend, 4h high
            & ((df["RSI_3_1h"] > 25.0) | (df["CMF_20_4h"] > -0.50) | (df["AROONU_14_4h"] < 70.0))
            # 1h down move, 1h still high, 1d high
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 40.0) | (df["AROONU_14_1d"] < 90.0))
            # 1h down move, 1h still high, 4h overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 50.0) | (df["ROC_9_4h"] < 60.0))
            # 1h down move, 4h high, 1d overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 40.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 1d still high, 1d downtrend
            & ((df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] > -20.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 35.0) | (df["RSI_14_1d"] < 80.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_4h"] < 60.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 1h & 1d down move, 1h high
            & ((df["RSI_3_1h"] > 30.0) | (df["RSI_3_1d"] > 30.0) | (df["AROONU_14_1h"] < 60.0))
            # 1h down move, 4h & 1d down move
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 70.0) | (df["AROONU_14_1d"] < 100.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 85.0) | (df["ROC_9_4h"] < 80.0))
            # 1h down move, 1d still high, 1d downtrend
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1d"] < 40.0) | (df["ROC_9_1d"] > -20.0))
            # 1h down move, 1d high, 4h downtrend
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] > -30.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 20.0))
            # 1h down move, 4h & 1d downtrend
            & ((df["RSI_3_1h"] > 30.0) | (df["ROC_9_4h"] > -25.0) | (df["ROC_9_1d"] > -60.0))
            # 1h & 1d down move, 1h high
            & ((df["RSI_3_1h"] > 35.0) | (df["RSI_3_1d"] > 35.0) | (df["AROONU_14_1h"] < 75.0))
            # 1h down move, 1h & 4h high
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 60.0) | (df["AROONU_14_4h"] < 70.0))
            # 1h down move, 4h high, 1d downtrend
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] > -30.0))
            # 1h down move, 1d high, 4h overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_4h"] < 40.0))
            # 1h down move, 4h & 1d overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 50.0))
            # 1h & 1d down move, 1d high
            & ((df["RSI_3_1h"] > 35.0) | (df["RSI_3_1d"] > 45.0) | (df["AROONU_14_1d"] < 90.0))
            # 1h & 4h down move, 1h high
            & ((df["RSI_3_1h"] > 40.0) | (df["RSI_3_4h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 60.0) | (df["ROC_9_1d"] < 40.0))
            # 1h down move, 1h still high, 1d high
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 50.0) | (df["AROONU_14_1d"] < 85.0))
            # 1h down move, 1h still high, 1d overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 50.0) | (df["ROC_9_1d"] < 20.0))
            # 1h down move, 1h high, 4h overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] < 30.0))
            # 1h down move, 1h high, 15m downtrend
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_15m"] > -15.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 50.0))
            # 1h down move, 1d high, 4h overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_4h"] < 20.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 45.0) | (df["RSI_3_4h"] > 65.0) | (df["ROC_9_1d"] < 200.0))
            # 1h down move, 1h still not low enough, 1d downtrend
            & ((df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1h"] < 30.0) | (df["ROC_9_1d"] > -25.0))
            # 1h down move, 1h still high, 1d overbought
            & ((df["RSI_3_1h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 4h high, 1h overbought
            & ((df["RSI_3_1h"] > 50.0) | (df["AROONU_14_4h"] < 85.0) | (df["ROC_9_1h"] < 20.0))
            # 1h down move, 1d high, 4h overbought
            & ((df["RSI_3_1h"] > 50.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_4h"] < 20.0))
            # 1h down move, 1h high & overbought
            & ((df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1h"] < 10.0))
            # 1h down move, 1h & 4h overbought
            & ((df["RSI_3_1h"] > 50.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_4h"] < 100.0))
            # 1h down move, 4h & 1d overbought
            & ((df["RSI_3_1h"] > 50.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 20.0))
            # 1h & 4h down move, 1h high
            & ((df["RSI_3_1h"] > 55.0) | (df["RSI_3_4h"] > 55.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0))
            # 1h down move, 1h high, 4h overbought
            & ((df["RSI_3_1h"] > 55.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_4h"] < 10.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 55.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 10.0))
            # 1h & 1d down move, 1h high
            & ((df["RSI_3_1h"] > 60.0) | (df["RSI_3_1d"] > 60.0) | (df["AROONU_14_1h"] < 70.0))
            # 1h down move, 4 high, 1h overbought
            & ((df["RSI_3_1h"] > 60.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1h"] < 10.0))
            # 1h down move, 1d high, 1h overbought
            & ((df["RSI_3_1h"] > 60.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1h"] < 10.0))
            # 1h down move, 1h high, 1d downtrend
            & ((df["RSI_3_1h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_1d"] > -10.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 1h high, 4h overbought
            & ((df["RSI_3_1h"] > 65.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] < 25.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 65.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1d"] < 20.0))
            # 4h down move, 1h still not low enough, 4h downtrend
            & ((df["RSI_3_4h"] > 3.0) | (df["AROONU_14_1h"] < 20.0) | (df["ROC_9_4h"] > -10.0))
            # 4h down move, 4h & 1d downtrend
            & ((df["RSI_3_4h"] > 3.0) | (df["ROC_9_4h"] > -10.0) | (df["ROC_9_1d"] > -10.0))
            # 4h & 1d down move, 15m still high
            & ((df["RSI_3_4h"] > 5.0) | (df["RSI_3_1d"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0))
            # 4h & 1d down move, 1h still not low enough
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0))
            # 4h & 1d down move, 1d downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 15.0) | (df["ROC_9_1d"] > -40.0))
            # 4h & 1d down move, 1d still high
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0))
            # 4h & 1d down move, 1d high
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 35.0) | (df["AROONU_14_1d"] < 100.0))
            # 4h & 1d down move, 1d overbought
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 45.0) | (df["ROC_9_1d"] < 10.0))
            # 4h down move, 15m high
            & ((df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0))
            # 4h & 1d down move, 4h high
            & ((df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 25.0) | (df["AROONU_14_4h"] < 70.0))
            # 4h & 1d down move, 1h still high
            & ((df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 4h & 1d down move, 1d high
            & ((df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 25.0) | (df["AROONU_14_1d"] < 70.0))
            # 4h & 1d down move, 1d downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 25.0) | (df["ROC_9_1d"] > -15.0))
            # 4h & 1d down move, 4h still high
            & ((df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0))
            # 4h down move, 1d still high, 4h still not low enough
            & ((df["RSI_3_4h"] > 15.0) | (df["RSI_14_1d"] < 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0))
            # 4h down move, 4h still not low enough, 1d downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 1h & 4h downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["ROC_9_1h"] > -30.0) | (df["ROC_9_4h"] > -30.0))
            # 4h & 1d down move, 1d high
            & ((df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 20.0) | (df["AROONU_14_1d"] < 60.0))
            # 4h & 1d down move, 4h still high
            & ((df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0))
            # 4h & 1d down move, 1d overbought
            & ((df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 45.0) | (df["ROC_9_1d"] < 40.0))
            # 4h down move, 15m high
            & ((df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 80.0))
            # 4h down move, 1h high, 4h downtrend
            & ((df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_4h"] > -20.0))
            # 4h down move, 4h still high, 4h downtrend
            & ((df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 50.0) | (df["CMF_20_4h"] > -0.40))
            # 4h down move, 4h high, 1d downtrend
            & ((df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_1d"] > -30.0))
            # 4h & 1d down move, 1d high
            & ((df["RSI_3_4h"] > 30.0) | (df["RSI_3_1d"] > 50.0) | (df["AROONU_14_1d"] < 90.0))
            # 4h down move, 1h high, 1h downtrend
            & ((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1h"] > -10.0))
            # 4h down move, 1h high, 4h downtrend
            & ((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] > -10.0))
            # 4h down move, 1h still high, 1d overbought
            & ((df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["ROC_9_1d"] < 30.0))
            # 4h & 1d down move, 1d overbought
            & ((df["RSI_3_4h"] > 35.0) | (df["RSI_3_1d"] > 50.0) | (df["ROC_9_1d"] < 100.0))
            # 4h down move, 4h & 1d high
            & ((df["RSI_3_4h"] > 35.0) | (df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0))
            # 4h down move, 4h high, 1d downtrend
            & ((df["RSI_3_4h"] > 45.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] > -30.0))
            # 4h & 1d down move, 1d high
            & ((df["RSI_3_4h"] > 40.0) | (df["RSI_3_1d"] > 60.0) | (df["AROONU_14_1d"] < 100.0))
            # 4h down move, 4h high, 1d downtrend
            & ((df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_1d"] > -60.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 45.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1d"] < 20.0))
            # 4h down move, 4h high & overbought
            & ((df["RSI_3_4h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0) | (df["ROC_9_4h"] < 20.0))
            # 4h down move, 4h high, 1d overbought
            & ((df["RSI_3_4h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1d"] < 10.0))
            # 4h down move, 4h high & overbought
            & ((df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 10.0))
            # 4h down move, 1h high, 1d downtrend
            & ((df["RSI_3_4h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 4h high & overbought
            & ((df["RSI_3_4h"] > 55.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] < 20.0))
            # 4h down move, 4h high, 1d overbought
            & ((df["RSI_3_4h"] > 55.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] < 100.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 55.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1d"] < 60.0))
            # 4h down move, 4h & 1d high
            & ((df["RSI_3_4h"] > 60.0) | (df["AROONU_14_4h"] < 70.0) | (df["AROONU_14_1d"] < 70.0))
            # 4h down move, 1d high, 4h overbought
            & ((df["RSI_3_4h"] > 60.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 10.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 60.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 200.0))
            # 4h down move, 4h still high, 4h overbought
            & ((df["RSI_3_4h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_4h"] < 10.0))
            # 4h down move, 4h high, 1d overbought
            & ((df["RSI_3_4h"] > 65.0) | (df["AROONU_14_4h"] < 75.0) | (df["ROC_9_1d"] < 30.0))
            # 4h down move, 4h high & overbought
            & ((df["RSI_3_4h"] > 65.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 20.0))
            # 1d down move, 1d still not low enough, 1d downtrend
            & ((df["RSI_3_1d"] > 5.0) | (df["AROONU_14_1d"] < 20.0) | (df["ROC_9_1d"] > -20.0))
            # 1d down move, 15m still high
            & ((df["RSI_3_1d"] > 5.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0))
            # 1d down move, 1h high
            & ((df["RSI_3_1d"] > 10.0) | (df["AROONU_14_1h"] < 70.0))
            # 1d down move, 4h downtrend, 4h high
            & ((df["RSI_3_1d"] > 20.0) | (df["CMF_20_4h"] > -0.25) | (df["AROONU_14_4h"] < 70.0))
            # 1d down move, 1d still high, 1d downtrend
            & ((df["RSI_3_1d"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] > -20.0))
            # 1d down move, 4h & 1d high
            & ((df["RSI_3_1d"] > 40.0) | (df["AROONU_14_4h"] < 70.0) | (df["AROONU_14_1d"] < 100.0))
            # 1d down move, 1d high & overbought
            & ((df["RSI_3_1d"] > 40.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 10.0))
            # 1d down move, 1h high, 1d overbought
            & ((df["RSI_3_1d"] > 60.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] < 100.0))
            # 4h downtrend, 4h high & over
            & ((df["CMF_20_4h"] > -0.10) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 30.0))
            # 15m still high, 4h high, 1h overbought
            & ((df["AROONU_14_15m"] < 40.0) | (df["AROONU_14_4h"] < 85.0) | (df["ROC_9_1h"] < 20.0))
            # 15m still high, 4h high, 1h overbought
            & ((df["AROONU_14_15m"] < 40.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1h"] < 20.0))
            # 4h down move, 1h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1h"] < 40.0) | (df["ROC_9_1d"] > -50.0))
            # 1h high, 4h high & overbought
            & ((df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 30.0))
            # 1h & 4h high, 1h overbought
            & ((df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_1h"] < 30.0))
            # 1h & 4h & 1d high
            & ((df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 100.0) | (df["AROONU_14_1d"] < 100.0))
            # 1h & 4h high, 1d overbought
            & ((df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1d"] < 30.0))
            # 1h high, 1h overbought
            & ((df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1h"] < 10.0))
            # 1h & 1d high, 4h overbought
            & ((df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 10.0))
            # 1h high, 1h & 4h overbought
            & ((df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_4h"] < 10.0))
            # 1h high, 1h overbought, 1d downtrend
            & ((df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1h"] < 50.0) | (df["ROC_9_1d"] > -50.0))
            # 1h high, 4h &1d overbought
            & ((df["AROONU_14_1h"] < 85.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 30.0))
            # 1h high, 4h & 1d overbought
            & ((df["AROONU_14_1h"] < 90.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 15.0))
            # 4h & 1d high, 4h overbought
            & ((df["AROONU_14_4h"] < 70.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 50.0))
            # 4h & 1d high, 1d overbought
            & ((df["AROONU_14_4h"] < 70.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 20.0))
            # 4h & 1d high, 4h overbought
            & ((df["AROONU_14_4h"] < 90.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 30.0))
            # 4h high, 4h overbought, 1d downtrend
            & ((df["AROONU_14_4h"] < 90.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] > -40.0))
            # 1d high, 4h & 1d overbought
            & ((df["AROONU_14_1d"] < 70.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 200.0))
            # 1d high, 1h & 1d overbought
            & ((df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1h"] < 20.0) | (df["ROC_9_1d"] < 50.0))
            # 1d high, 1d downtrend
            & ((df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] > -30.0))
            # 1d high, 1h & 4h downtrend
            & ((df["AROONU_14_1d"] < 85.0) | (df["ROC_9_1h"] > -30.0) | (df["ROC_9_4h"] > -50.0))
            # 1d high, 1h & 1d overbought
            & ((df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_1d"] < 50.0))
            # 1d high, 4h & 1d overbought
            & ((df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 20.0))
            # 15m still not low enough, 4h high, 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1d"] < 30.0))
            # 15m still high, 4h high & overbought
            & (
              (df["STOCHRSIk_14_14_3_3_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 30.0)
            )
            # 1h high, 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_1d"] < 40.0))
            # 1h high, 1h overbought, 4h downtrend
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_4h"] > -10.0))
            # 1h high, 4h & 1d downtrend
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -80.0))
            # 1h down move, 1h & 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_1d"] < 50.0))
            # 1h high & overbought
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1h"] < 40.0))
            # 4h high, 1h & 4h overbought
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_4h"] < 20.0))
            # 4h high, 1h & 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_1h"] < 20.0) | (df["ROC_9_1d"] < 200.0))
            # 4h high, 4h & 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 30.0))
            # 4h high, 1d downtrend
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1d"] > -50.0))
            # 4h high, 1h & 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_1h"] < 20.0) | (df["ROC_9_1d"] < 20.0))
            # 4h high, 4h & 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 10.0))
            # 1d hihg, 1h & 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1h"] < 30.0) | (df["ROC_9_1d"] < 100.0))
            # 1d P&D, dh downtrend
            & ((df["change_pct_1d"] > -50.0) | (df["change_pct_1d"].shift(288) < 50.0) | (df["RSI_3_4h"] > 15.0))
            # big drop in the last 20 days, 1d high, 1d downtrend
            & (
              (df["close"] > (df["high_max_20_1d"] * 0.20))
              | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0)
              | (df["ROC_9_1d"] > -15.0)
            )
            # drop in last 20 days, 1h high, 1d downtrend
            & ((df["close"] > (df["high_max_20_1d"] * 0.20)) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] > -70.0))
            # drop in last 20 days. 4h high
            & ((df["close"] > (df["high_max_20_1d"] * 0.10)) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0))
          )

          # Logic
          long_entry_logic.append(
            (df["RSI_20"] < df["RSI_20"].shift(1))
            & (df["RSI_3"] < 46.0)
            & (df["AROONU_14"] < 25.0)
            & (df["STOCHRSIk_14_14_3_3"] < 20.0)
            & (df["AROONU_14_15m"] < 50.0)
            & (df["close"] < df["SMA_16"] * 0.960)
          )

        # Condition #21 - Pump mode (Long).
        if long_entry_condition_index == 21:
          # Protections
          long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288)
          # long_entry_logic.append(df["protections_long_global"] == True)

          long_entry_logic.append(
            # 5m down move, 4h high, 1h overbought
            ((df["RSI_3"] > 10.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1h"] < 30.0))
            # 15m down move, 1h & 4h overbought
            & ((df["RSI_3_15m"] > 5.0) | (df["ROC_9_1h"] < 25.0) | (df["ROC_9_4h"] < 50.0))
            # 15m & 1h down move, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["ROC_9_1d"] < 80.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 80.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
            # 15m & 1h down move, 4h overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 45.0) | (df["ROC_9_4h"] < 50.0))
            # 15m & 1h down move, 4h overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 60.0) | (df["ROC_9_4h"] < 70.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 55.0) | (df["AROONU_14_4h"] < 90.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 80.0))
            # 15m down move, 1h high, 1d downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_1d"] > -50.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 30.0))
            # 15m down move, 1d high, 1d downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0) | (df["ROC_9_1d"] > -15.0))
            # 15m & 1h down move, 4h overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 35.0) | (df["ROC_9_4h"] < 100.0))
            # 15m & 1d down move, 1h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1d"] > 35.0) | (df["AROONU_14_1h"] < 90.0))
            # 15m down move, 15m still high, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 40.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_1h"] < 40.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m down move, 1h high, 4h overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_1h"] < 60.0) | (df["ROC_9_4h"] < 80.0))
            # 15m down move, 4h high, 4h downtrend
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_4h"] < 90.0) | (df["CMF_20_4h"] > -0.25))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["ROC_9_1h"] < 30.0) | (df["ROC_9_4h"] < 50.0))
            # 15m down move, 4h & 1d overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["ROC_9_4h"] < 60.0) | (df["ROC_9_1d"] < 80.0))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1h"] < 60.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m down move, 4h high, 1h overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1h"] < 10.0))
            # 15m down move, 4h & 1d overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["ROC_9_4h"] < 80.0) | (df["ROC_9_1d"] < 200.0))
            # 15m & 1h down move, 1d overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 25.0) | (df["ROC_9_1d"] < 80.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 55.0) | (df["AROONU_14_1h"] < 90.0))
            # 15m down move, 15m still high, 1d downtrend
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 40.0) | (df["ROC_9_1d"] > -25.0))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_1h"] < 90.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m down move, 4h high, 1h overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1h"] < 20.0))
            # 15m down move, 4h high, 1d overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1d"] < 100.0))
            # 15m down move, 1h high & overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1h"] < 20.0))
            # 15m down move, 1h & 4h overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["ROC_9_1h"] < 40.0) | (df["ROC_9_4h"] < 40.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_4h"] < 200.0))
            # 15m down move, 1h & 4h overbought
            & ((df["RSI_3_15m"] > 30.0) | (df["ROC_9_1h"] < 60.0) | (df["ROC_9_4h"] < 80.0))
            # 15m down move, 4h & 1d overbought
            & ((df["RSI_3_15m"] > 40.0) | (df["ROC_9_4h"] < 100.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 4h overbought, 1d downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["ROC_9_4h"] < 50.0) | (df["ROC_9_1d"] > -30.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 20.0) | (df["ROC_9_4h"] < 50.0) | (df["AROONU_14_4h"] < 80.0))
            # 1h & 4h down move, 1h still high
            & ((df["RSI_3_1h"] > 20.0) | (df["ROC_9_4h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 1h & 4h down move, 4h overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["ROC_9_4h"] < 50.0) | (df["ROC_9_4h"] < 10.0))
            # 1h down move, 1h & 4h high
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 100.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 10.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 50.0))
            # 1h down move, 1h still high, 1d overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["ROC_9_4h"] < 10.0))
            # 1h down move, 4h & 1d overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["ROC_9_4h"] < 40.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 1d high, 4h overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 60.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 30.0))
            # 1h down move, 1h high, 1d downtrend
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1d"] > -40.0))
            # 1h down move, 4h high, 1d downtrend
            & ((df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1d"] > -50.0))
            # 1h down move, 1h & 1d overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["ROC_9_1h"] < 30.0) | (df["ROC_9_1d"] < 60.0))
            # 1h down move, 1h high, 4h overbought
            & ((df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_4h"] < 25.0))
            # 1h down move, 4h high, 1h overbought
            & ((df["RSI_3_1h"] > 45.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_1h"] < 20.0))
            # 1h down move, 4h high, 1h overbought
            & ((df["RSI_3_1h"] > 45.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1h"] < 10.0))
            # 1h down move, 1d high, 1d downtrend
            & ((df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] > -25.0))
            # 1h down move, 1h high & overbought
            & ((df["RSI_3_1h"] > 50.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_1h"] < 10.0))
            # 1h down move, 1h high, 1d downtrend
            & ((df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_1d"] > -20.0))
            # 1h down move, 1h & 1d overbought
            & ((df["RSI_3_1h"] > 50.0) | (df["ROC_9_1h"] < 25.0) | (df["ROC_9_1d"] < 200.0))
            # 1h down move, 1h high, 4h overbought
            & ((df["RSI_3_1h"] > 55.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] < 40.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 55.0) | (df["AROONU_14_4h"] < 85.0) | (df["ROC_9_4h"] < 80.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 60.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 100.0))
            # 1h down move, 1h & 1d overbought
            & ((df["RSI_3_1h"] > 60.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_1d"] < 250.0))
            # 1h down move, 1h high, 4h overbought
            & ((df["RSI_3_1h"] > 65.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_4h"] < 30.0))
            # 1h down move, 1h overbought
            & ((df["RSI_3_1h"] > 65.0) | (df["ROC_9_1h"] < 40.0))
            # 4h down move, 1h high & overbought
            & ((df["RSI_3_4h"] > 3.0) | (df["AROONU_14_1h"] < 85.0) | (df["ROC_9_1h"] < 60.0))
            # 1d down move, 4h high & overbought
            & ((df["RSI_3_1d"] > 5.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_4h"] < 50.0))
            # 1d down move, 1h high
            & ((df["RSI_3_1d"] > 10.0) | (df["AROONU_14_1h"] < 70.0))
            # 1d down move, 4h high, 1h overbought
            & ((df["RSI_3_1d"] > 20.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1h"] < 25.0))
            # 1d down move, 4h high, 4h overbought
            & ((df["RSI_3_1d"] > 20.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 40.0))
            # 1d down move, 1h & 4h overbought
            & ((df["RSI_3_1d"] > 30.0) | (df["ROC_9_1h"] < 30.0) | (df["ROC_9_4h"] < 60.0))
            # 1d down move, 4h high & overbought
            & ((df["RSI_3_1d"] > 35.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 20.0))
            # 1d down move, 1h & 4h high
            & ((df["RSI_3_1d"] > 40.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 100.0))
            # 1d down move, 4h & 1d high
            & ((df["RSI_3_1d"] > 40.0) | (df["AROONU_14_4h"] < 70.0) | (df["AROONU_14_1d"] < 100.0))
            # 1d down move, 4h high & overbought
            & ((df["RSI_3_1d"] > 45.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 30.0))
            # 1d down move, 1h high, 1d overbought
            & ((df["RSI_3_1d"] > 60.0) | (df["AROONU_14_1h"] < 75.0) | (df["ROC_9_1d"] < 20.0))
            # 1d down move, 1h & 4h high
            & ((df["RSI_3_1d"] > 65.0) | (df["AROONU_14_1h"] < 90.0) | (df["AROONU_14_4h"] < 100.0))
            # 1d downtrend, 1d high & overbought
            & ((df["CMF_20_1d"] > -0.40) | (df["AROONU_14_1d"] < 85.0) | (df["ROC_9_1d"] < 20.0))
            # 15m not low enough, 1h high, 1d overbought
            & ((df["AROONU_14_15m"] < 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1d"] < 200.0))
            # 1h still high, 1h & 4h overbought
            & ((df["AROONU_14_1h"] < 50.0) | (df["ROC_9_1h"] < 40.0) | (df["ROC_9_4h"] < 40.0))
            # 1h & 4h high, 4h overbought
            & ((df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 20.0))
            # 1h & 4h high, 4h overbought
            & ((df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 30.0))
            # 1h & 4h high, 1h overbought
            & ((df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_1h"] < 30.0))
            # 1h & 4h high, 1d overbought
            & ((df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_1d"] < 100.0))
            # 1h & 1d high, 4h overbought
            & ((df["AROONU_14_1h"] < 90.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_4h"] < 30.0))
            # 1h & 4h high, 1h overbought
            & ((df["AROONU_14_1h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_1h"] < 10.0))
            # 1h high & overbought
            & ((df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1h"] < 80.0))
            # 1h high, 1h & 4h overbought
            & ((df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_4h"] < 10.0))
            # 1h high, 4h overbought, 1d downtrend
            & ((df["AROONU_14_1h"] < 80.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] > -50.0))
            # 1h & 4h high, 15m downtrend
            & ((df["AROONU_14_1h"] < 85.0) | (df["AROONU_14_4h"] < 85.0) | (df["ROC_9_15m"] > -40.0))
            # 1h & 4h high, 1h overbought
            & ((df["AROONU_14_1h"] < 90.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_1h"] < 10.0))
            # 4h high, 1h overbought, 1d downtrend
            & ((df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1h"] < 30.0) | (df["ROC_9_1d"] > -30.0))
            # 4h & 1d high, 4h downtrend
            & ((df["AROONU_14_4h"] < 85.0) | (df["AROONU_14_1d"] < 100.0) | (df["CMF_20_4h"] > -0.30))
            # 4h & 1d high, 1h overbought
            & ((df["AROONU_14_4h"] < 85.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1h"] < 20.0))
            # 4h & 1d high, 4h overbought
            & ((df["AROONU_14_4h"] < 85.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_4h"] < 60.0))
            # 4h high, 1h & 4h overbought
            & ((df["AROONU_14_4h"] < 85.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_4h"] < 20.0))
            # 4h high, 1d high & overbought
            & ((df["AROONU_14_4h"] < 90.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 30.0))
            # 4h high, 1h & 4h overbought
            & ((df["AROONU_14_4h"] < 90.0) | (df["ROC_9_1h"] < 40.0) | (df["ROC_9_4h"] < 40.0))
            # 4h high, 4h & 1d overbought
            & ((df["AROONU_14_4h"] < 90.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 100.0))
            # 4h high, 1h & 4h overbought
            & ((df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1h"] < 40.0) | (df["ROC_9_4h"] < 80.0))
            # 1d high, 1h & 4h overbought
            & ((df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_4h"] < 20.0))
            # 1h high, 1h & 4h overbought
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 60.0) | (df["ROC_9_1h"] < 40.0) | (df["ROC_9_4h"] < 40.0))
            # 1h high, 1h overbought
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1h"] < 10.0))
            # 1h high, 4h overbought. 1d downtrend
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_4h"] < 40.0) | (df["CMF_20_1d"] > -0.25))
            # 4h high, 1h & 4h overbought
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_4h"] < 20.0))
            # 4h high & 4h & 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 20.0))
            # 1d high, 1h & 4h overbought
            & ((df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_4h"] < 20.0))
            # 1d hihg, 1h & 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1h"] < 30.0) | (df["ROC_9_1d"] < 100.0))
            # 1d high, 4h & 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_4h"] < 40.0) | (df["ROC_9_1d"] < 100.0))
          )

          # Logic
          long_entry_logic.append(
            (df["AROONU_14"] < 25.0)
            & (df["STOCHRSIk_14_14_3_3"] < 20.0)
            & (df["AROONU_14_15m"] < 50.0)
            & (df["close"] < df["EMA_16"] * 0.960)
            & (((df["EMA_50"] - df["EMA_200"]) / df["close"] * 100.0) > 6.0)
          )

