NFIX_BB_RPB_v103

import copy
import logging
import pathlib
import rapidjson
import freqtrade.vendor.qtpylib.indicators as qtpylib
import numpy as np
import talib.abstract as ta
from freqtrade.strategy.interface import IStrategy
from freqtrade.strategy import merge_informative_pair, timeframe_to_minutes
from freqtrade.exchange import timeframe_to_prev_date
from pandas import DataFrame, Series, concat
from functools import reduce
import math
from typing import Dict
from freqtrade.persistence import Trade
from datetime import datetime, timedelta
from technical.util import resample_to_interval, resampled_merge
from technical.indicators import zema, VIDYA, ichimoku, RMI
import time
log = logging.getLogger(__name__)
#log.setLevel(logging.DEBUG)
try:
    import pandas_ta as pta
except ImportError:
    log.error("IMPORTANT - please install the pandas_ta python module which is needed for this strategy. If you're running Docker, add RUN pip install pandas_ta to your Dockerfile, otherwise run: pip install pandas_ta")
else:
    log.info('pandas_ta successfully imported')
###########################################################################################################
##                NostalgiaForInfinityX by iterativ                                                     ##
##           https://github.com/iterativv/NostalgiaForInfinity                                           ##
##                                                                                                       ##
##    Strategy for Freqtrade https://github.com/freqtrade/freqtrade                                      ##
##                                                                                                       ##
###########################################################################################################
##               GENERAL RECOMMENDATIONS                                                                 ##
##                                                                                                       ##
##   For optimal performance, suggested to use between 4 and 6 open trades, with unlimited stake.        ##
##   A pairlist with 40 to 80 pairs. Volume pairlist works well.                                         ##
##   Prefer stable coin (USDT, BUSDT 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).                                    ##
##                                                                                                       ##
###########################################################################################################
##               HOLD SUPPORT                                                                            ##
##                                                                                                       ##
## -------- SPECIFIC TRADES ---------------------------------------------------------------------------- ##
##   In case you want to have SOME of the trades to only be sold when on profit, add a file named        ##
##   "nfi-hold-trades.json" in the user_data directory                                                   ##
##                                                                                                       ##
##   The contents should be similar to:                                                                  ##
##                                                                                                       ##
##   {"trade_ids": [1, 3, 7], "profit_ratio": 0.005}                                                     ##
##                                                                                                       ##
##   Or, for individual profit ratios(Notice the trade ID's as strings:                                  ##
##                                                                                                       ##
##   {"trade_ids": {"1": 0.001, "3": -0.005, "7": 0.05}}                                                 ##
##                                                                                                       ##
##   NOTE:                                                                                               ##
##    * `trade_ids` is a list of integers, the trade ID's, which you can get from the logs or from the   ##
##      output of the telegram status command.                                                           ##
##    * Regardless of the defined profit ratio(s), the strategy MUST still produce a SELL signal for the ##
##      HOLD support logic to run                                                                        ##
##    * This feature can be completely disabled with the holdSupportEnabled class attribute              ##
##                                                                                                       ##
## -------- SPECIFIC PAIRS ----------------------------------------------------------------------------- ##
##   In case you want to have some pairs to always be on held until a specific profit, using the same    ##
##   "hold-trades.json" file add something like:                                                         ##
##                                                                                                       ##
##   {"trade_pairs": {"BTC/USDT": 0.001, "ETH/USDT": -0.005}}                                            ##
##                                                                                                       ##
## -------- SPECIFIC TRADES AND PAIRS ------------------------------------------------------------------ ##
##   It is also valid to include specific trades and pairs on the holds file, for example:               ##
##                                                                                                       ##
##   {"trade_ids": {"1": 0.001}, "trade_pairs": {"BTC/USDT": 0.001}}                                     ##
###########################################################################################################
##               DONATIONS                                                                               ##
##                                                                                                       ##
##   Absolutely not required. However, will be accepted as a token of appreciation.                      ##
##                                                                                                       ##
##   BTC: bc1qvflsvddkmxh7eqhc4jyu5z5k6xcw3ay8jl49sk                                                     ##
##   ETH (ERC20): 0x83D3cFb8001BDC5d2211cBeBB8cB3461E5f7Ec91                                             ##
##   BEP20/BSC (ETH, BNB, ...): 0x86A0B21a20b39d16424B7c8003E4A7e12d78ABEe                               ##
##                                                                                                       ##
##               REFERRAL LINKS                                                                          ##
##                                                                                                       ##
##  Binance: https://accounts.binance.com/en/register?ref=37365811                                       ##
##  Kucoin: https://www.kucoin.com/ucenter/signup?rcode=rJTLZ9K                                          ##
##  Huobi: https://www.huobi.com/en-us/topic/double-reward/?invite_code=ubpt2223                         ##
###########################################################################################################

class NFIX_BB_RPB_v103(IStrategy):
    INTERFACE_VERSION = 3
    # ROI table:
    minimal_roi = {'0': 100.0}
    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
    # Optimal timeframe for the strategy.
    timeframe = '5m'
    res_timeframe = 'none'
    info_timeframe_1d = '1d'
    info_timeframe_1h = '1h'
    info_timeframe_15m = '15m'
    # BTC informative
    has_BTC_base_tf = False
    has_BTC_info_tf = True
    has_BTC_daily_tf = False
    # 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)
    holdSupportEnabled = True
    # Coin Metrics
    coin_metrics = {}
    coin_metrics['top_traded_enabled'] = False
    coin_metrics['top_traded_updated'] = False
    coin_metrics['top_traded_len'] = 10
    coin_metrics['tt_dataframe'] = DataFrame()
    coin_metrics['top_grossing_enabled'] = False
    coin_metrics['top_grossing_updated'] = False
    coin_metrics['top_grossing_len'] = 20
    coin_metrics['tg_dataframe'] = DataFrame()
    coin_metrics['current_whitelist'] = []
    # 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
    use_custom_stoploss = True
    # Number of candles the strategy requires before producing valid signals
    startup_candle_count: int = 480
    # Optional order type mapping.
    order_types = {'entry': 'limit', 'exit': 'limit', 'trailing_stop_loss': 'limit', 'stoploss': 'limit', 'stoploss_on_exchange': False, 'stoploss_on_exchange_interval': 60, 'stoploss_on_exchange_limit_ratio': 0.99}

    def custom_stoploss(self, pair: str, trade: 'Trade', current_time: datetime, current_rate: float, current_profit: float, **kwargs) -> float:
        sl_new = 1
        if current_profit > 0.2:
            sl_new = 0.05
        elif current_profit > 0.1:
            sl_new = 0.03
        elif current_profit > 0.06:
            sl_new = 0.02
        elif current_profit > 0.03:
            sl_new = 0.01
        return sl_new
    ## Confirm Slippage

    def confirm_trade_entry(self, pair: str, order_type: str, amount: float, rate: float, time_in_force: str, **kwargs) -> bool:
        dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe)
        max_slip = 0.668
        if len(dataframe) < 1:
            return False
        dataframe = dataframe.iloc[-1].squeeze()
        if rate > dataframe['close']:
            slippage = (rate / dataframe['close'] - 1) * 100
            #print("open rate is : " + str(rate))
            #print("last candle close is : " + str(dataframe['close']))
            #print("slippage is : " + str(slippage) )
            #print("############################################################################")
            if slippage < max_slip:
                return True
            else:
                return False
        return True
    #############################################################
    #############
    # Enable/Disable conditions
    ## BB_RPB begin
    # False
    ## quick mode
    ## BB_RPB end
    #############
    entry_params = {'entry_condition_1_enable': True, 'entry_condition_2_enable': True, 'entry_condition_3_enable': True, 'entry_condition_4_enable': True, 'entry_condition_5_enable': True, 'entry_condition_6_enable': True, 'entry_condition_7_enable': True, 'entry_condition_8_enable': True, 'entry_condition_9_enable': True, 'entry_condition_10_enable': True, 'entry_condition_11_enable': True, 'entry_condition_12_enable': True, 'entry_condition_13_enable': True, 'entry_condition_14_enable': True, 'entry_condition_15_enable': True, 'entry_condition_16_enable': True, 'entry_condition_17_enable': True, 'entry_condition_18_enable': True, 'entry_condition_19_enable': True, 'entry_condition_20_enable': True, 'entry_condition_21_enable': True, 'entry_condition_22_enable': True, 'entry_condition_23_enable': True, 'entry_condition_24_enable': True, 'entry_condition_25_enable': True, 'entry_condition_26_enable': True, 'entry_condition_27_enable': True, 'entry_condition_28_enable': True, 'entry_condition_29_enable': True, 'entry_condition_30_enable': True, 'entry_condition_31_enable': True, 'entry_condition_32_enable': True, 'entry_condition_33_enable': True, 'entry_condition_34_enable': True, 'entry_condition_101_enable': True, 'entry_condition_102_enable': True, 'entry_condition_103_enable': True, 'entry_condition_104_enable': True, 'entry_condition_105_enable': True, 'entry_condition_35_enable': True, 'entry_condition_36_enable': True, 'entry_condition_37_enable': True, 'entry_condition_38_enable': True, 'entry_condition_39_enable': True, 'entry_condition_40_enable': True, 'entry_condition_41_enable': True, 'entry_condition_42_enable': True, 'entry_condition_43_enable': True}
    #############
    # Enable/Disable conditions
    #############
    exit_params = {'exit_condition_1_enable': True}
    #############################################################
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # 0.03 0.015
    # 0.08
    # 0.48
    # 0.9
    # 0.7
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # ewo2
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # ewo
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # bb safe dump
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # 0.5
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    # pivot, sup1, sup2, sup3, res1, res2, res3
    entry_protection_params = {1: {'ema_fast': False, 'ema_fast_len': '26', 'ema_slow': True, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '28', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': 0.03, 'safe_dips_threshold_2': 0.06, 'safe_dips_threshold_12': 0.3, 'safe_dips_threshold_144': None, 'safe_pump_6h_threshold': 0.36, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 2: {'ema_fast': True, 'ema_fast_len': '50', 'ema_slow': True, 'ema_slow_len': '20', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '28', 'sma200_1h_rising': True, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': 0.03, 'safe_dips_threshold_2': 0.06, 'safe_dips_threshold_12': 0.3, 'safe_dips_threshold_144': None, 'safe_pump_6h_threshold': 0.4, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.4}, 3: {'ema_fast': False, 'ema_fast_len': '50', 'ema_slow': True, 'ema_slow_len': '20', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '28', 'sma200_1h_rising': True, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': 0.024, 'safe_dips_threshold_2': 0.06, 'safe_dips_threshold_12': 0.34, 'safe_dips_threshold_144': None, 'safe_pump_6h_threshold': 0.4, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'sup2', 'close_over_pivot_offset': 0.97, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 4: {'ema_fast': False, 'ema_fast_len': '50', 'ema_slow': False, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '28', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': 0.012, 'safe_dips_threshold_2': 0.09, 'safe_dips_threshold_12': 0.54, 'safe_dips_threshold_144': 0.9, 'safe_pump_6h_threshold': 0.6, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': 0.7, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'sup3', 'close_over_pivot_offset': 0.95, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.4}, 5: {'ema_fast': False, 'ema_fast_len': '50', 'ema_slow': False, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '28', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': 0.025, 'safe_dips_threshold_2': 0.09, 'safe_dips_threshold_12': 0.3, 'safe_dips_threshold_144': 0.9, 'safe_pump_6h_threshold': 0.4, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 0.95, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.4}, 6: {'ema_fast': False, 'ema_fast_len': '50', 'ema_slow': False, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '28', 'sma200_1h_rising': True, 'sma200_1h_rising_val': '36', 'safe_dips_threshold_0': 0.02, 'safe_dips_threshold_2': 0.09, 'safe_dips_threshold_12': 0.3, 'safe_dips_threshold_144': 0.9, 'safe_pump_6h_threshold': 0.4, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'pivot', 'close_over_pivot_offset': 0.98, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.4}, 7: {'ema_fast': True, 'ema_fast_len': '26', 'ema_slow': True, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '28', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '36', 'safe_dips_threshold_0': 0.02, 'safe_dips_threshold_2': 0.09, 'safe_dips_threshold_12': 0.3, 'safe_dips_threshold_144': 0.9, 'safe_pump_6h_threshold': 0.4, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': 0.8, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 0.98, 'close_under_pivot_type': 'res3', 'close_under_pivot_offset': 1.6}, 8: {'ema_fast': False, 'ema_fast_len': '26', 'ema_slow': True, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '28', 'sma200_1h_rising': True, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': 0.028, 'safe_dips_threshold_2': 0.09, 'safe_dips_threshold_12': 0.3, 'safe_dips_threshold_144': 0.9, 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'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 10: {'ema_fast': False, 'ema_fast_len': '26', 'ema_slow': False, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': True, 'sma200_rising_val': '30', 'sma200_1h_rising': True, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': 0.028, 'safe_dips_threshold_2': 0.09, 'safe_dips_threshold_12': 0.48, 'safe_dips_threshold_144': 0.9, 'safe_pump_6h_threshold': 0.4, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': 0.9, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 11: {'ema_fast': False, 'ema_fast_len': '26', 'ema_slow': True, 'ema_slow_len': '50', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '30', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': 0.028, 'safe_dips_threshold_2': 0.09, 'safe_dips_threshold_12': 0.48, 'safe_dips_threshold_144': 0.9, 'safe_pump_6h_threshold': 0.4, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': 0.9, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'sup2', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 12: {'ema_fast': False, 'ema_fast_len': '26', 'ema_slow': True, 'ema_slow_len': '50', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '30', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '50', 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None, 'safe_pump_36h_threshold': 0.9, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 14: {'ema_fast': False, 'ema_fast_len': '100', 'ema_slow': False, 'ema_slow_len': '50', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '44', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '72', 'safe_dips_threshold_0': 0.028, 'safe_dips_threshold_2': 0.09, 'safe_dips_threshold_12': 0.48, 'safe_dips_threshold_144': 0.9, 'safe_pump_6h_threshold': 0.4, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': 0.9, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 15: {'ema_fast': False, 'ema_fast_len': '100', 'ema_slow': True, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': True, 'sma200_rising_val': '24', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '72', 'safe_dips_threshold_0': 0.028, 'safe_dips_threshold_2': 0.09, 'safe_dips_threshold_12': 0.48, 'safe_dips_threshold_144': 0.9, 'safe_pump_6h_threshold': 0.4, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': 0.9, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 16: {'ema_fast': False, 'ema_fast_len': '100', 'ema_slow': False, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '24', 'sma200_1h_rising': True, 'sma200_1h_rising_val': '36', 'safe_dips_threshold_0': 0.02, 'safe_dips_threshold_2': 0.09, 'safe_dips_threshold_12': 0.26, 'safe_dips_threshold_144': 0.44, 'safe_pump_6h_threshold': 0.4, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': 0.9, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 17: {'ema_fast': False, 'ema_fast_len': '100', 'ema_slow': False, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '24', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '36', 'safe_dips_threshold_0': 0.028, 'safe_dips_threshold_2': 0.09, 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False, 'ema_fast_len': '12', 'ema_slow': True, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '30', 'sma200_1h_rising': None, 'sma200_1h_rising_val': '24', 'safe_dips_threshold_0': 0.028, 'safe_dips_threshold_2': 0.09, 'safe_dips_threshold_12': 0.26, 'safe_dips_threshold_144': 0.44, 'safe_pump_6h_threshold': 0.4, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 21: {'ema_fast': False, 'ema_fast_len': '12', 'ema_slow': True, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '30', 'sma200_1h_rising': None, 'sma200_1h_rising_val': '24', 'safe_dips_threshold_0': 0.028, 'safe_dips_threshold_2': 0.09, 'safe_dips_threshold_12': 0.26, 'safe_dips_threshold_144': 0.44, 'safe_pump_6h_threshold': 0.6, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 22: {'ema_fast': False, 'ema_fast_len': '12', 'ema_slow': True, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '30', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '24', 'safe_dips_threshold_0': 0.028, 'safe_dips_threshold_2': 0.09, 'safe_dips_threshold_12': 0.26, 'safe_dips_threshold_144': 0.44, 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'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 24: {'ema_fast': True, 'ema_fast_len': '50', 'ema_slow': True, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '30', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '24', 'safe_dips_threshold_0': 0.028, 'safe_dips_threshold_2': 0.09, 'safe_dips_threshold_12': 0.26, 'safe_dips_threshold_144': 0.44, 'safe_pump_6h_threshold': 0.4, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'res3', 'close_under_pivot_offset': 1.1}, 25: {'ema_fast': False, 'ema_fast_len': '50', 'ema_slow': False, 'ema_slow_len': '12', 'close_above_ema_fast': 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None, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 28: {'ema_fast': False, 'ema_fast_len': '50', 'ema_slow': False, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '30', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': 0.028, 'safe_dips_threshold_2': 0.09, 'safe_dips_threshold_12': 0.26, 'safe_dips_threshold_144': 0.44, 'safe_pump_6h_threshold': 0.5, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 29: {'ema_fast': False, 'ema_fast_len': '50', 'ema_slow': False, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '30', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': 0.028, 'safe_dips_threshold_2': 0.09, 'safe_dips_threshold_12': 0.26, 'safe_dips_threshold_144': 0.44, 'safe_pump_6h_threshold': 0.5, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 30: {'ema_fast': True, 'ema_fast_len': '50', 'ema_slow': True, 'ema_slow_len': '50', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '30', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': 0.028, 'safe_dips_threshold_2': 0.09, 'safe_dips_threshold_12': 0.26, 'safe_dips_threshold_144': 0.44, 'safe_pump_6h_threshold': 0.5, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': True, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 31: {'ema_fast': False, 'ema_fast_len': '50', 'ema_slow': False, 'ema_slow_len': '50', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '30', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': 0.024, 'safe_dips_threshold_2': 0.09, 'safe_dips_threshold_12': 0.26, 'safe_dips_threshold_144': 0.44, 'safe_pump_6h_threshold': 0.5, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 32: {'ema_fast': False, 'ema_fast_len': '50', 'ema_slow': False, 'ema_slow_len': '50', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '30', 'sma200_1h_rising': True, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': 0.028, 'safe_dips_threshold_2': 0.09, 'safe_dips_threshold_12': 0.26, 'safe_dips_threshold_144': 0.44, 'safe_pump_6h_threshold': 0.5, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 33: {'ema_fast': False, 'ema_fast_len': '50', 'ema_slow': False, 'ema_slow_len': '50', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '30', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': 0.028, 'safe_dips_threshold_2': 0.09, 'safe_dips_threshold_12': None, 'safe_dips_threshold_144': None, 'safe_pump_6h_threshold': 0.5, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': 0.8, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'res3', 'close_under_pivot_offset': 1.07}, 34: {'ema_fast': False, 'ema_fast_len': '50', 'ema_slow': False, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '30', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': 0.028, 'safe_dips_threshold_2': 0.066, 'safe_dips_threshold_12': None, 'safe_dips_threshold_144': None, 'safe_pump_6h_threshold': 0.5, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 101: {'ema_fast': False, 'ema_fast_len': '50', 'ema_slow': False, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '28', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': 0.025, 'safe_dips_threshold_2': 0.09, 'safe_dips_threshold_12': 0.3, 'safe_dips_threshold_144': 0.9, 'safe_pump_6h_threshold': 0.4, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 0.95, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.4}, 102: {'ema_fast': False, 'ema_fast_len': '26', 'ema_slow': False, 'ema_slow_len': '50', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '30', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': 0.028, 'safe_dips_threshold_2': 0.09, 'safe_dips_threshold_12': 0.48, 'safe_dips_threshold_144': 0.9, 'safe_pump_6h_threshold': 0.4, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': 0.9, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 103: {'ema_fast': False, 'ema_fast_len': '50', 'ema_slow': False, 'ema_slow_len': '50', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '30', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': 0.024, 'safe_dips_threshold_2': 0.09, 'safe_dips_threshold_12': 0.26, 'safe_dips_threshold_144': 0.44, 'safe_pump_6h_threshold': 0.5, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 104: {'ema_fast': False, 'ema_fast_len': '50', 'ema_slow': True, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '50', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '100', 'sma200_rising': False, 'sma200_rising_val': '30', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': 0.028, 'safe_dips_threshold_2': 0.3, 'safe_dips_threshold_12': 0.48, 'safe_dips_threshold_144': 0.9, 'safe_pump_6h_threshold': None, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 105: {'ema_fast': False, 'ema_fast_len': '26', 'ema_slow': False, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '28', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '24', 'safe_dips_threshold_0': 0.028, 'safe_dips_threshold_2': 0.3, 'safe_dips_threshold_12': 0.48, 'safe_dips_threshold_144': 0.9, 'safe_pump_6h_threshold': None, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': True, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 35: {'ema_fast': False, 'ema_fast_len': '50', 'ema_slow': False, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '30', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': 0.028, 'safe_dips_threshold_2': 0.066, 'safe_dips_threshold_12': 0.32, 'safe_dips_threshold_144': None, 'safe_pump_6h_threshold': 0.5, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 36: {'ema_fast': False, 'ema_fast_len': '50', 'ema_slow': False, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '30', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': 0.028, 'safe_dips_threshold_2': 0.09, 'safe_dips_threshold_12': None, 'safe_dips_threshold_144': None, 'safe_pump_6h_threshold': 0.5, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 37: {'ema_fast': False, 'ema_fast_len': '50', 'ema_slow': False, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '30', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': 0.029, 'safe_dips_threshold_2': 0.12, 'safe_dips_threshold_12': 0.28, 'safe_dips_threshold_144': None, 'safe_pump_6h_threshold': None, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'res3', 'close_under_pivot_offset': 1.2}, 38: {'ema_fast': False, 'ema_fast_len': '50', 'ema_slow': False, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '30', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': None, 'safe_dips_threshold_2': None, 'safe_dips_threshold_12': None, 'safe_dips_threshold_144': None, 'safe_pump_6h_threshold': 0.45, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': 2.0, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 39: {'ema_fast': False, 'ema_fast_len': '50', 'ema_slow': False, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '30', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': 0.02, 'safe_dips_threshold_2': None, 'safe_dips_threshold_12': None, 'safe_dips_threshold_144': None, 'safe_pump_6h_threshold': 0.55, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'res3', 'close_under_pivot_offset': 1.25}, 40: {'ema_fast': False, 'ema_fast_len': '50', 'ema_slow': False, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '30', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': 0.03, 'safe_dips_threshold_2': None, 'safe_dips_threshold_12': None, 'safe_dips_threshold_144': None, 'safe_pump_6h_threshold': 0.55, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': 0.7, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': None, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 41: {'ema_fast': False, 'ema_fast_len': '12', 'ema_slow': False, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '42', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': 0.018, 'safe_dips_threshold_2': 0.08, 'safe_dips_threshold_12': 0.2, 'safe_dips_threshold_144': None, 'safe_pump_6h_threshold': 0.5, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': 3.2, 'btc_1h_not_downtrend': True, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}, 42: {'ema_fast': False, 'ema_fast_len': '12', 'ema_slow': False, 'ema_slow_len': '12', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '42', 'sma200_1h_rising': False, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': 0.022, 'safe_dips_threshold_2': 0.09, 'safe_dips_threshold_12': None, 'safe_dips_threshold_144': 0.4, 'safe_pump_6h_threshold': 0.5, 'safe_pump_12h_threshold': None, 'safe_pump_24h_threshold': 0.5, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': 1.4, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'none', 'close_over_pivot_offset': 1.0, 'close_under_pivot_type': 'res3', 'close_under_pivot_offset': 1.0}, 43: {'ema_fast': False, 'ema_fast_len': '12', 'ema_slow': False, 'ema_slow_len': '50', 'close_above_ema_fast': False, 'close_above_ema_fast_len': '200', 'close_above_ema_slow': False, 'close_above_ema_slow_len': '200', 'sma200_rising': False, 'sma200_rising_val': '42', 'sma200_1h_rising': True, 'sma200_1h_rising_val': '50', 'safe_dips_threshold_0': 0.03, 'safe_dips_threshold_2': 0.09, 'safe_dips_threshold_12': None, 'safe_dips_threshold_144': None, 'safe_pump_6h_threshold': None, 'safe_pump_12h_threshold': 0.9, 'safe_pump_24h_threshold': None, 'safe_pump_36h_threshold': None, 'safe_pump_48h_threshold': 1.0, 'btc_1h_not_downtrend': False, 'close_over_pivot_type': 'sup3', 'close_over_pivot_offset': 0.99, 'close_under_pivot_type': 'none', 'close_under_pivot_offset': 1.0}}
    # Sell
    exit_condition_1_enable = True
    #############################################################
    # CACHES
    hold_trades_cache = None
    target_profit_cache = None
    #############################################################