        # Condition #41 - Quick mode (Long).
        if long_entry_condition_index == 41:
          # Protections
          long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288)
          # long_entry_logic.append(df["protections_long_global"] == True)

          long_entry_logic.append(
            # 5m & 1d down move, 4h still high
            ((df["RSI_3"] > 15.0) | (df["RSI_3_1d"] > 30.0) | (df["AROONU_14_4h"] < 40.0))
            # 15m & 1h down move, 1d still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0))
            # 15m & 1h down move, 1h still not low enough
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0))
            # 15m & 1h down move, 15m downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["CMF_20_15m"] > -0.40))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_4h"] < 80.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0))
            # 15m & 1h down move, 1d downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 15.0) | (df["ROC_9_1d"] > -20.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 50.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 60.0))
            # 15m & 1h down move, 1d still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1d"] < 50.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1h"] < 85.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 75.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 5.0) | (df["AROONU_14_4h"] < 80.0))
            # 15m & 4h down move, 4h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
            # 15m down move, 15m still high, 1d downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["AROONU_14_15m"] < 50.0) | (df["ROC_9_1d"] > -20.0))
            # 15m down move, 1h still high, 1d high
            & ((df["RSI_3_15m"] > 3.0) | (df["AROONU_14_1h"] < 50.0) | (df["AROONU_14_1d"] < 70.0))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 3.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 80.0))
            # 15m down move, 4h & 1d high
            & ((df["RSI_3_15m"] > 3.0) | (df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 15m down move, 1h high, 4h overbought
            & ((df["RSI_3_15m"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_4h"] < 10.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 3.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 10.0))
            # 15m down move, 4h & 1d downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -20.0))
            # 15m & 1h down move, 1d downtrend
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 5.0) | (df["ROC_9_1d"] > -10.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1d"] < 80.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 70.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 70.0))
            # 15m & 4h down move, 1h still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 15m & 4h down move, 1d downtrend
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1d"] > -20.0))
            # 15m & 4h down move, 1h high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
            # 15m & 4h down move, 1d downtrend
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 25.0) | (df["ROC_9_1d"] > -70.0))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 5.0) | (df["AROONU_14_1h"] < 100.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m down move, 1h still high, 1d downtrend
            & ((df["RSI_3_15m"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_1d"] > -40.0))
            # 5m down move, 4h high, 1d downtrend
            & ((df["RSI_3_15m"] > 5.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1d"] > -40.0))
            # 15m down move, 1h & 4h overbought
            & ((df["RSI_3_15m"] > 5.0) | (df["ROC_9_1h"] < 25.0) | (df["ROC_9_4h"] < 25.0))
            # 15m down move, 4h & 1d overbought
            & ((df["RSI_3_15m"] > 5.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 100.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 70.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0))
            # 15m & 1h down move, 1d downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["ROC_9_1d"] > -30.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 80.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 15m & 1h down move, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 25.0) | (df["ROC_9_1d"] < 20.0))
            # 15m & 1h down move, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 30.0) | (df["ROC_9_1d"] < 30.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 90.0))
            # 15m & 1d down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1d"] > 25.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m & 1d down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1d"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 15m down move, 15m still high, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_15m"] < 50.0) | (df["ROC_9_1d"] < 30.0))
            # 15m down move, 15m high
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_15m"] < 70.0))
            # 15m down move, 1h high, 15m downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_15m"] > -10.0))
            # 15m down move, 1h high, 1d downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1d"] > -30.0))
            # 15m down move, 1h high, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1h"] < 85.0) | (df["ROC_9_1d"] < 40.0))
            # 15m down move, 1h & 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1h"] < 90.0) | (df["AROONU_14_1d"] < 100.0))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1h"] < 100.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m down move, 4h high, 1h downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_4h"] < 85.0) | (df["ROC_9_1h"] > -25.0))
            # 15m down move, 4h & 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_4h"] < 90.0) | (df["AROONU_14_1d"] < 100.0))
            # 15m down move, 4h high, 15m downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_4h"] < 100.00) | (df["ROC_9_15m"] > -30.0))
            # 15m down move, 1h high & overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 60.0))
            # 15m down move, 1d high, 1d downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1d"] < 85.0) | (df["CMF_20_1d"] > -0.40))
            # 15m down move, 1h high, 15m downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_15m"] > -10.0))
            # 15m down move, 1h high, 1d downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1d"] > -30.0))
            # 15m down move, 1h high, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1d"] < 30.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_4h"] < 20.0))
            # 15m & 1h down move, 1d overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 15.0) | (df["ROC_9_1d"] < 30.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1d"] < 90.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 80.0))
            # 15m & 1d down move, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0))
            # 15m & 1d down move, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1d"] > 25.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m & 1d down move, 1d high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1d"] > 50.0) | (df["AROONU_14_1d"] < 80.0))
            # 15m down move, 15m still high, 1h high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_1h"] < 90.0))
            # 15m down move, 15m still high, 1h high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m down move, 4h high, 4h downtrend
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_4h"] < 60.0) | (df["ROC_9_4h"] > -20.0))
            # 15m down move, 4h & 1d high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0))
            # 15m down move, 1h high, 4h downtrend
            & ((df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_4h"] > -30.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 10.0))
            # 15m down move, 4h high, 1d downtrend
            & ((df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1d"] > -50.0))
            # 15m down move, 1d high, 4h overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_4h"] < 40.0))
            # 15m down move, 1h downtrend, 4h overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["ROC_9_1h"] > -20.0) | (df["ROC_9_4h"] < 80.0))
            # 15m down move, 4h & 1d downtrend
            & ((df["RSI_3_15m"] > 15.0) | (df["ROC_9_4h"] > -10.0) | (df["ROC_9_1d"] > -40.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 70.0))
            # 15m & 1h down move, 1d overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 20.0) | (df["ROC_9_1d"] < 50.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1d"] < 100.0))
            # 15m &4h down move, 4h still high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 50.0))
            # 15m & 4h down move, 1d overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_4h"] > 30.0) | (df["ROC_9_1d"] < 50.0))
            # 15m down move, 15m high, 1d overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 70.0) | (df["ROC_9_1d"] < 40.0))
            # 15m down move, 1h high, 4h downtrend
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_4h"] > -15.0))
            # 15m down move, 1h high & overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1h"] < 100.0) | (df["ROC_9_1h"] < 50.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] < 20.0))
            # 15m down move, 4h high, 1d overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1d"] < 60.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0))
            # 15m & 1d down move, 1h high
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1d"] > 25.0) | (df["AROONU_14_1h"] < 90.0))
            # 15m down move, 15m high, 1h high
            & ((df["RSI_3_15m"] > 30.0) | (df["AROONU_14_15m"] < 60.0) | (df["AROONU_14_1h"] < 90.0))
            # 15m down move, 15m high, 4h downtrend
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 60.0) | (df["ROC_9_4h"] > -20.0))
            # 15m down move, 1h high, 4h overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_4h"] < 30.0))
            # 15m down move, 1h high, 4h overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_1h"] < 100.0) | (df["ROC_9_4h"] < 15.0))
            # 15m down move, 1h high, 1d overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_1h"] < 100.0) | (df["ROC_9_1d"] < 20.0))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 30.0) | (df["AROONU_14_1h"] < 90.0) | (df["AROONU_14_4h"] < 90.0))
            # 1h & 4h down move, 1d still high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0))
            # 1h & 4h down move, 1h still high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_1h"] < 40.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 1h down move, 15m & 1h downtrend
            & ((df["RSI_3_1h"] > 3.0) | (df["CMF_20_15m"] > -0.30) | (df["CMF_20_1h"] > -0.30))
            # 1h down move, 1h still high, 1h downtrend
            & ((df["RSI_3_1h"] > 3.0) | (df["AROONU_14_1h"] < 50.0) | (df["ROC_9_1h"] > -20.0))
            # 1h down move, 1h high
            & ((df["RSI_3_1h"] > 3.0) | (df["AROONU_14_1h"] < 70.0))
            # 1h down move, 4h high
            & ((df["RSI_3_1h"] > 3.0) | (df["AROONU_14_4h"] < 70.0))
            # 1h down move, 1d high
            & ((df["RSI_3_1h"] > 3.0) | (df["AROONU_14_1d"] < 70.0))
            # 1h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_1h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_1h"] > -20.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 60.0) | (df["ROC_9_1d"] < 20.0))
            # 1h & 4h & 1d down move
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 20.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1d"] < 100.0))
            # 1h & 4h down move, 4h still not low enough
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 20.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_14_4h"] < 40.0))
            # 1h & 4h down move, 1h downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 30.0) | (df["CMF_20_1h"] > -0.30))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 70.0))
            # 1h & 1d down move, 1h still high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_1d"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 1h down move, 1d high, 1h downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["AROONU_14_1d"] < 85.0) | (df["ROC_9_1h"] > -50.0))
            # 1h down move, 1d high, 4h downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_4h"] > -30.0))
            # 1h down move, 1d high, 1d downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] > -20.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 5.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 20.0))
            # 1h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_1d"] > -50.0))
            # 1h down move, 4h & 1d downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["ROC_9_4h"] > -25.0) | (df["ROC_9_1d"] > -50.0))
            # 1h & 4h & 1d down move
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 15.0))
            # 1h & 4h down move, 1h high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["AROONU_14_1h"] < 80.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["AROONU_14_1d"] < 80.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
            # 1h & 4h down move, 1d still not low enough
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 20.0))
            # 1h & 4h down move, 4h downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_4h"] > -35.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1d"] > -20.0))
            # 1h & 4h down move, 15m downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_15m"] > -20.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["ROC_9_1d"] > -30.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 90.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_1d"] < 80.0))
            # 1h & 1d down move, 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 10.0) | (df["ROC_9_1d"] > -30.0))
            # 1h & 1d down move, 4h still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 10.0) | (df["AROONU_14_4h"] < 40.0))
            # 1h & 1d down move, 4h high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 1h & 1d down move, 1h still not low enough
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0))
            # 1h & 1d down move, 1h high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 25.0) | (df["AROONU_14_1h"] < 70.0))
            # 1h & 1d down move, 1h downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 30.0) | (df["CMF_20_1h"] > -0.40))
            # 1h down move, 1d downtrend, 4h high
            & ((df["RSI_3_1h"] > 10.0) | (df["CMF_20_1d"] > -0.30) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0))
            # 1h down move, 1h still high, 4h overbought
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 50.0) | (df["ROC_9_4h"] < 20.0))
            # 1h down move, 1h & 4h high
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 60.0) | (df["AROONU_14_4h"] < 60.0))
            # 1h down move, 1h high, 1d high
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 60.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
            # 1h down move, 1d overbought
            & ((df["RSI_3_1h"] > 10.0) | (df["ROC_9_1d"] < 50.0))
            # 1h & 4h down move, 1h downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_1h"] > -15.0))
            # 1h & 4h down move, 4h downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_4h"] > -25.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_1d"] > -70.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_14_4h"] < 40.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 70.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 100.0))
            # 1h & 1d down move, 1h still high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_1d"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 1h & 1d down move, 1h high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_1d"] > 30.0) | (df["AROONU_14_1h"] < 80.0))
            # 1h down move, 1h downtrend, 1h still high
            & ((df["RSI_3_1h"] > 15.0) | (df["CMF_20_1h"] > -0.30) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 1h down move, 1d downtrend, 1d high
            & ((df["RSI_3_1h"] > 15.0) | (df["CMF_20_1d"] > -0.30) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0))
            # 1h down move, 1h & 1d high
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_1d"] < 90.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] < 40.0))
            # 1h down move, 1h high, 1h downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 80.0) | (df["CMF_20_1h"] > -0.25))
            # 1h down move, 1h high, 4h downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_4h"] > -30.0))
            # 1h down move, 4h still high, 1d overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] < 60.0))
            # 1h down move, 4h high, 15m downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_4h"] < 85.0) | (df["ROC_9_15m"] > -15.0))
            # 1h down move, 4h high, 1h downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_4h"] < 85.0) | (df["ROC_9_1h"] > -30.0))
            # 1h down move, 1d high, 4h overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 10.0))
            # 1h down move, 4h still not low enough, 1d downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["ROC_9_1d"] > -30.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 100.0))
            # 1h down move, 1h downtrend, 1d overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["ROC_9_1h"] > -30.0) | (df["ROC_9_1d"] < 35.0))
            # 1h down move, 4h downtrend, 1d overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["ROC_9_4h"] > -25.0) | (df["ROC_9_1d"] < 100.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 80.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 1h & 1d down move, 4h high
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_1d"] > 20.0) | (df["AROONU_14_4h"] < 90.0))
            # 1h & 1d down move, 1h high
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_1d"] > 25.0) | (df["AROONU_14_1h"] < 70.0))
            # 1h & 1d down move, 4h overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_1d"] > 30.0) | (df["ROC_9_4h"] < 30.0))
            # 1h down move, 1h still high, 4h high
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 50.0) | (df["AROONU_14_4h"] < 90.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 60.0))
            # 1h down move, 1h high, 4h overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_4h"] < 10.0))
            # 1h down move, 1d high, 1d downtrend
            & ((df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["ROC_9_1d"] > -50.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 40.0))
            # 1h down move, 1h & 4h overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["ROC_9_1h"] < 20.0) | (df["ROC_9_4h"] < 40.0))
            # 1h down move, 4h & 1d downtrend
            & ((df["RSI_3_1h"] > 20.0) | (df["ROC_9_4h"] > -30.0) | (df["ROC_9_1d"] > -40.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 40.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 15m still high, 1h high
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_1h"] < 90.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] < 200.0))
            # 1h down move, 1h & 1d high
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_1d"] < 90.0))
            # 1h down move, 1h high, 4h overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_4h"] < 20.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 85.0) | (df["ROC_9_1d"] < 50.0))
            # 1h down move, 4h high
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 90.0))
            # 1h down move, 1h still high, 1d overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_1d"] < 40.0))
            # 1h down move, 4h high, 1d downtrend
            & ((df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1d"] > -40.0))
            # 1h down move, 15m downtrend, 4h overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["ROC_9_15m"] > -25.0) | (df["ROC_9_4h"] < 30.0))
            # 1h down move, 1h & 1d downtrend
            & ((df["RSI_3_1h"] > 25.0) | (df["ROC_9_1h"] > -50.0) | (df["ROC_9_1d"] > -50.0))
            # 1h down move, 1h downtrend, 4h overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["ROC_9_1h"] > -25.0) | (df["ROC_9_4h"] < 50.0))
            # 1h down move, 1h & 4h overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["ROC_9_1h"] < 30.0) | (df["ROC_9_4h"] < 100.0))
            # 1h & 4h down move, 1h high
            & ((df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_1h"] < 90.0))
            # 1h down move, 1h downtrend, 1h high
            & ((df["RSI_3_1h"] > 30.0) | (df["CMF_20_1h"] > -0.25) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0))
            # 1h down move, 4h downtrend, 4h high
            & ((df["RSI_3_1h"] > 30.0) | (df["CMF_20_4h"] > -0.50) | (df["AROONU_14_4h"] < 100.0))
            # 1h down move, 1h high & overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1h"] < 10.0))
            # 1h down move, 1h high, 1d downtrend
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] > -60.0))
            # 1h down move, 4h high, 1h overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1h"] < 50.0))
            # 1h down move, 4h high, 1d downtrend
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_1d"] > -30.0))
            # 1h down move, 4h high, 1d overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1d"] < 20.0))
            # 1h down move, 4h & 1d overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 50.0))
            # 1h down move, 15m & 1h high
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_1h"] < 100.0))
            # 1h down move, 1h high, 4h downtrend
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] > -40.0))
            # 1h down move, 1h & 4h high
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 100.0))
            # 1h down move, 1h high, 1d downtrend
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1d"] > -40.0))
            # 1h down move, 1h high, 4h overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_4h"] < 10.0))
            # 1h down move, 4h high, 1d overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] < 200.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 20.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 30.0))
            # 1h down move, 1h downtrend, 4h overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["ROC_9_1h"] > -30.0) | (df["ROC_9_4h"] < 100.0))
            # 1h down move, 4h & 1d overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 70.0))
            # 1h down move, 1h & 4h high
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 100.0))
            # 1h down move, 1h high & overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1h"] < 10.0))
            # 1h down move, 1h high, 1d high
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 85.0) | (df["ROC_9_1d"] < 80.0))
            # 1h down move, 1h high, 15m downtrend
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_15m"] > -10.0))
            # 1h down move, 1h  high & overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1h"] < 10.0))
            # 1h down move, 4h & 1d overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 4h & 1d overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 40.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1h"] < 100.0) | (df["ROC_9_1d"] < 200.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 100.0))
            # 1h down move, 1h high, 1d downtrend
            & ((df["RSI_3_1h"] > 50.0) | (df["AROONU_14_1h"] < 60.0) | (df["ROC_9_1d"] > -70.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 4h high, 1d downtrend
            & ((df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0) | (df["ROC_9_1d"] > -60.0))
            # 1h down move, 1h high
            & ((df["RSI_3_1h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
            # 1h down move, 1h overbought
            & ((df["RSI_3_1h"] > 60.0) | (df["ROC_9_1h"] < 30.0))
            # 1h down move, 4h & 1d overbought
            & ((df["RSI_3_1h"] > 60.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 60.0))
            # 4h & 1d down move, 1d still not low enough
            & ((df["RSI_3_4h"] > 3.0) | (df["RSI_3_1d"] > 30.0) | (df["AROONU_14_1d"] < 30.0))
            # 4h down move, 4h high, 1h downtrend
            & ((df["RSI_3_4h"] > 3.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1h"] > -40.0))
            # 4h down move, 1h still high, 4h downtrend
            & ((df["RSI_3_4h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_4h"] > -30.0))
            # 4h & 1d down move, 1d still high
            & ((df["RSI_3_4h"] > 5.0) | (df["RSI_3_1d"] > 20.0) | (df["AROONU_14_1d"] < 50.0))
            # 4h down move, 15m still high, 1d downtrend
            & ((df["RSI_3_4h"] > 5.0) | (df["AROONU_14_15m"] < 50.0) | (df["ROC_9_1d"] > -30.0))
            # 4h & 1d down move, 1d downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 25.0) | (df["ROC_9_1d"] > -50.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 10.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 80.0))
            # 4h down move, 1h & 4h downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["ROC_9_1h"] > -30.0) | (df["ROC_9_4h"] > -30.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0) | (df["ROC_9_1d"] < 35.0))
            # 4h down move, 4h & 1d downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["ROC_9_4h"] > -15.0) | (df["ROC_9_1d"] > -35.0))
            # 4h down move, 4h still high, 1d overbought
            & ((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 40.0) | (df["ROC_9_1d"] < 40.0))
            # 4h down move, 1h still not low enough, 1d downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["ROC_9_1d"] > -20.0))
            # 4h & 1d down move, 1d high
            & ((df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 200.0))
            # 4h down move, 4h & 1d downtrend
            & ((df["RSI_3_4h"] > 20.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 15m high, 1d overbought
            & ((df["RSI_3_4h"] > 25.0) | (df["AROONU_14_15m"] < 70.0) | (df["ROC_9_1d"] < 100.0))
            # 4h down move, 4h high
            & ((df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 80.0))
            # 4h down move, 1d high, 1h downtrend
            & ((df["RSI_3_4h"] > 25.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1h"] > -40.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] > -40.0))
            # 4h down move, 4h still high, 1d overbought
            & ((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] < 200.0))
            # 4h down move, 4h still not low enough, 1d overbought
            & ((df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["ROC_9_1d"] < 60.0))
            # 4h down move, 1d high, 1d downtrend
            & ((df["RSI_3_4h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 60.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 1h high, 1d overbought
            & ((df["RSI_3_4h"] > 45.0) | (df["AROONU_14_1h"] < 85.0) | (df["ROC_9_1d"] < 50.0))
            # 4h down move, 1d high, 1d downtrend
            & ((df["RSI_3_4h"] > 45.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] > -15.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 25.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 50.0) | (df["RSI_14_4h"] < 40.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 4h high & overbought
            & ((df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 10.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 4h & 1d overbought
            & ((df["RSI_3_4h"] > 50.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 40.0))
            # 1d down move, 4h still high, 1d downtrend
            & ((df["RSI_3_1d"] > 3.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["ROC_9_1d"] > -25.0))
            # 1d down move, 1h & 4h high
            & ((df["RSI_3_1d"] > 10.0) | (df["AROONU_14_1h"] < 50.0) | (df["AROONU_14_4h"] < 90.0))
            # 1d down move, 1d high, 1d downtrend
            & ((df["RSI_3_1d"] > 10.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1d"] > -40.0))
            # 1d down move, 4h high, 1d downtrend
            & ((df["RSI_3_1d"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_1d"] > -80.0))
            # 1d down move, 1h & 4h high
            & ((df["RSI_3_1d"] > 15.0) | (df["AROONU_14_1h"] < 90.0) | (df["AROONU_14_4h"] < 100.0))
            # 1d down move, 1h high, 1d downtrend
            & ((df["RSI_3_1d"] > 20.0) | (df["AROONU_14_1h"] < 100.0) | (df["ROC_9_1d"] > -30.0))
            # 1d down move, 1h still high, 4h downtrend
            & ((df["RSI_3_1d"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_4h"] > -30.0))
            # 1d down move, 1h high & overbought
            & ((df["RSI_3_1d"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1h"] < 10.0))
            # 15m downtrend, 4h & 1d high
            & ((df["CMF_20_15m"] > -0.30) | (df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0))
            # 15m & 1h high, 1h overbought
            & ((df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_1h"] < 100.0) | (df["ROC_9_1h"] < 50.0))
            # 15m & 1d high, 1d overbought
            & ((df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1d"] < 30.0))
            # 1h & 4h high, 1h downtrend
            & ((df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 100.0) | (df["CMF_20_1h"] > -0.30))
            # 1h high, 4h high, 1h overbought
            & ((df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1h"] < 20.0))
            # 1h & 1d high, 1h overbought
            & ((df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1h"] < 20.0))
            # 1h high, 1d high & overbought
            & ((df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 200.0))
            # 1h high, 1h & 1d overbought
            & ((df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1h"] < 20.0) | (df["ROC_9_1d"] < 200.0))
            # 1h high, 4h downtrend, 1d overbought
            & ((df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] > -40.0) | (df["ROC_9_1d"] < 100.0))
            # 1h high, 1h & 1d overbought
            & ((df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1h"] < 20.0) | (df["ROC_9_1d"] < 20.0))
            # 1h high, 1h overbought, 1d downtrend
            & ((df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1h"] < 30.0) | (df["ROC_9_1d"] > -40.0))
            # 1h high, 4h & 1d overbought
            & ((df["AROONU_14_1h"] < 80.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 40.0))
            # 1h high, 4h & 1d downtrend
            & ((df["AROONU_14_1h"] < 85.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -50.0))
            # 1h & 4h high, 1h overbought
            & ((df["AROONU_14_1h"] < 100.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1h"] < 10.0))
            # 4h high, 4h & 1d overbought
            & ((df["AROONU_14_4h"] < 60.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 60.0))
            # 4h & 1d high, 4h overbought
            & ((df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 30.0))
            # 4h high, 4h & 1d overbought
            & ((df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 20.0))
            # 4h high, 15m downtrend, 4h overbought
            & ((df["AROONU_14_4h"] < 100.0) | (df["ROC_9_15m"] > -30.0) | (df["ROC_9_4h"] < 30.0))
            # 4h high, 1h & 4h overbought
            & ((df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1h"] < 30.0) | (df["ROC_9_4h"] < 70.0))
            # 4h & 1d high, 1h overbought
            & ((df["AROONU_14_4h"] < 100.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1h"] < 50.0))
            # 1d still high, 4h & 1d downtrend
            & ((df["AROONU_14_1d"] < 50.0) | (df["ROC_9_4h"] > -50.0) | (df["ROC_9_1d"] > -50.0))
            # 1d high, 1h & 4h downtrend
            & ((df["AROONU_14_1d"] < 85.0) | (df["ROC_9_1h"] > -30.0) | (df["ROC_9_4h"] > -50.0))
            # 1d high, 4h downtrend, 1d overbought
            & ((df["AROONU_14_1d"] < 85.0) | (df["ROC_9_4h"] > -25.0) | (df["ROC_9_1d"] < 50.0))
            # 1d high, 4h & 1d overbought
            & ((df["AROONU_14_1d"] < 90.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 50.0))
            # 1h high, 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_1d"] < 40.0))
            # 1h high, 4h overbought
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_4h"] < 80.0))
            # 1h high, 1h overbought, 4h downtrend
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_4h"] > -15.0))
            # 4h high, 1h & 4h overbought
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_1h"] < 20.0) | (df["ROC_9_4h"] < 50.0))
            # 1d high, 4h & 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_4h"] < 100.0) | (df["ROC_9_1d"] < 100.0))
            # 1d P&D, 4h overbought
            & ((df["change_pct_1d"] > -10.0) | (df["change_pct_1d"].shift(288) < 30.0) | (df["ROC_9_4h"] < 10.0))
            # big drop in the last 20 days, 1d high, 1d downtrend
            & (
              (df["close"] > (df["high_max_20_1d"] * 0.20))
              | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0)
              | (df["ROC_9_1d"] > -15.0)
            )
          )

          # Logic
          long_entry_logic.append(
            (df["RSI_3"] > 5.0)
            & (df["RSI_14"] < 36.0)
            & (df["AROONU_14"] < 25.0)
            & (df["AROOND_14"] > 75.0)
            & (df["EMA_9"] < (df["EMA_26"] * 0.960))
          )

        # Condition #42 - Quick mode (Long).
        if long_entry_condition_index == 42:
          # Protections
          long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288)
          # long_entry_logic.append(df["protections_long_global"] == True)

          long_entry_logic.append(
            # 5m & 1h down move, 1d still high
            ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 40.0))
            # 5m & 1h down move, 1d high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 15m & 1h down move, 1h downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 3.0) | (df["ROC_9_1h"] > -50.0))
            # 15m & 1h down move, 1d still not low enough
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 30.0))
            # 15m & 1h down move, 4h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_4h"] < 50.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1d"] < 60.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 60.0))
            # 15m & 4h down move, 4h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0))
            # 15m & 4h down move, 1d still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1d"] < 40.0))
            # 15m & 1h down move, 1d downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 15.0) | (df["ROC_9_1d"] > -30.0))
            # 15m down move, 4h still high, 1d downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["ROC_9_1d"] > -40.0))
            # 15m & 1h & 4h down move
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 20.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 5.0) | (df["AROONU_14_1h"] < 40.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 5.0) | (df["AROONU_14_1d"] < 70.0))
            # 15m & 1h & 4h down move
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0))
            # 15m & 4h down move, 1h downtrend
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1h"] > -20.0))
            # 15m & 4h down move, 1d downtrend
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1d"] > -30.0))
            # 15m & 4h down move, 4h still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 40.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_4h"] < 70.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1d"] < 100.0))
            # 15m & 1h down move, 4h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0))
            # 15m & 1h down move, 1d downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["ROC_9_1d"] > -30.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m & 1h down move, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["ROC_9_1d"] < 10.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
            # 15m & 1d down move, 4h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1d"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0))
            # 15m & 4h down move, 4h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0))
            # 15m & 4h down move, 4h still not low enough
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 70.0))
            # 15m & 1h down move, 15m still high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0))
            # 15m & 4h down move, 15m still high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 60.0))
            # 15m & 1d down move, 1d high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1d"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0))
            # 15m down move, 15m high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 70.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 70.0))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m down move, 15m still not low enough, 1d downtrend
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 25.0) | (df["ROC_9_1d"] > -50.0))
            # 15m down move, 15m still high, 4h high
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_4h"] < 80.0))
            # 15m down move, 4h high, 1d downtrend
            & ((df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1d"] > -40.0))
            # 15m down move, 4h high, 1d downtrend
            & ((df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_1d"] > -10.0))
            # 15m down move, 15m still high, 4h high
            & ((df["RSI_3_15m"] > 35.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_4h"] < 80.0))
            # 1h & 4h down move
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 3.0))
            # 1h & 4h down move, 1d still high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1d"] < 50.0))
            # 1h & 4h down move, 1d still high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0))
            # 1h & 4h down move, 1h still high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1h"] < 40.0))
            # 1h & 4h down move, 4h still not low enough
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 70.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_1d"] < 70.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0))
            # 1h down move, 1d high, 1d downtrend
            & ((df["RSI_3_1h"] > 3.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1h"] > -50.0))
            # 1h & 4h down move, 15m still not low enough
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 5.0) | (df["ROC_9_1d"] > -30.0))
            # 1h & 4h down move, 1d still high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1d"] < 40.0))
            # 1h & 4h down move, 1h high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_1h"] < 70.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 35.0) | (df["ROC_9_1d"] < 40.0))
            # 1h & 1d down move, 1h still high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_1d"] > 5.0) | (df["AROONU_14_1h"] < 50.0))
            # 1h down move, 4h high
            & ((df["RSI_3_1h"] > 5.0) | (df["AROONU_14_4h"] < 90.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["AROONU_14_1d"] < 75.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0))
            # 1h & 4h down move, 4h downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_4h"] > -20.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1d"] > -20.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1d"] < 10.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1d"] < 80.0))
            # 1h & 4h down move, 4h still not low enough
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_1d"] > -40.0))
            # 1h & 4h down move, 1h still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1h"] < 40.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 70.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 90.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 25.0) | (df["ROC_9_1d"] < 40.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 35.0) | (df["AROONU_14_1d"] < 100.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 1h & 1d down move, 1d still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0))
            # 1h & 1d down move, 1d still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 25.0) | (df["RSI_14_1d"] < 50.0))
            # 1h & 1d down move, 1h high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 25.0) | (df["AROONU_14_1h"] < 70.0))
            # 1h & 1d down move, 1d high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 45.0) | (df["AROONU_14_1d"] < 70.0))
            # 1h down move, 1h downtrend, 1h high
            & ((df["RSI_3_1h"] > 10.0) | (df["CMF_20_1h"] > -0.30) | (df["AROONU_14_1h"] < 70.0))
            # 1h down move, 1h high, 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 40.0) | (df["ROC_9_1d"] > -20.0))
            # 1h down move, 1h & 4h high
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 60.0) | (df["AROONU_14_4h"] < 70.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 60.0) | (df["ROC_9_1d"] < 20.0))
            # 1h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_4h"] < 40.0) | (df["ROC_9_1d"] > -40.0))
            # 1h down move, 4h high, 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] > -20.0))
            # 1h down move, 1d still high, 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1d"] < 40.0) | (df["ROC_9_1d"] > -20.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1d"] < 30.0))
            # 1h down move, 15m high
            & ((df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 80.0))
            # 1h down move, 4h & 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -40.0))
            # 1h & 4h down move, 1d still high, 1d downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_14_1d"] < 40.0) | (df["ROC_9_1d"] > -15.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 50.0))
            # 1h & 4h down move, 15m still high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0))
            # 1h & 4h down move, 4h still not low enough
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 25.0) | (df["ROC_9_1d"] > -40.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 60.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0))
            # 1h & 4h down move, 4h overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 35.0) | (df["ROC_9_4h"] < 10.0))
            # 1h & 1d down move, 4h high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0))
            # 1h & 1d down move, 1d overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_1d"] > 35.0) | (df["ROC_9_1d"] < 10.0))
            # 1h down move, 1h downtrend, 1h high
            & ((df["RSI_3_1h"] > 15.0) | (df["CMF_20_1h"] > -0.30) | (df["AROONU_14_1h"] < 70.0))
            # 1h down move, 1h still high, 4h downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 40.0) | (df["ROC_9_4h"] > -30.0))
            # 1h down move, 1h still high, 1d downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 50.0) | (df["ROC_9_1d"] > -40.0))
            # 1h down move, 1d still high, 4h downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1d"] < 50.0) | (df["ROC_9_4h"] > -20.0))
            # 1h down move, 1d high, 1d downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] > -20.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 30.0))
            # 1h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_1d"] > -30.0))
            # 1h down move, 4h & 1d downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -20.0))
            # 1h & 4h down move, 1h high
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1h"] < 70.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 100.0))
            # 1h & 4h down move, 15m high
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 60.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["ROC_9_1d"] < 30.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 1h & 1d down move, 1d high
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 60.0))
            # 1h & 1d down move, 1d high
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_1d"] > 30.0) | (df["AROONU_14_1d"] < 100.0))
            # 1h & 1d down move, 1d overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_1d"] > 45.0) | (df["ROC_9_1d"] < 20.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 60.0) | (df["ROC_9_1d"] < 30.0))
            # 1h down move, 1h high, 4h downtrend
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] > -20.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 30.0))
            # 1h down move, 1d high, 4h downtrend
            & ((df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["ROC_9_4h"] > -20.0))
            # 1h & 4h down move, 15m high
            & ((df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_4h"] < 70.0))
            # 1h & 1d down move, 1h high
            & ((df["RSI_3_1h"] > 25.0) | (df["RSI_3_1d"] > 25.0) | (df["AROONU_14_1h"] < 80.0))
            # 1h & 1d down move, 1d high
            & ((df["RSI_3_1h"] > 25.0) | (df["RSI_3_1d"] > 45.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0))
            # 1h down move, 4h downtrend, 4h high
            & ((df["RSI_3_1h"] > 25.0) | (df["CMF_20_4h"] > -0.50) | (df["AROONU_14_4h"] < 70.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 60.0) | (df["ROC_9_1d"] < 50.0))
            # 1h down move, 1h high, 1d downtrend
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 60.0) | (df["ROC_9_1d"] > -40.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] < 10.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 200.0))
            # 1h down move, 1d high, 4h overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 10.0))
            # 1h down move, 1h high & overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 20.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 20.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 30.0) | (df["ROC_9_1d"] > -50.0))
            # 1h & 4h down move, 15m high
            & ((df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 35.0) | (df["AROONU_14_15m"] < 80.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_4h"] < 75.0))
            # 1h & 4h down move, 15m high
            & ((df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 80.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 80.0))
            # 1h & 1d down move, 1d high
            & ((df["RSI_3_1h"] > 30.0) | (df["RSI_3_1d"] > 30.0) | (df["AROONU_14_1d"] < 80.0))
            # 1h & 1d down move, 1d overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["RSI_3_1d"] > 40.0) | (df["ROC_9_1d"] < 50.0))
            # 1h down move, 4h high, 4h downtrend
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 70.0) | (df["CMF_20_4h"] > -0.40))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 30.0))
            # 1h down move, 1d high, 4h overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 10.0))
            # 1h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["ROC_9_1d"] > -80.0))
            # 1h down move, 4h & 1d overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 30.0))
            # 1h & 4h down move, 15m high
            & ((df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 45.0) | (df["AROONU_14_15m"] < 90.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 45.0) | (df["AROONU_14_4h"] < 90.0))
            # 1h down move, 15m high, 1d downtrend
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_15m"] < 60.0) | (df["ROC_9_1d"] > -40.0))
            # 1h down move, 1h still high, 1d high
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 50.0) | (df["AROONU_14_1d"] < 90.0))
            # 1h down move, 1h & 4h high
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 100.0))
            # 1h down move, 1h & 1d high
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_1d"] < 100.0))
            # 1h down move, 4h high, 1d downtrend
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_1d"] > -20.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_4h"] < 10.0))
            # 1h down move, 4h & 1d downtrend
            & ((df["RSI_3_1h"] > 35.0) | (df["ROC_9_4h"] > -10.0) | (df["ROC_9_1d"] > -60.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_4h"] < 20.0))
            # 1h down move, 4h high, 1d downtrend
            & ((df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0) | (df["ROC_9_1d"] > -50.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_4h"] < 40.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 45.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 100.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 50.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 40.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 20.0))
            # 1h down move, 4h & 1d overbought
            & ((df["RSI_3_1h"] > 60.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 100.0))
            # 4h & 1d down move
            & ((df["RSI_3_4h"] > 3.0) | (df["RSI_3_1d"] > 15.0))
            # 4h & 1d down move, 1d high
            & ((df["RSI_3_4h"] > 3.0) | (df["RSI_3_1d"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 60.0))
            # 4h down move, 1h downtrend, 4h still high
            & ((df["RSI_3_4h"] > 3.0) | (df["CMF_20_1h"] > -0.30) | (df["AROONU_14_4h"] < 40.0))
            # 4h & 1d down move, 4h downtrend
            & ((df["RSI_3_4h"] > 5.0) | (df["RSI_3_1d"] > 15.0) | (df["ROC_9_4h"] > -10.0))
            # 4h & 1d down move, 1d downtrend
            & ((df["RSI_3_4h"] > 5.0) | (df["RSI_3_1d"] > 15.0) | (df["ROC_9_1d"] > -20.0))
            # 4h & 1d down move, 1d still high
            & ((df["RSI_3_4h"] > 5.0) | (df["RSI_3_1d"] > 20.0) | (df["AROONU_14_1d"] < 40.0))
            # 4h & 1d down move, 1d still high
            & ((df["RSI_3_4h"] > 5.0) | (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0))
            # 4h & 1d down move, 4h still not low enough
            & ((df["RSI_3_4h"] > 5.0) | (df["RSI_3_1d"] > 30.0) | (df["AROONU_14_4h"] < 20.0))
            # 4h & 1d down move, 1d high
            & ((df["RSI_3_4h"] > 5.0) | (df["RSI_3_1d"] > 30.0) | (df["AROONU_14_1d"] < 70.0))
            # 4h down move, 1h & 4h downtrend
            & ((df["RSI_3_4h"] > 5.0) | (df["ROC_9_1h"] > -15.0) | (df["ROC_9_4h"] > -20.0))
            # 4h down move, 4h & 1d downtrend
            & ((df["RSI_3_4h"] > 5.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -20.0))
            # 4h & 1d down move, 15m still not low enough
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 10.0) | (df["AROONU_14_15m"] < 30.0))
            # 4h & 1d down move, 1d downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 10.0) | (df["ROC_9_1d"] > -20.0))
            # 15m & 1d down move, 15m still high
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0))
            # 4h & 1d down move, 4h downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 30.0) | (df["ROC_9_4h"] > -20.0))
            # 4h & 1d down move, 1d overbought
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 45.0) | (df["ROC_9_1d"] < 10.0))
            # 4h & 1d down move, 4h still not low enough
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0))
            # 4h down move, 15m high, 1h downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 60.0) | (df["ROC_9_1h"] > -10.0))
            # 4h down move, 15m high
            & ((df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 80.0))
            # 4h down move, 4h still not low e nough, 1d downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 4h & 1d downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -40.0))
            # 4h & 1d down move, 1d downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 15.0) | (df["ROC_9_1d"] > -30.0))
            # 4h & 1d down move, 1d still high
            & ((df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 25.0) | (df["AROONU_14_1d"] < 40.0))
            # 15m & 1d down move, 15m high
            & ((df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0))
            # 4h & 1d down move, 4h still high
            & ((df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
            # 4h & 1d down move, 1d still high
            & ((df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 35.0) | (df["RSI_14_1d"] < 50.0))
            # 4h down move, 1h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1h"] < 40.0) | (df["ROC_9_1d"] > -50.0))
            # 4h down move, 1h high, 1d downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 4h still high, 4h downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 40.0) | (df["ROC_9_4h"] > -20.0))
            # 4h down move, 4h still high, 1d high
            & ((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 50.0) | (df["AROONU_14_1d"] < 70.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 1h & 4h downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["ROC_9_1h"] > -40.0) | (df["ROC_9_4h"] > -40.0))
            # 4h & 1d down move, 1d high
            & ((df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0))
            # 4h & 1d down move, 15m high
            & ((df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 80.0))
            # 4h & 1d down move, 1d high
            & ((df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
            # 4h down move, 15m high, 4h downtrend
            & ((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_15m"] < 70.0) | (df["ROC_9_4h"] > -30.0))
            # 4h down move, 4h high
            & ((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 100.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1d"] < 70.0))
            # 4h down move, 1d high, 4h downtrend
            & ((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_4h"] > -50.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1d"] < 40.0))
            # 4h down move, 15m high
            & ((df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0))
            # 4h down move, 4h still not low enough, 1d downtrend
            & ((df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 4h & 1d downtrend
            & ((df["RSI_3_4h"] > 20.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 1d high, 4h downtrend
            & ((df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["ROC_9_4h"] > -20.0))
            # 4h & 1d down move, 1h high
            & ((df["RSI_3_4h"] > 25.0) | (df["RSI_3_1d"] > 25.0) | (df["AROONU_14_1h"] < 90.0))
            # 4h & 1d down move, 1d high
            & ((df["RSI_3_4h"] > 25.0) | (df["RSI_3_1d"] > 25.0) | (df["AROONU_14_1d"] < 90.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 40.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 4h high, 1h downtrend
            & ((df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 60.0) | (df["ROC_9_1h"] > -10.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 25.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 30.0))
            # 4h down move, 1d high, 4h downtrend
            & ((df["RSI_3_4h"] > 25.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] > -20.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 4h high, 1d downtrend
            & ((df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 1d overbought
            & ((df["RSI_3_4h"] > 25.0) | (df["ROC_9_1d"] < 100.0))
            # 4h down move, 1h high, 4h downtrend
            & ((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_1h"] < 60.0) | (df["ROC_9_4h"] > -10.0))
            # 4h down move, 4h still high, 1d high
            & ((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 50.0) | (df["AROONU_14_1d"] < 100.0))
            # 4h down move, 4h high, 1h downtrend
            & ((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1h"] > -40.0))
            # 4h down move, 4h high
            & ((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 100.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1d"] < 60.0))
            # 4h down move, 15m still high, 4h high
            & ((df["RSI_3_4h"] > 35.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_4h"] < 80.0))
            # 4h down move, 1h high
            & ((df["RSI_3_4h"] > 35.0) | (df["AROONU_14_1h"] < 70.0))
            # 4h down move, 4h high, 1d downtrend
            & ((df["RSI_3_4h"] > 35.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 4h high, 1d overbought
            & ((df["RSI_3_4h"] > 35.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1d"] < 30.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 35.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 20.0))
            # 4h down move, 4h still high, 1d overbought
            & ((df["RSI_3_4h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_1d"] < 200.0))
            # 4h down move, 4h & 1d high
            & ((df["RSI_3_4h"] > 40.0) | (df["AROONU_14_4h"] < 70.0) | (df["AROONU_14_1d"] < 100.0))
            # 4h down move, 4h high, 1d overbought
            & ((df["RSI_3_4h"] > 40.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] < 20.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_1d"] > -40.0))
            # 4h down move, 4h overbought, 1d downtrend
            & ((df["RSI_3_4h"] > 40.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] > -40.0))
            # 4h down move, 4h & 1d overbought
            & ((df["RSI_3_4h"] > 40.0) | (df["ROC_9_4h"] < 60.0) | (df["ROC_9_1d"] < 80.0))
            # 4h down move, 4h & 1d high
            & ((df["RSI_3_4h"] > 45.0) | (df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0))
            # 4h down move, 4h overbought
            & ((df["RSI_3_4h"] > 55.0) | (df["ROC_9_4h"] < 30.0))
            # 4h down move, 4h high & overbought
            & ((df["RSI_3_4h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 10.0))
            # 1d down move, 1d high, 1d downtrend
            & ((df["RSI_3_1d"] > 15.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1d"] > -20.0))
            # 1d down move, 1d still high
            & ((df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 40.0))
            # 1d down move, 4h & 1d downtrend
            & ((df["RSI_3_1d"] > 15.0) | (df["ROC_9_4h"] > -10.0) | (df["ROC_9_1d"] > -40.0))
            # 1d down move, 15m high
            & ((df["RSI_3_1d"] > 20.0) | (df["AROONU_14_15m"] < 80.0))
            # 1d down move, 4h high, 4h downtrend
            & ((df["RSI_3_1d"] > 20.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_4h"] > -40.0))
            # 1d down move, 1d high, 1d downtrend
            & ((df["RSI_3_1d"] > 25.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] > -30.0))
            # 1d down move, 1d still high, 1d downtrend
            & ((df["RSI_3_1d"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] > -20.0))
            # 1d down move, 4h & 1d high
            & ((df["RSI_3_1d"] > 30.0) | (df["AROONU_14_4h"] < 90.0) | (df["AROONU_14_1d"] < 90.0))
            # 1h & 4h downtrend, 4h high
            & ((df["CMF_20_1h"] > -0.40) | (df["CMF_20_4h"] > -0.40) | (df["AROONU_14_4h"] < 80.0))
            # 4h & 1d downtrend, 1d high
            & ((df["CMF_20_4h"] > -0.50) | (df["CMF_20_1d"] > -0.50) | (df["AROONU_14_1d"] < 85.0))
            # 15m & 1d high, 4h overbought
            & ((df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 20.0))
            # 15m & 4h high, 1d downtrend
            & ((df["AROONU_14_15m"] < 85.0) | (df["AROONU_14_4h"] < 85.0) | (df["ROC_9_1d"] > -20.0))
            # 1h still high, 1h & 4h downtrend
            & ((df["AROONU_14_1h"] < 50.0) | (df["ROC_9_1h"] > -20.0) | (df["ROC_9_4h"] > -30.0))
            # 1h & 4h high, 4h overbought
            & ((df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 10.0))
            # 4h high, 4h & 1d downtrend
            & ((df["AROONU_14_4h"] < 60.0) | (df["ROC_9_4h"] > -30.0) | (df["ROC_9_1d"] > -30.0))
            # 4h & 1d high, 4h overbought
            & ((df["AROONU_14_4h"] < 70.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 30.0))
            # 4h & 1d high, 1d overbought
            & ((df["AROONU_14_4h"] < 70.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 80.0))
            # 4h high, 4h & 1d overbought
            & ((df["AROONU_14_4h"] < 90.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 10.0))
            # 1d high, 4h & 1d overbought
            & ((df["AROONU_14_1d"] < 70.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 200.0))
            # 1d high, 4h downtrend, 1d overbought
            & ((df["AROONU_14_1d"] < 85.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] < 200.0))
            # 1d high, 1h & 4h downtrend
            & ((df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1h"] > -30.0) | (df["ROC_9_4h"] > -30.0))
            # 1d high, 1h & 1d overbought
            & ((df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_1d"] < 30.0))
            # 1d high, 4h & 1d overbought
            & ((df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 60.0))
            # 15m still high, 1h & 4h downtrend
            & ((df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["ROC_9_1h"] > -20.0) | (df["ROC_9_4h"] > -20.0))
            # 4h high, 1h & 4h overbought
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_1h"] < 20.0) | (df["ROC_9_4h"] < 30.0))
            # 4h high, 4h & 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 80.0))
            # 1d still high, 4h & 1d downtrend
            & ((df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["ROC_9_4h"] > -30.0) | (df["ROC_9_1d"] > -30.0))
            # big drop in the last 20 days, 1d high, 1d downtrend
            & (
              (df["close"] > (df["high_max_20_1d"] * 0.20))
              | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0)
              | (df["ROC_9_1d"] > -15.0)
            )
          )

          # Logic
          long_entry_logic.append(
            (df["WILLR_14"] < -50.0)
            & (df["STOCHRSIk_14_14_3_3"] < 20.0)
            & (df["WILLR_84_1h"] < -70.0)
            & (df["STOCHRSIk_14_14_3_3_1h"] < 20.0)
            & (df["BBB_20_2.0_1h"] > 16.0)
            & (df["close_max_48"] >= (df["close"] * 1.10))
          )

        # Condition #43 - Quick mode (Long).
        if long_entry_condition_index == 43:
          # Protections
          long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288)
          # long_entry_logic.append(df["protections_long_global"] == True)

          long_entry_logic.append(
            # 5m & 15m down move, 15m still high
            ((df["RSI_3"] > 3.0) | (df["RSI_3_15m"] > 5.0) | (df["AROONU_14_15m"] < 40.0))
            # 5m & 1h down move, 1h still not low enough
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 30.0))
            # 5m & 1h down move, 1h still not low enough
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0))
            # 5m & 1h down move, 4h high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0))
            # 5m & 1d down move, 1d still not low enough
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1d"] > 15.0) | (df["AROONU_14_1d"] < 30.0))
            # 5m down move, 1h & 4h high
            & ((df["RSI_3"] > 3.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 100.0))
            # 5m down move, 4h high & overbought
            & ((df["RSI_3"] > 3.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 20.0))
            # 5m down move, 1d high & overbought
            & ((df["RSI_3"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 20.0))
            # 5m & 1h down move, 1d overbought
            & ((df["RSI_3"] > 5.0) | (df["RSI_3_1h"] > 25.0) | (df["ROC_9_1d"] < 100.0))
            # 5m & 1d down move, 1h high
            & ((df["RSI_3"] > 5.0) | (df["RSI_3_1d"] > 20.0) | (df["AROONU_14_1h"] < 90.0))
            # 5m & 1h down move, 1h high
            & ((df["RSI_3"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 85.0))
            # 15m & 1h down move
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 3.0))
            # 15m & 1h & 4h down move
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0))
            # 15m & 1h & 1d down move
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 25.0))
            # 15m & 1h down move, 1d still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_14_1d"] < 50.0))
            # 15m & 1h down move, 15m still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_15m"] < 50.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1d"] < 70.0))
            # 15m & 1d down move, 1d overbought
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["ROC_9_1d"] < 10.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 40.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1d"] < 90.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 15.0) | (df["AROONU_14_4h"] < 70.0))
            # 15m & 1h down move, 1d downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 15.0) | (df["ROC_9_1d"] > -30.0))
            # 15m & 1h down move, 15m high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_15m"] < 70.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 100.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
            # 15m & 1h down move, 1d overbought
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 30.0) | (df["ROC_9_1d"] < 200.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 45.0) | (df["AROONU_14_4h"] < 90.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1d"] < 50.0))
            # 15m & 4h down move, 15m high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_15m"] < 70.0))
            # 15m & 4h down move, 1d overbought
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 35.0) | (df["ROC_9_1d"] < 60.0))
            # 15m & 1d down move, 1d still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1d"] > 10.0) | (df["AROONU_14_1d"] < 40.0))
            # 15m & 1d down move, 4h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
            # 15m & 1d down move, 1d high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1d"] > 45.0) | (df["AROONU_14_1d"] < 70.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 3.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_4h"] < 100.0))
            # 15m down move, 1d high & overbought
            & ((df["RSI_3_15m"] > 3.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 40.0))
            # 15m down move, 1h high, 1d downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1d"] > -20.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 3.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 40.0))
            # 15m down move, 4h high, 1d overbought
            & ((df["RSI_3_15m"] > 3.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1d"] < 10.0))
            # 15m down move, 1h downtrend, 4h overbought
            & ((df["RSI_3_15m"] > 3.0) | (df["ROC_9_1h"] > -30.0) | (df["ROC_9_4h"] < 100.0))
            # 15m down move, 4h & 1d downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["ROC_9_4h"] > -70.0) | (df["ROC_9_1d"] > -70.0))
            # 15m & 1h down move, 4h still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 5.0) | (df["RSI_14_4h"] < 40.0))
            # 15m & 1h down move, 1h still not low enough
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0))
            # 15m & 1h down move, 1d still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0))
            # 15m & 1h down move, 1d overbought
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 25.0) | (df["ROC_9_1d"] < 70.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 70.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1h"] < 80.0))
            # 15m & 4h down move, 1h still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 15m & 4h down move, 1h downtrend
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1h"] > -20.0))
            # 15m & 4h down move, 15m still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0))
            # 15m & 4h down move, 4h still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 50.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 70.0))
            # 15m & 1d down move, 1h still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 15m down move, 15m & 1h still high
            & ((df["RSI_3_15m"] > 5.0) | (df["AROONU_14_15m"] < 40.0) | (df["AROONU_14_1h"] < 50.0))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 5.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m down move, 1h high, 4h overbought
            & ((df["RSI_3_15m"] > 5.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_4h"] < 10.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 5.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 50.0))
            # 15m down move, 1d still high, 1d downtrend
            & ((df["RSI_3_15m"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] > -20.0))
            # 15m down move, 1d downtrend
            & ((df["RSI_3_15m"] > 5.0) | (df["ROC_9_1d"] > -60.0))
            # 15m & 1h down move, 15m high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_15m"] < 70.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
            # 15m & 1h down move, 4h downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["ROC_9_4h"] > -20.0))
            # 15m & 1h down move, 1d downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["ROC_9_1d"] > -40.0))
            # 15m & 1h down move, 15m still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_15m"] < 50.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 70.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1d"] < 80.0))
            # 15m & 1h down move, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["ROC_9_1d"] < 80.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 90.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 15m & 1h down move, 4h overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 25.0) | (df["ROC_9_4h"] < 20.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1d"] < 90.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0))
            # 15m & 4h down move, 15m still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0))
            # 15m & 4h down move, 4h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0))
            # 15m & 4h down move, 1h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0))
            # 15m & 4h down move, 1d downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_1d"] > -20.0))
            # 15m & 4h down move, 4h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_4h"] < 50.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 70.0))
            # 15m & 1d down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 15m down move, 15m still high, 1d downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_15m"] < 40.0) | (df["ROC_9_1d"] > -30.0))
            # 15m down move, 15m still high, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_15m"] < 50.0) | (df["ROC_9_1d"] < 30.0))
            # 15m down move, 15m high, 1h high
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_15m"] < 60.0) | (df["AROONU_14_1h"] < 80.0))
            # 15m down move, 15m high, 4h downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_15m"] < 60.0) | (df["ROC_9_4h"] > -10.0))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1h"] < 90.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m down move, 1h high, 1d downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_1d"] > -40.0))
            # 15m down move, 4h & 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_4h"] < 90.0) | (df["AROONU_14_1d"] < 100.0))
            # 15m down move, 1d high & overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 100.0))
            # 15m down move, 4h still high, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_1d"] < 30.0))
            # 15m down move, 4h & 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 200.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 90.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 100.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_4h"] < 70.0))
            # 15m down move. 15m still high, 1h high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
            # 15m down move, 15m & 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m down move, 1h high, 1d overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1d"] < 40.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_4h"] < 60.0) | (df["ROC_9_4h"] < 30.0))
            # 15m down move, 4h high, 1d overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] < 200.0))
            # 15m down move, 4h high, 1d overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1d"] < 100.0))
            # 15m down move, 1h high, 4h downtrend
            & ((df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_4h"] > -30.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_4h"] < 25.0))
            # 15m down move, 4h high, 1d downtrend
            & ((df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_1d"] > -40.0))
            # 15m down move, 4h high, 1d overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_1d"] < 30.0))
            # 15m down move, 1d high & overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 100.0))
            # 15m down move, 4h & 1d downtrend
            & ((df["RSI_3_15m"] > 15.0) | (df["ROC_9_4h"] > -10.0) | (df["ROC_9_1d"] > -40.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 15m & 1h down move, 1d overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 25.0) | (df["ROC_9_1d"] < 100.0))
            # 15m & 1d down move, 4h high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1d"] > 20.0) | (df["AROONU_14_4h"] < 90.0))
            # 15m down move, 15m & 1h high
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_1h"] < 100.0))
            # 15m down move, 1h high, 4h overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_4h"] < 10.0))
            # 15m down move, 1h high, 1d overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1d"] < 10.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 10.0))
            # 15m & 1h down move, 15m high
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0))
            # 15m & 1h down move, 1h downtrend
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 25.0) | (df["ROC_9_1h"] > -30.0))
            # 15m down move, 1d high & overbought
            & ((df["RSI_3_15m"] > 30.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 50.0))
            # 1h & 4h down move, 1d still high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0))
            # 1h & 4h down move, 1d still high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1d"] < 40.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 60.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_1d"] < 70.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 25.0) | (df["ROC_9_1d"] < 20.0))
            # 1h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_1h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_1d"] > -20.0))
            # 1h & 4h down move, 1h still high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["AROONU_14_1h"] < 50.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 100.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 35.0) | (df["RSI_14_4h"] < 40.0))
            # 1h down move, 4h high, 1d downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] > -30.0))
            # 1h down move, 1d high, 1h downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1h"] > -40.0))
            # 1h down move, 4h & 1d downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -20.0))
            # 1h & 4h & 1d down move
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 15.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1d"] > -20.0))
            # 1h & 4h down move, 1h high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1h"] < 60.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1d"] < 90.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_1d"] > -30.0))
            # 1h & 1d down move, 4h high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 1h & 1d down move, 1d still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0))
            # 1h down move, 15m downtrend, 1d high
            & ((df["RSI_3_1h"] > 10.0) | (df["CMF_20_15m"] > -0.40) | (df["AROONU_14_1d"] < 70.0))
            # 1h down move, 1h high, 4h overbought
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_4h"] < 10.0))
            # 1h down move, 1d high, 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1d"] > -20.0))
            # 1h down move, 4h high, 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0) | (df["ROC_9_1d"] > -30.0))
            # 1h & 4h down move, 1h still not low enough
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1h"] < 20.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 60.0))
            # 1h & 4h down move, 1h downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_1h"] > -15.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_1d"] < 10.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_14_4h"] < 40.0))
            # 1h & 4h down move, 1h high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_1h"] < 70.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_1d"] < 70.0))
            # 1h & 1d down move, 1d still high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_1d"] > 25.0) | (df["AROONU_14_1d"] < 50.0))
            # 1h down move, 1h still high, 1d downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 30.0) | (df["ROC_9_1d"] > -30.0))
            # 1h down move, 1h still high, 4h downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 40.0) | (df["ROC_9_4h"] > -30.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 10.0))
            # 1h & 4h down move, 1h still high
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 75.0))
            # 1h down move, 1h high, 4h overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] < 10.0))
            # 1h down move, 1h high & overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 4h downtrend, 1d overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["ROC_9_4h"] > -40.0) | (df["ROC_9_1d"] < 50.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_1d"] < 80.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 30.0) | (df["ROC_9_1d"] < 20.0))
            # 1h & 1d down move, 1h high
            & ((df["RSI_3_1h"] > 25.0) | (df["RSI_3_1d"] > 25.0) | (df["AROONU_14_1h"] < 80.0))
            # 1h down move, 1h high, 1d downtrend
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 60.0) | (df["ROC_9_1d"] > -40.0))
            # 1h down move, 1h & 1d high
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_1d"] < 90.0))
            # 1h down move, 1h high & overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1h"] < 10.0))
            # 1h down move, 1h high, 4h overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_4h"] < 50.0))
            # 1h down move, 4h & 1d high
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 90.0) | (df["AROONU_14_1d"] < 100.0))
            # 1h down move, 1d high, 4h downtrend
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_4h"] > -70.0))
            # 1h down move, 4h high, 1d downtrend
            & ((df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1d"] > -30.0))
            # 1h down move, 4h & 1d downtrend
            & ((df["RSI_3_1h"] > 25.0) | (df["ROC_9_4h"] > -30.0) | (df["ROC_9_1d"] > -60.0))
            # 1h & 4h down move, 1h high
            & ((df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_1h"] < 70.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1d"] < 10.0))
            # 1h down move, 4h high, 1d overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] < 40.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 30.0))
            # 1h down move, 1d high, 4h downtrend
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_4h"] > -40.0))
            # 1h down move, 1d high, 4h overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 30.0))
            # 1h down move, 4h & 1d overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 200.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 35.0) | (df["AROONU_14_1d"] < 90.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_1d"] < 80.0))
            # 1h down move, 1h & 4h high
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 100.0) | (df["AROONU_14_4h"] < 100.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 200.0))
            # 1h down move, 1h high, 4h downtrend
            & ((df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_4h"] > -20.0))
            # 1h & 1d down move, 1h high
            & ((df["RSI_3_1h"] > 40.0) | (df["RSI_3_1d"] > 40.0) | (df["AROONU_14_1h"] < 90.0))
            # 1h down move, 1h high, 1d downtrend
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1d"] > -30.0))
            # 1h down move, 4h high, 1d overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1d"] < 40.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_4h"] < 20.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 20.0))
            # 1h down move, 1d high, 4h overbought
            & ((df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 40.0))
            # 1h down move, 1h high, 1d downtrend
            & ((df["RSI_3_1h"] > 50.0) | (df["AROONU_14_1h"] < 60.0) | (df["ROC_9_1d"] > -70.0))
            # 1h down move, 1h & 1d high
            & ((df["RSI_3_1h"] > 50.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_1d"] < 100.0))
            # 4h & 1d down move, 15m still high
            & ((df["RSI_3_4h"] > 3.0) | (df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0))
            # 4h & 1d down move, 1h still not low enough
            & ((df["RSI_3_4h"] > 3.0) | (df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0))
            # 4h down move, 4h still high
            & ((df["RSI_3_4h"] > 3.0) | (df["AROONU_14_4h"] < 50.0))
            # 4h down move, 1h still high, 4h downtrend
            & ((df["RSI_3_4h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_4h"] > -30.0))
            # 4h & 1d down move, 1d still high
            & ((df["RSI_3_4h"] > 5.0) | (df["RSI_3_1d"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 40.0))
            # 4h down move, 1h & 4h downtrend
            & ((df["RSI_3_4h"] > 5.0) | (df["ROC_9_1h"] > -10.0) | (df["ROC_9_4h"] > -10.0))
            # 4h & 1d down move, 4h downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 10.0) | (df["ROC_9_4h"] > -20.0))
            # 4h & 1d down move, 1d downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 10.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 4h still high
            & ((df["RSI_3_4h"] > 10.0) | (df["AROONU_14_4h"] < 50.0))
            # 4h down move, 1d still high, 1d downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["AROONU_14_1d"] < 50.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 4h still not low enough, 1d downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 4h & 1d  downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 1h still high
            & ((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1h"] < 50.0))
            # 4h down move, 1h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] > -40.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1d"] < 50.0))
            # 4h & 1d down move, 1h high
            & ((df["RSI_3_4h"] > 25.0) | (df["RSI_3_1d"] > 25.0) | (df["AROONU_14_1h"] < 90.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] > -40.0))
            # 4h down move, 1d high, 1d downtrend
            & ((df["RSI_3_4h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 60.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 1d high, 1d downtrend
            & ((df["RSI_3_4h"] > 45.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] > -15.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 50.0) | (df["RSI_14_4h"] < 40.0) | (df["ROC_9_1d"] > -30.0))
            # 1d down move, 4h high, 1d downtrend
            & ((df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_1d"] > -70.0))
            # 1d down move, 1h high & overbought
            & ((df["RSI_3_1d"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1h"] < 10.0))
            # 1d down move, 1h high & overbought
            & ((df["RSI_3_1d"] > 40.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1d"] < 80.0))
            # 4h downtrend, 1h & 4h high
            & ((df["CMF_20_4h"] > -0.30) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m still high, 1h & 4h overbought
            & ((df["AROONU_14_15m"] < 50.0) | (df["ROC_9_1h"] < 100.0) | (df["ROC_9_4h"] < 100.0))
            # 15m & 1d high, 1d overbought
            & ((df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1d"] < 30.0))
            # 1h still high, 4h & 1d downtrend
            & ((df["AROONU_14_1h"] < 40.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -40.0))
            # 1h & 4h high, 1d downtrend
            & ((df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1d"] > -20.0))
            # 1h & 4h high, 1d overbought
            & ((df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1d"] < 20.0))
            # 1h & 1d high, 1d overbought
            & ((df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1d"] < 200.0))
            # 1h high, 4h downtrend, 1d overbought
            & ((df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] > -40.0) | (df["ROC_9_1d"] < 100.0))
            # 1h & 4h high, 4h overbought
            & ((df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 30.0))
            # 1h high, 1d downtrend
            & ((df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1d"] > -60.0))
            # 1h high, 1h & 4h overbought
            & ((df["AROONU_14_1h"] < 100.0) | (df["ROC_9_1h"] < 100.0) | (df["ROC_9_4h"] < 100.0))
            # 4h & 1d high, 1d overbought
            & ((df["AROONU_14_4h"] < 60.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 70.0))
            # 4h high, 1h & 4h overbought
            & ((df["AROONU_14_4h"] < 85.0) | (df["ROC_9_1h"] < 80.0) | (df["ROC_9_4h"] < 80.0))
            # 4h high, 1h downtrend, 4h overbought
            & ((df["AROONU_14_4h"] < 90.0) | (df["ROC_9_1h"] > -40.0) | (df["ROC_9_4h"] < 100.0))
            # 4h & 1d high, 4h overbought
            & ((df["AROONU_14_4h"] < 90.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 100.0))
            # 4h high, 1h & 4h overbought
            & ((df["AROONU_14_4h"] < 90.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_4h"] < 20.0))
            # 4h & 1d high, 4h overbought
            & ((df["AROONU_14_4h"] < 100.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 30.0))
            # 4h & 1d high, 1d overbought
            & ((df["AROONU_14_4h"] < 100.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 40.0))
            # 1d high, 1h & 4h downtrend
            & ((df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1h"] > -30.0) | (df["ROC_9_4h"] > -30.0))
            # 1d high, 4h & 1d overbought
            & ((df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 100.0))
            # 1h high, 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_1d"] < 40.0))
            # 1h high, 4h overbought
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_4h"] < 80.0))
            # 1h high, 4h & 1d downtrend
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 85.0) | (df["ROC_9_4h"] > -70.0) | (df["ROC_9_1d"] > -70.0))
            # 4h high, 1h & 4h overbought
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1h"] < 40.0) | (df["ROC_9_4h"] < 100.0))
            # 1d high, 4h & 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 100.0))
            # 1h & 4h overbought, 1d downtrend
            & ((df["ROC_9_1h"] < 40.0) | (df["ROC_9_4h"] < 50.0) | (df["ROC_9_1d"] > -30.0))
            # big drop in the last 20 days, 1d high, 1d downtrend
            & (
              (df["close"] > (df["high_max_20_1d"] * 0.20))
              | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0)
              | (df["ROC_9_1d"] > -15.0)
            )
          )

          # Logic
          long_entry_logic.append(
            (df["RSI_14"] < 40.0)
            & (df["MFI_14"] < 40.0)
            & (df["AROONU_14"] < 25.0)
            & (df["EMA_26"] > df["EMA_12"])
            & ((df["EMA_26"] - df["EMA_12"]) > (df["open"] * 0.024))
            & ((df["EMA_26"].shift() - df["EMA_12"].shift()) > (df["open"] / 100.0))
            & (df["close"] < (df["EMA_20"] * 0.960))
            & (df["close"] < (df["BBL_20_2.0"] * 0.999))
          )