    def __init__(self, config: dict) -> None:
        super().__init__(config)
        if self.target_profit_cache is None:
            self.target_profit_cache = Cache(self.config['user_data_dir'] / 'data-nfi-profit_target_by_pair.json')
        # If the cached data hasn't changed, it's a no-op
        self.target_profit_cache.save()

    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

    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()

    def whitelist_tracker(self):
        if sorted(self.coin_metrics['current_whitelist']) != sorted(self.dp.current_whitelist()):
            log.info('Whitelist has changed...')
            self.coin_metrics['top_traded_updated'] = False
            self.coin_metrics['top_grossing_updated'] = False
            # Update pairlist
            self.coin_metrics['current_whitelist'] = self.dp.current_whitelist()
            # Move up BTC for largest data footprint
            self.coin_metrics['current_whitelist'].insert(0, self.coin_metrics['current_whitelist'].pop(self.coin_metrics['current_whitelist'].index(f"BTC/{self.config['stake_currency']}")))

    def top_traded_list(self):
        log.info('Updating top traded pairlist...')
        tik = time.perf_counter()
        self.coin_metrics['tt_dataframe'] = DataFrame()
        # Build traded volume dataframe
        for coin_pair in self.coin_metrics['current_whitelist']:
            coin = coin_pair.split('/')[0]
            # Get the volume for the daily informative timeframe and name the column for the coin
            pair_dataframe = self.dp.get_pair_dataframe(pair=coin_pair, timeframe=self.info_timeframe_1d)
            pair_dataframe.set_index('date')
            if self.config['runmode'].value in ('live', 'dry_run'):
                pair_dataframe = pair_dataframe.iloc[-7:, :]
            # Set the date index of the self.coin_metrics['tt_dataframe'] once
            if not 'date' in self.coin_metrics['tt_dataframe']:
                self.coin_metrics['tt_dataframe']['date'] = pair_dataframe['date']
                self.coin_metrics['tt_dataframe'].set_index('date')
            # Calculate daily traded volume
            pair_dataframe[coin] = pair_dataframe['volume'] * qtpylib.typical_price(pair_dataframe)
            # Drop the columns we don't need
            pair_dataframe.drop(columns=['open', 'high', 'low', 'close', 'volume'], inplace=True)
            # Merge it in on the date key
            self.coin_metrics['tt_dataframe'] = self.coin_metrics['tt_dataframe'].merge(pair_dataframe, on='date', how='left')
        # Forward fill empty cells (due to different df shapes)
        self.coin_metrics['tt_dataframe'].fillna(0, inplace=True)
        # Store and drop date column for value sorting
        pair_dates = self.coin_metrics['tt_dataframe']['date']
        self.coin_metrics['tt_dataframe'].drop(columns=['date'], inplace=True)
        # Build columns and top traded coins
        column_names = [f'Coin #{i}' for i in range(1, self.coin_metrics['top_traded_len'] + 1)]
        self.coin_metrics['tt_dataframe'][column_names] = self.coin_metrics['tt_dataframe'].apply(lambda x: x.nlargest(self.coin_metrics['top_traded_len']).index.values, axis=1, result_type='expand')
        self.coin_metrics['tt_dataframe'].drop(columns=[col for col in self.coin_metrics['tt_dataframe'] if col not in column_names], inplace=True)
        # Re-add stored date column
        self.coin_metrics['tt_dataframe'].insert(loc=0, column='date', value=pair_dates)
        self.coin_metrics['tt_dataframe'].set_index('date')
        self.coin_metrics['top_traded_updated'] = True
        log.info('Updated top traded pairlist (tail-5):')
        log.info(f"\n{self.coin_metrics['tt_dataframe'].tail(5)}")
        tok = time.perf_counter()
        log.info(f'Updating top traded pairlist took {tok - tik:0.4f} seconds...')

    def top_grossing_list(self):
        log.info('Updating top grossing pairlist...')
        tik = time.perf_counter()
        self.coin_metrics['tg_dataframe'] = DataFrame()
        # Build grossing volume dataframe
        for coin_pair in self.coin_metrics['current_whitelist']:
            coin = coin_pair.split('/')[0]
            # Get the volume for the daily informative timeframe and name the column for the coin
            pair_dataframe = self.dp.get_pair_dataframe(pair=coin_pair, timeframe=self.info_timeframe_1d)
            pair_dataframe.set_index('date')
            if self.config['runmode'].value in ('live', 'dry_run'):
                pair_dataframe = pair_dataframe.iloc[-7:, :]
            # Set the date index of the self.coin_metrics['tg_dataframe'] once
            if not 'date' in self.coin_metrics['tg_dataframe']:
                self.coin_metrics['tg_dataframe']['date'] = pair_dataframe['date']
                self.coin_metrics['tg_dataframe'].set_index('date')
            # Calculate daily grossing rate
            pair_dataframe[coin] = pair_dataframe['close'].pct_change() * 100
            # Drop the columns we don't need
            pair_dataframe.drop(columns=['open', 'high', 'low', 'close', 'volume'], inplace=True)
            # Merge it in on the date key
            self.coin_metrics['tg_dataframe'] = self.coin_metrics['tg_dataframe'].merge(pair_dataframe, on='date', how='left')
        # Forward fill empty cells (due to different df shapes)
        self.coin_metrics['tg_dataframe'].fillna(0, inplace=True)
        # Store and drop date column for value sorting
        pair_dates = self.coin_metrics['tg_dataframe']['date']
        self.coin_metrics['tg_dataframe'].drop(columns=['date'], inplace=True)
        # Build columns and top grossing coins
        column_names = [f'Coin #{i}' for i in range(1, self.coin_metrics['top_grossing_len'] + 1)]
        self.coin_metrics['tg_dataframe'][column_names] = self.coin_metrics['tg_dataframe'].apply(lambda x: x.nlargest(self.coin_metrics['top_grossing_len']).index.values, axis=1, result_type='expand')
        self.coin_metrics['tg_dataframe'].drop(columns=[col for col in self.coin_metrics['tg_dataframe'] if col not in column_names], inplace=True)
        # Re-add stored date column
        self.coin_metrics['tg_dataframe'].insert(loc=0, column='date', value=pair_dates)
        self.coin_metrics['tg_dataframe'].set_index('date')
        self.coin_metrics['top_grossing_updated'] = True
        log.info('Updated top grossing pairlist (tail-5):')
        log.info(f"\n{self.coin_metrics['tg_dataframe'].tail(5)}")
        tok = time.perf_counter()
        log.info(f'Updating top grossing pairlist took {tok - tik:0.4f} seconds...')

    def is_top_coin(self, coin_pair, row_data, top_length) -> bool:
        return coin_pair.split('/')[0] in row_data.loc['Coin #1':f'Coin #{top_length}'].values

    def is_support(self, row_data) -> bool:
        conditions = []
        for row in range(len(row_data) - 1):
            if row < len(row_data) / 2:
                conditions.append(row_data[row] > row_data[row + 1])
            else:
                conditions.append(row_data[row] < row_data[row + 1])
        return reduce(lambda x, y: x & y, conditions)

    def is_resistance(self, row_data) -> bool:
        conditions = []
        for row in range(len(row_data) - 1):
            if row < len(row_data) / 2:
                conditions.append(row_data[row] < row_data[row + 1])
            else:
                conditions.append(row_data[row] > row_data[row + 1])
        return reduce(lambda x, y: x & y, conditions)

    def bot_loop_start(self, **kwargs) -> None:
        """
        Called at the start of the bot iteration (one loop).
        Might be used to perform pair-independent tasks
        (e.g. gather some remote resource for comparison)
        :param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
        """
        # Coin metrics mechanism
        if self.coin_metrics['top_traded_enabled'] or self.coin_metrics['top_grossing_enabled']:
            self.whitelist_tracker()
        if self.coin_metrics['top_traded_enabled'] and (not self.coin_metrics['top_traded_updated']):
            self.top_traded_list()
        if self.coin_metrics['top_grossing_enabled'] and (not self.coin_metrics['top_grossing_updated']):
            self.top_grossing_list()
        if self.config['runmode'].value not in ('live', 'dry_run'):
            return super().bot_loop_start(**kwargs)
        if self.holdSupportEnabled:
            self.load_hold_trades_config()
        return super().bot_loop_start(**kwargs)

    def get_ticker_indicator(self):
        return int(self.timeframe[:-1])

    def exit_signals(self, current_profit: float, max_profit: float, max_loss: float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', enter_tag) -> tuple:
        # Sell signal 1
        if last_candle['rsi_14'] > 79.0 and last_candle['close'] > last_candle['bb20_2_upp'] and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']) and (previous_candle_3['close'] > previous_candle_3['bb20_2_upp']) and (previous_candle_4['close'] > previous_candle_4['bb20_2_upp']) and (previous_candle_5['close'] > previous_candle_5['bb20_2_upp']):
            if last_candle['close'] > last_candle['ema_200']:
                if current_profit > 0.01:
                    return (True, 'exit_signal_1_1_1')
            elif current_profit > 0.01:
                return (True, 'exit_signal_1_2_1')
        # elif (current_profit < -0.05) and (max_loss > 0.12):
        #     return True, 'exit_signal_1_2_2'
        # Sell signal 2
        elif last_candle['rsi_14'] > 80.0 and last_candle['close'] > last_candle['bb20_2_upp'] and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']) and (previous_candle_3['close'] > previous_candle_3['bb20_2_upp']):
            if last_candle['close'] > last_candle['ema_200']:
                if current_profit > 0.01:
                    return (True, 'exit_signal_2_1_1')
            elif current_profit > 0.01:
                return (True, 'exit_signal_2_2_1')
        # elif (current_profit < -0.05) and (max_loss > 0.12):
        #     return True, 'exit_signal_2_2_2'
        # Sell signal 3
        elif last_candle['rsi_14'] > 83.0:
            if last_candle['close'] > last_candle['ema_200']:
                if current_profit > 0.01:
                    return (True, 'exit_signal_3_1_1')
            elif current_profit > 0.01:
                return (True, 'exit_signal_3_2_1')
        # elif (current_profit < -0.05) and (max_loss > 0.12):
        #     return True, 'exit_signal_3_2_2'
        # Sell signal 4
        elif last_candle['rsi_14'] > 78.0 and last_candle['rsi_14_1h'] > 78.0:
            if last_candle['close'] > last_candle['ema_200']:
                if current_profit > 0.01:
                    return (True, 'exit_signal_4_1_1')
            elif current_profit > 0.01:
                return (True, 'exit_signal_4_2_1')
        # elif (current_profit < -0.05) and (max_loss > 0.12):
        #     return True, 'exit_signal_4_2_2'
        # Sell signal 6
        elif last_candle['close'] < last_candle['ema_200'] and last_candle['close'] > last_candle['ema_50'] and (last_candle['rsi_14'] > 79.5):
            if current_profit > 0.01:
                return (True, 'exit_signal_6_1')
        # elif (current_profit < -0.05) and (max_loss > 0.12):
        #     return True, 'exit_signal_6_2'
        # Sell signal 7
        elif last_candle['rsi_14_1h'] > 80.0 and last_candle['crossed_below_ema_12_26']:
            if last_candle['close'] > last_candle['ema_200']:
                if current_profit > 0.01:
                    return (True, 'exit_signal_7_1_1')
            elif current_profit > 0.01:
                return (True, 'exit_signal_7_2_1')
        # elif (current_profit < -0.05) and (max_loss > 0.12):
        #     return True, 'exit_signal_7_2_2'
        # Sell signal 8
        elif last_candle['close'] > last_candle['bb20_2_upp_1h'] * 1.08:
            if last_candle['close'] > last_candle['ema_200']:
                if current_profit > 0.01:
                    return (True, 'exit_signal_8_1_1')
            elif current_profit > 0.01:
                return (True, 'exit_signal_8_2_1')
        # elif (current_profit < -0.05) and (max_loss > 0.12):
        #     return True, 'exit_signal_8_2_2'
        return (False, None)

    def exit_stoploss(self, current_profit: float, max_profit: float, max_loss: float, last_candle, previous_candle_1, trade: 'Trade', current_time: 'datetime') -> tuple:
        if last_candle['sma_200_dec_20'] and last_candle['ema_vwma_osc_32'] < -0.0 and (last_candle['ema_vwma_osc_64'] < -0.0) and (last_candle['ema_vwma_osc_96'] < -0.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (current_time - timedelta(minutes=1440) > trade.open_date_utc):
            if -0.12 <= current_profit < -0.0:
                if last_candle['close'] < last_candle['atr_high_thresh_1'] and previous_candle_1['close'] > previous_candle_1['atr_high_thresh_1']:
                    return (True, 'exit_stoploss_atr_1')
            elif -0.16 <= current_profit < -0.12:
                if last_candle['close'] < last_candle['atr_high_thresh_2'] and previous_candle_1['close'] > previous_candle_1['atr_high_thresh_2']:
                    return (True, 'exit_stoploss_atr_2')
            elif -0.2 <= current_profit < -0.16:
                if last_candle['close'] < last_candle['atr_high_thresh_3'] and previous_candle_1['close'] > previous_candle_1['atr_high_thresh_3']:
                    return (True, 'exit_stoploss_atr_3')
            elif current_profit < -0.2:
                if last_candle['close'] < last_candle['atr_high_thresh_4'] and previous_candle_1['close'] > previous_candle_1['atr_high_thresh_4']:
                    return (True, 'exit_stoploss_atr_4')
        # Under & near EMA200, local uptrend move
        if current_profit < -0.05 and last_candle['close'] < last_candle['ema_200'] * 0.988 and (last_candle['cmf'] < -0.046) and ((last_candle['ema_200'] - last_candle['close']) / last_candle['close'] < 0.022) and (last_candle['rsi_14'] > previous_candle_1['rsi_14']) and (last_candle['rsi_14'] > last_candle['rsi_14_1h'] + 10.0) and last_candle['sma_200_dec_24']:
            return (True, 'exit_stoploss_u_e_1')
        # # if (
        # #         (current_profit < -0.00)
        # #         and (last_candle['close'] < last_candle['ema_200'])
        # #         and (last_candle['cmf'] < 0.0)
        # #         and (((last_candle['ema_200'] - last_candle['close']) / last_candle['close']) < 0.024)
        # #         and last_candle['rsi_14'] > previous_candle_1['rsi_14']
        # #         and (last_candle['rsi_14'] > (last_candle['rsi_14_1h'] + 10.0))
        # #         and (last_candle['sma_200_dec_24'])
        # #         and (current_time - timedelta(minutes=60) > trade.open_date_utc)
        # # ):
        # #     return True, 'exit_stoploss_u_e_2'
        # # # Under EMA200, local strong uptrend move
        # # if (
        # #         (current_profit < -0.08)
        # #         and (last_candle['close'] < last_candle['ema_200'])
        # #         and (last_candle['cmf'] < 0.0)
        # #         and last_candle['rsi_14'] > previous_candle_1['rsi_14']
        # #         and (last_candle['rsi_14'] > (last_candle['rsi_14_1h'] + 24.0))
        # #         and (last_candle['sma_200_dec_20'])
        # #         and (last_candle['sma_200_dec_24'])
        # #         and (current_time - timedelta(minutes=2880) > trade.open_date_utc)
        # # ):
        # #     return True, 'exit_stoploss_u_e_2'
        # # Under EMA200, pair negative, low max rate
        # if (
        #         (current_profit < -0.08)
        #         and (max_profit < 0.05)
        #         and (last_candle['close'] < last_candle['ema_200'])
        #         and (last_candle['ema_25'] < last_candle['ema_50'])
        #         and (last_candle['sma_200_dec_20'])
        #         and (last_candle['sma_200_dec_24'])
        #         and (last_candle['sma_200_dec_20_1h'])
        #         and (last_candle['ema_vwma_osc_32'] < 0.0)
        #         and (last_candle['ema_vwma_osc_64'] < 0.0)
        #         and (last_candle['ema_vwma_osc_96'] < 0.0)
        #         and (last_candle['cmf'] < -0.0)
        #         and (last_candle['cmf_1h'] < -0.0)
        #         and (last_candle['close'] < last_candle['sup_level_1h'])
        #         and (last_candle['btc_not_downtrend_1h'] == False)
        #         and (current_time - timedelta(minutes=2880) > trade.open_date_utc)
        # ):
        #     return True, 'exit_stoploss_u_e_doom'
        # # Under EMA200, pair and BTC negative, low max rate
        # if (
        #         (-0.05 > current_profit > -0.09)
        #         and (last_candle['btc_not_downtrend_1h'] == False)
        #         and (last_candle['ema_vwma_osc_32'] < 0.0)
        #         and (last_candle['ema_vwma_osc_64'] < 0.0)
        #         and (last_candle['ema_vwma_osc_96'] < 0.0)
        #         and (max_profit < 0.005)
        #         and (max_loss < 0.09)
        #         and (last_candle['ema_vwma_osc_96'] < 0.0)
        #         and (max_profit < 0.005)
        #         and (max_loss < 0.09)
        #         and (last_candle['sma_200_dec_20'])
        #         and (last_candle['sma_200_dec_24'])
        #         and (last_candle['sma_200_dec_20_1h'])
        #         and (last_candle['cmf'] < -0.0)
        #         and (last_candle['close'] < last_candle['ema_200'])
        #         and (last_candle['ema_25'] < last_candle['ema_50'])
        #         and (last_candle['cti'] < -0.8)
        #         and (last_candle['r_480'] < -50.0)
        # ):
        #     return True, 'exit_stoploss_u_e_b_1'
        # # # Under EMA200, pair and BTC negative, CTI, Elder Ray Index negative, normal max rate
        # # elif (
        # #         (-0.1 > current_profit > -0.2)
        # #         and (last_candle['btc_not_downtrend_1h'] == False)
        # #         and (last_candle['ema_vwma_osc_32'] < 0.0)
        # #         and (last_candle['ema_vwma_osc_64'] < 0.0)
        # #         and (last_candle['ema_vwma_osc_96'] < 0.0)
        # #         and (max_profit < 0.05)
        # #         and (max_loss < 0.2)
        # #         and (last_candle['sma_200_dec_24'])
        # #         and (last_candle['sma_200_dec_20_1h'])
        # #         and (last_candle['cmf'] < -0.45)
        # #         and (last_candle['close'] < last_candle['ema_200'])
        # #         and (last_candle['ema_25'] < last_candle['ema_50'])
        # #         and (last_candle['cti'] < -0.8)
        # #         and (last_candle['r_480'] < -97.0)
        # # ):
        # #     return True, 'signal_stoploss_u_e_b_2'
        return (False, None)