        # Condition #44 - Quick mode (Long).
        if long_entry_condition_index == 44:
          # Protections
          long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288)
          # long_entry_logic.append(df["protections_long_global"] == True)

          long_entry_logic.append(
            # 5m & 1h & 4h down move
            ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0))
            # 15m & 1h & 4h down move
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 10.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 3.0) | (df["AROONU_14_1h"] < 60.0))
            # 15m & 1h & 4h down move
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0))
            # 15m & 1h down move, 1d downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 5.0) | (df["ROC_9_1d"] > -30.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1d"] < 100.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 80.0))
            # 15m & 4h down move, 4h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 10.0) | (df["AROONU_14_4h"] < 40.0))
            # 15m & 4h down move, 15m downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_15m"] > -30.0))
            # 15m & 4h down move, 1h downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1h"] > -20.0))
            # 15m & 4h down move, 1h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1h"] < 50.0))
            # 15m & 4h down move, 1h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 15m down move, 1h still high, 1d overbought
            & ((df["RSI_3_15m"] > 3.0) | (df["AROONU_14_1h"] < 40.0) | (df["ROC_9_1d"] < 70.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 3.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 100.0))
            # 15m down move, 1h high
            & ((df["RSI_3_15m"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0))
            # 15m down move, 4h high, 15m downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_15m"] > -30.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 70.0))
            # 15m & 1h down move, 1h downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["ROC_9_1h"] > -20.0))
            # 15m & 4h down move, 1h still not low enough
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0))
            # 15m down move, 4h overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["ROC_9_4h"] < 30.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 70.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_4h"] < 75.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 45.0) | (df["AROONU_14_4h"] < 90.0))
            # 15m down move, 4h & 1d downtrend
            & ((df["RSI_3_15m"] > 15.0) | (df["ROC_9_4h"] > -10.0) | (df["ROC_9_1d"] > -40.0))
            # 15m down move, 1h high & overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1d"] < 100.0))
            # 1h & 4h down move, 1h still not low enough
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 3.0) | (df["AROONU_14_1h"] < 20.0))
            # 1h & 4h down move
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 5.0))
            # 1h & 4h down move, 1d still high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 10.0) | (df["AROONU_14_1d"] < 50.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 60.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 60.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0))
            # 1h down move, 1h & 4h still high
            & ((df["RSI_3_1h"] > 3.0) | (df["AROONU_14_1h"] < 50.0) | (df["AROONU_14_4h"] < 50.0))
            # 1h down move, 1h still high, 1h downtrend
            & ((df["RSI_3_1h"] > 3.0) | (df["AROONU_14_1h"] < 50.0) | (df["ROC_9_1h"] > -20.0))
            # 1h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_1h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_1h"] > -15.0))
            # 1h downtrend, 4h high
            & ((df["RSI_3_1h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 1h down move, 1h & 4h downtrend
            & ((df["RSI_3_1h"] > 3.0) | (df["ROC_9_1h"] > -20.0) | (df["ROC_9_4h"] > -20.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["AROONU_14_4h"] < 50.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_14_4h"] < 40.0))
            # 1h & 1d down move, 1d downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_1d"] > 5.0) | (df["ROC_9_1d"] > -20.0))
            # 1h down move, 1h high
            & ((df["RSI_3_1h"] > 5.0) | (df["AROONU_14_1h"] < 60.0))
            # 1h down move, 4h high
            & ((df["RSI_3_1h"] > 5.0) | (df["AROONU_14_4h"] < 70.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 5.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1d"] < 30.0))
            # 1h down move, 4h & 1d downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -25.0))
            # 1h down move, 1d overbought
            & ((df["RSI_3_1h"] > 5.0) | (df["ROC_9_1d"] < 100.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1d"] > -20.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_14_4h"] < 40.0))
            # 1h & 4h down move, 1h still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1h"] < 50.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["ROC_9_1d"] > -40.0))
            # 1h & 4h down move, 1h downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["ROC_9_1h"] > -25.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 70.0))
            # 1h & 4h down move, 1h high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 60.0) | (df["AROONU_14_1h"] < 70.0))
            # 1h & 1d down move, 4h still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 10.0) | (df["AROONU_14_4h"] < 40.0))
            # 1h & 1d down move, 1h still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 15.0) | (df["AROONU_14_1h"] < 50.0))
            # 1h & 1d down move, 1h high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 40.0) | (df["AROONU_14_1h"] < 70.0))
            # 1h down move, 1h still high, 4h downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 40.0) | (df["ROC_9_4h"] > -30.0))
            # 1h down move, 1h still high, 1d high
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 50.0) | (df["AROONU_14_1d"] < 90.0))
            # 1h down move, 1h high, 1h downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 60.0) | (df["ROC_9_1h"] > -10.0))
            # 1h down move, 1h high, 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] > -30.0))
            # 1h down move, 1h high
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 80.0))
            # 1h down move, 4h still high, 15m downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_4h"] < 50.0) | (df["CMF_20_15m"] > -0.40))
            # 1h down move, 4h still high, 4h downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_4h"] > -30.0))
            # 1h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] > -30.0))
            # 1h down move, 4h & 1d high
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_4h"] < 60.0) | (df["AROONU_14_1d"] < 100.0))
            # 1h down move, 4h high, 1d overbought
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 4h high
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_4h"] < 100.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 60.0))
            # 1h down move, 4h overbought
            & ((df["RSI_3_1h"] > 10.0) | (df["ROC_9_4h"] < 10.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 20.0))
            # 1h down move, 4h & 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["ROC_9_4h"] > -30.0) | (df["ROC_9_1d"] > -50.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 45.0) | (df["AROONU_14_4h"] < 80.0))
            # 1h down move, 1h high, 1d downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 50.0) | (df["ROC_9_1d"] > -40.0))
            # 1h down move, 1h & 1d high
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 60.0) | (df["AROONU_14_1d"] < 85.0))
            # 1h down move, 1h high, 1d downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 60.0) | (df["ROC_9_1d"] > -30.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 60.0) | (df["ROC_9_1d"] < 50.0))
            # 1h down move, 1h high, 4h downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] > -10.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 100.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 1h & 4h downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["ROC_9_1h"] > -30.0) | (df["ROC_9_4h"] > -30.0))
            # 1h down move, 1h & 4h overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 50.0))
            # 1h down move, 1h & 4h overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 20.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 90.0))
            # 1h down move, 1h still high, 4h downtrend
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 40.0) | (df["ROC_9_4h"] > -30.0))
            # 1h down move, 4h high, 1d downtrend
            & ((df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1d"] > -40.0))
            # 1h down move, 4h & 1d downtrend
            & ((df["RSI_3_1h"] > 20.0) | (df["ROC_9_4h"] > -30.0) | (df["ROC_9_1d"] > -40.0))
            # 1h & 4h down ove, 4h high
            & ((df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 45.0) | (df["AROONU_14_4h"] < 90.0))
            # 1h down move, 1h & 1d high
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_1d"] < 80.0))
            # 1h down move, 4h high, 1d downtrend
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1d"] > -20.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 1h still high, 1d overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_1d"] < 40.0))
            # 1h down move, 1h downtrend, 4h overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["ROC_9_1h"] > -20.0) | (df["ROC_9_4h"] < 20.0))
            # 1h down move, 1d overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["ROC_9_1d"] < 200.0))
            # 1h down move, 4h high
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 100.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 10.0))
            # 4h down move, 4h still high, 1d high
            & ((df["RSI_3_4h"] > 3.0) | (df["AROONU_14_4h"] < 50.0) | (df["AROONU_14_1d"] < 100.0))
            # 4h down move, 1d still high, 4h downtrend
            & ((df["RSI_3_4h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["ROC_9_4h"] > -30.0))
            # 4h down move, 1d overbought
            & ((df["RSI_3_4h"] > 3.0) | (df["ROC_9_1d"] < 200.0))
            # 4h down move, 1h still high
            & ((df["RSI_3_4h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 4h down move, 1h & 4h downtrend
            & ((df["RSI_3_4h"] > 5.0) | (df["ROC_9_1h"] > -15.0) | (df["ROC_9_4h"] > -20.0))
            # 4h down move, 4h downtrend
            & ((df["RSI_3_4h"] > 5.0) | (df["ROC_9_4h"] > -40.0))
            # 4h & 1d down move, 1d high
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 20.0) | (df["AROONU_14_1d"] < 80.0))
            # 4h down move, 1d high, 4h downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_4h"] > -20.0))
            # 4h down move, 1h & 4h downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["ROC_9_1h"] > -30.0) | (df["ROC_9_4h"] > -30.0))
            # 4h down move, 4h still not low enough, 1d overbought
            & ((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 30.0) | (df["ROC_9_1d"] < 50.0))
            # 4h down move, 4h high
            & ((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 60.0))
            # 4h down move, 4h still high, 1d overbought
            & ((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 40.0) | (df["ROC_9_1d"] < 40.0))
            # 15m down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] > -40.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 80.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] > -40.0))
            # 4h down move, 4h & 1d high
            & ((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 30.0))
            # 4h down move, 1h high & overbought
            & ((df["RSI_3_4h"] > 35.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1d"] < 100.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 50.0) | (df["RSI_14_4h"] < 40.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 4h high, 1d overbought
            & ((df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] < 40.0))
            # 4h down move, 4h high
            & ((df["RSI_3_4h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 4h down move, 4h overbought
            & ((df["RSI_3_4h"] > 50.0) | (df["ROC_9_4h"] < 60.0))
            # 4h downtrend, 4h high
            & ((df["CMF_20_4h"] > -0.50) | (df["AROONU_14_4h"] < 70.0))
            # 1h & 1d high, 4h downtrend
            & ((df["AROONU_14_1h"] < 40.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_4h"] > -20.0))
            # 1h still high, 1h & 4h downtrend
            & ((df["AROONU_14_1h"] < 40.0) | (df["ROC_9_1h"] > -20.0) | (df["ROC_9_4h"] > -30.0))
            # 1h & 4h high, 1d overbought
            & ((df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1d"] < 20.0))
            # 1h high, 4h & 1d downtrend
            & ((df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -50.0))
            # 1h high, 4h downtrend
            & ((df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] > -40.0))
            # 1h & 1d high, 1d overbought
            & ((df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1d"] < 80.0))
            # 1h & 1d high, 1h downtrend
            & ((df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1h"] > -20.0))
            # 4h & 1d high, 1h downtrend
            & ((df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1h"] > -30.0))
            # 4h & 1d high, 4h overbought
            & ((df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 40.0))
            # 4h high, 1h downtrend
            & ((df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1h"] > -40.0))
            # 4h high & overbought
            & ((df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 100.0))
            # 4h high, 1d downtrend
            & ((df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1d"] > -30.0))
            # 1d still high, 1d downtrend
            & ((df["AROONU_14_1d"] < 50.0) | (df["ROC_9_1d"] > -30.0))
            # 1d high, 15m downtrend
            & ((df["AROONU_14_1d"] < 70.0) | (df["ROC_9_15m"] > -50.0))
            # 1d high, 1h downtrend
            & ((df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1h"] > -70.0))
            # 1d high, 4h downtrend
            & ((df["AROONU_14_1d"] < 80.0) | (df["ROC_9_4h"] > -70.0))
            # 1d high, 4h downtrend
            & ((df["AROONU_14_1d"] < 90.0) | (df["ROC_9_4h"] > -40.0))
            # 1d high & overbought
            & ((df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1d"] < 200.0))
            # 1d high, 4h & 1d overbought
            & ((df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 80.0))
            # 1h still high, 4h & 1d downtrend
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -50.0))
            # 1h high, 15m downtrend
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_15m"] > -30.0))
            # 4h high, 1d downtrend
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_1d"] > -70.0))
            # 1d high, 1h downtrend
            & ((df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1h"] > -20.0))
            # 1d high, 1d downtrend
            & ((df["STOCHRSIk_14_14_3_3_1d"] < 60.0) | (df["ROC_9_1d"] > -30.0))
            # 15m downtrend, 1d overbought
            & ((df["ROC_9_15m"] > -60.0) | (df["ROC_9_1d"] < 200.0))
            # 1h downtrend, 1d overbought
            & ((df["ROC_9_1h"] > -60.0) | (df["ROC_9_1d"] < 200.0))
            # big drop in the last 20 days, 1d high, 1d downtrend
            & (
              (df["close"] > (df["high_max_20_1d"] * 0.20))
              | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0)
              | (df["ROC_9_1d"] > -15.0)
            )
          )

          # Logic
          long_entry_logic.append(
            (df["RSI_3"] < 40.0)
            & (df["RSI_3_15m"] < 50.0)
            & (df["AROONU_14_15m"] < 25.0)
            & (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
            & (df["EMA_26_15m"] > df["EMA_12_15m"])
            & ((df["EMA_26_15m"] - df["EMA_12_15m"]) > (df["open_15m"] * 0.050))
            & ((df["EMA_26_15m"].shift() - df["EMA_12_15m"].shift()) > (df["open_15m"] / 100.0))
          )

        # Condition #45 - Quick mode (Long).
        if long_entry_condition_index == 45:
          # Protections
          long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288)
          long_entry_logic.append(df["protections_long_global"] == True)

          # 5m & 15m down move, 4h still high
          long_entry_logic.append(
            (df["RSI_3"] > 3.0) | (df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
          )
          # 15m & 1h down move, 1h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
          )
          # 5m & 4h & 1d down move
          long_entry_logic.append((df["RSI_3"] > 3.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 20.0))
          # 15m & 1h down move, 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0)
          )
          # 15m & 4h down move
          long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 10.0))
          # 15m & 4h down move, 4h still not low enough
          long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_14_4h"] < 35.0))
          # 15m down move, 4h still high, 15m downtrend
          long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["AROONU_14_4h"] < 40.0) | (df["CMF_20_15m"] > -0.35))
          # 15m & 1h down move
          long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 15.0))
          # 15m & 1h down move, 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
          )
          # 15m down move, 1h still not low enough
          long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["AROONU_14_1h"] < 30.0))
          # 15m down move, 4h high
          long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["AROONU_14_4h"] < 90.0))
          # 15m & 1h & 1d down move
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 10.0))
          # 15m & 1h down move, 1d overbought
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["ROC_9_1d"] < 30.0))
          # 15m & 1h down move, 1h high
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1h"] < 80.0))
          # 15m & 1h down move, 1h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 65.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
          )
          # 15m & 4h down move, 4h still not low enough
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
          )
          # 15m & 4h down move, 1d high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0)
          )
          # 15m & 4h down move, 4h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0)
          )
          # 15m down move, 1h & 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 100.0)
          )
          # 15m down move, 1h high & overbought
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1h"] < 10.0))
          # 15m down move, 1h high, 4h overbought
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] < 20.0))
          # 15m down move, 4h & 1d high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["AROONU_14_4h"] < 75.0) | (df["AROONU_14_1d"] < 100.0)
          )
          # 15m down move, 4h high, 1h overbought
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1h"] < 10.0))
          # 15m down move, 4h high & overbought
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 20.0))
          # 15m & 1h down move, 4h high
          long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 15.0) | (df["AROONU_14_4h"] < 70.0))
          # 15m down move, 1h & 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 15.0) | (df["AROONU_14_1h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)
          )
          # 15m down move, 4h high, 1d overbought
          long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] < 50.0))
          # 15m & 1h down move, 1d overbought
          long_entry_logic.append((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 40.0) | (df["ROC_9_1d"] < 80.0))
          # 15m & 1h down move, 1h high
          long_entry_logic.append((df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 70.0))
          # 1h down move, 4h still not low enough
          long_entry_logic.append((df["RSI_3_1h"] > 3.0) | (df["AROONU_14_4h"] < 30.0))
          # 1h & 4h down move, 1h still not low enough
          long_entry_logic.append((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_1h"] < 20.0))
          # 1h down move, 1h still not low enough
          long_entry_logic.append((df["RSI_3_1h"] > 5.0) | (df["AROONU_14_1h"] < 30.0))
          # 1h down move, 1h still not low enough
          long_entry_logic.append((df["RSI_3_1h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 25.0))
          # 1h & 4h down move
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0))
          # 1h & 4h down move, 4h still not low enough
          long_entry_logic.append(
            (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
          )
          # 1h & 4h down move, 4h still high
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 50.0))
          # 1h & 4h down move, 4h still not low enough
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_14_4h"] < 40.0))
          # 1h & 4h down move, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_4h"] < 60.0))
          # 1h & 1d down move, 4h still high
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 10.0) | (df["AROONU_14_4h"] < 40.0))
          # 1h & 1d down move, 5m moving down
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 15.0) | (df["ROC_2"] > -0.0))
          # 1h & 1d down move, 4h still high
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 30.0) | (df["AROONU_14_4h"] < 50.0))
          # 15m & 1d down move, 1d high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1d"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0)
          )
          # 1h & 4h down move, 4h still not low enough
          long_entry_logic.append(
            (df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
          )
          # 1h down move, 1h still not low enough, 1d high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["AROONU_14_1d"] < 85.0)
          )
          # 1h down move, 1h still not low enough
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 25.0))
          # 1h down move, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_4h"] < 85.0))
          # 1h down move, 1d high & overbought
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1d"] < 50.0))
          # 1h & 4h down move, 4h still high
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 40.0))
          # 1h & 4h down move, 1d high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0)
          )
          # 1h & 4h & 1d down move
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 30.0))
          # 1h & 4h down move, 1d high
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_1d"] < 100.0))
          # 1h down move, 1h still high
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 50.0))
          # 1h down move, 1d high, 4h downtrend
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_4h"] > -20.0))
          # 1h down move, 1h still high
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0))
          # 1h & 4h down move, 1d overbought
          long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["ROC_9_1d"] < 20.0))
          # 1h down move, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_4h"] < 90.0))
          # 1h down move, 4h still high
          long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
          # 1h & 4h down move, 1h high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0)
          )
          # 1h & 4h down move, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_4h"] < 70.0))
          # 1h down move, 1h high
          long_entry_logic.append((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 70.0))
          # 1h down move, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
          # 1h & 1d down move, 1h still high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 30.0) | (df["RSI_3_1d"] > 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
          )
          # 1h down move, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 30.0) | (df["RSI_14_4h"] < 80.0))
          # 14 down move, 1h high
          long_entry_logic.append((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 80.0))
          # 1h down move, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 80.0))
          # 1h down move, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
          # 1h down move, 4h & 1d high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0)
          )
          # 1h down move, 1h still high, 1d overbought
          long_entry_logic.append((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 50.0) | (df["ROC_9_1d"] < 50.0))
          # 1h down move, 1h & 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 90.0))
          # 1h down move, 1h & 4h high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["AROONU_14_4h"] < 90.0)
          )
          # 4h down move, 1d high
          long_entry_logic.append((df["RSI_3_4h"] > 5.0) | (df["AROONU_14_1d"] < 100.0))
          # 4h & 1d down move, 1d still high
          long_entry_logic.append(
            (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0)
          )
          # 4h downmove, 4h still high
          long_entry_logic.append((df["RSI_3_4h"] > 10.0) | (df["AROONU_14_4h"] < 40.0))
          # 4h down move, 1h still high, 1d downtrend
          long_entry_logic.append(
            (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["ROC_9_1d"] > -20.0)
          )
          # 4h down move, 1h & 1d downtrend
          long_entry_logic.append((df["RSI_3_4h"] > 10.0) | (df["ROC_9_1h"] > -20.0) | (df["ROC_9_1d"] > -20.0))
          # 4h & 1d down move, 1d still high
          long_entry_logic.append((df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 35.0) | (df["RSI_14_1d"] < 50.0))
          # 4h down move, 1h still not low enough
          long_entry_logic.append((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1h"] < 30.0))
          # 4h & 1d down move, 1d high
          long_entry_logic.append((df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 20.0) | (df["AROONU_14_1d"] < 80.0))
          # 4h down move, 4h still high, 1d high
          long_entry_logic.append((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 50.0) | (df["AROONU_14_1d"] < 100.0))
          # 4h down move, 1d high
          long_entry_logic.append((df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
          # 4h down move, 4h & 1d downtrend
          long_entry_logic.append((df["RSI_3_4h"] > 25.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -20.0))
          # 4h down move, 4h & 1d high
          long_entry_logic.append((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0))
          # 4h down move, 1h high
          long_entry_logic.append((df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0))
          # 4h down move, 4h still high
          long_entry_logic.append((df["RSI_3_4h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
          # 4h down move, 1h high
          long_entry_logic.append((df["RSI_3_4h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
          # 4h down move, 4h high
          long_entry_logic.append((df["RSI_3_4h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
          # 1d down move, 1h still not low enough
          long_entry_logic.append((df["RSI_3_1d"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0))
          # 1d down move, 1h still not low enough
          long_entry_logic.append((df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0))
          # 1d down move, 4h still high
          long_entry_logic.append((df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
          # 1d down move, 1h high & overbought
          long_entry_logic.append(
            (df["RSI_3_1d"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1h"] < 10.0)
          )
          # 15m still high, 1h & 4h high
          long_entry_logic.append(
            (df["RSI_14_15m"] < 40.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 90.0)
          )
          # 1h & 4h high, 4h overbought
          long_entry_logic.append((df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 20.0))
          # 4h high, 1d overbought
          long_entry_logic.append((df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] < 80.0))
          # 4h high, 1h & 1d downtrend
          long_entry_logic.append((df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1h"] > -20.0) | (df["ROC_9_1d"] > -20.0))
          # 4h high, 1h & 4h overbought
          long_entry_logic.append((df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_4h"] < 10.0))
          # 4h high & overbought
          long_entry_logic.append((df["AROONU_14_4h"] < 90.0) | (df["ROC_9_4h"] < 80.0))
          # 1d high, 4h & 1d downtrend
          long_entry_logic.append((df["AROONU_14_1d"] < 80.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -20.0))
          # 1h high, 4h overbought
          long_entry_logic.append((df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_4h"] < 80.0))
          # 4h high, 1h & 1d downtrend
          long_entry_logic.append(
            (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_1h"] > -20.0) | (df["ROC_9_1d"] > -20.0)
          )
          # 4h high, 1h & 4h overbought
          long_entry_logic.append(
            (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_4h"] < 10.0)
          )
          # 4h high, 4h & 1d overbought
          long_entry_logic.append(
            (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 30.0)
          )
          # 1d top wick, 4h still high
          long_entry_logic.append((df["top_wick_pct_1d"] < 40.0) | (df["AROONU_14_4h"] < 50.0))
          # pump, 4h still high
          long_entry_logic.append(
            (((df["high_max_24_4h"] - df["low_min_24_4h"]) / df["low_min_24_4h"]) < 2.0)
            | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
          )
          # pump, drop but not yet near the previous lows
          long_entry_logic.append(
            (((df["high_max_24_4h"] - df["low_min_24_4h"]) / df["low_min_24_4h"]) < 2.0)
            | (df["close"] > (df["high_max_6_4h"] * 0.75))
            | (df["close"] < (df["low_min_24_4h"] * 1.25))
          )
          # pump, drop but not yet near the previous lows
          long_entry_logic.append(
            (((df["high_max_12_1d"] - df["low_min_12_1d"]) / df["low_min_12_1d"]) < 2.0)
            | (df["close"] > (df["high_max_24_4h"] * 0.70))
            | (df["close"] < (df["low_min_12_1d"] * 1.25))
          )
          # big drop in last hour
          long_entry_logic.append(df["close"] > (df["close_max_12"] * 0.50))
          # big drop in last hour, 1d down move
          long_entry_logic.append((df["close"] > (df["close_max_12"] * 0.80)) | (df["RSI_3_1d"] > 15.0))
          # big drop in the last 12 hours, 4h still high
          long_entry_logic.append((df["close"] > (df["high_max_12_1h"] * 0.50)) | (df["AROONU_14_4h"] < 50.0))
          # big drop in the last 6 days, 1h still high
          long_entry_logic.append((df["close"] > (df["high_max_6_1d"] * 0.25)) | (df["AROONU_14_1h"] < 50.0))
          # big drop in the last 12 days, 1h down move
          long_entry_logic.append((df["close"] > (df["high_max_12_1d"] * 0.45)) | (df["RSI_3_1h"] > 5.0))
          # big drop in the last 12 days, 4h down move
          long_entry_logic.append((df["close"] > (df["high_max_12_1d"] * 0.40)) | (df["RSI_3_4h"] > 15.0))
          # big drop in the last 12 days, 1h still high
          long_entry_logic.append((df["close"] > (df["high_max_12_1d"] * 0.25)) | (df["AROONU_14_1h"] < 75.0))
          # big drop in the last 20 days, 1h down move
          long_entry_logic.append((df["close"] > (df["high_max_20_1d"] * 0.35)) | (df["RSI_3_1h"] > 10.0))
          # big drop in the last 20 days, 1h down move
          long_entry_logic.append((df["close"] > (df["high_max_20_1d"] * 0.25)) | (df["RSI_3_1h"] > 15.0))
          # big drop in the last 20 days, 1h down move
          long_entry_logic.append((df["close"] > (df["high_max_20_1d"] * 0.10)) | (df["RSI_3_1h"] > 20.0))
          # big drop in the last 20 days, 1d high, 1d downtrend
          long_entry_logic.append(
            (df["close"] > (df["high_max_20_1d"] * 0.20))
            | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0)
            | (df["ROC_9_1d"] > -15.0)
          )
          # big drop in the last 30 days, 4h down move, 4h still high
          long_entry_logic.append(
            (df["close"] > (df["high_max_30_1d"] * 0.25)) | (df["RSI_3_4h"] > 45.0) | (df["RSI_14_4h"] < 40.0)
          )

          # Logic
          long_entry_logic.append(df["RSI_3"] < 50.0)
          long_entry_logic.append(df["AROONU_14_15m"] < 25.0)
          long_entry_logic.append(df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
          long_entry_logic.append(df["close_15m"] < (df["EMA_20_15m"] * 0.924))

        # Condition #46 - Quick mode (Long).
        if long_entry_condition_index == 46:
          # Protections
          long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288)
          long_entry_logic.append(df["protections_long_global"] == True)