    def exit_over_main(self, current_profit: float, last_candle) -> tuple:
        if last_candle['close'] > last_candle['ema_200']:
            if last_candle['ema_vwma_osc_96']:
                if current_profit >= 0.2:
                    if last_candle['rsi_14'] < 30.0 and last_candle['cmf'] < 0.0:
                        return (True, 'exit_profit_o_bull_12_1')
                    elif last_candle['rsi_14'] < 34.0 and last_candle['cmf'] < -0.4:
                        return (True, 'exit_profit_o_bull_12_2')
                elif 0.2 > current_profit >= 0.12:
                    if last_candle['rsi_14'] < 32.0 and last_candle['cmf'] < 0.0:
                        return (True, 'exit_profit_o_bull_11_1')
                    elif last_candle['rsi_14'] < 36.0 and last_candle['cmf'] < -0.4:
                        return (True, 'exit_profit_o_bull_11_2')
                elif 0.12 > current_profit >= 0.1:
                    if last_candle['rsi_14'] < 40.0 and last_candle['cmf'] < 0.0:
                        return (True, 'exit_profit_o_bull_10_1')
                    elif last_candle['rsi_14'] < 44.0 and last_candle['cmf'] < -0.4:
                        return (True, 'exit_profit_o_bull_10_2')
                elif 0.1 > current_profit >= 0.09:
                    if last_candle['rsi_14'] < 41.0 and last_candle['cmf'] < 0.0:
                        return (True, 'exit_profit_o_bull_9_1')
                    elif last_candle['rsi_14'] < 48.0 and last_candle['cmf'] < -0.4:
                        return (True, 'exit_profit_o_bull_9_2')
                elif 0.09 > current_profit >= 0.08:
                    if last_candle['rsi_14'] < 39.0 and last_candle['cmf'] < 0.0:
                        return (True, 'exit_profit_o_bull_8_1')
                    elif last_candle['rsi_14'] < 49.0 and last_candle['cmf'] < -0.4:
                        return (True, 'exit_profit_o_bull_8_2')
                elif 0.08 > current_profit >= 0.07:
                    if last_candle['rsi_14'] < 38.0 and last_candle['cmf'] < 0.0:
                        return (True, 'exit_profit_o_bull_7_1')
                    elif last_candle['rsi_14'] < 50.0 and last_candle['cmf'] < -0.4:
                        return (True, 'exit_profit_o_bull_7_2')
                elif 0.07 > current_profit >= 0.06:
                    if last_candle['rsi_14'] < 37.0 and last_candle['cmf'] < 0.0:
                        return (True, 'exit_profit_o_bull_6_1')
                    elif last_candle['rsi_14'] < 54.0 and last_candle['cmf'] < -0.4:
                        return (True, 'exit_profit_o_bull_6_2')
                elif 0.06 > current_profit >= 0.05:
                    if last_candle['rsi_14'] < 36.0 and last_candle['cmf'] < 0.0:
                        return (True, 'exit_profit_o_bull_5_1')
                    elif last_candle['rsi_14'] < 58.0 and last_candle['cmf'] < -0.4:
                        return (True, 'exit_profit_o_bull_5_2')
                elif 0.05 > current_profit >= 0.04:
                    if last_candle['rsi_14'] < 35.0 and last_candle['cmf'] < 0.0:
                        return (True, 'exit_profit_o_bull_4_1')
                    elif last_candle['rsi_14'] < 62.0 and last_candle['cmf'] < -0.4:
                        return (True, 'exit_profit_o_bull_4_2')
                elif 0.04 > current_profit >= 0.03:
                    if last_candle['rsi_14'] < 34.0 and last_candle['cmf'] < 0.0:
                        return (True, 'exit_profit_o_bull_3_1')
                    elif last_candle['rsi_14'] < 56.0 and last_candle['cmf'] < -0.4:
                        return (True, 'exit_profit_o_bull_3_2')
                elif 0.03 > current_profit >= 0.02:
                    if last_candle['rsi_14'] < 33.0 and last_candle['cmf'] < 0.0:
                        return (True, 'exit_profit_o_bull_2_1')
                    elif last_candle['rsi_14'] < 50.0 and last_candle['cmf'] < -0.4:
                        return (True, 'exit_profit_o_bull_2_2')
                elif 0.02 > current_profit >= 0.012:
                    if last_candle['rsi_14'] < 32.0 and last_candle['cmf'] < 0.0:
                        return (True, 'exit_profit_o_bull_1_1')
                    elif last_candle['rsi_14'] < 44.0 and last_candle['cmf'] < -0.4:
                        return (True, 'exit_profit_o_bull_1_2')
            elif current_profit >= 0.2:
                if last_candle['rsi_14'] < 31.0 and last_candle['cmf'] < 0.0:
                    return (True, 'exit_profit_o_bear_12_1')
                elif last_candle['rsi_14'] < 34.0 and last_candle['cmf'] < -0.4:
                    return (True, 'exit_profit_o_bear_12_2')
            elif 0.2 > current_profit >= 0.12:
                if last_candle['rsi_14'] < 33.0 and last_candle['cmf'] < 0.0:
                    return (True, 'exit_profit_o_bear_11_1')
                elif last_candle['rsi_14'] < 36.0 and last_candle['cmf'] < -0.4:
                    return (True, 'exit_profit_o_bear_11_2')
            elif 0.12 > current_profit >= 0.1:
                if last_candle['rsi_14'] < 41.0 and last_candle['cmf'] < 0.0:
                    return (True, 'exit_profit_o_bear_10_1')
                elif last_candle['rsi_14'] < 44.0 and last_candle['cmf'] < -0.4:
                    return (True, 'exit_profit_o_bear_10_2')
            elif 0.1 > current_profit >= 0.09:
                if last_candle['rsi_14'] < 42.0 and last_candle['cmf'] < 0.0:
                    return (True, 'exit_profit_o_bear_9_1')
                elif last_candle['rsi_14'] < 49.0 and last_candle['cmf'] < -0.4:
                    return (True, 'exit_profit_o_bear_9_2')
            elif 0.09 > current_profit >= 0.08:
                if last_candle['rsi_14'] < 40.0 and last_candle['cmf'] < 0.0:
                    return (True, 'exit_profit_o_bear_8_1')
                elif last_candle['rsi_14'] < 49.0 and last_candle['cmf'] < -0.4:
                    return (True, 'exit_profit_o_bear_8_2')
            elif 0.08 > current_profit >= 0.07:
                if last_candle['rsi_14'] < 39.0 and last_candle['cmf'] < 0.0:
                    return (True, 'exit_profit_o_bear_7_1')
                elif last_candle['rsi_14'] < 50.0 and last_candle['cmf'] < -0.4:
                    return (True, 'exit_profit_o_bear_7_2')
            elif 0.07 > current_profit >= 0.06:
                if last_candle['rsi_14'] < 38.0 and last_candle['cmf'] < 0.0:
                    return (True, 'exit_profit_o_bear_6_1')
                elif last_candle['rsi_14'] < 54.0 and last_candle['cmf'] < -0.4:
                    return (True, 'exit_profit_o_bear_6_2')
            elif 0.06 > current_profit >= 0.05:
                if last_candle['rsi_14'] < 37.0 and last_candle['cmf'] < 0.0:
                    return (True, 'exit_profit_o_bear_5_1')
                elif last_candle['rsi_14'] < 58.0 and last_candle['cmf'] < -0.4:
                    return (True, 'exit_profit_o_bear_5_2')
            elif 0.05 > current_profit >= 0.04:
                if last_candle['rsi_14'] < 36.0 and last_candle['cmf'] < 0.0:
                    return (True, 'exit_profit_o_bear_4_1')
                elif last_candle['rsi_14'] < 62.0 and last_candle['cmf'] < -0.4:
                    return (True, 'exit_profit_o_bear_4_2')
            elif 0.04 > current_profit >= 0.03:
                if last_candle['rsi_14'] < 35.0 and last_candle['cmf'] < 0.0:
                    return (True, 'exit_profit_o_bear_3_1')
                elif last_candle['rsi_14'] < 56.0 and last_candle['cmf'] < -0.4:
                    return (True, 'exit_profit_o_bear_3_2')
            elif 0.03 > current_profit >= 0.02:
                if last_candle['rsi_14'] < 34.0 and last_candle['cmf'] < 0.0:
                    return (True, 'exit_profit_o_bear_2_1')
                elif last_candle['rsi_14'] < 50.0 and last_candle['cmf'] < -0.4:
                    return (True, 'exit_profit_o_bear_2_2')
            elif 0.02 > current_profit >= 0.012:
                if last_candle['rsi_14'] < 33.0 and last_candle['cmf'] < 0.0:
                    return (True, 'exit_profit_o_bear_1_1')
                elif last_candle['rsi_14'] < 44.0 and last_candle['cmf'] < -0.4:
                    return (True, 'exit_profit_o_bear_1_2')
        return (False, None)

    def exit_under_main(self, current_profit: float, last_candle) -> tuple:
        if last_candle['close'] < last_candle['ema_200']:
            if last_candle['ema_vwma_osc_96'] > 0.0:
                if current_profit >= 0.2:
                    if last_candle['rsi_14'] < 31.0 and last_candle['cmf'] < 0.0:
                        return (True, 'exit_profit_u_bull_12_1')
                    elif last_candle['rsi_14'] < 34.0 and last_candle['cmf'] < -0.4:
                        return (True, 'exit_profit_u_bull_12_2')
                elif 0.2 > current_profit >= 0.12:
                    if last_candle['rsi_14'] < 33.0 and last_candle['cmf'] < 0.0:
                        return (True, 'exit_profit_u_bull_11_1')
                    elif last_candle['rsi_14'] < 36.0 and last_candle['cmf'] < -0.4:
                        return (True, 'exit_profit_o_bull_11_2')
                elif 0.12 > current_profit >= 0.1:
                    if last_candle['rsi_14'] < 41.0 and last_candle['cmf'] < 0.0:
                        return (True, 'exit_profit_u_bull_10_1')
                    elif last_candle['rsi_14'] < 44.0 and last_candle['cmf'] < -0.4:
                        return (True, 'exit_profit_u_bull_10_2')
                elif 0.1 > current_profit >= 0.09:
                    if last_candle['rsi_14'] < 42.0 and last_candle['cmf'] < 0.0:
                        return (True, 'exit_profit_u_bull_9_1')
                    elif last_candle['rsi_14'] < 49.0 and last_candle['cmf'] < -0.4:
                        return (True, 'exit_profit_u_bull_9_2')
                elif 0.09 > current_profit >= 0.08:
                    if last_candle['rsi_14'] < 40.0 and last_candle['cmf'] < 0.0:
                        return (True, 'exit_profit_u_bull_8_1')
                    elif last_candle['rsi_14'] < 49.0 and last_candle['cmf'] < -0.4:
                        return (True, 'exit_profit_u_bull_8_2')
                elif 0.08 > current_profit >= 0.07:
                    if last_candle['rsi_14'] < 39.0 and last_candle['cmf'] < 0.0:
                        return (True, 'exit_profit_u_bull_7_1')
                    elif last_candle['rsi_14'] < 50.0 and last_candle['cmf'] < -0.4:
                        return (True, 'exit_profit_u_bull_7_2')
                elif 0.07 > current_profit >= 0.06:
                    if last_candle['rsi_14'] < 38.0 and last_candle['cmf'] < 0.0:
                        return (True, 'exit_profit_u_bull_6_1')
                    elif last_candle['rsi_14'] < 54.0 and last_candle['cmf'] < -0.4:
                        return (True, 'exit_profit_u_bull_6_2')
                elif 0.06 > current_profit >= 0.05:
                    if last_candle['rsi_14'] < 37.0 and last_candle['cmf'] < 0.0:
                        return (True, 'exit_profit_u_bull_5_1')
                    elif last_candle['rsi_14'] < 58.0 and last_candle['cmf'] < -0.4:
                        return (True, 'exit_profit_u_bull_5_2')
                elif 0.05 > current_profit >= 0.04:
                    if last_candle['rsi_14'] < 36.0 and last_candle['cmf'] < 0.0:
                        return (True, 'exit_profit_u_bull_4_1')
                    elif last_candle['rsi_14'] < 62.0 and last_candle['cmf'] < -0.4:
                        return (True, 'exit_profit_u_bull_4_2')
                elif 0.04 > current_profit >= 0.03:
                    if last_candle['rsi_14'] < 35.0 and last_candle['cmf'] < 0.0:
                        return (True, 'exit_profit_u_bull_3_1')
                    elif last_candle['rsi_14'] < 56.0 and last_candle['cmf'] < -0.4:
                        return (True, 'exit_profit_u_bull_3_2')
                elif 0.03 > current_profit >= 0.02:
                    if last_candle['rsi_14'] < 34.0 and last_candle['cmf'] < 0.0:
                        return (True, 'exit_profit_u_bull_2_1')
                    elif last_candle['rsi_14'] < 50.0 and last_candle['cmf'] < -0.4:
                        return (True, 'exit_profit_u_bull_2_2')
                elif 0.02 > current_profit >= 0.01:
                    if last_candle['rsi_14'] < 33.0 and last_candle['cmf'] < 0.0:
                        return (True, 'exit_profit_u_bull_1_1')
                    elif last_candle['rsi_14'] < 44.0 and last_candle['cmf'] < -0.4:
                        return (True, 'exit_profit_u_bull_1_2')
            elif current_profit >= 0.2:
                if last_candle['rsi_14'] < 32.0 and last_candle['cmf'] < 0.0:
                    return (True, 'exit_profit_u_bear_12_1')
                elif last_candle['rsi_14'] < 34.0 and last_candle['cmf'] < -0.4:
                    return (True, 'exit_profit_u_bear_12_2')
            elif 0.2 > current_profit >= 0.12:
                if last_candle['rsi_14'] < 34.0 and last_candle['cmf'] < 0.0:
                    return (True, 'exit_profit_u_bear_11_1')
                elif last_candle['rsi_14'] < 36.0 and last_candle['cmf'] < -0.4:
                    return (True, 'exit_profit_u_bear_11_2')
            elif 0.12 > current_profit >= 0.1:
                if last_candle['rsi_14'] < 42.0 and last_candle['cmf'] < 0.0:
                    return (True, 'exit_profit_u_bear_10_1')
                elif last_candle['rsi_14'] < 44.0 and last_candle['cmf'] < -0.4:
                    return (True, 'exit_profit_u_bear_10_2')
            elif 0.1 > current_profit >= 0.09:
                if last_candle['rsi_14'] < 43.0 and last_candle['cmf'] < 0.0:
                    return (True, 'exit_profit_u_bear_9_1')
                elif last_candle['rsi_14'] < 50.0 and last_candle['cmf'] < -0.4:
                    return (True, 'exit_profit_u_bear_9_2')
            elif 0.09 > current_profit >= 0.08:
                if last_candle['rsi_14'] < 41.0 and last_candle['cmf'] < 0.0:
                    return (True, 'exit_profit_u_bear_8_1')
                elif last_candle['rsi_14'] < 49.0 and last_candle['cmf'] < -0.4:
                    return (True, 'exit_profit_u_bear_8_2')
            elif 0.08 > current_profit >= 0.07:
                if last_candle['rsi_14'] < 40.0 and last_candle['cmf'] < 0.0:
                    return (True, 'exit_profit_u_bear_7_1')
                elif last_candle['rsi_14'] < 50.0 and last_candle['cmf'] < -0.4:
                    return (True, 'exit_profit_u_bear_7_2')
            elif 0.07 > current_profit >= 0.06:
                if last_candle['rsi_14'] < 39.0 and last_candle['cmf'] < 0.0:
                    return (True, 'exit_profit_u_bear_6_1')
                elif last_candle['rsi_14'] < 54.0 and last_candle['cmf'] < -0.4:
                    return (True, 'exit_profit_u_bear_6_2')
            elif 0.06 > current_profit >= 0.05:
                if last_candle['rsi_14'] < 38.0 and last_candle['cmf'] < 0.0:
                    return (True, 'exit_profit_u_bear_5_1')
                elif last_candle['rsi_14'] < 58.0 and last_candle['cmf'] < -0.4:
                    return (True, 'exit_profit_u_bear_5_2')
            elif 0.05 > current_profit >= 0.04:
                if last_candle['rsi_14'] < 37.0 and last_candle['cmf'] < 0.0:
                    return (True, 'exit_profit_u_bear_4_1')
                elif last_candle['rsi_14'] < 62.0 and last_candle['cmf'] < -0.4:
                    return (True, 'exit_profit_u_bear_4_2')
            elif 0.04 > current_profit >= 0.03:
                if last_candle['rsi_14'] < 36.0 and last_candle['cmf'] < 0.0:
                    return (True, 'exit_profit_u_bear_3_1')
                elif last_candle['rsi_14'] < 56.0 and last_candle['cmf'] < -0.4:
                    return (True, 'exit_profit_u_bear_3_2')
            elif 0.03 > current_profit >= 0.02:
                if last_candle['rsi_14'] < 35.0 and last_candle['cmf'] < 0.0:
                    return (True, 'exit_profit_u_bear_2_1')
                elif last_candle['rsi_14'] < 50.0 and last_candle['cmf'] < -0.4:
                    return (True, 'exit_profit_u_bear_2_2')
            elif 0.02 > current_profit >= 0.01:
                if last_candle['rsi_14'] < 34.0 and last_candle['cmf'] < 0.0:
                    return (True, 'exit_profit_u_bear_1_1')
                elif last_candle['rsi_14'] < 44.0 and last_candle['cmf'] < -0.4:
                    return (True, 'exit_profit_u_bear_1_2')
        return (False, None)