          # 5m & 1h down move
          long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 5.0))
          # 15m & 4h down move, 4h still high
          long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 40.0))
          # 15m & 4h down move
          long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 10.0))
          # 15m & 4h down move, 4h still high
          long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 40.0))
          # 15m & 4h down move, 4h still high
          long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 50.0))
          # 15m & 1h & 4h down move
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 30.0))
          # 15m & 1h down move, 4h still not low enough
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_14_4h"] < 30.0))
          # 15m & 1h & 4h down move
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0))
          # 15m & 1h down move, 1h still high
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 40.0))
          # 15m & 1h down move, 4h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0)
          )
          # 15m & 4h down move, 1d high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0)
          )
          # 15m & 4h down move, 4h downtrend
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_4h"] > -20.0))
          # 15m & 4h down move, 4h still high
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 50.0))
          # 15m & 4h down move, 4h still not low enough
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
          )
          # 15m & 4h down move, 1d high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0)
          )
          # 15m down move, 4h still high, 1d high
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_4h"] < 50.0) | (df["AROONU_14_1d"] < 90.0))
          # 15m & 1h down move, 4h high
          long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_4h"] < 60.0))
          # 15m & 4h down move, 1h still high
          long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1h"] < 40.0))
          # 15m & 1h & 1d down move, 1h still not low enough, 1d high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 20.0)
            | (df["RSI_3_1h"] > 20.0)
            | (df["RSI_3_1d"] > 30.0)
            | (df["RSI_14_1h"] < 30.0)
            | (df["AROONU_14_1d"] < 80.0)
          )
          # 15m & 1h down move, 4h still high, 4h overbought
          long_entry_logic.append(
            (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_4h"] < 10.0)
          )
          # 15m & 1h down move, 4h high
          long_entry_logic.append((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_4h"] < 70.0))
          # 15m down move, 1h & 4h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1h"] < 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
          )
          # 15m & 1h & 4h down move, 1d high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 25.0) | (df["ROC_9_1d"] < 70.0)
          )
          # 15m & 4h down move, 4h high
          long_entry_logic.append((df["RSI_3_15m"] > 25.0) | (df["RSI_3_4h"] > 45.0) | (df["AROONU_14_4h"] < 85.0))
          # 15m & 1h down move, 15m still not low enough
          long_entry_logic.append((df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_15m"] < 15.0))
          # 15m & 1h down move, 1h high
          long_entry_logic.append((df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 80.0))
          # 1h down move, 1h still not low enough, 1d high
          long_entry_logic.append((df["RSI_3_1h"] > 3.0) | (df["AROONU_14_1h"] < 20.0) | (df["AROONU_14_1d"] < 90.0))
          # 1h & 4h down move
          long_entry_logic.append((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0))
          # 1h & 4h down move, 4h downtrend
          long_entry_logic.append((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_4h"] > -30.0))
          # 1h & 4h down move, 4h still not low enough
          long_entry_logic.append(
            (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
          )
          # 1h & 1d down move, 1d high
          long_entry_logic.append((df["RSI_3_1h"] > 5.0) | (df["RSI_3_1d"] > 45.0) | (df["AROONU_14_1d"] < 80.0))
          # 1h down move, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 5.0) | (df["AROONU_14_4h"] < 70.0))
          # 1h down move, 1d still high
          long_entry_logic.append((df["RSI_3_1h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0))
          # 1h & 4h down move, 4h still not low enough
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_14_4h"] < 30.0))
          # 1h & 4h down move, 4h still not low enough
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_14_4h"] < 40.0))
          # 1h & 4h down move, 4h still not low enough
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 30.0))
          # 1h & 4h & 1d down move
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_3_1d"] > 30.0))
          # 1h & 4h down move, 1d overbought
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 35.0) | (df["ROC_9_1d"] < 50.0))
          # 1h & 4h down move, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 45.0) | (df["AROONU_14_4h"] < 70.0))
          # 1h & 4h down move, 4h still high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0)
          )
          # 1h & 1d down move, 4h still not low enough
          long_entry_logic.append(
            (df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
          )
          # 1h & 1d down move, 4h still high
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 30.0) | (df["AROONU_14_4h"] < 50.0))
          # 1h down move, 1h still high
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 50.0))
          # 1h down move, 4h still high, 1d high
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_4h"] < 60.0) | (df["AROONU_14_1d"] < 90.0))
          # 1h down move, 1d high & overbought
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 30.0))
          # 1h & 4h down move, 1d stll high
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_14_1d"] < 40.0))
          # 1h & 4h & 1d down move
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 30.0))
          # 1h & 4h down move, 4h still not low enough
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 30.0))
          # 1h & 4h down move, 1d overbought
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["ROC_9_1d"] < 50.0))
          # 1h & 4h & 1d down move
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 25.0) | (df["RSI_3_1d"] > 25.0))
          # 1h & 4h down move, 1d high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0)
          )
          # 1h & 4h down move, 1h & 4h still high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_14_1h"] < 40.0) | (df["RSI_14_4h"] < 50.0)
          )
          # 1h & 4h down move, 4h still high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
          )
          # 1h & 4h down move, 4h still high
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 40.0))
          # 1h & 1d down move, 1d still high
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_1d"] > 15.0) | (df["AROONU_14_1d"] < 50.0))
          # 1h down move, 1h still high, 1d overbought
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 40.0) | (df["ROC_9_1d"] < 50.0))
          # 1h down move, 1d high, 4h downtrend
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_4h"] > -20.0))
          # 1h down move, 1d high & overbought
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 30.0))
          # 1h down move, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
          # 1h & 4h down move, 1h still not low enough
          long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1h"] < 30.0))
          # 1h & 4h down move, 4h still high
          long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_14_4h"] < 40.0))
          # 1h & 4h down move, 4h still high
          long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 50.0))
          # 1h & 4h down move, 1d downtrend
          long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["ROC_9_1d"] > -30.0))
          # 1h & 4h down move, 1d high
          long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 35.0) | (df["AROONU_14_1d"] < 80.0))
          # 1h & 4h down move, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 45.0) | (df["AROONU_14_4h"] < 65.0))
          # 1h & 1d down move, 1d high
          long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["RSI_3_1d"] > 20.0) | (df["AROONU_14_1d"] < 70.0))
          # 1h down move, 1h still high, 1d high
          long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 40.0) | (df["AROONU_14_1d"] < 90.0))
          # 4h down move, 4h still high, 1d high
          long_entry_logic.append((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 50.0) | (df["AROONU_14_1d"] < 100.0))
          # 1h down move, 4h still high, 1d downtrend
          long_entry_logic.append(
            (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["ROC_9_1d"] > -25.0)
          )
          # 1h down move, 4h & 1d high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0)
          )
          # 1h & 4h down move, 1h still high
          long_entry_logic.append((df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 35.0) | (df["AROONU_14_1h"] < 40.0))
          # 1h & 4h down move, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_4h"] < 70.0))
          # 1h down move, 15m still not low enough, 4h high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 25.0) | (df["RSI_14_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0)
          )
          # 1h & 4h down move, 4h still high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
          )
          # 1h down move, 1h high
          long_entry_logic.append((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 60.0))
          # 1h down move, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 80.0))
          # 1h & 1d down move, 1d high
          long_entry_logic.append((df["RSI_3_1h"] > 30.0) | (df["RSI_3_1d"] > 45.0) | (df["AROONU_14_1d"] < 80.0))
          # 1h down move, 4h & 1d high
          long_entry_logic.append((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 70.0) | (df["AROONU_14_1d"] < 100.0))
          # 1h down move, 4h high, 1d downtrend
          long_entry_logic.append((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1d"] > -30.0))
          # 1h down move, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0))
          # 1h & 4h down move, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 55.0) | (df["AROONU_14_4h"] < 80.0))
          # 1h down move, 1h & 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 90.0))
          # 1h down move, 4h high, 4h downtrend
          long_entry_logic.append((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_4h"] < 70.0) | (df["CMF_20_4h"] > -0.30))
          # 1h down move, 1d high, 4h overbought
          long_entry_logic.append((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_4h"] < 40.0))
          # 1h down move, 1h high, 1d overbought
          long_entry_logic.append((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] < 20.0))
          # 1h down move, 1h & 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 50.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 100.0))
          # 1h down move, 1h overbought
          long_entry_logic.append((df["RSI_3_1h"] > 50.0) | (df["ROC_9_1h"] < 40.0))
          # 4h & 1d down move, 1d high
          long_entry_logic.append((df["RSI_3_4h"] > 5.0) | (df["RSI_3_1d"] > 30.0) | (df["AROONU_14_1d"] < 70.0))
          # 4h down move, 1h & 4h downtrend
          long_entry_logic.append((df["RSI_3_4h"] > 5.0) | (df["ROC_9_1h"] > -15.0) | (df["ROC_9_4h"] > -20.0))
          # 4h & 1d down move
          long_entry_logic.append((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 20.0))
          # 4h & 1d down move, 1d high
          long_entry_logic.append((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 50.0) | (df["AROONU_14_1d"] < 90.0))
          # 4h down move, 4h & 1d still high
          long_entry_logic.append((df["RSI_3_4h"] > 10.0) | (df["AROONU_14_4h"] < 50.0) | (df["AROONU_14_1d"] < 50.0))
          # 4h & 1d down move, 1d low
          long_entry_logic.append((df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 25.0) | (df["CMF_20_1d"] > -0.2))
          # 4h & 1d down move, 1d still high
          long_entry_logic.append((df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 30.0) | (df["AROONU_14_1d"] < 50.0))
          # 4h & 1d down move, 1d overbought
          long_entry_logic.append((df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 45.0) | (df["ROC_9_1d"] < 40.0))
          # 4h down move, 4h still not low enough, 1d downtrend
          long_entry_logic.append(
            (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["ROC_9_1d"] > -20.0)
          )
          # 4h down move, 4h & 1d downtrend
          long_entry_logic.append((df["RSI_3_4h"] > 20.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -20.0))
          # 4h down move, 4h high
          long_entry_logic.append((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 90.0))
          # 4h down move, 4h & 1d high
          long_entry_logic.append(
            (df["RSI_3_4h"] > 35.0) | (df["AROONU_14_4h"] < 60.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0)
          )
          # 4h down move, 4h overbought
          long_entry_logic.append((df["RSI_3_4h"] > 60.0) | (df["ROC_9_4h"] < 40.0))
          # 1d down move, 4h & 1d downtrend
          long_entry_logic.append((df["RSI_3_1d"] > 10.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -20.0))
          # 15m down move, 1d high, 1d downtrend
          long_entry_logic.append((df["RSI_3_1d"] > 15.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1d"] > -40.0))
          # 1d down move, 1d high, 1d downtrend
          long_entry_logic.append((df["RSI_3_1d"] > 25.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] > -30.0))
          # 4h & 1d high, 4h overbought
          long_entry_logic.append((df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 20.0))
          # 4h high, 1h overbought
          long_entry_logic.append((df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1h"] < 40.0))
          # 4h high, 4h overbought
          long_entry_logic.append((df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 40.0))
          # 4h high, 1h overbought
          long_entry_logic.append((df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_1h"] < 40.0))
          # 4h high, 4h overbought
          long_entry_logic.append((df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_4h"] < 40.0))
          # 4h high, 4h overbought, 1d downtrend
          long_entry_logic.append(
            (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] > -20.0)
          )
          # 1d green, 4h down move, 4h still high
          long_entry_logic.append((df["change_pct_1d"] < 40.0) | (df["RSI_3_4h"] > 35.0) | (df["AROONU_14_4h"] < 40.0))
          # 4h top wick, 1h down move, 1h still high
          long_entry_logic.append(
            (df["top_wick_pct_4h"] < 20.0) | (df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1h"] < 50.0)
          )
          # pump, drop but not yet near the previous lows
          long_entry_logic.append(
            (((df["high_max_6_1d"] - df["low_min_6_1d"]) / df["low_min_6_1d"]) < 2.0)
            | (df["close"] > (df["high_max_12_4h"] * 0.50))
            | (df["close"] < (df["low_min_24_4h"] * 1.05))
          )
          # 1d overbought, drop but not yet near the previous lows
          long_entry_logic.append(
            (df["ROC_9_1d"] < 50.0)
            | (df["close"] > (df["high_max_6_1d"] * 0.70))
            | (df["close"] < (df["low_min_12_1d"] * 1.25))
          )
          # 1d overbought, drop but not yet near the previous lows
          long_entry_logic.append(
            (((df["high_max_12_1d"] - df["low_min_12_1d"]) / df["low_min_12_1d"]) < 2.5)
            | (df["close"] > (df["high_max_6_1d"] * 0.60))
            | (df["close"] < (df["low_min_12_1d"] * 1.25))
          )
          # big drop in the last 2 days, 1d down move
          long_entry_logic.append((df["close"] > (df["high_max_12_4h"] * 0.30)) | (df["RSI_3_1d"] > 30.0))
          # big drop in the last 12 days, 1h down move
          long_entry_logic.append((df["close"] > (df["high_max_12_1d"] * 0.30)) | (df["RSI_3_1h"] > 20.0))
          # big drop in the last 12 days, 4h still high
          long_entry_logic.append(
            (df["close"] > (df["high_max_12_1d"] * 0.40)) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
          )
          # big drop in the last 20 days, 1h down move
          long_entry_logic.append((df["close"] > (df["high_max_20_1d"] * 0.40)) | (df["RSI_3_1h"] > 10.0))
          # big drop in the last 20 days, 4h down move
          long_entry_logic.append((df["close"] > (df["high_max_20_1d"] * 0.10)) | (df["RSI_3_4h"] > 25.0))
          # big drop in the last 30 days, 4h down move
          long_entry_logic.append((df["close"] > (df["high_max_30_1d"] * 0.40)) | (df["RSI_3_4h"] > 15.0))
          # big drop in the last 30 days, 4h still not low enough
          long_entry_logic.append(
            (df["close"] > (df["high_max_30_1d"] * 0.25)) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
          )

          # Logic
          long_entry_logic.append(df["RSI_3"] < 40.0)
          long_entry_logic.append(df["RSI_3_15m"] < 50.0)
          long_entry_logic.append(df["WILLR_14_15m"] < -50.0)
          long_entry_logic.append(df["AROONU_14_15m"] < 25.0)
          long_entry_logic.append(df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
          long_entry_logic.append(df["WILLR_84_1h"] < -70.0)
          long_entry_logic.append(df["STOCHRSIk_14_14_3_3_1h"] < 20.0)
          long_entry_logic.append(df["BBB_20_2.0_1h"] > 12.0)
          long_entry_logic.append(df["close_max_48"] >= (df["close"] * 1.10))

        # Condition #61 - Rebuy mode (Long).
        if long_entry_condition_index == 61:
          # Protections
          long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288)
          long_entry_logic.append(df["protections_long_global"] == True)

          long_entry_logic.append(
            # 5m & 1h down move, 1h still not low enough
            ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 30.0))
            # 5m & 1h down move, 1d high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1d"] < 100.0))
            # 5m & 4h down move, 4h high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 70.0))
            # 5m down move, 1d high & overbought
            & ((df["RSI_3"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 20.0))
            # 15m & 1h & 4h down move
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 10.0))
            # 15m & 1h down move, 4h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 3.0) | (df["RSI_14_4h"] < 40.0))
            # 15m & 1h down move, 4h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 3.0) | (df["AROONU_14_4h"] < 40.0))
            # 15m & 1h down move, 4h still not low enough
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0))
            # 15m & 1h & 4h down move
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 3.0))
            # 15m & 1h down move, 1d still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_14_1d"] < 50.0))
            # 15m & 1h down move, 4h downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["CMF_20_4h"] > -0.30))
            # 15m & 1h down move, 1d still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0))
            # 15m & 1h down move, 1d overbought
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["ROC_9_1d"] < 40.0))
            # 15m & 1h down move, 1d overbought
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 20.0) | (df["ROC_9_1d"] < 50.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1d"] < 80.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1h"] < 80.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
            # 15m & 4h down move, 4h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 40.0) | (df["RSI_14_4h"] < 40.0))
            # 15m down move, 15m downtrend. 4h high
            & ((df["RSI_3_15m"] > 3.0) | (df["CMF_20_15m"] > -0.50) | (df["AROONU_14_4h"] < 60.0))
            # 15m down move, 15m still not low enough
            & ((df["RSI_3_15m"] > 3.0) | (df["AROONU_14_15m"] < 30.0))
            # 15m down move, 4h high
            & ((df["RSI_3_15m"] > 3.0) | (df["AROONU_14_4h"] < 80.0))
            # 15m down move, 4h & 1d downtrend
            & ((df["RSI_3_15m"] > 3.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -20.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
            # 15m & 4h down move, 1h downtrend
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1h"] > -20.0))
            # 15m & 4h down move, 1d overbought
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_1d"] < 70.0))
            # 15m & 4h down move, 1h high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
            # 15m down move, 15m still low, 4h still high
            & ((df["RSI_3_15m"] > 5.0) | (df["AROONU_14_15m"] < 20.0) | (df["AROONU_14_4h"] < 50.0))
            # 15m down move, 15m still high
            & ((df["RSI_3_15m"] > 5.0) | (df["AROONU_14_15m"] < 50.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0))
            # 15m & 1h down move, 4h downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["ROC_9_4h"] > -50.0))
            # 15m & 1h down move, 15m still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_15m"] < 50.0))
            # 15m & 1h down move, 4h overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 30.0) | (df["ROC_9_4h"] < 50.0))
            # 15m & 4h down move, 4h still not low enough
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 70.0))
            # 15m & 4h down move, 4h overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 55.0) | (df["ROC_9_4h"] < 50.0))
            # 15m down move, 15m still not low enough, 1d downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_15m"] < 30.0) | (df["ROC_9_1d"] > -30.0))
            # 15m down move, 15m still high, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_15m"] < 50.0) | (df["ROC_9_1d"] < 30.0))
            # 15m down move, 4h & 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_4h"] < 60.0) | (df["AROONU_14_1d"] < 100.0))
            # 15m down move, 1d high, 1d downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1d"] < 85.0) | (df["CMF_20_1d"] > -0.40))
            # 15m down move, 1h high & overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1h"] < 20.0))
            # 15m down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 15m down move, 4h & 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 40.0))
            # 15m & 1h down move, 15m high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 15.0) | (df["AROONU_14_15m"] < 60.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 80.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 80.0))
            # 15m down move, 15m still high, 1h high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_1h"] < 80.0))
            # 15m down move, 4h high, 4h downtrend
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_4h"] < 60.0) | (df["ROC_9_4h"] > -20.0))
            # 15m down move, 1d high, 4h overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_4h"] < 40.0))
            # 15m down move, 1h & 4h overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["ROC_9_1h"] < 20.0) | (df["ROC_9_4h"] < 40.0))
            # 15m down move, 4h & 1d downtrend
            & ((df["RSI_3_15m"] > 15.0) | (df["ROC_9_4h"] > -10.0) | (df["ROC_9_1d"] > -40.0))
            # 15m down move, 4h & 1d overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 60.0))
            # 15m & 1h down move, 15m high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_15m"] < 60.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 70.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 90.0))
            # 15m down move, 1h high
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1h"] < 90.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] < 20.0))
            # 15m down move, 1h high
            & ((df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
            # 15m down move, 4h high
            & ((df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0))
            # 15m down move, 1h high, 1d overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_1h"] < 100.0) | (df["ROC_9_1d"] < 20.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 50.0) | (df["AROONU_14_1h"] < 100.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 50.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m down move, 15m high, 4h high
            & ((df["RSI_3_15m"] > 30.0) | (df["AROONU_14_15m"] < 60.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 15m down move, 1h & 4h high
            & (
              (df["RSI_3_15m"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
            )
            # 1h & 4h down move, 4h still not low enough
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0))
            # 1h & 4h down move, 15m stil high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0))
            # 1h down move, 1h still not low enough
            & ((df["RSI_3_1h"] > 3.0) | (df["AROONU_14_1h"] < 20.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1d"] > -40.0))
            # 1h & 4h down move, 4h still not low enough
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 30.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_1d"] < 40.0))
            # 1h & 4h down move, 4h still not low enough
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0))
            # 1h down move, 4h high, 1d overbought
            & ((df["RSI_3_1h"] > 5.0) | (df["AROONU_14_4h"] < 60.0) | (df["ROC_9_1d"] < 10.0))
            # 1h down move, 1d high, 4h downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_4h"] > -30.0))
            # 1h down move, 1d high, 1d downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] > -20.0))
            # 1h & 4h down move, 1h still not low enough
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0))
            # 1h & 4h down move, 15m downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_15m"] > -15.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_14_4h"] < 40.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["ROC_9_1d"] < 80.0))
            # 1h down move, 15m still high, 4h high
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 10.0))
            # 1h down move, 4h still high, 4d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_1d"] > -50.0))
            # 1h down move, 4h downtrend, 1d overbought
            & ((df["RSI_3_1h"] > 10.0) | (df["ROC_9_4h"] > -10.0) | (df["ROC_9_1d"] < 40.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_4h"] < 80.0))
            # 1h down move, 1d downtrend, 1d high
            & ((df["RSI_3_1h"] > 15.0) | (df["CMF_20_1d"] > -0.30) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0))
            # 1h down move, 1h still high
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 50.0))
            # 1h down move, 4h high, 1d overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_4h"] < 60.0) | (df["ROC_9_1d"] < 50.0))
            # 1h down move, 4h & 1d high
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_4h"] < 70.0) | (df["AROONU_14_1d"] < 90.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["ROC_9_1d"] < 20.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 80.0))
            # 1h down move, 1h high, 4h overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] < 10.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 40.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 1h & 1d high
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_1d"] < 90.0))
            # 1h down move, 1h still high, 1d overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_1d"] < 40.0))
            # 1h down move, 4h high, 1d downtrend
            & ((df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1d"] > -40.0))
            # 1h & 4h down move, 1h high
            & ((df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 35.0) | (df["AROONU_14_1h"] < 75.0))
            # 1h down move, 1h high, 4h downtrend
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_4h"] > -40.0))
            # 1h down move, 1h still high, 1d overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_1d"] < 200.0))
            # 1h down move, 1h high, 4h downtrend
            & ((df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_4h"] > -20.0))
            # 1h down move, 4h & 1d overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 80.0))
            # 1h down move, 1h & 4h high
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 90.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 85.0) | (df["ROC_9_1d"] < 80.0))
            # 1h down move, 1h high, 4h downtrend
            & ((df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_4h"] > -20.0))
            # 1h down move, 1h high, 1h overbought
            & ((df["RSI_3_1h"] > 50.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1h"] < 25.0))
            # 1h down move, 4h high, 1d downtrend
            & ((df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0) | (df["ROC_9_1d"] > -60.0))
            # 1h down move, 4h & 1d overbought
            & ((df["RSI_3_1h"] > 60.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 60.0))
            # 4h & 1d down move, 15m still high
            & ((df["RSI_3_4h"] > 3.0) | (df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0))
            # 4h & 1d down move, 1h still not low enough
            & ((df["RSI_3_4h"] > 3.0) | (df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0))
            # 4h & 1d down move, 1d still not low enough
            & ((df["RSI_3_4h"] > 3.0) | (df["RSI_3_1d"] > 30.0) | (df["AROONU_14_1d"] < 30.0))
            # 4h down move, 1d high
            & ((df["RSI_3_4h"] > 3.0) | (df["AROONU_14_1d"] < 90.0))
            # 4h down move, 1h still high, 4h downtrend
            & ((df["RSI_3_4h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_4h"] > -30.0))
            # 4h down move, 1d high
            & ((df["RSI_3_4h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
            # 4h down move, 1h & 4h downtrend
            & ((df["RSI_3_4h"] > 3.0) | (df["ROC_9_1h"] > -30.0) | (df["ROC_9_4h"] > -30.0))
            # 4h down move, 1d overbought
            & ((df["RSI_3_4h"] > 3.0) | (df["ROC_9_1d"] < 40.0))
            # 4h & 1d down move, 1d still high
            & ((df["RSI_3_4h"] > 5.0) | (df["RSI_3_1d"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 40.0))
            # 4h down move, 4h downtrend, 4h still high
            & ((df["RSI_3_4h"] > 5.0) | (df["CMF_20_4h"] > -0.20) | (df["AROONU_14_4h"] < 40.0))
            # 4h & 1d down move, 1d downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 10.0) | (df["ROC_9_1d"] > -40.0))
            # 4h down move, 1h high, 1d downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0) | (df["ROC_9_1d"] > -40.0))
            # 4h & 1d down move, 1d high
            & ((df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 20.0) | (df["AROONU_14_1d"] < 60.0))
            # 4h down move, 4h high, 1h downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 60.0) | (df["ROC_9_1h"] > -20.0))
            # 4h down move, 4h & 1d high
            & ((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 70.0) | (df["AROONU_14_1d"] < 70.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 80.0))
            # 4h down move, 1h still not low enough, 1d downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] > -40.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] > -40.0))
            # 4h down move, 4h high, 1d overbought
            & ((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1d"] < 50.0))
            # 4h down move, 4h & 1d overbought
            & ((df["RSI_3_4h"] > 40.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 50.0))
            # 4h down move, 1h high, 1d overbought
            & ((df["RSI_3_4h"] > 45.0) | (df["AROONU_14_1h"] < 85.0) | (df["ROC_9_1d"] < 50.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 50.0) | (df["RSI_14_4h"] < 40.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 4h high & overbought
            & ((df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 10.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_1d"] > -30.0))
            # 1d down move, 1h still high, 1d downtrend
            & ((df["RSI_3_1d"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_1d"] > -30.0))
            # 1d down move, 1h high, 1d downtrend
            & ((df["RSI_3_1d"] > 10.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1d"] > -10.0))
            # 1d down move, 1d high, 1d downtrend
            & ((df["RSI_3_1d"] > 10.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1d"] > -40.0))
            # 1d down move, 1h high & overbought
            & ((df["RSI_3_1d"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1h"] < 10.0))
            # 1d downtrend, 1d high & overbought
            & ((df["CMF_20_1d"] > -0.30) | (df["AROONU_14_1d"] < 85.0) | (df["ROC_9_1d"] < 100.0))
            # 15m high, 1h high & overbought
            & ((df["AROONU_14_15m"] < 60.0) | (df["AROONU_14_1h"] < 85.0) | (df["ROC_9_1h"] < 10.0))
            # 1h high, 4h high, 1h overbought
            & ((df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1h"] < 20.0))
            # 1h & 1d high, 1h overbought
            & ((df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1h"] < 20.0))
            # 1h & 4h high, 1d downtrend
            & ((df["AROONU_14_1h"] < 85.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1d"] > -80.0))
            # 4h still high, 5m downtrend
            & ((df["AROONU_14_4h"] < 40.0) | (df["ROC_9"] > -40.0))
            # 4h high, 4h & 1d overbought
            & ((df["AROONU_14_4h"] < 60.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 60.0))
            # 4h & 1d high, 4h overbought
            & ((df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 30.0))
            # 4h & 1d high, 1d overbought
            & ((df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 50.0))
            # 4h high, 4h & 1d overbought
            & ((df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 20.0))
            # 1d high, 1h & 4h downtrend
            & ((df["AROONU_14_1d"] < 85.0) | (df["ROC_9_1h"] > -30.0) | (df["ROC_9_4h"] > -50.0))
            # 1d high, 1h & 1d overbought
            & ((df["AROONU_14_1d"] < 85.0) | (df["ROC_9_1h"] < 20.0) | (df["ROC_9_1d"] < 100.0))
            # 1d high, 4h & 1d overbought
            & ((df["AROONU_14_1d"] < 90.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 60.0))
            # 1h high, 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["ROC_9_1d"] < 40.0))
            # 4h high, 1h overbought, 1d downtrend
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1h"] < 40.0) | (df["ROC_9_1d"] > -70.0))
            # 4h high, 1h & 4h overbought
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_1h"] < 20.0) | (df["ROC_9_4h"] < 50.0))
            # 1h & 4h overbought
            & ((df["ROC_9_1h"] < 100.0) | (df["ROC_9_4h"] < 100.0))
            # big drop in the last 20 days, 1d high, 1d downtrend
            & (
              (df["close"] > (df["high_max_20_1d"] * 0.20))
              | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0)
              | (df["ROC_9_1d"] > -15.0)
            )
          )

          # Logic
          long_entry_logic.append(
            (df["RSI_3"] < 50.0)
            & (df["AROONU_14"] < 25.0)
            & (df["STOCHRSIk_14_14_3_3"] < 30.0)
            & (df["EMA_26"] > df["EMA_12"])
            & ((df["EMA_26"] - df["EMA_12"]) > (df["open"] * 0.030))
            & ((df["EMA_26"].shift() - df["EMA_12"].shift()) > (df["open"] / 100.0))
          )

        # Condition #62 - Rebuy mode (Long).
        if long_entry_condition_index == 62:
          # Protections
          long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288)
          long_entry_logic.append(df["protections_long_global"] == True)

          long_entry_logic.append(
            # 5m & 4h down move, 1d high
            ((df["RSI_3"] > 3.0) | (df["RSI_3_4h"] > 10.0) | (df["AROONU_14_1d"] < 90.0))
            # 5m & 1d down move, 15m still high
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0))
            # 5m & 4h down move, 15m still high
            & ((df["RSI_3"] > 5.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0))
            # 5m & 4h down move, 4h still not low enough
            & ((df["RSI_3"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0))
            # 15m & 1h down move, 1h still not low enough
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 20.0))
            # 15m & 1h down move, 4h still not low enough
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_14_4h"] < 30.0))
            # 15m & 1h down move, 4h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_14_4h"] < 50.0))
            # 15m & 1h down move, 4h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0))
            # 15m & 1h down move, 4h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 50.0))
            # 15m & 4h down move, 4h still not low enough
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 3.0) | (df["AROONU_14_4h"] < 20.0))
            # 15m & 4h down move, 4h still high
            & ((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 40.0))
            # 15m & 1h down move, 1h still not low enough
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0))
            # 15m & 1h down move, 15m still not low enough
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0))
            # 15m & 1h down move, 4h still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_4h"] < 40.0))
            # 15m & 4h down move, 15m still not low enough
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0))
            # 15m & 4h down move, 1h downtrend
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1h"] > -20.0))
            # 15m & 4h down move, 1d overbought
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1d"] < 20.0))
            # 15m & 4h down move, 4h still high
            & ((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_14_4h"] < 40.0))
            # 15m & 1h down move, 4h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0))
            # 15m & 1h down move, 1d downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["ROC_9_1d"] > -20.0))
            # 15m & 1h down move, 15m high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_15m"] < 70.0))
            # 15m & 1h down move, 1h still not low enough
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 30.0))
            # 15m & 1h down move, 1h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 40.0))
            # 15m & 1h down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1d"] < 100.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["AROONU_14_4h"] < 60.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 35.0) | (df["AROONU_14_4h"] < 90.0))
            # 15m & 4h down move, 15m still not low enough
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_15m"] < 20.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
            # 15m & 4h down move, 4h still not low enough
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0))
            # 15m & 4h down move, 4h downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 25.0) | (df["CMF_20_4h"] > -0.30))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
            # 15m & 4h down move, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 40.0) | (df["ROC_9_1d"] < 200.0))
            # 15m & 1d down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1d"] > 20.0) | (df["AROONU_14_1d"] < 75.0))
            # 15m down move, 4h high, 1d downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] > -25.0))
            # 15m & 1h down move, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 15.0) | (df["AROONU_14_4h"] < 75.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 60.0))
            # 15m & 4h down move, 4h still high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0))
            # 15m down move, 15m downtrend, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["CMF_20_15m"] > -0.30) | (df["AROONU_14_4h"] < 50.0))
            # 15m down move, 15m still high, 4h overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 40.0) | (df["ROC_9_4h"] < 40.0))
            # 15m down move, 4h & 1d high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0))
            # 15m down move, 1h & 4h high
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m down move, 15m still not low enough, 1d overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["ROC_9_1d"] < 80.0))
            # 15m & 4h down move, 15m stil high
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0))
            # 15m down move, 15m still not low enough, 1d downtrend
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 25.0) | (df["ROC_9_1d"] > -50.0))
            # 15m down move, 15m still high, 4h high
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_4h"] < 80.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 50.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 30.0) | (df["RSI_3_4h"] > 35.0) | (df["AROONU_14_4h"] < 70.0))
            # 15m down move, 15m still high, 4h high
            & ((df["RSI_3_15m"] > 35.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_4h"] < 80.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 70.0))
            # 1h down move, 15m still not low enough
            & ((df["RSI_3_1h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0))
            # 1h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_1h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_1d"] > -20.0))
            # 1h & 4h down move, 15m still not low enough
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0))
            # 1h & 4h down move, 4h still not low enough
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0))
            # 1h & 4h down move, 4h still not low enough
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["AROONU_14_4h"] < 20.0))
            # 1h & 4h down move, 4h downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_4h"] > -30.0))
            # 1h & 4h down move, 4h still not low enough
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_14_4h"] < 30.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 40.0))
            # 1h & 4h & 1d down move
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 15.0))
            # 1h & 4h down move, 15m high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 60.0))
            # 1h & 4h down move, 4h still not low enough
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["AROONU_14_4h"] < 30.0))
            # 1h & 4h down move, 1h downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1h"] > -20.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1d"] > -20.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1d"] < 10.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 40.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 60.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0))
            # 1h & 4h down move, 1h still not low enough
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 35.0) | (df["AROONU_14_1h"] < 30.0))
            # 1h& 1d down move, 1h still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 25.0) | (df["AROONU_14_1h"] < 40.0))
            # 1h & 1d down move, 1d high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 60.0) | (df["AROONU_14_1d"] < 80.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_14_1d"] < 60.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 40.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 45.0) | (df["ROC_9_1d"] > -40.0))
            # 1h & 1d down move, 4h high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 1h down move, 4h high, 1d overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 1d high, 4h downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_4h"] > -20.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 1h & 4h down move, 4h overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 40.0) | (df["ROC_9_4h"] < 10.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 45.0) | (df["AROONU_14_1d"] < 100.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 1h down move, 1h high
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 70.0))
            # 1h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_4h"] < 40.0) | (df["ROC_9_1d"] > -20.0))
            # 1h down move, 4h high
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_4h"] < 85.0))
            # 1h down move, 1h still not low enough, 4h stil high
            & ((df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["AROONU_14_4h"] < 40.0))
            # 1h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["ROC_9_1d"] > -40.0))
            # 1h down move, 1d high, 4h downtrend
            & ((df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["ROC_9_4h"] > -20.0))
            # 1h down move, 4h high
            & ((df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 1h & 4h down move, 1h still not low enough
            & ((df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 25.0) | (df["ROC_9_1d"] < 50.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 60.0))
            # 1h down move, 4h & 1d high
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 60.0) | (df["AROONU_14_1d"] < 100.0))
            # 1h down move, 4h high, 4h downtrend
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 70.0) | (df["CMF_20_4h"] > -0.50))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] < 10.0))
            # 1h down move, 15m still high, 1d overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["ROC_9_1d"] < 30.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 30.0) | (df["ROC_9_1d"] < 100.0))
            # 1h & dh down move, 4h high
            & ((df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 85.0))
            # 1h down move, 4h & 1d downtrend
            & ((df["RSI_3_1h"] > 30.0) | (df["ROC_9_4h"] > -25.0) | (df["ROC_9_1d"] > -60.0))
            # 1h down move, 4h & 1h overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 40.0))
            # 1h down move, 4h high, 4h downtrend
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 70.0) | (df["CMF_20_4h"] > -0.40))
            # 1h down move, 1d high, 4h downtrend
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_4h"] > -30.0))
            # 1h down move, 1d high, 4h overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 20.0))
            # 1h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["ROC_9_1d"] > -80.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_4h"] < 20.0))
            # 1h down move, 4h & 1d overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 30.0))
            # 1h & 4h down move, 1h still high
            & ((df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 35.0) | (df["AROONU_14_1h"] < 50.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_4h"] < 80.0))
            # 1h down move, 1h & 4h high
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 100.0))
            # 1h down move, 1d high, 4h overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_4h"] < 40.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_4h"] < 30.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 45.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 100.0))
            # 1h down move, 1h overbought
            & ((df["RSI_3_1h"] > 50.0) | (df["ROC_9_1h"] < 40.0))
            # 1h down move, 4h & 1d overbought
            & ((df["RSI_3_1h"] > 60.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 100.0))
            # 4h & 1d down move, 1d still high
            & ((df["RSI_3_4h"] > 5.0) | (df["RSI_3_1d"] > 20.0) | (df["AROONU_14_1d"] < 40.0))
            # 4h & 1d down move, 4h still not low enough
            & ((df["RSI_3_4h"] > 5.0) | (df["RSI_3_1d"] > 30.0) | (df["AROONU_14_4h"] < 20.0))
            # 4h & 1d down move, 1d high
            & ((df["RSI_3_4h"] > 5.0) | (df["RSI_3_1d"] > 30.0) | (df["AROONU_14_1d"] < 70.0))
            # 4h down move, 1h high, 4h downtrend
            & ((df["RSI_3_4h"] > 5.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] > -20.0))
            # 4h down move, 4h high
            & ((df["RSI_3_4h"] > 5.0) | (df["AROONU_14_4h"] < 60.0))
            # 4h & 1d down move, 1d still not low enough
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 15.0) | (df["AROONU_14_1d"] < 30.0))
            # 4h down move, 15m still high
            & ((df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0))
            # 4h down move, 1d still high, 1d downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["RSI_14_1d"] < 40.0) | (df["ROC_9_1d"] > -15.0))
            # 4h down move, 1h downtrend, 1d downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["CMF_20_1h"] > -0.40) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 15m high, 1d overbought
            & ((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_15m"] < 70.0) | (df["ROC_9_1d"] < 100.0))
            # 4h down move, 4h still high, 4h downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 40.0) | (df["ROC_9_4h"] > -20.0))
            # 4h down move, 15m still not low enough, 1d downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 20.0))
            # 4h & 1d down move, 1d overbought
            & ((df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 45.0) | (df["ROC_9_1d"] < 40.0))
            # 4h down move, 15m high, 4h downtrend
            & ((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_15m"] < 70.0) | (df["ROC_9_4h"] > -30.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 30.0))
            # 4h & 1d down move, 1d overbought
            & ((df["RSI_3_4h"] > 25.0) | (df["RSI_3_1d"] > 45.0) | (df["ROC_9_1d"] < 10.0))
            # 4h down move, 15m high, 4h high
            & ((df["RSI_3_4h"] > 25.0) | (df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_4h"] < 80.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 40.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 4h still high, 4h downtrend
            & ((df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 50.0) | (df["CMF_20_4h"] > -0.40))
            # 4h down move, 4h high, 1d high
            & ((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0))
            # 4h down move, 1d still high, 1d downtrend
            & ((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_1d"] < 40.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 20.0))
            # 4h down move, 4h still not low enough, 1d overbought
            & ((df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0) | (df["ROC_9_1d"] < 40.0))
            # 4h down move, 1h high
            & ((df["RSI_3_4h"] > 35.0) | (df["AROONU_14_1h"] < 70.0))
            # 4h down move, 15m & 4h still high
            & (
              (df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
            )
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 200.0))
            # 4h down move, 4h high
            & ((df["RSI_3_4h"] > 40.0) | (df["AROONU_14_4h"] < 100.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 50.0) | (df["RSI_14_4h"] < 40.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 4h overbought
            & ((df["RSI_3_4h"] > 55.0) | (df["ROC_9_4h"] < 30.0))
            # 4h down move, 4h overbought
            & ((df["RSI_3_4h"] > 60.0) | (df["ROC_9_4h"] < 40.0))
            # 1d down move, 4h & 1d downtrend
            & ((df["RSI_3_1d"] > 10.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -30.0))
            # 1d down move, 1d high, 1d downtrend
            & ((df["RSI_3_1d"] > 15.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1d"] > -20.0))
            # 1d down move, 4h & 1d downtrend
            & ((df["RSI_3_1d"] > 15.0) | (df["ROC_9_4h"] > -10.0) | (df["ROC_9_1d"] > -40.0))
            # 4h & 1d downtrend, 1d high
            & ((df["CMF_20_4h"] > -0.50) | (df["CMF_20_1d"] > -0.50) | (df["AROONU_14_1d"] < 85.0))
            # 4h still not low enough, 4h & 1d downtrend
            & ((df["AROONU_14_4h"] < 30.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -25.0))
            # 4h & 1d high, 4h overbought
            & ((df["AROONU_14_4h"] < 70.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 30.0))
            # 4h & 1d high, 1d overbought
            & ((df["AROONU_14_4h"] < 70.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 80.0))
            # 4h high, 1h & 4h overbought
            & ((df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1h"] < 40.0) | (df["ROC_9_4h"] < 40.0))
            # 1d high, 4h downtrend, 1d overbought
            & ((df["AROONU_14_1d"] < 85.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] < 200.0))
            # 1d high, 4h & 1d overbought
            & ((df["AROONU_14_1d"] < 90.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 60.0))
            # 4h high, 1h & 4h overbought
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_1h"] < 40.0) | (df["ROC_9_4h"] < 40.0))
            # 4h high, 4h & 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 20.0))
            # 1d green, 4h down move, 4h still high
            & ((df["change_pct_1d"] < 40.0) | (df["RSI_3_4h"] > 35.0) | (df["AROONU_14_4h"] < 40.0))
          )