    def exit_r(self, current_profit: float, max_profit: float, max_loss: float, last_candle, previous_candle_1, trade: 'Trade', current_time: 'datetime') -> tuple:
        if 0.02 > current_profit >= 0.012:
            if last_candle['r_480'] > -0.4:
                return (True, 'exit_profit_w_1_1')
            elif last_candle['r_14'] >= -4.0 and last_candle['r_32'] > -4.0 and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 78.0):
                return (True, 'exit_profit_w_1_2')
            elif last_candle['r_14'] >= -1.0 and last_candle['rsi_14'] < 42.0:
                return (True, 'exit_profit_w_1_3')
            elif last_candle['r_14'] >= -1.0 and last_candle['rsi_14'] > 79.0:
                return (True, 'exit_profit_w_1_4')
            elif last_candle['r_14'] >= -2.0 and last_candle['r_32'] > -2.0 and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 78.0):
                return (True, 'exit_profit_w_1_5')
            elif last_candle['r_14'] > -3.0 and last_candle['r_32'] > -2.0 and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cci'] > 360.0) and (last_candle['r_480_1h'] > -2.0):
                return (True, 'exit_profit_w_1_6')
            elif last_candle['rsi_14'] < 44.0 and last_candle['btc_not_downtrend_1h'] == False and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_1_7')
            elif last_candle['r_14'] >= -2.0 and last_candle['r_96'] >= -2.0 and (last_candle['rsi_14'] > 80.0) and (last_candle['cti'] > 0.9):
                return (True, 'exit_profit_w_1_8')
            elif last_candle['r_14'] == 0.0 and last_candle['r_24'] == 0.0 and (last_candle['rsi_14'] > 76.0):
                return (True, 'exit_profit_w_1_9')
            elif last_candle['r_480'] > -10.0 and last_candle['rsi_14'] > 80.0 and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 220.0):
                return (True, 'exit_profit_w_1_10')
            elif last_candle['r_14'] > -1.0 and last_candle['r_32'] > -1.0 and (last_candle['r_480'] > -4.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cci'] > 320.0):
                return (True, 'exit_profit_w_1_11')
            elif last_candle['r_14'] > -1.0 and last_candle['r_32'] > -2.0 and (last_candle['rsi_14'] > 79.0) and (last_candle['cci'] > 260.0) and (last_candle['r_480_1h'] > -20.0):
                return (True, 'exit_profit_w_1_12')
            elif last_candle['r_14'] > -1.0 and last_candle['r_32'] > -1.0 and (last_candle['rsi_14'] > 77.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_w_1_13')
            elif last_candle['r_14'] == 0.0 and last_candle['close'] < last_candle['ema_200'] and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 72.0):
                return (True, 'exit_profit_w_1_14')
            elif last_candle['r_14'] == 0.0 and last_candle['close'] < last_candle['ema_200'] and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 71.0) and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 40.0):
                return (True, 'exit_profit_w_1_15')
            elif last_candle['r_480'] > -25.0 and last_candle['rsi_14'] > 79.0 and (last_candle['cci'] > 300.0) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_1_16')
            elif last_candle['r_480'] > -25.0 and last_candle['rsi_14'] > 74.0 and (last_candle['r_480_1h'] < -75.0):
                return (True, 'exit_profit_w_1_17')
            elif last_candle['r_14'] > -7.0 and last_candle['r_480'] > -25.0 and (last_candle['rsi_14'] > 77.0) and (last_candle['cti'] > 0.96) and (last_candle['r_480_1h'] > -30.0):
                return (True, 'exit_profit_w_1_18')
            elif last_candle['r_14'] == 0.0 and last_candle['r_64'] == 0.0 and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 68.0) and (last_candle['cti'] > 0.85) and (last_candle['r_480_1h'] > -30.0):
                return (True, 'exit_profit_w_1_19')
            elif last_candle['r_64'] > -20.0 and last_candle['r_96'] > -15.0 and (last_candle['rsi_14'] > 72.0) and (last_candle['cti'] > 0.8) and (last_candle['r_64_15m'] > -15.0) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_1_20')
            elif last_candle['r_14'] == 0.0 and last_candle['rsi_14'] > 67.0 and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['close'] < last_candle['ema_200']) and last_candle['sma_200_dec_20_1h'] and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_w_1_21')
            elif last_candle['r_14'] > -1.0 and last_candle['r_64'] > -10.0 and (last_candle['rsi_14'] > 69.0) and last_candle['sma_200_dec_20'] and (last_candle['r_480_1h'] < -55.0) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_w_1_22')
            elif last_candle['r_14'] == 0.0 and last_candle['r_64'] == 0.0 and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_w_1_23')
        elif 0.03 > current_profit >= 0.02:
            if last_candle['r_480'] > -0.5:
                return (True, 'exit_profit_w_2_1')
            elif last_candle['r_14'] >= -4.0 and last_candle['r_32'] > -4.0 and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 77.0):
                return (True, 'exit_profit_w_2_2')
            elif last_candle['r_14'] >= -1.0 and last_candle['rsi_14'] < 44.0:
                return (True, 'exit_profit_w_2_3')
            elif last_candle['r_14'] >= -1.0 and last_candle['rsi_14'] > 78.5:
                return (True, 'exit_profit_w_2_4')
            elif last_candle['r_14'] >= -2.0 and last_candle['r_32'] > -2.0 and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 77.0):
                return (True, 'exit_profit_w_2_5')
            elif last_candle['r_14'] > -3.0 and last_candle['r_32'] > -2.0 and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cci'] > 350.0) and (last_candle['r_480_1h'] > -4.0):
                return (True, 'exit_profit_w_2_6')
            elif last_candle['rsi_14'] < 45.0 and last_candle['btc_not_downtrend_1h'] == False and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_2_7')
            elif last_candle['r_14'] >= -3.0 and last_candle['r_96'] >= -2.0 and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.9):
                return (True, 'exit_profit_w_2_8')
            elif last_candle['r_14'] == 0.0 and last_candle['r_24'] == 0.0 and (last_candle['rsi_14'] > 72.0):
                return (True, 'exit_profit_w_2_9')
            elif last_candle['r_480'] > -10.0 and last_candle['rsi_14'] > 80.0 and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 220.0):
                return (True, 'exit_profit_w_2_10')
            elif last_candle['r_14'] > -1.0 and last_candle['r_32'] > -1.0 and (last_candle['r_480'] > -5.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 300.0):
                return (True, 'exit_profit_w_2_11')
            elif last_candle['r_14'] > -1.0 and last_candle['r_32'] > -3.0 and (last_candle['rsi_14'] > 78.0) and (last_candle['cci'] > 250.0) and (last_candle['r_480_1h'] > -20.0):
                return (True, 'exit_profit_w_2_12')
            elif last_candle['r_14'] > -2.0 and last_candle['r_32'] > -2.0 and (last_candle['rsi_14'] > 74.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_w_2_13')
            elif last_candle['r_14'] == 0.0 and last_candle['close'] < last_candle['ema_200'] and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 71.0):
                return (True, 'exit_profit_w_2_14')
            elif last_candle['r_14'] == 0.0 and last_candle['close'] < last_candle['ema_200'] and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 68.0) and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 40.0):
                return (True, 'exit_profit_w_2_15')
            elif last_candle['r_480'] > -25.0 and last_candle['rsi_14'] > 78.0 and (last_candle['cci'] > 290.0) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_2_16')
            elif last_candle['r_480'] > -25.0 and last_candle['rsi_14'] > 72.0 and (last_candle['r_480_1h'] < -75.0):
                return (True, 'exit_profit_w_2_17')
            elif last_candle['r_14'] > -7.0 and last_candle['r_480'] > -25.0 and (last_candle['rsi_14'] > 75.0) and (last_candle['cti'] > 0.96) and (last_candle['r_480_1h'] > -30.0):
                return (True, 'exit_profit_w_2_18')
            elif last_candle['r_14'] == 0.0 and last_candle['r_64'] == 0.0 and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 66.0) and (last_candle['cti'] > 0.85) and (last_candle['r_480_1h'] > -30.0):
                return (True, 'exit_profit_w_2_19')
            elif last_candle['r_64'] > -20.0 and last_candle['r_96'] > -15.0 and (last_candle['rsi_14'] > 69.0) and (last_candle['cti'] > 0.8) and (last_candle['r_64_15m'] > -15.0) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_2_20')
            elif last_candle['r_14'] == 0.0 and last_candle['rsi_14'] > 65.0 and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['close'] < last_candle['ema_200']) and last_candle['sma_200_dec_20_1h'] and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_w_2_21')
            elif last_candle['r_14'] > -1.0 and last_candle['r_64'] > -10.0 and (last_candle['rsi_14'] > 68.0) and last_candle['sma_200_dec_20'] and (last_candle['r_480_1h'] < -55.0) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_w_2_22')
            elif last_candle['r_14'] == 0.0 and last_candle['r_64'] == 0.0 and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_w_2_23')
        elif 0.04 > current_profit >= 0.03:
            if last_candle['r_480'] > -0.6:
                return (True, 'exit_profit_w_3_1')
            elif last_candle['r_14'] >= -4.0 and last_candle['r_32'] > -4.0 and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 76.0):
                return (True, 'exit_profit_w_3_2')
            elif last_candle['r_14'] >= -1.0 and last_candle['rsi_14'] < 46.0:
                return (True, 'exit_profit_w_3_3')
            elif last_candle['r_14'] >= -1.0 and last_candle['rsi_14'] > 78.0:
                return (True, 'exit_profit_w_3_4')
            elif last_candle['r_14'] >= -2.0 and last_candle['r_32'] > -2.0 and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 76.0):
                return (True, 'exit_profit_w_3_5')
            elif last_candle['r_14'] > -3.0 and last_candle['r_32'] > -2.0 and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 340.0) and (last_candle['r_480_1h'] > -4.0):
                return (True, 'exit_profit_w_3_6')
            elif last_candle['rsi_14'] < 46.0 and last_candle['btc_not_downtrend_1h'] == False and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_3_7')
            elif last_candle['r_14'] >= -4.0 and last_candle['r_96'] >= -2.0 and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.85):
                return (True, 'exit_profit_w_3_8')
            elif last_candle['r_14'] == 0.0 and last_candle['r_24'] == 0.0 and (last_candle['rsi_14'] > 68.0):
                return (True, 'exit_profit_w_3_9')
            elif last_candle['r_480'] > -20.0 and last_candle['rsi_14'] > 80.0 and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 220.0):
                return (True, 'exit_profit_w_3_10')
            elif last_candle['r_14'] > -1.0 and last_candle['r_32'] > -1.0 and (last_candle['r_480'] > -6.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 290.0):
                return (True, 'exit_profit_w_3_11')
            elif last_candle['r_14'] > -2.0 and last_candle['r_32'] > -3.0 and (last_candle['rsi_14'] > 77.0) and (last_candle['cci'] > 240.0) and (last_candle['r_480_1h'] > -20.0):
                return (True, 'exit_profit_w_3_12')
            elif last_candle['r_14'] > -2.0 and last_candle['r_32'] > -2.0 and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_w_3_13')
            elif last_candle['r_14'] == 0.0 and last_candle['close'] < last_candle['ema_200'] and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 70.0):
                return (True, 'exit_profit_w_3_14')
            elif last_candle['r_14'] == 0.0 and last_candle['close'] < last_candle['ema_200'] and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 65.0) and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 40.0):
                return (True, 'exit_profit_w_3_15')
            elif last_candle['r_480'] > -25.0 and last_candle['rsi_14'] > 77.0 and (last_candle['cci'] > 280.0) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_3_16')
            elif last_candle['r_480'] > -25.0 and last_candle['rsi_14'] > 71.0 and (last_candle['r_480_1h'] < -75.0):
                return (True, 'exit_profit_w_3_17')
            elif last_candle['r_14'] > -7.0 and last_candle['r_480'] > -25.0 and (last_candle['rsi_14'] > 73.0) and (last_candle['cti'] > 0.96) and (last_candle['r_480_1h'] > -30.0):
                return (True, 'exit_profit_w_3_18')
            elif last_candle['r_14'] == 0.0 and last_candle['r_64'] == 0.0 and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 65.0) and (last_candle['cti'] > 0.85) and (last_candle['r_480_1h'] > -30.0):
                return (True, 'exit_profit_w_3_19')
            elif last_candle['r_64'] > -20.0 and last_candle['r_96'] > -15.0 and (last_candle['rsi_14'] > 68.0) and (last_candle['cti'] > 0.8) and (last_candle['r_64_15m'] > -15.0) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_3_20')
            elif last_candle['r_14'] == 0.0 and last_candle['rsi_14'] > 63.0 and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['close'] < last_candle['ema_200']) and last_candle['sma_200_dec_20_1h'] and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_w_3_21')
            elif last_candle['r_14'] > -1.0 and last_candle['r_64'] > -10.0 and (last_candle['rsi_14'] > 67.0) and last_candle['sma_200_dec_20'] and (last_candle['r_480_1h'] < -55.0) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_w_3_22')
            elif last_candle['r_14'] == 0.0 and last_candle['r_64'] == 0.0 and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_w_3_23')
        elif 0.05 > current_profit >= 0.04:
            if last_candle['r_480'] > -0.7:
                return (True, 'exit_profit_w_4_1')
            elif last_candle['r_14'] >= -4.0 and last_candle['r_32'] > -4.0 and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 75.0):
                return (True, 'exit_profit_w_4_2')
            elif last_candle['r_14'] >= -1.0 and last_candle['rsi_14'] < 48.0:
                return (True, 'exit_profit_w_4_3')
            elif last_candle['r_14'] >= -1.0 and last_candle['rsi_14'] > 77.5:
                return (True, 'exit_profit_w_4_4')
            elif last_candle['r_14'] >= -2.0 and last_candle['r_32'] > -2.0 and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 75.0):
                return (True, 'exit_profit_w_4_5')
            elif last_candle['r_14'] > -3.0 and last_candle['r_32'] > -2.0 and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 330.0) and (last_candle['r_480_1h'] > -6.0):
                return (True, 'exit_profit_w_4_6')
            elif last_candle['rsi_14'] < 47.0 and last_candle['btc_not_downtrend_1h'] == False and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_4_7')
            elif last_candle['r_14'] >= -5.0 and last_candle['r_96'] >= -3.0 and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.85):
                return (True, 'exit_profit_w_4_8')
            elif last_candle['r_14'] == 0.0 and last_candle['r_24'] == 0.0 and (last_candle['rsi_14'] > 66.0):
                return (True, 'exit_profit_w_4_9')
            elif last_candle['r_480'] > -20.0 and last_candle['rsi_14'] > 79.0 and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 220.0):
                return (True, 'exit_profit_w_4_10')
            elif last_candle['r_14'] > -1.0 and last_candle['r_32'] > -1.0 and (last_candle['r_480'] > -7.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 280.0):
                return (True, 'exit_profit_w_4_11')
            elif last_candle['r_14'] > -3.0 and last_candle['r_32'] > -3.0 and (last_candle['rsi_14'] > 76.0) and (last_candle['cci'] > 230.0) and (last_candle['r_480_1h'] > -20.0):
                return (True, 'exit_profit_w_4_12')
            elif last_candle['r_14'] > -2.0 and last_candle['r_32'] > -2.0 and (last_candle['rsi_14'] > 69.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_w_4_13')
            elif last_candle['r_14'] == 0.0 and last_candle['close'] < last_candle['ema_200'] and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 69.0):
                return (True, 'exit_profit_w_4_14')
            elif last_candle['r_14'] == 0.0 and last_candle['close'] < last_candle['ema_200'] and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 64.0) and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 40.0):
                return (True, 'exit_profit_w_4_15')
            elif last_candle['r_480'] > -25.0 and last_candle['rsi_14'] > 76.0 and (last_candle['cci'] > 270.0) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_4_16')
            elif last_candle['r_480'] > -25.0 and last_candle['rsi_14'] > 70.0 and (last_candle['r_480_1h'] < -75.0):
                return (True, 'exit_profit_w_4_17')
            elif last_candle['r_14'] > -7.0 and last_candle['r_480'] > -25.0 and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.96) and (last_candle['r_480_1h'] > -30.0):
                return (True, 'exit_profit_w_4_18')
            elif last_candle['r_14'] == 0.0 and last_candle['r_64'] == 0.0 and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 64.0) and (last_candle['cti'] > 0.85) and (last_candle['r_480_1h'] > -30.0):
                return (True, 'exit_profit_w_4_19')
            elif last_candle['r_64'] > -20.0 and last_candle['r_96'] > -15.0 and (last_candle['rsi_14'] > 67.0) and (last_candle['cti'] > 0.8) and (last_candle['r_64_15m'] > -15.0) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_4_20')
            elif last_candle['r_14'] == 0.0 and last_candle['rsi_14'] > 62.0 and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['close'] < last_candle['ema_200']) and last_candle['sma_200_dec_20_1h'] and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_w_4_21')
            elif last_candle['r_14'] > -1.0 and last_candle['r_64'] > -10.0 and (last_candle['rsi_14'] > 66.0) and last_candle['sma_200_dec_20'] and (last_candle['r_480_1h'] < -55.0) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_w_4_22')
            elif last_candle['r_14'] == 0.0 and last_candle['r_64'] == 0.0 and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_w_4_23')
        elif 0.06 > current_profit >= 0.05:
            if last_candle['r_480'] > -0.8:
                return (True, 'exit_profit_w_5_1')
            elif last_candle['r_14'] >= -4.0 and last_candle['r_32'] > -4.0 and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 74.0):
                return (True, 'exit_profit_w_5_2')
            elif last_candle['r_14'] >= -1.0 and last_candle['rsi_14'] < 50.0:
                return (True, 'exit_profit_w_5_3')
            elif last_candle['r_14'] >= -1.0 and last_candle['rsi_14'] > 77.0:
                return (True, 'exit_profit_w_5_4')
            elif last_candle['r_14'] >= -2.0 and last_candle['r_32'] > -2.0 and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 74.0):
                return (True, 'exit_profit_w_5_5')
            elif last_candle['r_14'] > -3.0 and last_candle['r_32'] > -2.0 and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 320.0) and (last_candle['r_480_1h'] > -8.0):
                return (True, 'exit_profit_w_5_6')
            elif last_candle['rsi_14'] < 48.0 and last_candle['btc_not_downtrend_1h'] == False and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_5_7')
            elif last_candle['r_14'] >= -5.0 and last_candle['r_96'] >= -3.0 and (last_candle['rsi_14'] > 78.0) and (last_candle['cti'] > 0.85):
                return (True, 'exit_profit_w_5_8')
            elif last_candle['r_14'] == 0.0 and last_candle['r_24'] == 0.0 and (last_candle['rsi_14'] > 65.0):
                return (True, 'exit_profit_w_5_9')
            elif last_candle['r_480'] > -20.0 and last_candle['rsi_14'] > 79.0 and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 220.0):
                return (True, 'exit_profit_w_5_10')
            elif last_candle['r_14'] > -1.0 and last_candle['r_32'] > -1.0 and (last_candle['r_480'] > -8.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 270.0):
                return (True, 'exit_profit_w_5_11')
            elif last_candle['r_14'] > -3.0 and last_candle['r_32'] > -3.0 and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 220.0) and (last_candle['r_480_1h'] > -20.0):
                return (True, 'exit_profit_w_5_12')
            elif last_candle['r_14'] > -3.0 and last_candle['r_32'] > -3.0 and (last_candle['rsi_14'] > 67.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_w_5_13')
            elif last_candle['r_14'] == 0.0 and last_candle['close'] < last_candle['ema_200'] and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 68.0):
                return (True, 'exit_profit_w_5_14')
            elif last_candle['r_14'] == 0.0 and last_candle['close'] < last_candle['ema_200'] and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 63.0) and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 40.0):
                return (True, 'exit_profit_w_5_15')
            elif last_candle['r_480'] > -25.0 and last_candle['rsi_14'] > 75.0 and (last_candle['cci'] > 260.0) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_5_16')
            elif last_candle['r_480'] > -25.0 and last_candle['rsi_14'] > 69.0 and (last_candle['r_480_1h'] < -75.0):
                return (True, 'exit_profit_w_5_17')
            elif last_candle['r_14'] > -7.0 and last_candle['r_480'] > -25.0 and (last_candle['rsi_14'] > 69.0) and (last_candle['cti'] > 0.96) and (last_candle['r_480_1h'] > -30.0):
                return (True, 'exit_profit_w_5_18')
            elif last_candle['r_14'] == 0.0 and last_candle['r_64'] == 0.0 and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 63.0) and (last_candle['cti'] > 0.85) and (last_candle['r_480_1h'] > -30.0):
                return (True, 'exit_profit_w_5_19')
            elif last_candle['r_64'] > -20.0 and last_candle['r_96'] > -15.0 and (last_candle['rsi_14'] > 65.0) and (last_candle['cti'] > 0.8) and (last_candle['r_64_15m'] > -15.0) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_5_20')
            elif last_candle['r_14'] == 0.0 and last_candle['rsi_14'] > 61.0 and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['close'] < last_candle['ema_200']) and last_candle['sma_200_dec_20_1h'] and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_w_5_21')
            elif last_candle['r_14'] > -1.0 and last_candle['r_64'] > -10.0 and (last_candle['rsi_14'] > 65.0) and last_candle['sma_200_dec_20'] and (last_candle['r_480_1h'] < -55.0) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_w_5_22')
            elif last_candle['r_14'] == 0.0 and last_candle['r_64'] == 0.0 and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 68.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_w_5_23')
        elif 0.07 > current_profit >= 0.06:
            if last_candle['r_480'] > -0.9:
                return (True, 'exit_profit_w_6_1')
            elif last_candle['r_14'] >= -3.0 and last_candle['r_32'] > -3.0 and (last_candle['r_64'] > -3.0) and (last_candle['rsi_14'] > 73.0):
                return (True, 'exit_profit_w_6_2')
            elif last_candle['r_14'] >= -1.0 and last_candle['rsi_14'] < 52.0:
                return (True, 'exit_profit_w_6_3')
            elif last_candle['r_14'] >= -1.0 and last_candle['rsi_14'] > 76.5:
                return (True, 'exit_profit_w_6_4')
            elif last_candle['r_14'] >= -2.0 and last_candle['r_32'] > -2.0 and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 73.0):
                return (True, 'exit_profit_w_6_5')
            elif last_candle['r_14'] > -3.0 and last_candle['r_32'] > -2.0 and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 310.0) and (last_candle['r_480_1h'] > -10.0):
                return (True, 'exit_profit_w_6_6')
            elif last_candle['rsi_14'] < 47.0 and last_candle['btc_not_downtrend_1h'] == False and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_6_7')
            elif last_candle['r_14'] >= -5.0 and last_candle['r_96'] >= -3.0 and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.85):
                return (True, 'exit_profit_w_6_8')
            elif last_candle['r_14'] == 0.0 and last_candle['r_24'] == 0.0 and (last_candle['rsi_14'] > 68.0):
                return (True, 'exit_profit_w_6_9')
            elif last_candle['r_480'] > -20.0 and last_candle['rsi_14'] > 78.0 and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 220.0):
                return (True, 'exit_profit_w_6_10')
            elif last_candle['r_14'] > -1.0 and last_candle['r_32'] > -1.0 and (last_candle['r_480'] > -9.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 260.0):
                return (True, 'exit_profit_w_6_11')
            elif last_candle['r_14'] > -3.0 and last_candle['r_32'] > -3.0 and (last_candle['rsi_14'] > 76.0) and (last_candle['cci'] > 230.0) and (last_candle['r_480_1h'] > -20.0):
                return (True, 'exit_profit_w_6_12')
            elif last_candle['r_14'] > -2.0 and last_candle['r_32'] > -2.0 and (last_candle['rsi_14'] > 69.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_w_6_13')
            elif last_candle['r_14'] == 0.0 and last_candle['close'] < last_candle['ema_200'] and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 69.0):
                return (True, 'exit_profit_w_6_14')
            elif last_candle['r_14'] == 0.0 and last_candle['close'] < last_candle['ema_200'] and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 66.0) and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 40.0):
                return (True, 'exit_profit_w_6_15')
            elif last_candle['r_480'] > -25.0 and last_candle['rsi_14'] > 76.0 and (last_candle['cci'] > 270.0) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_6_16')
            elif last_candle['r_480'] > -25.0 and last_candle['rsi_14'] > 70.0 and (last_candle['r_480_1h'] < -75.0):
                return (True, 'exit_profit_w_6_17')
            elif last_candle['r_14'] > -7.0 and last_candle['r_480'] > -25.0 and (last_candle['rsi_14'] > 68.0) and (last_candle['cti'] > 0.96) and (last_candle['r_480_1h'] > -30.0):
                return (True, 'exit_profit_w_6_18')
            elif last_candle['r_14'] == 0.0 and last_candle['r_64'] == 0.0 and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 65.0) and (last_candle['cti'] > 0.85) and (last_candle['r_480_1h'] > -30.0):
                return (True, 'exit_profit_w_6_19')
            elif last_candle['r_64'] > -20.0 and last_candle['r_96'] > -15.0 and (last_candle['rsi_14'] > 68.0) and (last_candle['cti'] > 0.8) and (last_candle['r_64_15m'] > -15.0) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_6_20')
            elif last_candle['r_14'] == 0.0 and last_candle['rsi_14'] > 63.0 and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['close'] < last_candle['ema_200']) and last_candle['sma_200_dec_20_1h'] and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_w_6_21')
            elif last_candle['r_14'] > -1.0 and last_candle['r_64'] > -10.0 and (last_candle['rsi_14'] > 67.0) and last_candle['sma_200_dec_20'] and (last_candle['r_480_1h'] < -55.0) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_w_6_22')
            elif last_candle['r_14'] == 0.0 and last_candle['r_64'] == 0.0 and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 70.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_w_6_23')
        elif 0.08 > current_profit >= 0.07:
            if last_candle['r_480'] > -1.0:
                return (True, 'exit_profit_w_7_1')
            elif last_candle['r_14'] >= -3.0 and last_candle['r_32'] > -3.0 and (last_candle['r_64'] > -3.0) and (last_candle['rsi_14'] > 74.0):
                return (True, 'exit_profit_w_7_2')
            elif last_candle['r_14'] >= -1.0 and last_candle['rsi_14'] < 50.0:
                return (True, 'exit_profit_w_7_3')
            elif last_candle['r_14'] >= -1.0 and last_candle['rsi_14'] > 76.0:
                return (True, 'exit_profit_w_7_4')
            elif last_candle['r_14'] >= -2.0 and last_candle['r_32'] > -2.0 and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 74.0):
                return (True, 'exit_profit_w_7_5')
            elif last_candle['r_14'] > -3.0 and last_candle['r_32'] > -2.0 and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 300.0) and (last_candle['r_480_1h'] > -12.0):
                return (True, 'exit_profit_w_7_6')
            elif last_candle['rsi_14'] < 46.0 and last_candle['btc_not_downtrend_1h'] == False and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_7_7')
            elif last_candle['r_14'] >= -4.0 and last_candle['r_96'] >= -3.0 and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.85):
                return (True, 'exit_profit_w_7_8')
            elif last_candle['r_14'] == 0.0 and last_candle['r_24'] == 0.0 and (last_candle['rsi_14'] > 70.0):
                return (True, 'exit_profit_w_7_9')
            elif last_candle['r_480'] > -20.0 and last_candle['rsi_14'] > 78.0 and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 220.0):
                return (True, 'exit_profit_w_7_10')
            elif last_candle['r_14'] > -1.0 and last_candle['r_32'] > -1.0 and (last_candle['r_480'] > -8.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 270.0):
                return (True, 'exit_profit_w_7_11')
            elif last_candle['r_14'] > -2.0 and last_candle['r_32'] > -3.0 and (last_candle['rsi_14'] > 77.0) and (last_candle['cci'] > 240.0) and (last_candle['r_480_1h'] > -20.0):
                return (True, 'exit_profit_w_7_12')
            elif last_candle['r_14'] > -2.0 and last_candle['r_32'] > -2.0 and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_w_7_13')
            elif last_candle['r_14'] == 0.0 and last_candle['close'] < last_candle['ema_200'] and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 70.0):
                return (True, 'exit_profit_w_7_14')
            elif last_candle['r_14'] == 0.0 and last_candle['close'] < last_candle['ema_200'] and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 69.0) and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 40.0):
                return (True, 'exit_profit_w_7_15')
            elif last_candle['r_480'] > -25.0 and last_candle['rsi_14'] > 77.0 and (last_candle['cci'] > 280.0) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_7_16')
            elif last_candle['r_480'] > -25.0 and last_candle['rsi_14'] > 71.0 and (last_candle['r_480_1h'] < -75.0):
                return (True, 'exit_profit_w_7_17')
            elif last_candle['r_14'] > -7.0 and last_candle['r_480'] > -25.0 and (last_candle['rsi_14'] > 69.0) and (last_candle['cti'] > 0.96) and (last_candle['r_480_1h'] > -30.0):
                return (True, 'exit_profit_w_7_18')
            elif last_candle['r_14'] == 0.0 and last_candle['r_64'] == 0.0 and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 67.0) and (last_candle['cti'] > 0.85) and (last_candle['r_480_1h'] > -30.0):
                return (True, 'exit_profit_w_7_19')
            elif last_candle['r_64'] > -20.0 and last_candle['r_96'] > -15.0 and (last_candle['rsi_14'] > 70.0) and (last_candle['cti'] > 0.85) and (last_candle['r_64_15m'] > -15.0) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_7_20')
            elif last_candle['r_14'] == 0.0 and last_candle['rsi_14'] > 65.0 and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['close'] < last_candle['ema_200']) and last_candle['sma_200_dec_20_1h'] and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_w_7_21')
            elif last_candle['r_14'] > -1.0 and last_candle['r_64'] > -10.0 and (last_candle['rsi_14'] > 70.0) and last_candle['sma_200_dec_20'] and (last_candle['r_480_1h'] < -55.0) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_w_7_22')
            elif last_candle['r_14'] == 0.0 and last_candle['r_64'] == 0.0 and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_w_7_23')
        elif 0.09 > current_profit >= 0.08:
            if last_candle['r_480'] > -1.2:
                return (True, 'exit_profit_w_8_1')
            elif last_candle['r_14'] >= -3.0 and last_candle['r_32'] > -3.0 and (last_candle['r_64'] > -3.0) and (last_candle['rsi_14'] > 75.0):
                return (True, 'exit_profit_w_8_2')
            elif last_candle['r_14'] >= -1.0 and last_candle['rsi_14'] < 48.0:
                return (True, 'exit_profit_w_8_3')
            elif last_candle['r_14'] >= -1.0 and last_candle['rsi_14'] > 77.0:
                return (True, 'exit_profit_w_8_4')
            elif last_candle['r_14'] >= -2.0 and last_candle['r_32'] > -2.0 and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 75.0):
                return (True, 'exit_profit_w_8_5')
            elif last_candle['r_14'] > -3.0 and last_candle['r_32'] > -2.0 and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 310.0) and (last_candle['r_480_1h'] > -10.0):
                return (True, 'exit_profit_w_8_6')
            elif last_candle['rsi_14'] < 45.0 and last_candle['btc_not_downtrend_1h'] == False and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_8_7')
            elif last_candle['r_14'] >= -3.0 and last_candle['r_96'] >= -3.0 and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.85):
                return (True, 'exit_profit_w_8_8')
            elif last_candle['r_14'] == 0.0 and last_candle['r_24'] == 0.0 and (last_candle['rsi_14'] > 72.0):
                return (True, 'exit_profit_w_8_9')
            elif last_candle['r_480'] > -20.0 and last_candle['rsi_14'] > 78.0 and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 220.0):
                return (True, 'exit_profit_w_8_10')
            elif last_candle['r_14'] > -1.0 and last_candle['r_32'] > -1.0 and (last_candle['r_480'] > -7.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 280.0):
                return (True, 'exit_profit_w_8_11')
            elif last_candle['r_14'] > -2.0 and last_candle['r_32'] > -3.0 and (last_candle['rsi_14'] > 78.0) and (last_candle['cci'] > 250.0) and (last_candle['r_480_1h'] > -20.0):
                return (True, 'exit_profit_w_8_12')
            elif last_candle['r_14'] > -2.0 and last_candle['r_32'] > -2.0 and (last_candle['rsi_14'] > 73.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_w_8_13')
            elif last_candle['r_14'] == 0.0 and last_candle['close'] < last_candle['ema_200'] and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 71.0):
                return (True, 'exit_profit_w_8_14')
            elif last_candle['r_14'] == 0.0 and last_candle['close'] < last_candle['ema_200'] and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 70.0) and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 40.0):
                return (True, 'exit_profit_w_8_15')
            elif last_candle['r_480'] > -25.0 and last_candle['rsi_14'] > 78.0 and (last_candle['cci'] > 290.0) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_8_16')
            elif last_candle['r_480'] > -25.0 and last_candle['rsi_14'] > 72.0 and (last_candle['r_480_1h'] < -75.0):
                return (True, 'exit_profit_w_8_17')
            elif last_candle['r_14'] > -7.0 and last_candle['r_480'] > -25.0 and (last_candle['rsi_14'] > 70.0) and (last_candle['cti'] > 0.96) and (last_candle['r_480_1h'] > -30.0):
                return (True, 'exit_profit_w_8_18')
            elif last_candle['r_14'] == 0.0 and last_candle['r_64'] == 0.0 and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 68.0) and (last_candle['cti'] > 0.85) and (last_candle['r_480_1h'] > -30.0):
                return (True, 'exit_profit_w_8_19')
            elif last_candle['r_64'] > -20.0 and last_candle['r_96'] > -15.0 and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.85) and (last_candle['r_64_15m'] > -15.0) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_8_20')
            elif last_candle['r_14'] == 0.0 and last_candle['rsi_14'] > 67.0 and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['close'] < last_candle['ema_200']) and last_candle['sma_200_dec_20_1h'] and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_w_8_21')
            elif last_candle['r_14'] > -1.0 and last_candle['r_64'] > -10.0 and (last_candle['rsi_14'] > 74.0) and last_candle['sma_200_dec_20'] and (last_candle['r_480_1h'] < -55.0) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_w_8_22')
            elif last_candle['r_14'] == 0.0 and last_candle['r_64'] == 0.0 and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_w_8_23')
        elif 0.1 > current_profit >= 0.09:
            if last_candle['r_480'] > -1.2:
                return (True, 'exit_profit_w_9_1')
            elif last_candle['r_14'] >= -3.0 and last_candle['r_32'] > -3.0 and (last_candle['r_64'] > -3.0) and (last_candle['rsi_14'] > 76.0):
                return (True, 'exit_profit_w_9_2')
            elif last_candle['r_14'] >= -1.0 and last_candle['rsi_14'] < 46.0:
                return (True, 'exit_profit_w_9_3')
            elif last_candle['r_14'] >= -1.0 and last_candle['rsi_14'] > 78.0:
                return (True, 'exit_profit_w_9_4')
            elif last_candle['r_14'] >= -2.0 and last_candle['r_32'] > -2.0 and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 76.0):
                return (True, 'exit_profit_w_9_5')
            elif last_candle['r_14'] > -2.0 and last_candle['r_32'] > -2.0 and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 320.0) and (last_candle['r_480_1h'] > -8.0):
                return (True, 'exit_profit_w_9_6')
            elif last_candle['rsi_14'] < 44.0 and last_candle['btc_not_downtrend_1h'] == False and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_9_7')
            elif last_candle['r_14'] >= -3.0 and last_candle['r_96'] >= -2.0 and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.85):
                return (True, 'exit_profit_w_9_8')
            elif last_candle['r_14'] == 0.0 and last_candle['r_24'] == 0.0 and (last_candle['rsi_14'] > 74.0):
                return (True, 'exit_profit_w_9_9')
            elif last_candle['r_480'] > -10.0 and last_candle['rsi_14'] > 79.0 and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 220.0):
                return (True, 'exit_profit_w_9_10')
            elif last_candle['r_14'] > -1.0 and last_candle['r_32'] > -1.0 and (last_candle['r_480'] > -6.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 290.0):
                return (True, 'exit_profit_w_9_11')
            elif last_candle['r_14'] > -1.0 and last_candle['r_32'] > -3.0 and (last_candle['rsi_14'] > 79.0) and (last_candle['cci'] > 260.0) and (last_candle['r_480_1h'] > -20.0):
                return (True, 'exit_profit_w_9_12')
            elif last_candle['r_14'] > -2.0 and last_candle['r_32'] > -2.0 and (last_candle['rsi_14'] > 75.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_w_9_13')
            elif last_candle['r_14'] == 0.0 and last_candle['close'] < last_candle['ema_200'] and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 72.0):
                return (True, 'exit_profit_w_9_14')
            elif last_candle['r_14'] == 0.0 and last_candle['close'] < last_candle['ema_200'] and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 71.0) and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 40.0):
                return (True, 'exit_profit_w_9_15')
            elif last_candle['r_480'] > -25.0 and last_candle['rsi_14'] > 79.0 and (last_candle['cci'] > 300.0) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_9_16')
            elif last_candle['r_480'] > -25.0 and last_candle['rsi_14'] > 73.0 and (last_candle['r_480_1h'] < -75.0):
                return (True, 'exit_profit_w_9_17')
            elif last_candle['r_14'] > -7.0 and last_candle['r_480'] > -25.0 and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.96) and (last_candle['r_480_1h'] > -30.0):
                return (True, 'exit_profit_w_9_18')
            elif last_candle['r_14'] == 0.0 and last_candle['r_64'] == 0.0 and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 69.0) and (last_candle['cti'] > 0.85) and (last_candle['r_480_1h'] > -30.0):
                return (True, 'exit_profit_w_9_19')
            elif last_candle['r_64'] > -20.0 and last_candle['r_96'] > -15.0 and (last_candle['rsi_14'] > 72.0) and (last_candle['cti'] > 0.85) and (last_candle['r_64_15m'] > -15.0) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_9_20')
            elif last_candle['r_14'] == 0.0 and last_candle['rsi_14'] > 69.0 and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['close'] < last_candle['ema_200']) and last_candle['sma_200_dec_20_1h'] and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_w_9_21')
            elif last_candle['r_14'] > -1.0 and last_candle['r_64'] > -10.0 and (last_candle['rsi_14'] > 76.0) and last_candle['sma_200_dec_20'] and (last_candle['r_480_1h'] < -55.0) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_w_9_22')
            elif last_candle['r_14'] == 0.0 and last_candle['r_64'] == 0.0 and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_w_9_23')
        elif 0.12 > current_profit >= 0.1:
            if last_candle['r_480'] > -1.0:
                return (True, 'exit_profit_w_10_1')
            elif last_candle['r_14'] >= -2.0 and last_candle['r_32'] > -2.0 and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 77.0):
                return (True, 'exit_profit_w_10_2')
            elif last_candle['r_14'] >= -1.0 and last_candle['rsi_14'] < 42.0:
                return (True, 'exit_profit_w_10_3')
            elif last_candle['r_14'] >= -1.0 and last_candle['rsi_14'] > 78.5:
                return (True, 'exit_profit_w_10_4')
            elif last_candle['r_14'] >= -2.0 and last_candle['r_32'] > -2.0 and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 77.0):
                return (True, 'exit_profit_w_10_5')
            elif last_candle['r_14'] > -2.0 and last_candle['r_32'] > -2.0 and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 330.0) and (last_candle['r_480_1h'] > -6.0):
                return (True, 'exit_profit_w_10_6')
            elif last_candle['rsi_14'] < 42.0 and last_candle['btc_not_downtrend_1h'] == False and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_10_7')
            elif last_candle['r_14'] >= -2.0 and last_candle['r_96'] >= -2.0 and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.9):
                return (True, 'exit_profit_w_10_8')
            elif last_candle['r_14'] == 0.0 and last_candle['r_24'] == 0.0 and (last_candle['rsi_14'] > 76.0):
                return (True, 'exit_profit_w_10_9')
            elif last_candle['r_480'] > -10.0 and last_candle['rsi_14'] > 80.0 and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 240.0):
                return (True, 'exit_profit_w_10_10')
            elif last_candle['r_14'] > -1.0 and last_candle['r_32'] > -1.0 and (last_candle['r_480'] > -5.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 300.0):
                return (True, 'exit_profit_w_10_11')
            elif last_candle['r_14'] > -1.0 and last_candle['r_32'] > -2.0 and (last_candle['rsi_14'] > 79.0) and (last_candle['cci'] > 270.0) and (last_candle['r_480_1h'] > -20.0):
                return (True, 'exit_profit_w_10_12')
            elif last_candle['r_14'] > -2.0 and last_candle['r_32'] > -2.0 and (last_candle['rsi_14'] > 77.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_w_10_13')
            elif last_candle['r_14'] == 0.0 and last_candle['close'] < last_candle['ema_200'] and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 74.0):
                return (True, 'exit_profit_w_10_14')
            elif last_candle['r_14'] == 0.0 and last_candle['close'] < last_candle['ema_200'] and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 72.0) and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 40.0):
                return (True, 'exit_profit_w_10_15')
            elif last_candle['r_480'] > -25.0 and last_candle['rsi_14'] > 80.0 and (last_candle['cci'] > 310.0) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_10_16')
            elif last_candle['r_480'] > -25.0 and last_candle['rsi_14'] > 74.0 and (last_candle['r_480_1h'] < -75.0):
                return (True, 'exit_profit_w_10_17')
            elif last_candle['r_14'] > -7.0 and last_candle['r_480'] > -25.0 and (last_candle['rsi_14'] > 72.0) and (last_candle['cti'] > 0.96) and (last_candle['r_480_1h'] > -30.0):
                return (True, 'exit_profit_w_10_18')
            elif last_candle['r_14'] == 0.0 and last_candle['r_64'] == 0.0 and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 70.0) and (last_candle['cti'] > 0.85) and (last_candle['r_480_1h'] > -30.0):
                return (True, 'exit_profit_w_10_19')
            elif last_candle['r_64'] > -20.0 and last_candle['r_96'] > -15.0 and (last_candle['rsi_14'] > 74.0) and (last_candle['cti'] > 0.85) and (last_candle['r_64_15m'] > -15.0) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_10_20')
            elif last_candle['r_14'] == 0.0 and last_candle['rsi_14'] > 72.0 and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['close'] < last_candle['ema_200']) and last_candle['sma_200_dec_20_1h'] and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_w_10_21')
            elif last_candle['r_14'] > -1.0 and last_candle['r_64'] > -10.0 and (last_candle['rsi_14'] > 78.0) and last_candle['sma_200_dec_20'] and (last_candle['r_480_1h'] < -55.0) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_w_10_22')
            elif last_candle['r_14'] == 0.0 and last_candle['r_64'] == 0.0 and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_w_10_23')
        elif 0.2 > current_profit >= 0.12:
            if last_candle['r_480'] > -0.5:
                return (True, 'exit_profit_w_11_1')
            elif last_candle['r_14'] >= -2.0 and last_candle['r_32'] > -2.0 and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 78.0):
                return (True, 'exit_profit_w_11_2')
            elif last_candle['r_14'] >= -1.0 and last_candle['rsi_14'] < 36.0:
                return (True, 'exit_profit_w_11_3')
            elif last_candle['r_14'] >= -1.0 and last_candle['rsi_14'] > 79.0:
                return (True, 'exit_profit_w_11_4')
            elif last_candle['r_14'] >= -2.0 and last_candle['r_32'] > -2.0 and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 78.0):
                return (True, 'exit_profit_w_11_5')
            elif last_candle['r_14'] > -2.0 and last_candle['r_32'] > -2.0 and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 340.0) and (last_candle['r_480_1h'] > -4.0):
                return (True, 'exit_profit_w_11_6')
            elif last_candle['rsi_14'] < 40.0 and last_candle['btc_not_downtrend_1h'] == False and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_11_7')
            elif last_candle['r_14'] >= -1.0 and last_candle['r_96'] >= -2.0 and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.9):
                return (True, 'exit_profit_w_11_8')
            elif last_candle['r_14'] == 0.0 and last_candle['r_24'] == 0.0 and (last_candle['rsi_14'] > 78.0):
                return (True, 'exit_profit_w_11_9')
            elif last_candle['r_480'] > -10.0 and last_candle['rsi_14'] > 81.0 and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 260.0):
                return (True, 'exit_profit_w_11_10')
            elif last_candle['r_14'] > -1.0 and last_candle['r_32'] > -1.0 and (last_candle['r_480'] > -4.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cci'] > 310.0):
                return (True, 'exit_profit_w_11_11')
            elif last_candle['r_14'] > -1.0 and last_candle['r_32'] > -2.0 and (last_candle['rsi_14'] > 79.0) and (last_candle['cci'] > 280.0) and (last_candle['r_480_1h'] > -20.0):
                return (True, 'exit_profit_w_11_12')
            elif last_candle['r_14'] > -1.0 and last_candle['r_32'] > -1.0 and (last_candle['rsi_14'] > 78.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_w_11_13')
            elif last_candle['r_14'] == 0.0 and last_candle['close'] < last_candle['ema_200'] and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 76.0):
                return (True, 'exit_profit_w_11_14')
            elif last_candle['r_14'] == 0.0 and last_candle['close'] < last_candle['ema_200'] and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 74.0) and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 40.0):
                return (True, 'exit_profit_w_11_15')
            elif last_candle['r_480'] > -25.0 and last_candle['rsi_14'] > 80.0 and (last_candle['cci'] > 320.0) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_11_16')
            elif last_candle['r_480'] > -25.0 and last_candle['rsi_14'] > 76.0 and (last_candle['r_480_1h'] < -75.0):
                return (True, 'exit_profit_w_11_17')
            elif last_candle['r_14'] > -7.0 and last_candle['r_480'] > -25.0 and (last_candle['rsi_14'] > 73.0) and (last_candle['cti'] > 0.96) and (last_candle['r_480_1h'] > -30.0):
                return (True, 'exit_profit_w_11_18')
            elif last_candle['r_14'] == 0.0 and last_candle['r_64'] == 0.0 and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 72.0) and (last_candle['cti'] > 0.85) and (last_candle['r_480_1h'] > -30.0):
                return (True, 'exit_profit_w_11_19')
            elif last_candle['r_64'] > -20.0 and last_candle['r_96'] > -15.0 and (last_candle['rsi_14'] > 76.0) and (last_candle['cti'] > 0.85) and (last_candle['r_64_15m'] > -15.0) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_11_20')
            elif last_candle['r_14'] == 0.0 and last_candle['rsi_14'] > 74.0 and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['close'] < last_candle['ema_200']) and last_candle['sma_200_dec_20_1h'] and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_w_11_21')
            elif last_candle['r_14'] > -1.0 and last_candle['r_64'] > -10.0 and (last_candle['rsi_14'] > 79.0) and last_candle['sma_200_dec_20'] and (last_candle['r_480_1h'] < -55.0) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_w_11_22')
            elif last_candle['r_14'] == 0.0 and last_candle['r_64'] == 0.0 and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_w_11_23')
        elif current_profit >= 0.2:
            if last_candle['r_480'] > -0.4:
                return (True, 'exit_profit_w_12_1')
            elif last_candle['r_14'] >= -2.0 and last_candle['r_32'] > -2.0 and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 79.0):
                return (True, 'exit_profit_w_12_2')
            elif last_candle['r_14'] >= -1.0 and last_candle['rsi_14'] < 32.0:
                return (True, 'exit_profit_w_12_3')
            elif last_candle['r_14'] >= -1.0 and last_candle['rsi_14'] > 80.0:
                return (True, 'exit_profit_w_12_4')
            elif last_candle['r_14'] >= -2.0 and last_candle['r_32'] > -2.0 and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 79.0):
                return (True, 'exit_profit_w_12_5')
            elif last_candle['r_14'] > -2.0 and last_candle['r_32'] > -2.0 and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cci'] > 360.0) and (last_candle['r_480_1h'] > -2.0):
                return (True, 'exit_profit_w_12_6')
            elif last_candle['rsi_14'] < 38.0 and last_candle['btc_not_downtrend_1h'] == False and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_12_7')
            elif last_candle['r_14'] >= -1.0 and last_candle['r_96'] >= -2.0 and (last_candle['rsi_14'] > 80.0) and (last_candle['cti'] > 0.9):
                return (True, 'exit_profit_w_12_8')
            elif last_candle['r_14'] == 0.0 and last_candle['r_24'] == 0.0 and (last_candle['rsi_14'] > 79.0):
                return (True, 'exit_profit_w_12_9')
            elif last_candle['r_480'] > -10.0 and last_candle['rsi_14'] > 81.0 and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 280.0):
                return (True, 'exit_profit_w_12_10')
            elif last_candle['r_14'] > -1.0 and last_candle['r_32'] > -1.0 and (last_candle['r_480'] > -3.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cci'] > 320.0):
                return (True, 'exit_profit_w_12_11')
            elif last_candle['r_14'] > -1.0 and last_candle['r_32'] > -1.0 and (last_candle['rsi_14'] > 80.0) and (last_candle['cci'] > 290.0) and (last_candle['r_480_1h'] > -20.0):
                return (True, 'exit_profit_w_12_12')
            elif last_candle['r_14'] > -1.0 and last_candle['r_32'] > -1.0 and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_w_12_13')
            elif last_candle['r_14'] == 0.0 and last_candle['close'] < last_candle['ema_200'] and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 78.0):
                return (True, 'exit_profit_w_12_14')
            elif last_candle['r_14'] == 0.0 and last_candle['close'] < last_candle['ema_200'] and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 76.0) and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 40.0):
                return (True, 'exit_profit_w_12_15')
            elif last_candle['r_480'] > -25.0 and last_candle['rsi_14'] > 81.0 and (last_candle['cci'] > 330.0) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_12_16')
            elif last_candle['r_480'] > -25.0 and last_candle['rsi_14'] > 78.0 and (last_candle['r_480_1h'] < -75.0):
                return (True, 'exit_profit_w_12_17')
            elif last_candle['r_14'] > -7.0 and last_candle['r_480'] > -25.0 and (last_candle['rsi_14'] > 74.0) and (last_candle['cti'] > 0.96) and (last_candle['r_480_1h'] > -30.0):
                return (True, 'exit_profit_w_12_18')
            elif last_candle['r_14'] == 0.0 and last_candle['r_64'] == 0.0 and last_candle['sma_200_dec_20'] and (last_candle['rsi_14'] > 74.0) and (last_candle['cti'] > 0.85) and (last_candle['r_480_1h'] > -30.0):
                return (True, 'exit_profit_w_12_19')
            elif last_candle['r_64'] > -20.0 and last_candle['r_96'] > -15.0 and (last_candle['rsi_14'] > 78.0) and (last_candle['cti'] > 0.85) and (last_candle['r_64_15m'] > -15.0) and (last_candle['r_480_1h'] > -25.0):
                return (True, 'exit_profit_w_12_20')
            elif last_candle['r_14'] == 0.0 and last_candle['rsi_14'] > 76.0 and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['close'] < last_candle['ema_200']) and last_candle['sma_200_dec_20_1h'] and (last_candle['cmf_1h'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_w_12_21')
            elif last_candle['r_14'] > -1.0 and last_candle['r_64'] > -10.0 and (last_candle['rsi_14'] > 80.0) and last_candle['sma_200_dec_20'] and (last_candle['r_480_1h'] < -55.0) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_w_12_22')
            elif last_candle['r_14'] == 0.0 and last_candle['r_64'] == 0.0 and (last_candle['r_96'] > -1.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_w_12_23')
        return (False, None)