          # Logic
          long_entry_logic.append(
            (df["RSI_3"] < 40.0)
            & (df["AROONU_14"] < 30.0)
            & (df["STOCHRSIk_14_14_3_3"] < 20.0)
            & (df["STOCHRSIk_14_14_3_3_15m"] < 70.0)
            & (df["WILLR_84_1h"] < -70.0)
            & (df["STOCHRSIk_14_14_3_3_1h"] < 30.0)
            & (df["BBB_20_2.0_1h"] > 12.0)
            & (df["close_max_48"] >= (df["close"] * 1.10))
          )

        # Condition #63 - Rebuy mode (Long).
        if long_entry_condition_index == 63:
          # Protections
          long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288)
          long_entry_logic.append(df["protections_long_global"] == True)

          long_entry_logic.append(
            (df["RSI_3_15m"] > 5.0)
            # 5m & 1h down move, 1h still not low enough
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1h"] < 30.0))
            # 5m & 1d down move, 1d downtrend
            & ((df["RSI_3"] > 3.0) | (df["RSI_3_1d"] > 15.0) | (df["CMF_20_1d"] > -0.25))
            # 5m down move, 1d high & overbought
            & ((df["RSI_3"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 20.0))
            # 15m & 1h down move, 1h still not low enough
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0))
            # 15m & 1h down move, 4h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
            # 15m & 1h down move 1h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 15m & 1h down move, 15m still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_15m"] < 50.0))
            # 15m & 1h down move 1h still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 15m & 1h down move, 4h overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 30.0) | (df["ROC_9_4h"] < 10.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0))
            # 15m & 4h down move, 4h still not low enough
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0))
            # 15m & 4h down move, 4h still not low enough
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0))
            # 15m & 4h down move, 1d downtrend
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_1d"] > -20.0))
            # 1h & 4h down move, 15m still high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_15m"] < 50.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 15m & 1d down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1d"] > 10.0) | (df["AROONU_14_1d"] < 70.0))
            # 15m & 1d down move, 1d high
            & ((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1d"] > 20.0) | (df["AROONU_14_1d"] < 75.0))
            # 15m down move, 15m still high, 4h high
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_4h"] < 80.0))
            # 15m down move, 1h still high, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1h"] < 50.0) | (df["ROC_9_1d"] < 60.0))
            # 15m down move, 4h high, 1d overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_4h"] < 60.0) | (df["ROC_9_1d"] < 60.0))
            # 15m down move, 1d high & overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1d"] < 20.0))
            # 15m down move, 1d high, 4h overbought
            & ((df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_4h"] < 10.0))
            # 15m & 1h & 4h down move
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 70.0))
            # 15m & 4h down move, 15m still high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_15m"] < 40.0))
            # 15m & 4h down move, 1d high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
            # 15m & 4h down move, 15m high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 35.0) | (df["AROONU_14_15m"] < 60.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 35.0) | (df["AROONU_14_4h"] < 60.0))
            # 15m & 1d down move, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1d"] > 25.0) | (df["AROONU_14_4h"] < 100.0))
            # 15m down move, 15m still high, 4h high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 15m down move, 4h high, 4h downtrend
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_4h"] < 60.0) | (df["ROC_9_4h"] > -20.0))
            # 15m down move, 4h & 1d high
            & ((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_4h"] < 75.0) | (df["AROONU_14_1d"] < 100.0))
            # 15m down move, 15m still not low enough, 1h still high
            & (
              (df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
            )
            # 15m down move, 4h & 1d overbought
            & ((df["RSI_3_15m"] > 15.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 60.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 20.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 85.0))
            # 15m down move, 1h high
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1h"] < 75.0))
            # 15m down move, 1d high & overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1d"] < 80.0))
            # 15m down move, 15m high, 4h downtrend
            & ((df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 60.0) | (df["ROC_9_4h"] > -50.0))
            # 15m down move, 4h overbought
            & ((df["RSI_3_15m"] > 20.0) | (df["ROC_9_4h"] < 40.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 70.0))
            # 15m & 1h down move, 1d overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 40.0) | (df["ROC_9_1d"] < 80.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 25.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0))
            # 15m down move, 1d high, 4h overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_4h"] < 10.0))
            # 15m down move, 4h & 1d overbought
            & ((df["RSI_3_15m"] > 25.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 50.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 80.0))
            # 15m & 1h down move, 1h high
            & ((df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
            # 15m down move, 15m downtrend, 4h high
            & ((df["RSI_3_15m"] > 30.0) | (df["CMF_20_15m"] > -0.30) | (df["AROONU_14_4h"] < 100.0))
            # 15m down move, 15m still high, 1d high
            & ((df["RSI_3_15m"] > 30.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0))
            # 15m down move, 15m high, 4h high
            & ((df["RSI_3_15m"] > 30.0) | (df["AROONU_14_15m"] < 60.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 15m down move, 4h high, 1h downtrend
            & ((df["RSI_3_15m"] < 30.0) | (df["AROONU_14_4h"] < 85.0) | (df["ROC_9_1h"] > -40.0))
            # 15m down move, 4h high
            & ((df["RSI_3_15m"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0))
            # 15m & 1h down move, 15m high
            & ((df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 45.0) | (df["AROONU_14_15m"] < 70.0))
            # 15m & 4h down move, 4h high
            & ((df["RSI_3_15m"] > 35.0) | (df["RSI_3_4h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
            # 15m down move, 15m still high, 4h overbought
            & ((df["RSI_3_15m"] > 35.0) | (df["AROONU_14_15m"] < 40.0) | (df["ROC_9_4h"] < 20.0))
            # 15m down move, 15m still high, 1d overbought
            & ((df["RSI_3_15m"] > 35.0) | (df["AROONU_14_15m"] < 40.0) | (df["ROC_9_1d"] < 30.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 35.0) | (df["AROONU_14_4h"] < 60.0) | (df["ROC_9_4h"] < 20.0))
            # 15m down move, 4h high & overbought
            & ((df["RSI_3_15m"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_4h"] < 20.0))
            # 15m still high, 4h high
            & ((df["RSI_3_15m"] < 40.0) | (df["AROONU_14_4h"] < 85.0))
            # 1h & 4h down move, 4h still not low enough
            & ((df["RSI_3_1h"] > 2.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_14_4h"] < 30.0))
            # 1h & 4h down move, 15m still not low enough
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0))
            # 1h & 4h down move, 15m downtrend
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 3.0) | (df["ROC_9_15m"] > -30.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0))
            # 1h & 4h down move, 4h stil high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_14_4h"] < 40.0))
            # 1h ^ 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 25.0) | (df["ROC_9_1d"] > -50.0))
            # 1h & 1d down move, 4h still high
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_1d"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0))
            # 1h & 1d down move, 1h downtrend
            & ((df["RSI_3_1h"] > 3.0) | (df["RSI_3_1d"] > 15.0) | (df["ROC_9_1h"] > -40.0))
            # 1h down move, 15m downtrend, 1h still high
            & ((df["RSI_3_1h"] > 3.0) | (df["CMF_20_15m"] > -0.40) | (df["AROONU_14_1h"] < 40.0))
            # 1h down move, 15m still not low enough, 4h still high
            & ((df["RSI_3_1h"] > 3.0) | (df["AROONU_14_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0))
            # 1h down move, 1h still not low enough
            & ((df["RSI_3_1h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0))
            # 1h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_1h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_1d"] > -20.0))
            # 1h down move, 4h high
            & ((df["RSI_3_1h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 60.0))
            # 1h & 4h down move, 4h still not low enough
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["AROONU_14_4h"] < 20.0))
            # 1h & 4h down move, 4h downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_4h"] > -20.0))
            # 1h & 4h down move, 4h still not low enough
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 30.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 35.0) | (df["RSI_14_4h"] < 40.0))
            # 1h down move, 1d high, 4h downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_4h"] > -30.0))
            # 1h down move, 4h downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["ROC_9_4h"] > -20.0))
            # 1h, 1d downtrend
            & ((df["RSI_3_1h"] > 5.0) | (df["ROC_9_1d"] > -50.0))
            # 1h & 4h down move, 4h still not low enough
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_14_4h"] < 30.0))
            # 1h & 4h down move, 4h still not low enough
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["AROONU_14_4h"] < 30.0))
            # 1h & 4h down move, 15m still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0))
            # 1h & 4h down move, 15m still not low enough
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_15m"] < 30.0))
            # 1h & 4h down move, 1h still not low enough
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_1d"] < 80.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 25.0) | (df["ROC_9_1d"] > -40.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 35.0) | (df["ROC_9_1d"] < 70.0))
            # 1h & 1d down move, 1h still high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 1h & 1d down move, 4h high
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
            # 1h & 1d downtrend, 1d overbought
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 45.0) | (df["ROC_9_1d"] < 10.0))
            # 1h down move, 1h downtrend, 1h still not low enough
            & ((df["RSI_3_1h"] > 10.0) | (df["CMF_20_1h"] > -0.20) | (df["AROONU_14_1h"] < 30.0))
            # 1h down move, 1h downtrend, 1h still not low enough
            & ((df["RSI_3_1h"] > 10.0) | (df["CMF_20_1h"] > -0.20) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0))
            # 1h down move, 1h downtrend
            & ((df["RSI_3_1h"] > 10.0) | (df["CMF_20_1h"] > -0.30))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1d"] < 50.0))
            # 1h & 4h down move, 4h still not low enough
            & ((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0))
            # 1h down move, 1d overbought
            & ((df["RSI_3_1h"] > 10.0) | (df["ROC_9_1d"] < 200.0))
            # 1h & 4h down move, 1h still not low enough
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0))
            # 1h & 4h down move, 15m high
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 90.0))
            # 1h & 4h down move, 1d downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["ROC_9_1d"] > -40.0))
            # 1h & 4h down mov, 1d overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 30.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 1d downtrend, 1d high
            & ((df["RSI_3_1h"] > 15.0) | (df["CMF_20_1d"] > -0.30) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0))
            # 1h down move, 1h still high
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 50.0))
            # 1h down move, 1d high, 4h downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_4h"] > -20.0))
            # 1h down move, 1d high, 1d downtrend
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1d"] > -20.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1d"] < 30.0))
            # 1h down move, 1h still high
            & ((df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0))
            # 1h & 4h down move, 1d high
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_1d"] < 80.0))
            # 1h & 4h down move, 1h high
            & ((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 45.0) | (df["AROONU_14_1h"] < 60.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 4h still high
            & ((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_4h"] < 40.0))
            # 1h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["ROC_9_1d"] > -25.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_4h"] < 10.0))
            # 1h down move, 1h & 1d high
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_1d"] < 90.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 85.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 50.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 1h still not low enough, 4h still high
            & ((df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
            # 1h down move, 4h high, 1d downtrend
            & ((df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1d"] > -40.0))
            # 1h down move, 1h still high, 1h downtrend
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 40.0) | (df["ROC_9_1h"] > -50.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_4h"] < 20.0))
            # 1h down move, 1h still high, 1d overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_1d"] < 40.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 20.0))
            # 1h down move, 4h high, 1d overbought
            & ((df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1d"] < 70.0))
            # 1h & 4h down move, 1h high
            & ((df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0))
            # 1h & 4h down move, 4h still high
            & ((df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 50.0))
            # 1h & 4h down move, 1h high
            & ((df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_1h"] < 70.0))
            # 1h & 4h down move, 4h high
            & ((df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 90.0))
            # 1h down move, 1h high, 4h overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] < 30.0))
            # 1h down move, 1h high
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 80.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_4h"] < 20.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 200.0))
            # 1h down move, 1d high, 4h downtrend
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_4h"] > -40.0))
            # 1h down move, 1d high, 4h overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 80.0))
            # 1h down move, 1h & 4h still high
            & ((df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0))
            # 1h down move, 1h highm 1d overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0) | (df["ROC_9_1d"] < 30.0))
            # 1h down move, 4h overbought
            & ((df["RSI_3_1h"] > 30.0) | (df["ROC_9_4h"] < 50.0))
            # 4h down move, 1d downtrend
            & ((df["RSI_3_4h"] > 30.0) | (df["ROC_9_1d"] > -50.0))
            # 1h down move, 1h high, 4h overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] < 40.0))
            # 1h down move, 1h high, 1d downtrend
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] > -25.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_4h"] < 85.0) | (df["ROC_9_4h"] < 100.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 20.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_4h"] < 10.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 100.0))
            # 1h down move, 1h still high, 1d overbought
            & ((df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_1d"] < 200.0))
            # 1h down move, 1d high & overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["RSI_14_1d"] < 80.0) | (df["ROC_9_1d"] < 150.0))
            # 1h down move, 15m high, 1h high
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_15m"] < 60.0) | (df["AROONU_14_1h"] < 70.0))
            # 1h down move, 1h high, 1d overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1d"] < 80.0))
            # 1h down move, 1h & 4h overbought
            & ((df["RSI_3_1h"] > 40.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_4h"] < 10.0))
            # 1h & 4h down move, 1d overbought
            & ((df["RSI_3_1h"] > 45.0) | (df["RSI_3_4h"] > 65.0) | (df["ROC_9_1d"] < 200.0))
            # 1h down move, 1h high & overbought
            & ((df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1h"] < 10.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 45.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 40.0))
            # 1h down move, 1h high, 1d downtrend
            & ((df["RSI_3_1h"] > 50.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_1d"] > -30.0))
            # 1h down move, 4h high & overbought
            & ((df["RSI_3_1h"] > 50.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 100.0))
            # 1h down move, 4h high, 1d downtrend
            & ((df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0) | (df["ROC_9_1d"] > -60.0))
            # 1h down move, 15m high, 1h high
            & ((df["RSI_3_1h"] > 55.0) | (df["AROONU_14_15m"] < 60.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
            # 1h down move, 1h high & overbought
            & ((df["RSI_3_1h"] > 55.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_1h"] < 10.0))
            # 4h down move, 1h still not low enough, 4h downtrend
            & ((df["RSI_3_4h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["ROC_9_4h"] > -30.0))
            # 4h down move, 1h & 4h downtrend
            & ((df["RSI_3_4h"] > 3.0) | (df["ROC_9_1h"] > -30.0) | (df["ROC_9_4h"] > -30.0))
            # 4h down move, 1d high, 4h downtrend
            & ((df["RSI_3_4h"] > 5.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_4h"] > -10.0))
            # 4h down move, 1h still high
            & ((df["RSI_3_4h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
            # 4h down move, 4h & 1d downtrend
            & ((df["RSI_3_4h"] > 5.0) | (df["ROC_9_4h"] > -15.0) | (df["ROC_9_1d"] > -20.0))
            # 4h & 1d down move, 1d overbought
            & ((df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 45.0) | (df["ROC_9_1d"] < 10.0))
            # 4h down move, 1d still high, 1d downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["AROONU_14_1d"] < 50.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 1d high, 4h downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["AROONU_14_1d"] < 85.0) | (df["ROC_9_4h"] > -20.0))
            # 4h down move, 15m high, 15m downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 60.0) | (df["ROC_9_15m"] > -10.0))
            # 4h down move, 1h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 1h high
            & ((df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 4h downtrend, 1d overbought
            & ((df["RSI_3_4h"] > 10.0) | (df["ROC_9_4h"] > -30.0) | (df["ROC_9_1d"] < 40.0))
            # 4h & 1d down move, 1d high
            & ((df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 20.0) | (df["AROONU_14_1d"] < 60.0))
            # 4h & 1d down move, 1d high
            & ((df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 40.0) | (df["AROONU_14_1d"] < 80.0))
            # 4h down move, 1h high
            & ((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1h"] < 50.0))
            # 4h down move, 1h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 20.0))
            # 4h down move, 15m still high
            & ((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_15m"] < 45.0))
            # 4h down move, 1h still not low enough, 1d downtrend
            & ((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1h"] < 30.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 4h still high, 1d high
            & ((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 50.0) | (df["AROONU_14_1d"] < 100.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 80.0))
            # 4h down move, 15m still high, 4h high
            & ((df["RSI_3_4h"] > 25.0) | (df["AROONU_14_15m"] < 40.0) | (df["AROONU_14_4h"] < 70.0))
            # 4h down move, 1h & 4h still high
            & ((df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0))
            # 4h dowqn move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 4h high, 1d overbought
            & ((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1d"] < 50.0))
            # 4h down move, 1h high, 4h downtrend
            & ((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] > -10.0))
            # 4h down move, 4h & 1d downtrend
            & ((df["RSI_3_4h"] > 40.0) | (df["AROONU_14_4h"] < 70.0) | (df["AROONU_14_1d"] < 100.0))
            # 4h down move, 1d high & overbought
            & ((df["RSI_3_4h"] > 40.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1d"] < 80.0))
            # 4h down move, 1h high, 1d downtrend
            & ((df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1d"] > -20.0))
            # 4h down move, 4h & 1d overbought
            & ((df["RSI_3_4h"] > 40.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 50.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 50.0) | (df["RSI_14_4h"] < 40.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 4h high, 1d overbought
            & ((df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] < 40.0))
            # 4h down move, 4h still high, 1d downtrend
            & ((df["RSI_3_4h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_1d"] > -30.0))
            # 4h down move, 1h high, 1d overbought
            & ((df["RSI_3_4h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1d"] < 30.0))
            # 4h down move, 4h high & overbought
            & ((df["RSI_3_4h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_4h"] < 20.0))
            # 1d down move, 1h high & overbought
            & ((df["RSI_3_1d"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1h"] < 10.0))
            # 1d down move, 1h high & overbought
            & ((df["RSI_3_1d"] > 40.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1d"] < 80.0))
            # 1d down move, 4h high & overbought
            & ((df["RSI_3_1d"] > 45.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 30.0))
            # 1h downtrend, 1h high
            & ((df["CMF_20_1h"] > -0.20) | (df["AROONU_14_1h"] < 80.0))
            # 4h & 1d downtrend, 1d high
            & ((df["CMF_20_4h"] > -0.30) | (df["CMF_20_1d"] > -0.30) | (df["STOCHRSIk_14_14_3_3_1d"] < 60.0))
            # 1d downtrend, 1d high & overbought
            & ((df["CMF_20_1d"] > -0.30) | (df["AROONU_14_1d"] < 85.0) | (df["ROC_9_1d"] < 100.0))
            # 1d downtrend, 1d high & overbought
            & ((df["CMF_20_1d"] > -0.40) | (df["AROONU_14_1d"] < 85.0) | (df["ROC_9_1d"] < 20.0))
            # 15m still high, 1h overbought
            & ((df["AROONU_14_15m"] < 40.0) | (df["ROC_9_1h"] < 40.0))
            # 15m still high, 4h overbought
            & ((df["AROONU_14_15m"] < 40.0) | (df["ROC_9_4h"] < 80.0))
            # 15m still high, 1h high
            & ((df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_1h"] < 85.0))
            # 15m still high, 4h high & overbought
            & ((df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] < 30.0))
            # 15m still high, 4h downtrend, 1d overbought
            & ((df["AROONU_14_15m"] < 50.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] < 40.0))
            # 1h still high, 4h & 1d downtrend
            & ((df["AROONU_14_1h"] < 40.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -40.0))
            # 1h high, 4h high, 1h overbought
            & ((df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1h"] < 20.0))
            # 1h & 4h high, 4h overbought
            & ((df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 40.0))
            # 1h & 1d high, 1h overbought
            & ((df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1h"] < 20.0))
            # 1h high, 1h & 4h overbought
            & ((df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_4h"] < 40.0))
            # 1h high, 1d downtrend
            & ((df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1d"] > -40.0))
            # 4h still not low enough, 4h & 1d downtrend
            & ((df["AROONU_14_4h"] < 30.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -25.0))
            # 4h still high, 1d high, 4h downtrend
            & ((df["AROONU_14_4h"] < 50.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] > -30.0))
            # 4h high, 1h & 1d downtrend
            & ((df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1h"] > -20.0) | (df["ROC_9_1d"] > -20.0))
            # 4h & 1d high, 1d overbought
            & ((df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 50.0))
            # 4h & 1d high, 4h overbought
            & ((df["AROONU_14_4h"] < 100.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 10.0))
            # 4h high, 1h & 4h overbought
            & ((df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_4h"] < 40.0))
            # 1d high, 4h & 1d downtrend
            & ((df["AROONU_14_1d"] < 80.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -20.0))
            # 1d high, 1h & 4h downtrend
            & ((df["AROONU_14_1d"] < 85.0) | (df["ROC_9_1h"] > -30.0) | (df["ROC_9_4h"] > -50.0))
            # 1d high, 1h & 1d overbought
            & ((df["AROONU_14_1d"] < 85.0) | (df["ROC_9_1h"] < 20.0) | (df["ROC_9_1d"] < 100.0))
            # 1d high, 1h & 4h down move
            & ((df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1h"] < 25.0) | (df["ROC_9_4h"] < 60.0))
            # 1d high, 4h & 1d overbought
            & ((df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 30.0))
            # 1h high, 4h & 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 100.0))
            # 4h still high, 4h & 1d downtrend
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -40.0))
            # 4h high, 1h & 1d downtrend
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_1h"] > -20.0) | (df["ROC_9_1d"] > -20.0))
            # 4h high, 4h & 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 30.0))
            # 4h high, 1h overbought, 1d downtrend
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1h"] < 40.0) | (df["ROC_9_1d"] > -70.0))
            # 4h high, 4h overbought
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 10.0))
            # 4h high, 1h & 4h overbought
            & ((df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_1h"] < 20.0) | (df["ROC_9_4h"] < 50.0))
            # 1d high, 4h & 1d overbought
            & ((df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_4h"] < 40.0) | (df["ROC_9_1d"] < 100.0))
            # 1h & 4h overbought
            & ((df["ROC_9_1h"] < 30.0) | (df["ROC_9_4h"] < 80.0))
            # 1d green with top wick, 4h high
            & ((df["change_pct_1d"] < 30.0) | (df["top_wick_pct_1d"] < 20.0) | (df["AROONU_14_4h"] < 80.0))
            # 1d top wick, 4h down move, 1d overbought
            & ((df["top_wick_pct_1d"] < 50.0) | (df["RSI_3_4h"] > 35.0) | (df["ROC_9_1d"] < 60.0))
            # drop in last 20 days, 4h high
            & ((df["close"] > (df["high_max_20_1d"] * 0.10)) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0))
            # drop in last 20 days, 1h high, 1d downtrend
            & ((df["close"] > (df["high_max_20_1d"] * 0.20)) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] > -70.0))
            # drop in last 20 days, 1d high, 1d downtrend
            & (
              (df["close"] > (df["high_max_20_1d"] * 0.20))
              | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0)
              | (df["ROC_9_1d"] > -15.0)
            )
          )

          # Logic
          long_entry_logic.append(
            (df["RSI_3"] > 0.0)
            & (df["RSI_3"] < 50.0)
            & (df["AROONU_14"] < 25.0)
            & (df["EMA_26"] > df["EMA_12"])
            & ((df["EMA_26"] - df["EMA_12"]) > (df["open"] * 0.022))
            & ((df["EMA_26"].shift() - df["EMA_12"].shift()) > (df["open"] / 100.0))
          )