    def exit_trail(self, current_profit: float, max_profit: float, max_loss: float, last_candle, previous_candle_1, trade: 'Trade', current_time: 'datetime') -> tuple:
        if 0.012 > current_profit >= 0.0:
            if max_profit > current_profit + 0.045 and last_candle['rsi_14'] < 46.0:
                return (True, 'exit_profit_t_0_1')
            elif max_profit > current_profit + 0.025 and last_candle['rsi_14'] < 32.0:  # 32.0
                return (True, 'exit_profit_t_0_2')
            elif max_profit > current_profit + 0.05 and last_candle['rsi_14'] < 48.0:
                return (True, 'exit_profit_t_0_3')
            elif max_profit > current_profit + 0.05 and last_candle['rsi_14'] < 50.0 and (last_candle['cmf'] < -0.0):
                return (True, 'exit_profit_t_0_4')
            elif max_profit > current_profit + 0.03 and last_candle['rsi_14_15m'] < 36.0 and (last_candle['rsi_14_1h'] < 48.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_0_5')
            elif max_profit > current_profit + 0.03 and last_candle['rsi_14'] < 36.0 and (last_candle['rsi_14_15m'] < 36.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_0_6')
        elif 0.02 > current_profit >= 0.012:
            if max_profit > current_profit + 0.01 and last_candle['rsi_14'] < 39.0:
                return (True, 'exit_profit_t_1_1')
            elif max_profit > current_profit + 0.035 and last_candle['rsi_14'] < 45.0 and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_1_2')
            elif max_profit > current_profit + 0.035 and last_candle['sma_200_dec_20'] and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_1_3')
            elif max_profit > current_profit + 0.02 and last_candle['rsi_14'] < 40.0 and (last_candle['cmf'] < -0.0) and (last_candle['cti_1h'] > 0.8):
                return (True, 'exit_profit_t_1_4')
            elif max_profit > current_profit + 0.04 and last_candle['rsi_14'] < 49.0 and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_1_5')
            elif max_profit > current_profit + 0.015 and last_candle['rsi_14'] < 42.0 and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf'] < -0.0):
                return (True, 'exit_profit_t_1_6')
            elif max_profit > current_profit + 0.06 and last_candle['rsi_14'] < 43.0 and (last_candle['cmf'] < -0.0):
                return (True, 'exit_profit_t_1_7')
            elif max_profit > current_profit + 0.015 and last_candle['rsi_14'] < 41.0 and (last_candle['cmf_1h'] < -0.1) and (last_candle['cmf'] < -0.0) and last_candle['sma_200_dec_20_1h']:
                return (True, 'exit_profit_t_1_8')
            elif max_profit > current_profit + 0.025 and last_candle['rsi_14'] < 40.0 and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_t_1_9')
            elif max_profit > current_profit + 0.025 and last_candle['rsi_14'] < 46.0 and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] > -20.0):
                return (True, 'exit_profit_t_1_10')
            elif max_profit > current_profit + 0.025 and last_candle['rsi_14'] < 42.0:
                return (True, 'exit_profit_t_1_11')
            elif max_profit > current_profit + 0.01 and last_candle['rsi_14'] < 44.0 and (last_candle['cmf'] < -0.25):
                return (True, 'exit_profit_t_1_12')
            #elif (max_profit > (current_profit + 0.025)) and (last_candle['rsi_14_1h'] < 47.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
            #return True, 'exit_profit_t_1_13'
            elif max_profit > current_profit + 0.03 and last_candle['rsi_14_15m'] < 36.0 and (last_candle['rsi_14_1h'] < 48.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_1_14')
        elif 0.03 > current_profit >= 0.02:
            if max_profit > current_profit + 0.015 and last_candle['rsi_14'] < 40.0:
                return (True, 'exit_profit_t_2_1')
            elif max_profit > current_profit + 0.045 and last_candle['rsi_14'] < 45.0 and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_2_2')
            elif max_profit > current_profit + 0.04 and last_candle['sma_200_dec_20'] and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_2_3')
            elif max_profit > current_profit + 0.02 and last_candle['rsi_14'] < 47.0 and (last_candle['cmf'] < -0.0) and (last_candle['cti_1h'] > 0.8):
                return (True, 'exit_profit_t_2_4')
            elif max_profit > current_profit + 0.02 and last_candle['rsi_14'] < 43.0 and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf'] < -0.0):
                return (True, 'exit_profit_t_2_6')
            elif max_profit > current_profit + 0.065 and last_candle['rsi_14'] < 44.0 and (last_candle['cmf'] < -0.0):
                return (True, 'exit_profit_t_2_7')
            elif max_profit > current_profit + 0.02 and last_candle['rsi_14'] < 42.0 and (last_candle['cmf_1h'] < -0.1) and (last_candle['cmf'] < -0.0) and last_candle['sma_200_dec_20_1h']:
                return (True, 'exit_profit_t_2_8')
            elif max_profit > current_profit + 0.03 and last_candle['rsi_14'] < 42.0 and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_t_2_9')
            elif max_profit > current_profit + 0.03 and last_candle['rsi_14'] < 45.0 and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] > -20.0):
                return (True, 'exit_profit_t_2_10')
            elif max_profit > current_profit + 0.03 and last_candle['rsi_14'] < 40.0:
                return (True, 'exit_profit_t_2_11')
            elif max_profit > current_profit + 0.025 and last_candle['rsi_14'] < 43.0 and (last_candle['cmf'] < -0.25):
                return (True, 'exit_profit_t_2_12')
            #elif (max_profit > (current_profit + 0.03)) and (last_candle['rsi_14_1h'] < 47.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
            #return True, 'exit_profit_t_2_13'
            elif max_profit > current_profit + 0.035 and last_candle['rsi_14_15m'] < 36.0 and (last_candle['rsi_14_1h'] < 47.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_2_14')
        elif 0.04 > current_profit >= 0.03:
            if max_profit > current_profit + 0.02 and last_candle['rsi_14'] < 41.0:
                return (True, 'exit_profit_t_3_1')
            elif max_profit > current_profit + 0.05 and last_candle['rsi_14'] < 45.0 and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_3_2')
            elif max_profit > current_profit + 0.045 and last_candle['sma_200_dec_20'] and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_3_3')
            elif max_profit > current_profit + 0.025 and last_candle['rsi_14'] < 47.0 and (last_candle['cmf'] < -0.0) and (last_candle['cti_1h'] > 0.8):
                return (True, 'exit_profit_t_3_4')
            elif max_profit > current_profit + 0.025 and last_candle['rsi_14'] < 44.0 and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf'] < -0.0):
                return (True, 'exit_profit_t_3_6')
            elif max_profit > current_profit + 0.07 and last_candle['rsi_14'] < 45.0 and (last_candle['cmf'] < -0.0):
                return (True, 'exit_profit_t_3_7')
            elif max_profit > current_profit + 0.025 and last_candle['rsi_14'] < 43.0 and (last_candle['cmf_1h'] < -0.1) and (last_candle['cmf'] < -0.0) and last_candle['sma_200_dec_20_1h']:
                return (True, 'exit_profit_t_3_8')
            elif max_profit > current_profit + 0.035 and last_candle['rsi_14'] < 43.0 and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_t_3_9')
            elif max_profit > current_profit + 0.035 and last_candle['rsi_14'] < 44.0 and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] > -20.0):
                return (True, 'exit_profit_t_3_10')
            elif max_profit > current_profit + 0.035 and last_candle['rsi_14'] < 39.0:
                return (True, 'exit_profit_t_3_11')
            elif max_profit > current_profit + 0.025 and last_candle['rsi_14'] < 42.0 and (last_candle['cmf'] < -0.25):
                return (True, 'exit_profit_t_3_12')
            elif max_profit > current_profit + 0.035 and last_candle['rsi_14_1h'] < 46.0 and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_3_13')
            elif max_profit > current_profit + 0.04 and last_candle['rsi_14_15m'] < 36.0 and (last_candle['rsi_14_1h'] < 46.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_3_14')
        elif 0.05 > current_profit >= 0.04:
            if max_profit > current_profit + 0.025 and last_candle['rsi_14'] < 42.0:
                return (True, 'exit_profit_t_4_1')
            elif max_profit > current_profit + 0.055 and last_candle['rsi_14'] < 45.0 and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_4_2')
            elif max_profit > current_profit + 0.05 and last_candle['sma_200_dec_20'] and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_4_3')
            elif max_profit > current_profit + 0.03 and last_candle['rsi_14'] < 47.0 and (last_candle['cmf'] < -0.0) and (last_candle['cti_1h'] > 0.8):
                return (True, 'exit_profit_t_4_4')
            elif max_profit > current_profit + 0.03 and last_candle['rsi_14'] < 45.0 and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf'] < -0.0):
                return (True, 'exit_profit_t_4_6')
            elif max_profit > current_profit + 0.075 and last_candle['rsi_14'] < 46.0 and (last_candle['cmf'] < -0.0):
                return (True, 'exit_profit_t_4_7')
            elif max_profit > current_profit + 0.03 and last_candle['rsi_14'] < 44.0 and (last_candle['cmf_1h'] < -0.1) and (last_candle['cmf'] < -0.0) and last_candle['sma_200_dec_20_1h']:
                return (True, 'exit_profit_t_4_8')
            elif max_profit > current_profit + 0.04 and last_candle['rsi_14'] < 44.0 and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_t_4_9')
            elif max_profit > current_profit + 0.04 and last_candle['rsi_14'] < 43.0 and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] > -20.0):
                return (True, 'exit_profit_t_4_10')
            elif max_profit > current_profit + 0.04 and last_candle['rsi_14'] < 38.0:
                return (True, 'exit_profit_t_4_11')
            elif max_profit > current_profit + 0.025 and last_candle['rsi_14'] < 41.0 and (last_candle['cmf'] < -0.25):
                return (True, 'exit_profit_t_4_12')
            elif max_profit > current_profit + 0.04 and last_candle['rsi_14_1h'] < 45.0 and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_4_13')
            elif max_profit > current_profit + 0.045 and last_candle['rsi_14_15m'] < 36.0 and (last_candle['rsi_14_1h'] < 45.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_4_14')
        elif 0.06 > current_profit >= 0.05:
            if max_profit > current_profit + 0.03 and last_candle['rsi_14'] < 43.0:
                return (True, 'exit_profit_t_5_1')
            elif max_profit > current_profit + 0.06 and last_candle['rsi_14'] < 45.0 and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_5_2')
            elif max_profit > current_profit + 0.055 and last_candle['sma_200_dec_20'] and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_5_3')
            elif max_profit > current_profit + 0.035 and last_candle['rsi_14'] < 46.0 and (last_candle['cmf'] < -0.0) and (last_candle['cti_1h'] > 0.8):
                return (True, 'exit_profit_t_5_4')
            elif max_profit > current_profit + 0.035 and last_candle['rsi_14'] < 46.0 and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf'] < -0.0):
                return (True, 'exit_profit_t_5_6')
            elif max_profit > current_profit + 0.08 and last_candle['rsi_14'] < 47.0 and (last_candle['cmf'] < -0.0):
                return (True, 'exit_profit_t_5_7')
            elif max_profit > current_profit + 0.035 and last_candle['rsi_14'] < 45.0 and (last_candle['cmf_1h'] < -0.1) and (last_candle['cmf'] < -0.0) and last_candle['sma_200_dec_20_1h']:
                return (True, 'exit_profit_t_5_8')
            elif max_profit > current_profit + 0.045 and last_candle['rsi_14'] < 45.0 and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_t_5_9')
            elif max_profit > current_profit + 0.045 and last_candle['rsi_14'] < 42.0 and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] > -20.0):
                return (True, 'exit_profit_t_5_10')
            elif max_profit > current_profit + 0.045 and last_candle['rsi_14'] < 37.0:
                return (True, 'exit_profit_t_5_11')
            elif max_profit > current_profit + 0.03 and last_candle['rsi_14'] < 40.0 and (last_candle['cmf'] < -0.25):
                return (True, 'exit_profit_t_5_12')
            elif max_profit > current_profit + 0.045 and last_candle['rsi_14_1h'] < 44.0 and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_5_13')
            elif max_profit > current_profit + 0.05 and last_candle['rsi_14_15m'] < 36.0 and (last_candle['rsi_14_1h'] < 44.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_5_14')
        elif 0.07 > current_profit >= 0.06:
            if max_profit > current_profit + 0.035 and last_candle['rsi_14'] < 44.0:
                return (True, 'exit_profit_t_6_1')
            elif max_profit > current_profit + 0.065 and last_candle['rsi_14'] < 45.0 and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_6_2')
            elif max_profit > current_profit + 0.06 and last_candle['sma_200_dec_20'] and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_6_3')
            elif max_profit > current_profit + 0.04 and last_candle['rsi_14'] < 46.0 and (last_candle['cmf'] < -0.0) and (last_candle['cti_1h'] > 0.8):
                return (True, 'exit_profit_t_6_4')
            elif max_profit > current_profit + 0.04 and last_candle['rsi_14'] < 45.0 and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf'] < -0.0):
                return (True, 'exit_profit_t_6_6')
            elif max_profit > current_profit + 0.08 and last_candle['rsi_14'] < 46.0 and (last_candle['cmf'] < -0.0):
                return (True, 'exit_profit_t_6_7')
            elif max_profit > current_profit + 0.04 and last_candle['rsi_14'] < 44.0 and (last_candle['cmf_1h'] < -0.1) and (last_candle['cmf'] < -0.0) and last_candle['sma_200_dec_20_1h']:
                return (True, 'exit_profit_t_6_8')
            elif max_profit > current_profit + 0.05 and last_candle['rsi_14'] < 44.0 and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_t_6_9')
            elif max_profit > current_profit + 0.05 and last_candle['rsi_14'] < 41.0 and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] > -20.0):
                return (True, 'exit_profit_t_6_10')
            elif max_profit > current_profit + 0.05 and last_candle['rsi_14'] < 36.0:
                return (True, 'exit_profit_t_6_11')
            elif max_profit > current_profit + 0.035 and last_candle['rsi_14'] < 39.0 and (last_candle['cmf'] < -0.25):
                return (True, 'exit_profit_t_6_12')
            elif max_profit > current_profit + 0.05 and last_candle['rsi_14_1h'] < 43.0 and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_6_13')
            elif max_profit > current_profit + 0.055 and last_candle['rsi_14_15m'] < 36.0 and (last_candle['rsi_14_1h'] < 43.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_6_14')
        elif 0.08 > current_profit >= 0.07:
            if max_profit > current_profit + 0.04 and last_candle['rsi_14'] < 43.0:
                return (True, 'exit_profit_t_7_1')
            elif max_profit > current_profit + 0.07 and last_candle['rsi_14'] < 45.0 and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_7_2')
            elif max_profit > current_profit + 0.065 and last_candle['sma_200_dec_20'] and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_7_3')
            elif max_profit > current_profit + 0.045 and last_candle['rsi_14'] < 45.0 and (last_candle['cmf'] < -0.0) and (last_candle['cti_1h'] > 0.8):
                return (True, 'exit_profit_t_7_4')
            elif max_profit > current_profit + 0.045 and last_candle['rsi_14'] < 44.0 and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf'] < -0.0):
                return (True, 'exit_profit_t_7_6')
            elif max_profit > current_profit + 0.08 and last_candle['rsi_14'] < 45.0 and (last_candle['cmf'] < -0.0):
                return (True, 'exit_profit_t_7_7')
            elif max_profit > current_profit + 0.045 and last_candle['rsi_14'] < 43.0 and (last_candle['cmf_1h'] < -0.1) and (last_candle['cmf'] < -0.0) and last_candle['sma_200_dec_20_1h']:
                return (True, 'exit_profit_t_7_8')
            elif max_profit > current_profit + 0.055 and last_candle['rsi_14'] < 43.0 and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_t_7_9')
            elif max_profit > current_profit + 0.055 and last_candle['rsi_14'] < 40.0 and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] > -20.0):
                return (True, 'exit_profit_t_7_10')
            elif max_profit > current_profit + 0.055 and last_candle['rsi_14'] < 36.0:
                return (True, 'exit_profit_t_7_11')
            elif max_profit > current_profit + 0.04 and last_candle['rsi_14'] < 38.0 and (last_candle['cmf'] < -0.25):
                return (True, 'exit_profit_t_7_12')
            elif max_profit > current_profit + 0.055 and last_candle['rsi_14_1h'] < 42.0 and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_7_13')
            elif max_profit > current_profit + 0.06 and last_candle['rsi_14_15m'] < 36.0 and (last_candle['rsi_14_1h'] < 42.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_7_14')
        elif 0.09 > current_profit >= 0.08:
            if max_profit > current_profit + 0.045 and last_candle['rsi_14'] < 42.0:
                return (True, 'exit_profit_t_8_1')
            elif max_profit > current_profit + 0.075 and last_candle['rsi_14'] < 45.0 and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_8_2')
            elif max_profit > current_profit + 0.07 and last_candle['sma_200_dec_20'] and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_8_3')
            elif max_profit > current_profit + 0.05 and last_candle['rsi_14'] < 44.0 and (last_candle['cmf'] < -0.0) and (last_candle['cti_1h'] > 0.8):
                return (True, 'exit_profit_t_8_4')
            elif max_profit > current_profit + 0.05 and last_candle['rsi_14'] < 43.0 and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf'] < -0.0):
                return (True, 'exit_profit_t_8_6')
            elif max_profit > current_profit + 0.08 and last_candle['rsi_14'] < 44.0 and (last_candle['cmf'] < -0.0):
                return (True, 'exit_profit_t_8_7')
            elif max_profit > current_profit + 0.05 and last_candle['rsi_14'] < 42.0 and (last_candle['cmf_1h'] < -0.1) and (last_candle['cmf'] < -0.0) and last_candle['sma_200_dec_20_1h']:
                return (True, 'exit_profit_t_8_8')
            elif max_profit > current_profit + 0.06 and last_candle['rsi_14'] < 42.0 and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_t_8_9')
            elif max_profit > current_profit + 0.06 and last_candle['rsi_14'] < 39.0 and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] > -20.0):
                return (True, 'exit_profit_t_8_10')
            elif max_profit > current_profit + 0.06 and last_candle['rsi_14'] < 36.0:
                return (True, 'exit_profit_t_8_11')
            elif max_profit > current_profit + 0.045 and last_candle['rsi_14'] < 37.0 and (last_candle['cmf'] < -0.25):
                return (True, 'exit_profit_t_8_12')
            elif max_profit > current_profit + 0.06 and last_candle['rsi_14_1h'] < 41.0 and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_8_13')
            elif max_profit > current_profit + 0.065 and last_candle['rsi_14_15m'] < 36.0 and (last_candle['rsi_14_1h'] < 41.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_8_14')
        elif 0.1 > current_profit >= 0.09:
            if max_profit > current_profit + 0.05 and last_candle['rsi_14'] < 41.0:
                return (True, 'exit_profit_t_9_1')
            elif max_profit > current_profit + 0.08 and last_candle['rsi_14'] < 45.0 and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_9_2')
            elif max_profit > current_profit + 0.075 and last_candle['sma_200_dec_20'] and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_9_3')
            elif max_profit > current_profit + 0.055 and last_candle['rsi_14'] < 43.0 and (last_candle['cmf'] < -0.0) and (last_candle['cti_1h'] > 0.8):
                return (True, 'exit_profit_t_9_4')
            elif max_profit > current_profit + 0.055 and last_candle['rsi_14'] < 42.0 and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf'] < -0.0):
                return (True, 'exit_profit_t_9_6')
            elif max_profit > current_profit + 0.08 and last_candle['rsi_14'] < 43.0 and (last_candle['cmf'] < -0.0):
                return (True, 'exit_profit_t_9_7')
            elif max_profit > current_profit + 0.055 and last_candle['rsi_14'] < 41.0 and (last_candle['cmf_1h'] < -0.1) and (last_candle['cmf'] < -0.0) and last_candle['sma_200_dec_20_1h']:
                return (True, 'exit_profit_t_9_8')
            elif max_profit > current_profit + 0.065 and last_candle['rsi_14'] < 41.0 and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_t_9_9')
            elif max_profit > current_profit + 0.065 and last_candle['rsi_14'] < 38.0 and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] > -20.0):
                return (True, 'exit_profit_t_9_10')
            elif max_profit > current_profit + 0.065 and last_candle['rsi_14'] < 36.0:
                return (True, 'exit_profit_t_9_11')
            elif max_profit > current_profit + 0.05 and last_candle['rsi_14'] < 36.0 and (last_candle['cmf'] < -0.25):
                return (True, 'exit_profit_t_9_12')
            elif max_profit > current_profit + 0.065 and last_candle['rsi_14_1h'] < 40.0 and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_9_13')
            elif max_profit > current_profit + 0.07 and last_candle['rsi_14_15m'] < 36.0 and (last_candle['rsi_14_1h'] < 40.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_9_14')
        elif 0.12 > current_profit >= 0.1:
            if max_profit > current_profit + 0.055 and last_candle['rsi_14'] < 40.0:
                return (True, 'exit_profit_t_10_1')
            elif max_profit > current_profit + 0.09 and last_candle['rsi_14'] < 45.0 and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_10_2')
            elif max_profit > current_profit + 0.08 and last_candle['sma_200_dec_20'] and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_10_3')
            elif max_profit > current_profit + 0.06 and last_candle['rsi_14'] < 42.0 and (last_candle['cmf'] < -0.0) and (last_candle['cti_1h'] > 0.8):
                return (True, 'exit_profit_t_10_4')
            elif max_profit > current_profit + 0.06 and last_candle['rsi_14'] < 41.0 and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf'] < -0.0):
                return (True, 'exit_profit_t_10_6')
            elif max_profit > current_profit + 0.08 and last_candle['rsi_14'] < 40.0 and (last_candle['cmf'] < -0.0):
                return (True, 'exit_profit_t_10_7')
            elif max_profit > current_profit + 0.06 and last_candle['rsi_14'] < 40.0 and (last_candle['cmf_1h'] < -0.1) and (last_candle['cmf'] < -0.0) and last_candle['sma_200_dec_20_1h']:
                return (True, 'exit_profit_t_10_8')
            elif max_profit > current_profit + 0.07 and last_candle['rsi_14'] < 40.0 and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_t_10_9')
            elif max_profit > current_profit + 0.07 and last_candle['rsi_14'] < 39.0 and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] > -20.0):
                return (True, 'exit_profit_t_10_10')
            elif max_profit > current_profit + 0.07 and last_candle['rsi_14'] < 35.0:
                return (True, 'exit_profit_t_10_11')
            elif max_profit > current_profit + 0.055 and last_candle['rsi_14'] < 35.0 and (last_candle['cmf'] < -0.25):
                return (True, 'exit_profit_t_10_12')
            elif max_profit > current_profit + 0.07 and last_candle['rsi_14_1h'] < 39.0 and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_10_13')
            elif max_profit > current_profit + 0.075 and last_candle['rsi_14_15m'] < 36.0 and (last_candle['rsi_14_1h'] < 39.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_10_14')
        elif 0.2 > current_profit >= 0.12:
            if max_profit > current_profit + 0.06 and last_candle['rsi_14'] < 38.0:
                return (True, 'exit_profit_t_11_1')
            elif max_profit > current_profit + 0.095 and last_candle['rsi_14'] < 40.0 and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_11_2')
            elif max_profit > current_profit + 0.085 and last_candle['sma_200_dec_20'] and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_11_3')
            elif max_profit > current_profit + 0.065 and last_candle['rsi_14'] < 40.0 and (last_candle['cmf'] < -0.0) and (last_candle['cti_1h'] > 0.8):
                return (True, 'exit_profit_t_11_4')
            elif max_profit > current_profit + 0.065 and last_candle['rsi_14'] < 40.0 and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf'] < -0.0):
                return (True, 'exit_profit_t_11_6')
            elif max_profit > current_profit + 0.08 and last_candle['rsi_14'] < 38.0 and (last_candle['cmf'] < -0.0):
                return (True, 'exit_profit_t_11_7')
            elif max_profit > current_profit + 0.065 and last_candle['rsi_14'] < 38.0 and (last_candle['cmf_1h'] < -0.1) and (last_candle['cmf'] < -0.0) and last_candle['sma_200_dec_20_1h']:
                return (True, 'exit_profit_t_11_8')
            elif max_profit > current_profit + 0.075 and last_candle['rsi_14'] < 38.0 and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_t_11_9')
            elif max_profit > current_profit + 0.075 and last_candle['rsi_14'] < 38.0 and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] > -20.0):
                return (True, 'exit_profit_t_11_10')
            elif max_profit > current_profit + 0.075 and last_candle['rsi_14'] < 34.0:
                return (True, 'exit_profit_t_11_11')
            elif max_profit > current_profit + 0.06 and last_candle['rsi_14'] < 34.0 and (last_candle['cmf'] < -0.25):
                return (True, 'exit_profit_t_11_12')
            elif max_profit > current_profit + 0.075 and last_candle['rsi_14_1h'] < 38.0 and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_11_13')
            elif max_profit > current_profit + 0.08 and last_candle['rsi_14_15m'] < 36.0 and (last_candle['rsi_14_1h'] < 38.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_11_14')
        elif current_profit >= 0.2:
            if max_profit > current_profit + 0.1 and last_candle['rsi_14'] < 36.0:
                return (True, 'exit_profit_t_12_1')
            elif max_profit > current_profit + 0.1 and last_candle['rsi_14'] < 38.0 and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_12_2')
            elif max_profit > current_profit + 0.09 and last_candle['sma_200_dec_20'] and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_12_3')
            elif max_profit > current_profit + 0.07 and last_candle['rsi_14'] < 38.0 and (last_candle['cmf'] < -0.0) and (last_candle['cti_1h'] > 0.8):
                return (True, 'exit_profit_t_12_4')
            elif max_profit > current_profit + 0.07 and last_candle['rsi_14'] < 38.0 and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf'] < -0.0):
                return (True, 'exit_profit_t_12_6')
            elif max_profit > current_profit + 0.08 and last_candle['rsi_14'] < 36.0 and (last_candle['cmf'] < -0.0):
                return (True, 'exit_profit_t_12_7')
            elif max_profit > current_profit + 0.07 and last_candle['rsi_14'] < 36.0 and (last_candle['cmf_1h'] < -0.1) and (last_candle['cmf'] < -0.0) and last_candle['sma_200_dec_20_1h']:
                return (True, 'exit_profit_t_12_8')
            elif max_profit > current_profit + 0.08 and last_candle['rsi_14'] < 36.0 and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_t_12_9')
            elif max_profit > current_profit + 0.08 and last_candle['rsi_14'] < 36.0 and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] > -20.0):
                return (True, 'exit_profit_t_12_10')
            elif max_profit > current_profit + 0.08 and last_candle['rsi_14'] < 33.0:
                return (True, 'exit_profit_t_12_11')
            elif max_profit > current_profit + 0.07 and last_candle['rsi_14'] < 33.0 and (last_candle['cmf'] < -0.25):
                return (True, 'exit_profit_t_12_12')
            elif max_profit > current_profit + 0.08 and last_candle['rsi_14_1h'] < 37.0 and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_12_13')
            elif max_profit > current_profit + 0.085 and last_candle['rsi_14_15m'] < 36.0 and (last_candle['rsi_14_1h'] < 37.0) and (last_candle['cmf_15m'] < -0.0) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_profit_t_12_14')
        return (False, None)