        # Condition #101 - Rapid mode (Long).
        if long_entry_condition_index == 101:
          # Protections
          long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288)
          long_entry_logic.append(df["protections_long_global"] == True)

          long_entry_logic.append(df["RSI_14_1h"] < 80.0)
          long_entry_logic.append(df["RSI_14_4h"] < 80.0)
          long_entry_logic.append(df["RSI_14_1d"] < 80.0)
          # big drop in the last hour
          long_entry_logic.append(df["close"] > (df["close_max_12"] * 0.50))
          # 5m & 4h down move, 1d downtrend
          long_entry_logic.append((df["RSI_3"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1d"] > -20.0))
          # 5m & 4h down move, 15m still high
          long_entry_logic.append(
            (df["RSI_3"] > 5.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
          )
          # 5 & 15m down move, 1h high
          long_entry_logic.append(
            (df["RSI_3"] > 10.0) | (df["RSI_3_15m"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0)
          )
          # 5m down move, 1h & 4h high
          long_entry_logic.append((df["RSI_3"] > 10.0) | (df["AROONU_14_1h"] < 85.0) | (df["AROONU_14_4h"] < 90.0))
          # 15m & 1h down move, 4h still not low enough
          long_entry_logic.append(
            (df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
          )
          # 15m & 1h down move, 1d still high
          long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 5.0) | (df["AROONU_14_1d"] < 40.0))
          # 15m & 1h down move, 4h still high
          long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_14_4h"] < 40.0))
          # 15m & 4h down move, 4h high
          long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 75.0))
          # 15m & 1h down move, 1h still not low enough
          long_entry_logic.append(
            (df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0)
          )
          # 15m & 4h down move, 4h still not low enough
          long_entry_logic.append(
            (df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0)
          )
          # 15m & 4h down move, 1d downtrend
          long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1d"] > -20.0))
          # 15m & 4h down move, 4h still not low enough
          long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 30.0))
          # 15m & 4h down move, 4h still not low enough
          long_entry_logic.append(
            (df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
          )
          # 15m down move, 15m still not low enough, 1h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 3.0) | (df["AROONU_14_15m"] < 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0)
          )
          # 15m down move, 15m still not low enough, 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 3.0) | (df["AROONU_14_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
          )
          # 15m down move, 4h high, 1d overbought
          long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] < 30.0))
          # 15m & 1h & 1d down move
          long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 20.0))
          # 15m down move, 1h still not low enough, 1d high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["AROONU_14_1d"] < 90.0)
          )
          # 15m & 1h down move, 1h still not low enough
          long_entry_logic.append(
            (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0)
          )
          # 15m & 1h down move, 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
          )
          # 15m & 1h down move, 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
          )
          # 15m & 1h down move, 1h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)
          )
          # 15m & 1h down move, 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)
          )
          # 15m & 4h down move, 1d still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 40.0)
          )
          # 15m & 4h down move, 4h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
          )
          # 15m & 1d down move
          long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1d"] > 5.0))
          # 15m & 1d down move, 4h still not low enough
          long_entry_logic.append(
            (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1d"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
          )
          # 15m down move, 1h still high, 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 5.0) | (df["AROONU_14_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)
          )
          # 15m down move, 1h high & overbought
          long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1h"] < 10.0))
          # 15m down move, 1h high & overbought
          long_entry_logic.append(
            (df["RSI_3_15m"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1h"] < 10.0)
          )
          # 15m & 1h down move, 4h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
          )
          # 15m & 1h down move, 1h still not low enough
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 25.0))
          # 15m & 1h down move, 1h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
          )
          # 15m & 1h down move, 4h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
          )
          # 15m & 1h down move, 1h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
          )
          # 15m & 1h down move, 1h high
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 50.0) | (df["AROONU_14_1h"] < 80.0))
          # 15m & 1h down move, 1h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
          )
          # 15m & 4h down move, 15m still not low enough
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 10.0)
          )
          # 15m & 4h down move, 1d downtrend
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["ROC_9_1d"] > -25.0))
          # 15m & 4h down move, 1d high
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_1d"] < 85.0))
          # 15m & 4h down move, 1h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
          )
          # 15m & 4h down move, 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
          )
          # 15m & 1d down move, 1h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1d"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
          )
          # 15m down move, 15m still not low enough, 1h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["AROONU_14_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
          )
          # 15m down move, 1h still high, 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["AROONU_14_4h"] < 85.0)
          )
          # 15m down move, 1h & 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 75.0)
          )
          # 15m & 1h down move, 15m still not low enough
          long_entry_logic.append(
            (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0)
          )
          # 15m & 1h down move, 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)
          )
          # 15m & 1h down move, 1h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
          )
          # 15m & 1h down move, 1h still high
          long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 50.0))
          # 15m & 4h & 1d down move
          long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 15.0))
          # 15m & 4h down move, 1h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
          )
          # 15m & 4h down move, 1h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
          )
          # 15m & 4h down move, 15m still not low enough
          long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_15m"] < 30.0))
          # 15m & 4h down move, 4h still high
          long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 50.0))
          # 1h & 1d down move, 1d overbought
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_1d"] > 35.0) | (df["ROC_9_1d"] < 10.0))
          # 15m down move, 15m still not low enough, 1h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
          )
          # 15m down move, 4h high & overbought
          long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 40.0))
          # 15m down move, 1h & 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["AROONU_14_4h"] < 85.0)
          )
          # 15m & 1h down move, 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)
          )
          # 15m & 1d down move, 1h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)
          )
          # 15m down move, 1d high & overbought
          long_entry_logic.append((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 20.0))
          # 15m down move, 1h high, 1d downtrend
          long_entry_logic.append(
            (df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1d"] > -20.0)
          )
          # 15m down move, 1d high & overbought
          long_entry_logic.append(
            (df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1d"] < 20.0)
          )
          # 15m & 1h down move, 1h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0)
          )
          # 15m & 1h down move, 1h high
          long_entry_logic.append((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 60.0) | (df["AROONU_14_1h"] < 85.0))
          # 15m down move, 15m still not low enough, 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 25.0) | (df["AROONU_14_4h"] < 60.0)
          )
          # 15m down move, 15m still not low enough, 1h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["AROONU_14_1h"] < 80.0)
          )
          # 15m & 1h down move, 1h high
          long_entry_logic.append((df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1h"] < 70.0))
          # 1h & 4h down move, 15m downtrend
          long_entry_logic.append((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 3.0) | (df["ROC_9_15m"] > -30.0))
          # 1h & 4h & 1d down move
          long_entry_logic.append((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 25.0))
          # 1h & 4h down move, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 70.0))
          # 1h & 4h down move, 4h downtrend
          long_entry_logic.append((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 5.0) | (df["ROC_9_4h"] > -20.0))
          # 1h & 4h down move, 4h downtrend
          long_entry_logic.append((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["ROC_9_4h"] > -30.0))
          # 1h & 4h down move, 4h still not low enough
          long_entry_logic.append(
            (df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 20.0)
          )
          # 1h & 4h down move, 1d low
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["CMF_20_1d"] > -0.2))
          # 1h & 4h down move, 4h still not low enough
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 20.0))
          # 1h & 4h down move, 4h still not low enough
          long_entry_logic.append(
            (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
          )
          # 1h & 1d down move, 5m moving down
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 15.0) | (df["ROC_2"] > -0.0))
          # 1h down move, 4h downtrend
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["ROC_9_4h"] > -30.0))
          # 1h down move, 1d downtrend
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["ROC_9_1d"] > -30.0))
          # 1h & 4h & 1d down move
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 30.0))
          # 1h & 4h down move, 1h still high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
          )
          # 1h & 4h down move, 1h still not low enough
          long_entry_logic.append(
            (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0)
          )
          # 1h & 4h down move, 1h still high
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_1d"] > 10.0) | (df["AROONU_14_1h"] < 40.0))
          # 1h down move, 1d high & overbought
          long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1d"] < 30.0))
          # 1h down move, 1h still not low enough, 4h high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0) | (df["AROONU_14_4h"] < 80.0)
          )
          # 1h & 4h down move, 1h still high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
          )
          # 1h & 4h down move, 1d high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0)
          )
          # 1h & 4h down move, 1h high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
          )
          # 1h & 4h down move, 1h still high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
          )
          # 1h down move, 4h high, 1d overbought
          long_entry_logic.append((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_1d"] < 40.0))
          # 1h down move, 4h & 1d high
          long_entry_logic.append((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0))
          # 1h down move, 15m high
          long_entry_logic.append((df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 80.0))
          # 1h down move, 1h high, 1d overbought
          long_entry_logic.append((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] < 20.0))
          # 1h down move, 1h & 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 100.0))
          # 1h down move, 1h high & overbought
          long_entry_logic.append(
            (df["RSI_3_1h"] > 55.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1h"] < 10.0)
          )
          # 1h down move, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 60.0) | (df["AROONU_14_4h"] < 90.0))
          # 4h down move, 15m still high
          long_entry_logic.append((df["RSI_3_4h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0))
          # 4h down move, 1d still high, 1d downtrend
          long_entry_logic.append((df["RSI_3_4h"] > 10.0) | (df["AROONU_14_1d"] < 40.0) | (df["ROC_9_1d"] > -20.0))
          # 4h down move, 15m 4h still high
          long_entry_logic.append(
            (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0) | (df["AROONU_14_4h"] < 50.0)
          )
          # 4h & 1d down move, 4h high
          long_entry_logic.append((df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 25.0) | (df["AROONU_14_4h"] < 70.0))
          # 4h down move, 1h still high
          long_entry_logic.append((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1h"] < 50.0))
          # 4h down move, 4h still high
          long_entry_logic.append((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 50.0))
          # 4h down move, 1d high & overbought
          long_entry_logic.append(
            (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 20.0)
          )
          # 4h down move, 4h & 1d downtrend
          long_entry_logic.append((df["RSI_3_4h"] > 15.0) | (df["ROC_9_4h"] > -10.0) | (df["ROC_9_1d"] > -15.0))
          # 4h down move, 4h & 1d downtrend
          long_entry_logic.append((df["RSI_3_4h"] > 20.0) | (df["ROC_9_4h"] > -20.0) | (df["ROC_9_1d"] > -30.0))
          # 4h dowqn move, 4h still high, 1d downtrend
          long_entry_logic.append(
            (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_1d"] > -30.0)
          )
          # 4h down move, 4h & 1d high
          long_entry_logic.append((df["RSI_3_4h"] > 35.0) | (df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0))
          # 4h & 1d down move, 4h still high
          long_entry_logic.append(
            (df["RSI_3_4h"] > 40.0) | (df["RSI_3_1d"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
          )
          # 4h down move, 4h high, 1d downtrend
          long_entry_logic.append(
            (df["RSI_3_4h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_1d"] > -60.0)
          )
          # 4h down move, 4h still high
          long_entry_logic.append((df["RSI_3_4h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0))
          # 4h down move, 4h overbought
          long_entry_logic.append((df["RSI_3_4h"] > 60.0) | (df["ROC_9_4h"] < 20.0))
          # 1d down move, 1h still high, 4h high
          long_entry_logic.append((df["RSI_3_1d"] > 20.0) | (df["AROONU_14_1h"] < 50.0) | (df["AROONU_14_4h"] < 85.0))
          # 1d down move, 1h high & overbought
          long_entry_logic.append(
            (df["RSI_3_1d"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1h"] < 10.0)
          )
          # 1d down move, 4h high, 1d overbought
          long_entry_logic.append(
            (df["RSI_3_1d"] > 45.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_1d"] < 10.0)
          )
          # 4h still high, 4h moving lower, 4h overbought
          long_entry_logic.append(
            (df["AROONU_14_4h"] < 50.0) | (df["AROONU_14_4h"] > df["AROONU_14_4h"].shift(48)) | (df["ROC_9_4h"] < 40.0)
          )
          # 1h high, 1d downtrend
          long_entry_logic.append((df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1d"] > -30.0))
          # 1d high, 4h & 1d overbought
          long_entry_logic.append((df["AROONU_14_1d"] < 85.0) | (df["ROC_9_4h"] < 60.0) | (df["ROC_9_1d"] < 60.0))
          # 1d high, 4h & 1d overbought
          long_entry_logic.append((df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 20.0))
          # 1h high, 4h downtrend
          long_entry_logic.append((df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_4h"] > -20.0))
          # 1h high, 4h overbought
          long_entry_logic.append((df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_4h"] < 80.0))
          # 4h high, 4h & 1d overbought
          long_entry_logic.append(
            (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 30.0)
          )
          # 1d high, 4h & 1d overbought
          long_entry_logic.append(
            (df["STOCHRSIk_14_14_3_3_1d"] < 80.0) | (df["ROC_9_4h"] < 60.0) | (df["ROC_9_1d"] < 60.0)
          )
          # 1d red, 4h down move, 1h still high
          long_entry_logic.append(
            (df["change_pct_1d"] > -30.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
          )
          # pump, drop but not yet near the previous lows
          long_entry_logic.append(
            (((df["high_max_24_4h"] - df["low_min_24_4h"]) / df["low_min_24_4h"]) < 2.0)
            | (df["close"] > (df["high_max_6_4h"] * 0.75))
            | (df["close"] < (df["low_min_24_4h"] * 1.25))
          )
          # 4h high, drop but not yet near the previous lows
          long_entry_logic.append(
            (df["AROONU_14_4h"] < 70.0)
            | (df["close"] > (df["high_max_6_4h"] * 0.80))
            | (df["close"] < (df["low_min_24_4h"] * 1.25))
          )
          # 4h high, drop but not yet near the previous lows
          long_entry_logic.append(
            (df["AROONU_14_4h"] < 80.0)
            | (df["close"] > (df["high_max_6_4h"] * 0.85))
            | (df["close"] < (df["low_min_24_4h"] * 1.25))
          )
          # 1h down move, drop but not yet near the previous lows
          long_entry_logic.append(
            (df["RSI_3_1h"] > 30.0)
            | (df["close"] > (df["high_max_12_4h"] * 0.50))
            | (df["close"] < (df["low_min_24_4h"] * 1.25))
          )
          # 1d overbought, drop but not yet near the previous lows
          long_entry_logic.append(
            (df["ROC_9_1d"] < 50.0)
            | (df["close"] > (df["high_max_6_1d"] * 0.70))
            | (df["close"] < (df["low_min_12_1d"] * 1.25))
          )
          # big drop in last 6 hours, 1d overbought
          long_entry_logic.append((df["close"] > (df["high_max_6_1h"] * 0.65)) | (df["ROC_9_1d"] < 50.0))
          # big drop in last 4 hours, 4h still not low enough
          long_entry_logic.append(
            (df["close"] > (df["high_max_24_4h"] * 0.50)) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
          )
          # big drop in the last 4 days, 4h down move
          long_entry_logic.append((df["close"] > (df["high_max_24_4h"] * 0.20)) | (df["RSI_3_4h"] > 20.0))
          # big drop in the last 6 days, 1d down move
          long_entry_logic.append((df["close"] > (df["high_max_6_1d"] * 0.30)) | (df["RSI_3_1d"] > 15.0))
          # big drop in the last 12 days, 4h high
          long_entry_logic.append(
            (df["close"] > (df["high_max_12_1d"] * 0.50)) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)
          )
          # big drop in the last 30 days, 4h down move
          long_entry_logic.append((df["close"] > (df["high_max_20_1d"] * 0.10)) | (df["RSI_3_4h"] > 30.0))
          # big drop in the last 20 days, 1h still high
          long_entry_logic.append((df["close"] > (df["high_max_20_1d"] * 0.05)) | (df["AROONU_14_1h"] < 50.0))
          # big drop in the last 20 days, 1d high, 1d downtrend
          long_entry_logic.append(
            (df["close"] > (df["high_max_20_1d"] * 0.20))
            | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0)
            | (df["ROC_9_1d"] > -15.0)
          )
          # big drop in the last 30 days, 1h down move
          long_entry_logic.append((df["close"] > (df["high_max_30_1d"] * 0.25)) | (df["RSI_3_1h"] > 15.0))

          # Logic
          long_entry_logic.append(df["RSI_3"] > 3.0)
          long_entry_logic.append(df["RSI_14"] < 36.0)
          long_entry_logic.append(df["AROONU_14"] < 25.0)
          long_entry_logic.append(df["STOCHRSIk_14_14_3_3"] < 20.0)
          long_entry_logic.append(df["close"] < (df["SMA_16"] * 0.946))
          long_entry_logic.append(df["AROONU_14_15m"] < 50.0)

        # Condition #102 - Rapid mode (Long).
        if long_entry_condition_index == 102:
          # Protections
          long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288)
          long_entry_logic.append(df["protections_long_global"] == True)

          long_entry_logic.append(df["RSI_3"] < 46.0)
          long_entry_logic.append(df["RSI_3_15m"] > 5.0)
          long_entry_logic.append(df["RSI_3_1h"] > 10.0)
          long_entry_logic.append(df["RSI_3_4h"] > 10.0)
          # 5m & 15m down move, 4h still high
          long_entry_logic.append(
            (df["RSI_3"] > 3.0) | (df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
          )
          # 5m & 15m down move, 15m still high
          long_entry_logic.append((df["RSI_3"] > 3.0) | (df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 40.0))
          # 5m & 15m down move, 1h still high
          long_entry_logic.append(
            (df["RSI_3"] > 3.0) | (df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
          )
          # 5m & 1h down move, 4h still high
          long_entry_logic.append((df["RSI_3"] > 3.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 50.0))
          # 5m & 4h & 1d down move
          long_entry_logic.append((df["RSI_3"] > 3.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 20.0))
          # 5m & 1d down move, 15m still high
          long_entry_logic.append(
            (df["RSI_3"] > 3.0) | (df["RSI_3_1d"] > 10.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0)
          )
          # 5m down move, 15m high
          long_entry_logic.append((df["RSI_3"] > 3.0) | (df["AROONU_14_15m"] < 70.0))
          # 5m down move, 15m & 1h still high
          long_entry_logic.append(
            (df["RSI_3"] > 3.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0) | (df["AROONU_14_1h"] < 40.0)
          )
          # 5m down move, 1h high
          long_entry_logic.append(
            (df["RSI_3"] > 3.0) | (df["AROONU_14_1h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
          )
          # 5m & 1h down move, 1h high
          long_entry_logic.append(
            (df["RSI_3"] > 5.0) | (df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0)
          )
          # 5m & 4h down move, 4h high
          long_entry_logic.append((df["RSI_3"] > 5.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 70.0))
          # 5m down move, 15m still high, 1h high
          long_entry_logic.append((df["RSI_3"] > 5.0) | (df["RSI_14_15m"] < 40.0) | (df["AROONU_14_1h"] < 80.0))
          # 5m down move, 15m still high, 1h high
          long_entry_logic.append(
            (df["RSI_3"] > 5.0) | (df["AROONU_14_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
          )
          # 5m down move, 15m & 4h high
          long_entry_logic.append(
            (df["RSI_3"] > 5.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)
          )
          # 5m & 15m down move, 4h high
          long_entry_logic.append((df["RSI_3"] > 10.0) | (df["RSI_3_15m"] > 20.0) | (df["AROONU_14_4h"] < 90.0))
          # 5m & 15m down move, 1d high
          long_entry_logic.append(
            (df["RSI_3"] > 10.0) | (df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0)
          )
          # 5m & 15m down move, 1h high
          long_entry_logic.append(
            (df["RSI_3"] > 10.0) | (df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0)
          )
          # 5m & 1h down move, 4h still high
          long_entry_logic.append(
            (df["RSI_3"] > 10.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
          )
          # 5m down move, 1h & 4h high
          long_entry_logic.append((df["RSI_3"] > 10.0) | (df["AROONU_14_1h"] < 85.0) | (df["AROONU_14_4h"] < 90.0))
          # 5m down move, 4h high, 1d high
          long_entry_logic.append(
            (df["RSI_3"] > 10.0) | (df["AROONU_14_4h"] < 60.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0)
          )
          # 5m down move, 15m still high, 1h high
          long_entry_logic.append(
            (df["RSI_3"] > 15.0) | (df["RSI_14_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0)
          )
          # 5m down move, 15m still high, 4h high
          long_entry_logic.append(
            (df["RSI_3"] > 15.0) | (df["RSI_14_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)
          )
          # 15m down move, 15m still not low enough, 1h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 3.0) | (df["AROONU_14_15m"] < 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0)
          )
          # 15m & 1h down move, 1d high
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1d"] < 70.0))
          # 15m & 1h down move, 1h still not low enough
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0)
          )
          # 15m & 1h down move, 1h still not low enough
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 30.0))
          # 15m & 1h down move, 1h still high
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 50.0))
          # 15m & 1h down move, 1h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
          )
          # 15m & 1h down move, 4h still high
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 35.0) | (df["AROONU_14_4h"] < 70.0))
          # 15m & 4h down move, 4h still not low enough
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 30.0))
          # 15m& 4h down move, 15m still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0)
          )
          # 15m & 4h down move, 15m still high
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_15m"] < 50.0))
          # 15m & 4h down move, 4h still not low enough
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
          )
          # 15m & 4h down move, 4h still high
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 50.0))
          # 15m & 4h down move, 4h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0)
          )
          # 15m & 4h down move, 1h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
          )
          # 15m & 4h down move, 1d high
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_1d"] < 85.0))
          # 15m & 4h down move, 1h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
          )
          # 15m & 4h down move, 4h high
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 70.0))
          # 15m & 1d down move, 1h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1d"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
          )
          # 15m down move, 15m still not low enough, 1h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["AROONU_14_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
          )
          # 15m down move, 1h high, 4h overbought
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] < 50.0))
          # 15m down move, 1d high & overbought
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["AROONU_14_1d"] < 80.0) | (df["ROC_9_1d"] < 20.0))
          # 15m & 1h down move, 1h still high
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 40.0))
          # 15m & 1h down move, 1h still high
          long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 50.0))
          # 15m & 1h down move, 1h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
          )
          # 15m & 1h down move, 4h high
          long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 45.0) | (df["AROONU_14_4h"] < 80.0))
          # 15m & 1h down move, 15m still not low enough
          long_entry_logic.append(
            (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
          )
          # 15m & 4h & 1d down move
          long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 15.0))
          # 15m & 4h down move, 4h still high
          long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 50.0))
          # 15m & 4h down move, 15m still not low enough
          long_entry_logic.append(
            (df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 25.0)
          )
          # 15m & 4h down move, 4h high
          long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 35.0) | (df["AROONU_14_4h"] < 60.0))
          # 15m & 4h down move, 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
          )
          # 15m & 4h down move, 4h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 15.0) | (df["RSI_3_4h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
          )
          # 15m down move, 15m still not low enough, 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 15.0) | (df["RSI_14_15m"] < 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)
          )
          # 15m down move, 15m still not low enough, 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)
          )
          # 15m down move, 15m & 4h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 15.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_4h"] < 50.0)
          )
          # 15m down move, 15m still high, 1h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)
          )
          # 15m down move, 1h still high, 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 60.0)
          )
          # 15m down move, 4h still high 1d overbought
          long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] < 50.0))
          # 15m & 1h down move, 15m still not low enough
          long_entry_logic.append((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_15m"] < 30.0))
          # 15m & 1h down move, 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)
          )
          # 15m & 1h down move, 15m high
          long_entry_logic.append((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_15m"] < 60.0))
          # 15m & 4h down move, 1h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0)
          )
          # 15m & 4h down move, 4h high
          long_entry_logic.append((df["RSI_3_15m"] > 20.0) | (df["RSI_3_4h"] > 60.0) | (df["AROONU_14_4h"] < 80.0))
          # 15m & 1d down move, 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 20.0) | (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)
          )
          # 15m down move, 15m still not low enough, 4h high
          long_entry_logic.append((df["RSI_3_15m"] > 20.0) | (df["RSI_14_15m"] < 35.0) | (df["RSI_14_4h"] < 85.0))
          # 15m down move, 15m still not low enough, 1h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
          )
          # 15m down move, 15m still not low enough, 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
          )
          # 15m down move, 15m still high, 4d downtrend
          long_entry_logic.append((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 40.0) | (df["ROC_9_4h"] > -20.0))
          # 15m down move, 15m still not low enough, 1h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["AROONU_14_1h"] < 50.0)
          )
          # 15m down move, 15m & 1h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
          )
          # 15m down move, 1h & 4h high
          long_entry_logic.append((df["RSI_3_15m"] > 20.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 90.0))
          # 15m & 1h down move, 1h high
          long_entry_logic.append((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 80.0))
          # 15m & 1h down move, 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
          )
          # 15m & 1h down move, 1d high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 40.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0)
          )
          # 15m & 1h down move, 1h high
          long_entry_logic.append((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 60.0) | (df["AROONU_14_1h"] < 85.0))
          # 15m & 4h down move, 15m still high
          long_entry_logic.append((df["RSI_3_15m"] > 25.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_15m"] < 50.0))
          # 15m & 1d down move, 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1d"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
          )
          # 15m & 1d down move, 1h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 25.0) | (df["RSI_3_1d"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
          )
          # 15m down move, 15m & 1h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
          )
          # 15m down move, 15m still high, 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
          )
          # 15m down move, 15m high, 1d overbought
          long_entry_logic.append((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 70.0) | (df["ROC_9_1d"] < 100.0))
          # 15m down move, 15m high
          long_entry_logic.append((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 85.0))
          # 15m down move, 1h & 4h high
          long_entry_logic.append((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 90.0))
          # 15m down move, 1h & 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["AROONU_14_4h"] < 90.0)
          )
          # 15m down move, 4h high, 1d overbought
          long_entry_logic.append((df["RSI_3_15m"] > 25.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_1d"] < 50.0))
          # 15m & 1h down move, 1h high
          long_entry_logic.append((df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1h"] < 60.0))
          # 15m down move, 15m high, 4h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 30.0) | (df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_4h"] < 50.0)
          )
          # 15m down move, 15m still not low enough, 1h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 30.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
          )
          # 15m down move, 1h still high, 4h high
          long_entry_logic.append((df["RSI_3_15m"] > 30.0) | (df["AROONU_14_1h"] < 50.0) | (df["AROONU_14_4h"] < 90.0))
          # 15m down move, 15m & 1h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 35.0) | (df["AROONU_14_15m"] < 70.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)
          )
          # 15m down move, 15m & 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 35.0) | (df["AROONU_14_15m"] < 70.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)
          )
          # 15m down move, 15m high
          long_entry_logic.append((df["RSI_3_15m"] > 35.0) | (df["AROONU_14_15m"] < 80.0))
          # 15m down move, 4h still high, 4h overbought
          long_entry_logic.append(
            (df["RSI_3_15m"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_4h"] < 20.0)
          )
          # 15m down move, 15m still high, 1h high
          long_entry_logic.append((df["RSI_3_15m"] > 40.0) | (df["RSI_14_15m"] < 50.0) | (df["AROONU_14_1h"] < 80.0))
          # 15m down move, 15m high, 1h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 40.0) | (df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_1h"] < 90.0)
          )
          # 15m down move, 15m high
          long_entry_logic.append((df["RSI_3_15m"] > 45.0) | (df["AROONU_14_15m"] < 90.0))
          # 1h & 4h down move, 4h still high
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_14_4h"] < 40.0))
          # 1h & 4h down move, 1h still high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
          )
          # 1h & 4h down move, 4h still high
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 40.0))
          # 1h & 1d down move, 4h downtrend
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_1d"] > 35.0) | (df["CMF_20_4h"] > -0.40))
          # 1h down move, 1d high & overbought
          long_entry_logic.append(
            (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_1d"] < 30.0)
          )
          # 1h & 4h down move, 4h still high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
          )
          # 1h & 4h down move, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 25.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_4h"] < 70.0))
          # 1h down move, 1h still not low enough, 4h high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
          )
          # 1h down move, 1d still high, 1d downtrend
          long_entry_logic.append(
            (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0) | (df["ROC_9_1d"] > -20.0)
          )
          # 1h down move, 4h high & overbought
          long_entry_logic.append((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] < 10.0))
          # 1h down move, 4h high, 1d downtrend
          long_entry_logic.append((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] > -50.0))
          # 1h down move, 4h high, 1d overbought
          long_entry_logic.append((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] < 40.0))
          # 1h down move, 4h & 1d overbought
          long_entry_logic.append((df["RSI_3_1h"] > 30.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 40.0))
          # 1h & 4h down move, 4h high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 35.0) | (df["RSI_3_4h"] > 55.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
          )
          # 1h down move, 1h high, 1d overbought
          long_entry_logic.append((df["RSI_3_1h"] > 35.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_1d"] < 20.0))
          # 1h down move, 4h high, 1d overbought
          long_entry_logic.append((df["RSI_3_1h"] > 40.0) | (df["RSI_14_4h"] < 75.0) | (df["ROC_9_1d"] < 100.0))
          # 1h down move, 1h still high, 1d high
          long_entry_logic.append((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 50.0) | (df["AROONU_14_1d"] < 85.0))
          # 1h down move, 1h still high, 1d overbought
          long_entry_logic.append((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 50.0) | (df["ROC_9_1d"] < 20.0))
          # 1h down move 1h high & overbought
          long_entry_logic.append((df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_1h"] < 10.0))
          # 1h down move, 1h high & overbought
          long_entry_logic.append(
            (df["RSI_3_1h"] > 55.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1h"] < 10.0)
          )
          # 1h down move, 1d high, 1h overbought
          long_entry_logic.append((df["RSI_3_1h"] > 60.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1h"] < 10.0))
          # 4h down move, 4h still not low enough, 1d overbought
          long_entry_logic.append((df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 30.0) | (df["ROC_9_1d"] < 100.0))
          # 4h down move, 15m still high, 1d downtrend
          long_entry_logic.append(
            (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["ROC_9_1d"] > -20.0)
          )
          # 4h & 1d down move, 15m still not low enough
          long_entry_logic.append(
            (df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 30.0)
          )
          # 4h down move, 4h still not low enough, 1d downtrend
          long_entry_logic.append(
            (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0) | (df["ROC_9_1d"] > -20.0)
          )
          # 4h down move, 1d high, 4h downtrend
          long_entry_logic.append(
            (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0) | (df["ROC_9_4h"] > -20.0)
          )
          # 4h down move, 4h high, 1d downtrend
          long_entry_logic.append(
            (df["RSI_3_4h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_1d"] > -30.0)
          )
          # 4h & 1d down move, 1d high
          long_entry_logic.append((df["RSI_3_4h"] > 40.0) | (df["RSI_3_1d"] > 60.0) | (df["AROONU_14_1d"] < 100.0))
          # 4h down move, 4h high, 1d downtrend
          long_entry_logic.append(
            (df["RSI_3_4h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_1d"] > -20.0)
          )
          # 4h down move, 15m high, 4h overbought
          long_entry_logic.append(
            (df["RSI_3_4h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 80.0) | (df["ROC_9_4h"] < 20.0)
          )
          # 4h down move, 4h & 1d overbought
          long_entry_logic.append((df["RSI_3_4h"] > 60.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 20.0))
          # 1d down move, 1h high, 1d downtrend
          long_entry_logic.append((df["RSI_3_1d"] > 10.0) | (df["AROONU_14_1h"] < 85.0) | (df["ROC_9_1d"] > -30.0))
          # 1d down move, 15m still not low enough, 1h still high
          long_entry_logic.append(
            (df["RSI_3_1d"] > 15.0) | (df["AROONU_14_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
          )
          # 15m still not low enough, 1h high, 1d overbought
          long_entry_logic.append(
            (df["AROONU_14_15m"] < 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1d"] < 100.0)
          )
          # 15m still high, 4h high & overbought
          long_entry_logic.append(
            (df["AROONU_14_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 30.0)
          )
          # 15m & 1h & 4h high
          long_entry_logic.append(
            (df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 90.0)
          )
          # 15m & 1h high, 4h overbought
          long_entry_logic.append((df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_1h"] < 90.0) | (df["ROC_9_4h"] < 20.0))
          # 15m & 1d high, 1d overbought
          long_entry_logic.append(
            (df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1d"] < 100.0)
          )
          # 15m high
          long_entry_logic.append((df["AROONU_14_15m"] < 80.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 60.0))
          # 15m & 4h high
          long_entry_logic.append((df["AROONU_14_15m"] < 80.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0))
          # 15m high, 1d overbought
          long_entry_logic.append((df["AROONU_14_15m"] < 80.0) | (df["ROC_9_1d"] < 50.0))
          # 15m & 4h high
          long_entry_logic.append((df["AROONU_14_15m"] < 90.0) | (df["AROONU_14_4h"] < 70.0))
          # 15m & 1h high
          long_entry_logic.append((df["AROONU_14_15m"] < 90.0) | (df["AROONU_14_1h"] < 90.0))
          # 1h still high, 4h high & overbought
          long_entry_logic.append((df["AROONU_14_1h"] < 50.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_4h"] < 80.0))
          # 1h & 4h high, 1h overbought
          long_entry_logic.append((df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_1h"] < 40.0))
          # 1h & 1d high, 1d overbought
          long_entry_logic.append((df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 30.0))
          # 1h high, 4h & 1d overbought
          long_entry_logic.append((df["AROONU_14_1h"] < 90.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 40.0))
          # 4h & 1d high, 4h overbought
          long_entry_logic.append((df["AROONU_14_4h"] < 80.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 30.0))
          # 4h & 1d high, 1d overbought
          long_entry_logic.append((df["AROONU_14_4h"] < 70.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 10.0))
          # 4h high & overbought
          long_entry_logic.append(
            (df["AROONU_14_4h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 85.0) | (df["ROC_9_4h"] < 50.0)
          )
          # 1d high, 4h & 1d overbought
          long_entry_logic.append((df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 50.0))
          # 1d high, 4h & 1d overbought
          long_entry_logic.append((df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 20.0) | (df["ROC_9_1d"] < 40.0))
          # 4h high, 4h & 1d overbought
          long_entry_logic.append(
            (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 30.0)
          )
          # 5m red, 1h still high
          long_entry_logic.append((df["change_pct"] > -5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0))
          # 1d top wick, 4h down move, 4h still high
          long_entry_logic.append(
            (df["top_wick_pct_1d"] < 30.0) | (df["RSI_3_4h"] > 60.0) | (df["AROONU_14_4h"] < 50.0)
          )
          # pump, drop but not yet near the previous lows
          long_entry_logic.append(
            (((df["high_max_24_4h"] - df["low_min_24_4h"]) / df["low_min_24_4h"]) < 2.0)
            | (df["close"] > (df["high_max_6_4h"] * 0.75))
            | (df["close"] < (df["low_min_24_4h"] * 1.25))
          )
          # 4h high, drop but not yet near the previous lows
          long_entry_logic.append(
            (df["STOCHRSIk_14_14_3_3_4h"] < 90.0)
            | (df["close"] > (df["close_max_48"] * 0.85))
            | (df["close"] < (df["low_min_24_1h"] * 1.25))
          )
          # 4h high, drop but not yet near the previous lows
          long_entry_logic.append(
            (df["AROONU_14_4h"] < 70.0)
            | (df["close"] > (df["high_max_6_4h"] * 0.80))
            | (df["close"] < (df["low_min_24_4h"] * 1.25))
          )
          # 1d overbought, drop but not yet near the previous lows
          long_entry_logic.append(
            (df["ROC_9_1d"] < 50.0)
            | (df["close"] > (df["high_max_6_1d"] * 0.70))
            | (df["close"] < (df["low_min_12_1d"] * 1.25))
          )
          # big drop in the last 4 days, 4h down move
          long_entry_logic.append((df["close"] > (df["high_max_24_4h"] * 0.20)) | (df["RSI_3_4h"] > 20.0))
          # big drop in the last 12 days, 1h high
          long_entry_logic.append(
            (df["close"] > (df["high_max_12_1d"] * 0.30)) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0)
          )
          # big drop in the last 20 days, 1d down move
          long_entry_logic.append((df["close"] > (df["high_max_20_1d"] * 0.40)) | (df["RSI_3_1d"] > 30.0))
          # big drop in the last 30 days, 4h down move, 4h still high
          long_entry_logic.append(
            (df["close"] > (df["high_max_30_1d"] * 0.25)) | (df["RSI_3_4h"] > 45.0) | (df["RSI_14_4h"] < 40.0)
          )
          # big drop in the last 30 days, 1h high
          long_entry_logic.append(
            (df["close"] > (df["high_max_30_1d"] * 0.20)) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
          )

          # Logic
          long_entry_logic.append(df["WILLR_14"] < -95.0)
          long_entry_logic.append(df["STOCHRSIk_14_14_3_3"] < 10.0)
          long_entry_logic.append(df["close"] < (df["BBL_20_2.0"] * 0.999))
          long_entry_logic.append(df["close"] < (df["EMA_20"] * 0.960))

        # Condition #103 - Rapid mode (Long).
        if long_entry_condition_index == 103:
          # Protections
          long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288)
          long_entry_logic.append(df["protections_long_global"] == True)

          long_entry_logic.append(df["ROC_2"] > -0.0)
          # 15m down move, 4h high, 1d overbought
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_1d"] < 80.0)
          )
          # 15m & 1h & 4h down move
          long_entry_logic.append((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 20.0))
          # 15m & 4h down move, 1h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
          )
          # 15m & 1h down move, 1h high
          long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 70.0))
          # 15m down move, 4h high & overbought
          long_entry_logic.append(
            (df["RSI_3_15m"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0) | (df["ROC_9_4h"] < 30.0)
          )
          # 15m & 1h down move, 15m high
          long_entry_logic.append((df["RSI_3_15m"] > 20.0) | (df["RSI_3_1h"] > 45.0) | (df["AROONU_14_15m"] < 70.0))
          # 15m & 4h down move, 15m still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0)
          )
          # 15m down move, 15m still high, 1h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 20.0) | (df["RSI_14_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)
          )
          # 15m down move, 15m still high, 4h high
          long_entry_logic.append((df["RSI_3_15m"] > 20.0) | (df["RSI_14_15m"] < 40.0) | (df["AROONU_14_4h"] < 90.0))
          # 15m down move, 15m still high, 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_4h"] < 90.0)
          )
          # 15m down move, 15m & 1h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 60.0) | (df["AROONU_14_1h"] < 70.0)
          )
          # 15m down move, 15m high, 4h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 20.0) | (df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_4h"] < 50.0)
          )
          # 15m down move, 15m & 1h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
          )
          # 15m down move, 4h overbought
          long_entry_logic.append((df["RSI_3_15m"] > 20.0) | (df["ROC_9_4h"] < 70.0))
          # 15m down move, 15m still high, 1h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 25.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_1h"] < 80.0)
          )
          # 15m down move, 4h & 1d high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 25.0) | (df["AROONU_14_4h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0)
          )
          # 15m down move, 1h & 1d high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0)
          )
          # 15m down move, 1h high & overbought
          long_entry_logic.append(
            (df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0) | (df["ROC_9_1h"] < 20.0)
          )
          # 15m & 1h down move, 15m high
          long_entry_logic.append((df["RSI_3_15m"] > 30.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_15m"] < 70.0))
          # 15m down move, 15m & 1h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 30.0) | (df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_1h"] < 90.0)
          )
          # 15m down move, 1h & 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["AROONU_14_4h"] < 90.0)
          )
          # 15m & 1h down move, 1h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 35.0) | (df["RSI_3_1h"] > 45.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
          )
          # 15m down move, 15m still high, 4h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 35.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_4h"] < 80.0)
          )
          # 15m down move, 15m & 1h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 35.0) | (df["AROONU_14_15m"] < 70.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0)
          )
          # 15m down move, 1h high, 4h overbought
          long_entry_logic.append((df["RSI_3_15m"] > 35.0) | (df["AROONU_14_1h"] < 85.0) | (df["ROC_9_4h"] < 80.0))
          # 1h & 4h down move, 1h still high
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1h"] < 40.0))
          # 1h & 4h down move, 15m still not low enough
          long_entry_logic.append(
            (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
          )
          # 1h down move, 1d high & overbought
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1d"] < 90.0) | (df["ROC_9_1d"] < 10.0))
          # 1h & 4h down move, 4h still high
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 40.0))
          # 1h down move, 4h still high, 4h downtrend
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_4h"] > -20.0))
          # 1h down move, 15m still not low enough, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_15m"] < 25.0) | (df["AROONU_14_4h"] < 80.0))
          # 1h down move, 4h & 1d high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 70.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 80.0)
          )
          # 1h down move, 4h high & overbought
          long_entry_logic.append((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_4h"] < 10.0))
          # 1h down move, 4h high, 1d overbought
          long_entry_logic.append((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 70.0) | (df["ROC_9_1d"] < 40.0))
          # 1h down move, 4h & 1d overbought
          long_entry_logic.append((df["RSI_3_1h"] > 30.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 40.0))
          # 1h down move, 4h & 1d overbought
          long_entry_logic.append((df["RSI_3_1h"] > 30.0) | (df["ROC_9_4h"] < 30.0) | (df["ROC_9_1d"] < 40.0))
          # 1h down move, 15m & 1h still high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 40.0) | (df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
          )
          # 1h down move, 1h still high, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 40.0) | (df["AROONU_14_1h"] < 50.0) | (df["AROONU_14_4h"] < 90.0))
          # 1h down move, 1d high & overbought
          long_entry_logic.append((df["RSI_3_1h"] > 45.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 30.0))
          # 1h down move, 15m & 1h still high
          long_entry_logic.append((df["RSI_3_1h"] > 50.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_1h"] < 85.0))
          # 1h & 4h down move, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 60.0) | (df["RSI_3_4h"] > 60.0) | (df["AROONU_14_4h"] < 80.0))
          # 1h & 4h down move, 4h high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 60.0) | (df["RSI_3_4h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0)
          )
          # 4h down move, 1h & 4h downtrend
          long_entry_logic.append((df["RSI_3_4h"] > 5.0) | (df["ROC_9_1h"] > -30.0) | (df["ROC_9_4h"] > -30.0))
          # 1h down move, 4h high & overbought
          long_entry_logic.append(
            (df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0) | (df["ROC_9_4h"] < 20.0)
          )
          # 4h down move, 4h still high, 1d downtrend
          long_entry_logic.append((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] > -40.0))
          # 1h down move, 15m & 1h still high
          long_entry_logic.append(
            (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 40.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
          )
          # 4h down move, 15m still high, 4h high
          long_entry_logic.append(
            (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["AROONU_14_4h"] < 70.0)
          )
          # 4h down move, 15m still not low enough, 4h high
          long_entry_logic.append((df["RSI_3_4h"] > 35.0) | (df["AROONU_14_15m"] < 30.0) | (df["AROONU_14_4h"] < 70.0))
          # 4h down move, 1h high, 4h downtrend
          long_entry_logic.append((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_1h"] < 70.0) | (df["ROC_9_4h"] > -10.0))
          # 4h down move, 4h still high, 1d downtrend
          long_entry_logic.append((df["RSI_3_4h"] > 50.0) | (df["RSI_14_4h"] < 40.0) | (df["ROC_9_1d"] > -30.0))
          # 4h down move, 4h high & overbought
          long_entry_logic.append((df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 20.0))
          # 4h down move, 4h still high, 1d downtrend
          long_entry_logic.append(
            (df["RSI_3_4h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_1d"] > -30.0)
          )
          # 4h down move, 15m still high, 1h high
          long_entry_logic.append((df["RSI_3_4h"] > 60.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_1h"] < 90.0))
          # 4h down move, 1h high, 1d overbought
          long_entry_logic.append(
            (df["RSI_3_4h"] > 60.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0) | (df["ROC_9_1d"] < 30.0)
          )
          # 1d down move, 1h high, 1d downtrend
          long_entry_logic.append((df["RSI_3_1d"] > 10.0) | (df["AROONU_14_1h"] < 80.0) | (df["ROC_9_1d"] > -10.0))
          # 1d down move, 4h high
          long_entry_logic.append((df["RSI_3_1d"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0))
          # 1d down move, 15m still high, 1h high
          long_entry_logic.append((df["RSI_3_1d"] > 15.0) | (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_1h"] < 85.0))
          # 1d down move, 1h & 1d overbought
          long_entry_logic.append((df["RSI_3_1d"] > 45.0) | (df["ROC_9_1h"] < 80.0) | (df["ROC_9_1d"] < 80.0))
          # 15m still high, 1h & 4h high
          long_entry_logic.append(
            (df["RSI_14_15m"] < 40.0) | (df["AROONU_14_1h"] < 80.0) | (df["AROONU_14_4h"] < 90.0)
          )
          # 15m & 1h still high, 4h high
          long_entry_logic.append(
            (df["RSI_14_15m"] < 45.0) | (df["AROONU_14_1h"] < 40.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 70.0)
          )
          # 15m still high, 4h high & overbought
          long_entry_logic.append((df["RSI_14_15m"] < 50.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_4h"] < 80.0))
          # 15m still high, 1h high, 4h still high
          long_entry_logic.append(
            (df["AROONU_14_15m"] < 50.0) | (df["AROONU_14_1h"] < 90.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
          )
          # 15m still high, 1d high
          long_entry_logic.append((df["AROONU_14_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
          # 15m & 1h
          long_entry_logic.append((df["AROONU_14_15m"] < 70.0) | (df["AROONU_14_1h"] < 90.0))
          # 15m & 1h & 4h high
          long_entry_logic.append(
            (df["AROONU_14_15m"] < 70.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0) | (df["AROONU_14_4h"] < 90.0)
          )
          # 1h & 1d high, 4h downtrend
          long_entry_logic.append((df["AROONU_14_1h"] < 40.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_4h"] > -20.0))
          # 1h & 4h high, 4h overbought
          long_entry_logic.append((df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_4h"] < 10.0))
          # 1h high, 1h & 1d overbought
          long_entry_logic.append((df["AROONU_14_1h"] < 90.0) | (df["ROC_9_1h"] < 10.0) | (df["ROC_9_1d"] < 30.0))
          # 4h & 1d high, 1d overbought
          long_entry_logic.append((df["AROONU_14_4h"] < 70.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_1d"] < 10.0))
          # 4h high, 4h & 1d overbought
          long_entry_logic.append((df["AROONU_14_4h"] < 80.0) | (df["ROC_9_4h"] < 80.0) | (df["ROC_9_1d"] < 100.0))
          # 1d high, 4h & 1d overbought
          long_entry_logic.append((df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 50.0))
          # 15m still high, 1h high
          long_entry_logic.append(
            (df["STOCHRSIk_14_14_3_3_15m"] < 40.0)
            | (df["AROONU_14_1h"] < 90.0)
            | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0)
          )
          # 15m still high, 1d high
          long_entry_logic.append((df["STOCHRSIk_14_14_3_3_15m"] < 50.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0))
          # 4h high, 4h & 1d overbought
          long_entry_logic.append(
            (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 40.0) | (df["ROC_9_1d"] < 100.0)
          )
          # 1d green, 4h down move, 4h still high
          long_entry_logic.append((df["change_pct_1d"] < 40.0) | (df["RSI_3_4h"] > 35.0) | (df["AROONU_14_4h"] < 40.0))
          # 1d top wick, 4h high
          long_entry_logic.append((df["top_wick_pct_1d"] < 30.0) | (df["AROONU_14_4h"] < 90.0))
          # pump, 4h overbought
          long_entry_logic.append(
            (((df["high_max_6_1h"] - df["low_min_6_1h"]) / df["low_min_6_1h"]) < 0.5) | (df["ROC_9_4h"] < 50.0)
          )
          # pump, drop but not yet near the previous lows
          long_entry_logic.append(
            (((df["high_max_24_4h"] - df["low_min_24_4h"]) / df["low_min_24_4h"]) < 2.0)
            | (df["close"] > (df["high_max_6_4h"] * 0.85))
            | (df["close"] < (df["low_min_24_4h"] * 1.25))
          )
          # pump, 1h high
          long_entry_logic.append(
            (((df["high_max_24_4h"] - df["low_min_24_4h"]) / df["low_min_24_4h"]) < 4.0)
            | (df["STOCHRSIk_14_14_3_3_1h"] < 90.0)
          )
          # big drop in the last 2 days, 1d down move
          long_entry_logic.append((df["close"] > (df["high_max_12_4h"] * 0.30)) | (df["RSI_3_1d"] > 30.0))
          # big drop in the last 12 days, 1h still high
          long_entry_logic.append((df["close"] > (df["high_max_12_1d"] * 0.25)) | (df["AROONU_14_1h"] < 50.0))
          # big drop in the last 12 days, 1h still not low enough
          long_entry_logic.append(
            (df["close"] > (df["high_max_12_1d"] * 0.10)) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0)
          )
          # big drop in the last 12 days, 15m still high
          long_entry_logic.append((df["close"] > (df["high_max_12_1d"] * 0.20)) | (df["AROONU_14_15m"] < 50.0))
          # big drop in the last 20 days, 4h down move
          long_entry_logic.append((df["close"] > (df["high_max_20_1d"] * 0.10)) | (df["RSI_3_4h"] > 20.0))

          # Logic
          long_entry_logic.append(df["RSI_4"] < 45.0)
          long_entry_logic.append(df["RSI_14"] > 35.0)
          long_entry_logic.append(df["RSI_20"] < df["RSI_20"].shift(1))
          long_entry_logic.append(df["AROONU_14"] < 25.0)
          long_entry_logic.append(df["close"] < df["SMA_16"] * 0.960)

        # Condition #104 - Rapid mode (Long).
        if long_entry_condition_index == 104:
          # Protections
          long_entry_logic.append(df["num_empty_288"] <= allowed_empty_candles_288)
          long_entry_logic.append(df["protections_long_global"] == True)

          # 5m & 4h & 1d down move
          long_entry_logic.append((df["RSI_3"] > 3.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 20.0))
          # 5m & 4h down move, 1d downtrend
          long_entry_logic.append((df["RSI_3"] > 5.0) | (df["RSI_3_4h"] > 10.0) | (df["ROC_9_1d"] > -20.0))
          # 5m & 1h down move, 1h still high
          long_entry_logic.append(
            (df["RSI_3"] > 5.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
          )
          # 15m & 4h & 1d down move
          long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 10.0) | (df["RSI_3_1d"] > 15.0))
          # 15m & 1h down move
          long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 3.0))
          # 15m & 1h down move, 4h still not low enough
          long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 5.0) | (df["RSI_14_4h"] < 35.0))
          # 15m & 1h down move, 1d still high
          long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1d"] < 50.0))
          # 15m & 1h down move, 1h still not low enough
          long_entry_logic.append(
            (df["RSI_3_15m"] > 3.0) | (df["RSI_3_1h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0)
          )
          # 15m & 4h down move, 4h still high
          long_entry_logic.append((df["RSI_3_15m"] > 3.0) | (df["RSI_3_4h"] > 30.0) | (df["RSI_14_4h"] < 40.0))
          # 15m & 1h & 4h down move
          long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0))
          # 15m & 1h & 4h down move, 15m downtrend
          long_entry_logic.append(
            (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["CMF_20_15m"] > -0.20)
          )
          # 15m & 1h down move, 4h still not low enough
          long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_4h"] < 20.0))
          # 15m & 1h down move, 1h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 5.0) | (df["RSI_3_1h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
          )
          # 15m & 4h down move, 4h still high
          long_entry_logic.append((df["RSI_3_15m"] > 5.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_4h"] < 50.0))
          # 15m & 1h down move, 15m & 1h downtrend
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["CMF_20_15m"] > -0.40) | (df["CMF_20_1h"] > -0.40)
          )
          # 15m & 1h down move, 1h still not low enough
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0)
          )
          # 15m & 1h down move, 4h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0)
          )
          # 15m & 1h down move, 4h overbought
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 40.0) | (df["ROC_9_4h"] < 50.0))
          # 15m & 1h down move, 1h high
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 80.0))
          # 15m & 4h down move, 1h & 4h downtrend
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["CMF_20_1h"] > -0.20) | (df["CMF_20_4h"] > -0.20)
          )
          # 15m & 4h down move, 4h still not low enough
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
          )
          # 15m & 4h down move, 4h still high
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0) | (df["AROONU_14_4h"] < 40.0))
          # 15m & 4h down move, 1d high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 90.0)
          )
          # 15m & 4h down move, 1h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 70.0)
          )
          # 15m & 4h down move, 4h still high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0)
          )
          # 15m & 4h down move, 1d downtrend
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 20.0) | (df["ROC_9_1d"] > -25.0))
          # 15m & 4h down move, 15m still not low enough
          long_entry_logic.append(
            (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
          )
          # 15m & 4h down move, 4h high
          long_entry_logic.append((df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_4h"] < 80.0))
          # 15m & 1h down move, 4h still high
          long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 20.0) | (df["AROONU_14_4h"] < 40.0))
          # 15m & 1h down move, 4h high
          long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 70.0))
          # 15m & 1h down move, 1h high
          long_entry_logic.append(
            (df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 60.0)
          )
          # 15m & 1h down move, 1h still high
          long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["RSI_3_1h"] > 30.0) | (df["AROONU_14_1h"] < 40.0))
          # 15m down move, 4h still high, 4h downtrend
          long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_4h"] < 40.0) | (df["ROC_9_4h"] > -20.0))
          # 15m down move, 1d high, 4h overbought
          long_entry_logic.append((df["RSI_3_15m"] > 15.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 50.0))
          # 15m & 3h down move, 15m still not low enough
          long_entry_logic.append(
            (df["RSI_3_15m"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0)
          )
          # 15m & 1h down move, 1h still high
          long_entry_logic.append((df["RSI_3_15m"] > 25.0) | (df["RSI_3_1h"] > 25.0) | (df["RSI_14_1h"] < 40.0))
          # 15m & 4h down move, 4h high
          long_entry_logic.append((df["RSI_3_15m"] > 25.0) | (df["RSI_3_4h"] > 25.0) | (df["AROONU_14_4h"] < 70.0))
          # 15m down move, 15m still not low enough, 1d overbought
          long_entry_logic.append(
            (df["RSI_3_15m"] > 25.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["ROC_9_1d"] < 80.0)
          )
          # 1h & 4h down move
          long_entry_logic.append((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 10.0))
          # 1h & 4h down move, 4h still not low enough
          long_entry_logic.append(
            (df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
          )
          # 1h & 4h down move, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 3.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 70.0))
          # 1h & 4h down move
          long_entry_logic.append((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 5.0))
          # 1h & 4h down move, 4h still high
          long_entry_logic.append((df["RSI_3_1h"] > 5.0) | (df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 50.0))
          # 1h down move, 1h still high
          long_entry_logic.append((df["RSI_3_1h"] > 5.0) | (df["AROONU_14_1h"] < 50.0))
          # 1h down move, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 5.0) | (df["AROONU_14_4h"] < 85.0))
          # 1h & 4h down move
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 10.0))
          # 1h & 4h down move, 4h still not low enough
          long_entry_logic.append(
            (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
          )
          # 1h & 4h down move, 1d still high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 10.0) | (df["RSI_3_4h"] > 15.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 50.0)
          )
          # 1h & 1d down move, 1h still moving lower
          long_entry_logic.append(
            (df["RSI_3_1h"] > 10.0) | (df["RSI_3_1d"] > 15.0) | (df["CCI_20_change_pct_1h"] > -0.0)
          )
          # 1h down move, 1d high, 4h downtrend
          long_entry_logic.append((df["RSI_3_1h"] > 10.0) | (df["AROONU_14_1d"] < 85.0) | (df["ROC_9_4h"] > -10.0))
          # 1h & 4h down move, 1h still high
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 15.0) | (df["AROONU_14_1h"] < 50.0))
          # 1h & 4h & 1d down move
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 30.0))
          # 1h & 4h down move, 1h still not low enough
          long_entry_logic.append(
            (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0)
          )
          # 1h & 4h down move, 4h still not low enough
          long_entry_logic.append(
            (df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 30.0)
          )
          # 1h & 4h & 1d down move
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 25.0) | (df["RSI_3_1d"] > 25.0))
          # 1h & 4h down move, 1h high
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_4h"] > 40.0) | (df["AROONU_14_1h"] < 80.0))
          # 1h & 1d down move, 1d high
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["RSI_3_1d"] > 25.0) | (df["AROONU_14_1d"] < 70.0))
          # 1h & 1d down move, 1d high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 15.0) | (df["RSI_3_1d"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0)
          )
          # 1h down move, 1h & 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 15.0) | (df["AROONU_14_1h"] < 60.0) | (df["AROONU_14_4h"] < 60.0))
          # 1h & 4h down move, 1d overbought
          long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 20.0) | (df["ROC_9_1d"] < 50.0))
          # 1h & 4h down move, 1h still high
          long_entry_logic.append(
            (df["RSI_3_1h"] > 20.0) | (df["RSI_3_4h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
          )
          # 1h & 1d down move, 1d high
          long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["RSI_3_1d"] > 20.0) | (df["AROONU_14_1d"] < 70.0))
          # 4h & 1d down move, 1d high
          long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["RSI_3_1d"] > 40.0) | (df["AROONU_14_1d"] < 80.0))
          # 1h down move, 1h still high, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["AROONU_14_1h"] < 50.0) | (df["AROONU_14_4h"] < 70.0))
          # 1h down move, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 90.0))
          # 1h down move, 1h & 1d high
          long_entry_logic.append((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_1h"] < 70.0) | (df["AROONU_14_1d"] < 90.0))
          # 1h down move, 4h still high, 1d downtrend
          long_entry_logic.append((df["RSI_3_1h"] > 25.0) | (df["AROONU_14_4h"] < 40.0) | (df["ROC_9_1d"] > -20.0))
          # 1h down move, 1h still high, 1d overbought
          long_entry_logic.append(
            (df["RSI_3_1h"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_1d"] < 40.0)
          )
          # 1h & 4h down move, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 45.0) | (df["AROONU_14_4h"] < 80.0))
          # 1h & dh down move, 4h high
          long_entry_logic.append((df["RSI_3_1h"] > 30.0) | (df["RSI_3_4h"] > 50.0) | (df["AROONU_14_4h"] < 85.0))
          # 1h down move, 4h still not low enough, 1d overbought
          long_entry_logic.append((df["RSI_3_1h"] > 30.0) | (df["AROONU_14_4h"] < 30.0) | (df["ROC_9_1d"] < 50.0))
          # 1h down move, 1h still not low enough, 4h downtrend
          long_entry_logic.append(
            (df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 30.0) | (df["ROC_9_4h"] > -20.0)
          )
          # 1h down move, 4h still high, 1d downtrend
          long_entry_logic.append(
            (df["RSI_3_1h"] > 35.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 50.0) | (df["ROC_9_1d"] > -20.0)
          )
          # 1h down move, 4h & 1d overbought
          long_entry_logic.append((df["RSI_3_1h"] > 40.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 50.0))
          # 1h down move, 4h high & overbought
          long_entry_logic.append((df["RSI_3_1h"] > 50.0) | (df["AROONU_14_4h"] < 90.0) | (df["ROC_9_4h"] < 20.0))
          # 1h down move, 4h high & overbought
          long_entry_logic.append(
            (df["RSI_3_1h"] > 50.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 80.0) | (df["ROC_9_4h"] < 20.0)
          )
          # 4h down move, 15m not low enough, 1h still high
          long_entry_logic.append(
            (df["RSI_3_4h"] > 3.0) | (df["STOCHRSIk_14_14_3_3_15m"] < 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 40.0)
          )
          # 4h & 1d down move, 4h downtrend
          long_entry_logic.append((df["RSI_3_4h"] > 5.0) | (df["RSI_3_1d"] > 20.0) | (df["ROC_9_4h"] > -20.0))
          # 4h & 1d down move, 1d high
          long_entry_logic.append((df["RSI_3_4h"] > 5.0) | (df["RSI_3_1d"] > 30.0) | (df["AROONU_14_1d"] < 70.0))
          # 4h down move, 4h still high, 1d downtrend
          long_entry_logic.append(
            (df["RSI_3_4h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0) | (df["ROC_9_1d"] > -20.0)
          )
          # 4h down move, 1d still not low enough, 1d downtrend
          long_entry_logic.append(
            (df["RSI_3_4h"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 30.0) | (df["ROC_9_1d"] > -20.0)
          )
          # 4h down move, 1h downtrend, 1h still not low enough
          long_entry_logic.append((df["RSI_3_4h"] > 10.0) | (df["CMF_20_1h"] > -0.25) | (df["AROONU_14_1h"] < 30.0))
          # 4h down move, 1h & 1d downtrend
          long_entry_logic.append((df["RSI_3_4h"] > 10.0) | (df["ROC_9_1h"] > -20.0) | (df["ROC_9_1d"] > -20.0))
          # 4h & 1d down move, 4h still high
          long_entry_logic.append(
            (df["RSI_3_4h"] > 15.0) | (df["RSI_3_1d"] > 45.0) | (df["STOCHRSIk_14_14_3_3_4h"] < 40.0)
          )
          # 4h & 1d down move, 1d high
          long_entry_logic.append(
            (df["RSI_3_4h"] > 20.0) | (df["RSI_3_1d"] > 25.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 60.0)
          )
          # 4h down move, 1d high & overbought
          long_entry_logic.append((df["RSI_3_4h"] > 20.0) | (df["AROONU_14_1d"] < 70.0) | (df["ROC_9_1d"] < 50.0))
          # 4h down move, 1h still high, 1d downtrend
          long_entry_logic.append(
            (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0) | (df["ROC_9_1d"] > -20.0)
          )
          # 4h down move, 1h high
          long_entry_logic.append((df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 80.0))
          # 4h down move, 1d high, 1h downtrend
          long_entry_logic.append(
            (df["RSI_3_4h"] > 20.0) | (df["STOCHRSIk_14_14_3_3_1d"] < 70.0) | (df["ROC_9_1h"] > -10.0)
          )
          # 4h down move, 4h still high, 1d overbought
          long_entry_logic.append((df["RSI_3_4h"] > 30.0) | (df["AROONU_14_4h"] < 40.0) | (df["ROC_9_1d"] < 100.0))
          # 4h down move, 4h still high, 1d overbought
          long_entry_logic.append((df["RSI_3_4h"] > 35.0) | (df["AROONU_14_4h"] < 50.0) | (df["ROC_9_1d"] < 40.0))
          # 4h down move, 4h still high, 1d high
          long_entry_logic.append((df["RSI_3_4h"] > 40.0) | (df["AROONU_14_4h"] < 50.0) | (df["AROONU_14_1d"] < 100.0))
          # 4h down move, 4h & 1d overbought
          long_entry_logic.append((df["RSI_3_4h"] > 40.0) | (df["ROC_9_4h"] < 10.0) | (df["ROC_9_1d"] < 50.0))
          # 1d down move, 1h still not low enough
          long_entry_logic.append((df["RSI_3_1d"] > 5.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 20.0))
          # 1h & 4h high, 4h overbought
          long_entry_logic.append((df["AROONU_14_1h"] < 60.0) | (df["AROONU_14_4h"] < 100.0) | (df["ROC_9_4h"] < 30.0))
          # 4h & 1d high, 4h overbought
          long_entry_logic.append((df["AROONU_14_4h"] < 60.0) | (df["AROONU_14_1d"] < 100.0) | (df["ROC_9_4h"] < 40.0))
          # 1d red, 4h down move, 1h still high
          long_entry_logic.append(
            (df["change_pct_1d"] > -30.0) | (df["RSI_3_4h"] > 30.0) | (df["STOCHRSIk_14_14_3_3_1h"] < 50.0)
          )
          # pump, drop but not yet near the previous lows
          long_entry_logic.append(
            (((df["high_max_24_4h"] - df["low_min_24_4h"]) / df["low_min_24_4h"]) < 2.0)
            | (df["close"] > (df["high_max_12_4h"] * 0.60))
            | (df["close"] < (df["low_min_24_4h"] * 1.10))
          )
          # pump, drop but not yet near the previous lows
          long_entry_logic.append(
            (((df["high_max_12_1d"] - df["low_min_12_1d"]) / df["low_min_12_1d"]) < 5.0)
            | (df["close"] > (df["high_max_6_1d"] * 0.30))
            | (df["close"] < (df["low_min_12_1d"] * 1.25))
          )
          # big drop in the last hour
          long_entry_logic.append(df["close"] > (df["close_max_12"] * 0.50))
          # big drop in the last 12 days, 15m & 4h down move
          long_entry_logic.append(
            (df["close"] > (df["high_max_12_1d"] * 0.40)) | (df["RSI_3_15m"] > 10.0) | (df["RSI_3_4h"] > 10.0)
          )
          # big drop in the last 20 days, 15m & 1h down move
          long_entry_logic.append(
            (df["close"] > (df["high_max_20_1d"] * 0.40)) | (df["RSI_14_15m"] < 10.0) | (df["RSI_14_1h"] < 10.0)
          )
          # big drop in the last 20 days, 1d down move
          long_entry_logic.append((df["close"] > (df["high_max_20_1d"] * 0.25)) | (df["RSI_3_1d"] > 30.0))
          # big drop in the last 20 days, 4h still not low enough
          long_entry_logic.append((df["close"] > (df["high_max_20_1d"] * 0.10)) | (df["RSI_14_4h"] < 30.0))
          # big drop in the last 30 days, 4h down move
          long_entry_logic.append((df["close"] > (df["high_max_30_1d"] * 0.25)) | (df["RSI_3_4h"] > 20.0))

          # Logic
          long_entry_logic.append(df["RSI_3"] < 40.0)
          long_entry_logic.append(df["AROONU_14"] < 25.0)
          long_entry_logic.append(df["STOCHRSIk_14_14_3_3"] < 20.0)
          long_entry_logic.append(df["AROONU_14_15m"] < 25.0)
          long_entry_logic.append(df["STOCHRSIk_14_14_3_3_15m"] < 30.0)
          long_entry_logic.append(df["close"] < df["EMA_16"] * 0.975)
          long_entry_logic.append(((df["EMA_50"] - df["EMA_200"]) / df["close"] * 100.0) < -5.5)

        # Conditi