    def exit_dec_main(self, current_profit: float, last_candle) -> tuple:
        if last_candle['close'] > last_candle['ema_200']:
            if 0.02 > current_profit >= 0.012:
                if last_candle['rsi_14'] < 34.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 46.0) and (last_candle['cti'] < -0.75):
                    return (True, 'exit_profit_d_o_1_1')
                elif last_candle['rsi_14'] < 36.0 and last_candle['sma_200_dec_20'] and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 38.0):
                    return (True, 'exit_profit_d_o_1_2')
                elif last_candle['rsi_14'] < 36.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0) and last_candle['sma_200_dec_20_1h']:
                    return (True, 'exit_profit_d_o_1_3')
            # elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']):
            #     return True, 'exit_profit_d_o_1_4'
            # elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']):
            #     return True, 'exit_profit_d_o_1_5'
            elif 0.03 > current_profit >= 0.02:
                if last_candle['rsi_14'] < 36.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 48.0) and (last_candle['cti'] > 0.5):
                    return (True, 'exit_profit_d_o_2_1')
                elif last_candle['rsi_14'] < 38.0 and last_candle['sma_200_dec_20'] and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 40.0):
                    return (True, 'exit_profit_d_o_2_2')
                elif last_candle['rsi_14'] < 38.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 36.0) and last_candle['sma_200_dec_20_1h']:
                    return (True, 'exit_profit_d_o_2_3')
            # elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']):
            #     return True, 'exit_profit_d_o_2_4'
            # elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']):
            #     return True, 'exit_profit_d_o_2_5'
            elif 0.04 > current_profit >= 0.03:
                if last_candle['rsi_14'] < 40.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cti'] > 0.4):
                    return (True, 'exit_profit_d_o_3_1')
                elif last_candle['rsi_14'] < 42.0 and last_candle['sma_200_dec_20'] and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 42.0):
                    return (True, 'exit_profit_d_u_3_2')
                elif last_candle['rsi_14'] < 42.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 37.0) and last_candle['sma_200_dec_20_1h']:
                    return (True, 'exit_profit_d_o_3_3')
            # elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']):
            #     return True, 'exit_profit_d_o_3_4'
            # elif (last_candle['rsi_14'] < 55.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']):
            #     return True, 'exit_profit_d_o_3_5'
            elif 0.05 > current_profit >= 0.04:
                if last_candle['rsi_14'] < 44.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < 0.05) and (last_candle['rsi_14_1h'] < 55.0) and (last_candle['cti'] > 0.3):
                    return (True, 'exit_profit_d_o_4_1')
                elif last_candle['rsi_14'] < 46.0 and last_candle['sma_200_dec_20'] and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 44.0):
                    return (True, 'exit_profit_d_o_4_2')
                elif last_candle['rsi_14'] < 46.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 38.0) and last_candle['sma_200_dec_20_1h']:
                    return (True, 'exit_profit_d_o_4_3')
            # elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']):
            #     return True, 'exit_profit_d_o_4_4'
            # elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']):
            #     return True, 'exit_profit_d_o_4_5'
            elif 0.06 > current_profit >= 0.05:
                if last_candle['rsi_14'] < 48.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cti'] > 0.4):
                    return (True, 'exit_profit_d_o_5_1')
                elif last_candle['rsi_14'] < 49.0 and last_candle['sma_200_dec_20'] and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 46.0):
                    return (True, 'exit_profit_d_o_5_2')
                elif last_candle['rsi_14'] < 49.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 39.0) and last_candle['sma_200_dec_20_1h']:
                    return (True, 'exit_profit_d_o_5_3')
            # elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']):
            #     return True, 'exit_profit_d_o_5_4'
            # elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']):
            #     return True, 'exit_profit_d_o_5_5'
            elif 0.07 > current_profit >= 0.06:
                if last_candle['rsi_14'] < 46.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 48.0) and (last_candle['cti'] > 0.5):
                    return (True, 'exit_profit_d_o_6_1')
                elif last_candle['rsi_14'] < 48.0 and last_candle['sma_200_dec_20'] and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 44.0):
                    return (True, 'exit_profit_d_o_6_2')
                elif last_candle['rsi_14'] < 48.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 38.0) and last_candle['sma_200_dec_20_1h']:
                    return (True, 'exit_profit_d_o_6_3')
            # elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']):
            #     return True, 'exit_profit_d_o_6_4'
            # elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']):
            #     return True, 'exit_profit_d_o_6_5'
            elif 0.08 > current_profit >= 0.07:
                if last_candle['rsi_14'] < 44.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 46.0) and (last_candle['cti'] > 0.5):
                    return (True, 'exit_profit_d_o_7_1')
                elif last_candle['rsi_14'] < 46.0 and last_candle['sma_200_dec_20'] and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 42.0):
                    return (True, 'exit_profit_d_o_7_2')
                elif last_candle['rsi_14'] < 46.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 37.0) and last_candle['sma_200_dec_20_1h']:
                    return (True, 'exit_profit_d_o_7_3')
            # elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']):
            #     return True, 'exit_profit_d_o_7_4'
            # elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']):
            #     return True, 'exit_profit_d_o_7_5'
            elif 0.09 > current_profit >= 0.08:
                if last_candle['rsi_14'] < 42.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 44.0) and (last_candle['cti_1h'] > 0.5):
                    return (True, 'exit_profit_d_o_8_1')
                elif last_candle['rsi_14'] < 44.0 and last_candle['sma_200_dec_20'] and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 40.0):
                    return (True, 'exit_profit_d_o_8_2')
                elif last_candle['rsi_14'] < 44.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 36.0) and last_candle['sma_200_dec_20_1h']:
                    return (True, 'exit_profit_d_o_8_3')
            # elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']):
            #     return True, 'exit_profit_d_o_8_4'
            # elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']):
            #     return True, 'exit_profit_d_o_8_5'
            elif 0.1 > current_profit >= 0.09:
                if last_candle['rsi_14'] < 38.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 42.0) and (last_candle['cti'] > 0.5):
                    return (True, 'exit_profit_d_o_9_1')
                elif last_candle['rsi_14'] < 40.0 and last_candle['sma_200_dec_20'] and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 38.0):
                    return (True, 'exit_profit_d_o_9_2')
                elif last_candle['rsi_14'] < 40.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0) and last_candle['sma_200_dec_20_1h']:
                    return (True, 'exit_profit_d_o_9_3')
            # elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']):
            #     return True, 'exit_profit_d_o_9_4'
            # elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']):
            #     return True, 'exit_profit_d_o_9_5'
            elif 0.12 > current_profit >= 0.1:
                if last_candle['rsi_14'] < 36.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 38.0) and (last_candle['cti'] > 0.5):
                    return (True, 'exit_profit_d_o_10_1')
                elif last_candle['rsi_14'] < 38.0 and last_candle['sma_200_dec_20'] and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 36.0):
                    return (True, 'exit_profit_d_o_10_2')
                elif last_candle['rsi_14'] < 38.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 34.0) and last_candle['sma_200_dec_20_1h']:
                    return (True, 'exit_profit_d_o_10_3')
            # elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']):
            #     return True, 'exit_profit_d_o_10_4'
            # elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']):
            #     return True, 'exit_profit_d_o_10_5'
            elif 0.2 > current_profit >= 0.12:
                if last_candle['rsi_14'] < 34.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 35.0) and (last_candle['cti'] > 0.5):
                    return (True, 'exit_profit_d_o_11_1')
                elif last_candle['rsi_14'] < 36.0 and last_candle['sma_200_dec_20'] and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 34.0):
                    return (True, 'exit_profit_d_o_11_2')
                elif last_candle['rsi_14'] < 36.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 33.0) and last_candle['sma_200_dec_20_1h']:
                    return (True, 'exit_profit_d_o_11_3')
            # elif (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']):
            #     return True, 'exit_profit_d_o_11_4'
            # elif (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']):
            #     return True, 'exit_profit_d_o_11_5'
            elif current_profit >= 0.2:
                if last_candle['rsi_14'] < 34.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 34.0) and (last_candle['cti'] > 0.5):
                    return (True, 'exit_profit_d_o_12_1')
                elif last_candle['rsi_14'] < 35.0 and last_candle['sma_200_dec_20'] and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 32.0):
                    return (True, 'exit_profit_d_o_12_2')
                elif last_candle['rsi_14'] < 35.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 32.0) and last_candle['sma_200_dec_20_1h']:
                    return (True, 'exit_profit_d_o_12_3')
        # elif (last_candle['rsi_14'] < 38.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']):
        #     return True, 'exit_profit_d_o_12_4'
        # elif (last_candle['rsi_14'] < 39.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']):
        #     return True, 'exit_profit_d_o_12_5'
        elif 0.02 > current_profit >= 0.012:
            if last_candle['rsi_14'] < 35.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 36.0) and (last_candle['cti_1h'] < -0.85):
                return (True, 'exit_profit_d_u_1_1')
            elif last_candle['rsi_14'] < 37.0 and last_candle['sma_200_dec_20'] and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 42.0):
                return (True, 'exit_profit_d_u_1_2')
            elif last_candle['rsi_14'] < 37.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0) and last_candle['sma_200_dec_20_1h']:
                return (True, 'exit_profit_d_u_1_3')
        # elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']):
        #     return True, 'exit_profit_d_u_1_4'
        # elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']):
        #     return True, 'exit_profit_d_u_1_5'
        elif 0.03 > current_profit >= 0.02:
            if last_candle['rsi_14'] < 37.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 39.0) and (last_candle['cti_1h'] < -0.85):
                return (True, 'exit_profit_d_u_2_1')
            elif last_candle['rsi_14'] < 39.0 and last_candle['sma_200_dec_20'] and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 44.0):
                return (True, 'exit_profit_d_u_2_2')
            elif last_candle['rsi_14'] < 39.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 36.0) and last_candle['sma_200_dec_20_1h']:
                return (True, 'exit_profit_d_u_2_3')
        # elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']):
        #     return True, 'exit_profit_d_u_2_4'
        # elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']):
        #     return True, 'exit_profit_d_u_2_5'
        elif 0.04 > current_profit >= 0.03:
            if last_candle['rsi_14'] < 41.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 39.5) and (last_candle['cti_1h'] < -0.85):
                return (True, 'exit_profit_d_u_3_1')
            elif last_candle['rsi_14'] < 43.0 and last_candle['sma_200_dec_20'] and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 46.0):
                return (True, 'exit_profit_d_u_3_2')
            elif last_candle['rsi_14'] < 43.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 37.0) and last_candle['sma_200_dec_20_1h']:
                return (True, 'exit_profit_d_u_3_3')
        # elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']):
        #     return True, 'exit_profit_d_u_3_4'
        # elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']):
        #     return True, 'exit_profit_d_u_3_5'
        elif 0.05 > current_profit >= 0.04:
            if last_candle['rsi_14'] < 45.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 40.0) and (last_candle['cti_1h'] < -0.85):
                return (True, 'exit_profit_d_u_4_1')
            elif last_candle['rsi_14'] < 47.0 and last_candle['sma_200_dec_20'] and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 46.0):
                return (True, 'exit_profit_d_u_4_2')
            elif last_candle['rsi_14'] < 47.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 38.0) and last_candle['sma_200_dec_20_1h']:
                return (True, 'exit_profit_d_u_4_3')
        # elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']):
        #     return True, 'exit_profit_d_u_4_4'
        # elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']):
        #     return True, 'exit_profit_d_u_4_5'
        elif 0.06 > current_profit >= 0.05:
            if last_candle['rsi_14'] < 49.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 39.5) and (last_candle['cti_1h'] < -0.85):
                return (True, 'exit_profit_d_u_5_1')
            elif last_candle['rsi_14'] < 50.0 and last_candle['sma_200_dec_20'] and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 50.0):
                return (True, 'exit_profit_d_u_5_2')
            elif last_candle['rsi_14'] < 50.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 39.0) and last_candle['sma_200_dec_20_1h']:
                return (True, 'exit_profit_d_u_5_3')
        # elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']):
        #     return True, 'exit_profit_d_u_5_4'
        # elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']):
        #     return True, 'exit_profit_d_u_5_5'
        elif 0.07 > current_profit >= 0.06:
            if last_candle['rsi_14'] < 47.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 39.0) and (last_candle['cti_1h'] < -0.85):
                return (True, 'exit_profit_d_u_6_1')
            elif last_candle['rsi_14'] < 49.0 and last_candle['sma_200_dec_20'] and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 48.0):
                return (True, 'exit_profit_d_u_6_2')
            elif last_candle['rsi_14'] < 49.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 38.0) and last_candle['sma_200_dec_20_1h']:
                return (True, 'exit_profit_d_u_6_3')
        # elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']):
        #     return True, 'exit_profit_d_u_6_4'
        # elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']):
        #     return True, 'exit_profit_d_u_6_5'
        elif 0.08 > current_profit >= 0.07:
            if last_candle['rsi_14'] < 45.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 38.5) and (last_candle['cti_1h'] < -0.85):
                return (True, 'exit_profit_d_u_7_1')
            elif last_candle['rsi_14'] < 47.0 and last_candle['sma_200_dec_20'] and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 46.0):
                return (True, 'exit_profit_d_u_7_2')
            elif last_candle['rsi_14'] < 47.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 37.0) and last_candle['sma_200_dec_20_1h']:
                return (True, 'exit_profit_d_u_7_3')
        # elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']):
        #     return True, 'exit_profit_d_u_7_4'
        # elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']):
        #     return True, 'exit_profit_d_u_7_5'
        elif 0.09 > current_profit >= 0.08:
            if last_candle['rsi_14'] < 43.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 38.0) and (last_candle['cti_1h'] < -0.85):
                return (True, 'exit_profit_d_u_8_1')
            elif last_candle['rsi_14'] < 45.0 and last_candle['sma_200_dec_20'] and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 44.0):
                return (True, 'exit_profit_d_u_8_2')
            elif last_candle['rsi_14'] < 45.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 36.0) and last_candle['sma_200_dec_20_1h']:
                return (True, 'exit_profit_d_u_8_3')
        # elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']):
        #     return True, 'exit_profit_d_u_8_4'
        # elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']):
        #     return True, 'exit_profit_d_u_8_5'
        elif 0.1 > current_profit >= 0.09:
            if last_candle['rsi_14'] < 39.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 37.0) and (last_candle['cti_1h'] < -0.85):
                return (True, 'exit_profit_d_u_9_1')
            elif last_candle['rsi_14'] < 41.0 and last_candle['sma_200_dec_20'] and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 42.0):
                return (True, 'exit_profit_d_u_9_2')
            elif last_candle['rsi_14'] < 41.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0) and last_candle['sma_200_dec_20_1h']:
                return (True, 'exit_profit_d_u_9_3')
        # elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']):
        #     return True, 'exit_profit_d_u_9_4'
        # elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']):
        #     return True, 'exit_profit_d_u_9_5'
        elif 0.12 > current_profit >= 0.1:
            if last_candle['rsi_14'] < 37.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 36.0) and (last_candle['cti_1h'] < -0.85):
                return (True, 'exit_profit_d_u_10_1')
            elif last_candle['rsi_14'] < 39.0 and last_candle['sma_200_dec_20'] and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 40.0):
                return (True, 'exit_profit_d_u_10_2')
            elif last_candle['rsi_14'] < 39.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 34.0) and last_candle['sma_200_dec_20_1h']:
                return (True, 'exit_profit_d_u_10_3')
        # elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']):
        #     return True, 'exit_profit_d_u_10_4'
        # elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']):
        #     return True, 'exit_profit_d_u_10_5'
        elif 0.2 > current_profit >= 0.12:
            if last_candle['rsi_14'] < 35.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 35.0) and (last_candle['cti_1h'] < -0.85):
                return (True, 'exit_profit_d_u_11_1')
            elif last_candle['rsi_14'] < 37.0 and last_candle['sma_200_dec_20'] and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 38.0):
                return (True, 'exit_profit_d_u_11_2')
            elif last_candle['rsi_14'] < 37.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 33.0) and last_candle['sma_200_dec_20_1h']:
                return (True, 'exit_profit_d_u_11_3')
        # elif (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']):
        #     return True, 'exit_profit_d_u_11_4'
        # elif (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']):
        #     return True, 'exit_profit_d_u_11_5'
        elif current_profit >= 0.2:
            if last_candle['rsi_14'] < 33.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 34.0) and (last_candle['cti_1h'] < -0.85):
                return (True, 'exit_profit_d_u_12_1')
            elif last_candle['rsi_14'] < 34.0 and last_candle['sma_200_dec_20'] and last_candle['sma_200_dec_20_1h'] and (last_candle['rsi_14_1h'] < 36.0):
                return (True, 'exit_profit_d_u_12_2')
            elif last_candle['rsi_14'] < 34.0 and last_candle['sma_200_dec_20'] and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 32.0) and last_candle['sma_200_dec_20_1h']:
                return (True, 'exit_profit_d_u_12_3')
        # elif (last_candle['rsi_14'] < 38.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']):
        #     return True, 'exit_profit_d_u_12_4'
        # elif (last_candle['rsi_14'] < 39.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']):
        #     return True, 'exit_profit_d_u_12_5'
        return (False, None)

    def exit_pump_main(self, current_profit: float, last_candle) -> tuple:
        if last_candle['hl_pct_change_48_1h'] > 0.9:
            if last_candle['ema_vwma_osc_96'] > 0.0:
                if current_profit >= 0.2:
                    if last_candle['rsi_14'] < 30.0:
                        return (True, 'exit_profit_p_bull_48_1_12_1')
                elif 0.2 > current_profit >= 0.12:
                    if last_candle['rsi_14'] < 32.0:
                        return (True, 'exit_profit_p_bull_48_1_11_1')
                elif 0.12 > current_profit >= 0.1:
                    if last_candle['rsi_14'] < 40.0:
                        return (True, 'exit_profit_p_bull_48_1_10_1')
                elif 0.1 > current_profit >= 0.09:
                    if last_candle['rsi_14'] < 47.0:
                        return (True, 'exit_profit_p_bull_48_1_9_1')
                elif 0.09 > current_profit >= 0.08:
                    if last_candle['rsi_14'] < 46.0:
                        return (True, 'exit_profit_p_bull_48_1_8_1')
                elif 0.08 > current_profit >= 0.07:
                    if last_candle['rsi_14'] < 45.0:
                        return (True, 'exit_profit_p_bull_48_1_7_1')
                elif 0.07 > current_profit >= 0.06:
                    if last_candle['rsi_14'] < 44.0:
                        return (True, 'exit_profit_p_bull_48_1_6_1')
                elif 0.06 > current_profit >= 0.05:
                    if last_candle['rsi_14'] < 43.0:
                        return (True, 'exit_profit_p_bull_48_1_5_1')
                elif 0.05 > current_profit >= 0.04:
                    if last_candle['rsi_14'] < 42.0:
                        return (True, 'exit_profit_p_bull_48_1_4_1')
                elif 0.04 > current_profit >= 0.03:
                    if last_candle['rsi_14'] < 38.0:
                        return (True, 'exit_profit_p_bull_48_1_3_1')
                elif 0.03 > current_profit >= 0.02:
                    if last_candle['rsi_14'] < 34.0:
                        return (True, 'exit_profit_p_bull_48_1_2_1')
                elif 0.02 > current_profit >= 0.01:
                    if last_candle['rsi_14'] < 32.0:
                        return (True, 'exit_profit_p_bull_48_1_1_1')
            elif current_profit >= 0.2:
                if last_candle['rsi_14'] < 31.0:
                    return (True, 'exit_profit_p_bear_48_1_12_1')
            elif 0.2 > current_profit >= 0.12:
                if last_candle['rsi_14'] < 33.0:
                    return (True, 'exit_profit_p_bear_48_1_11_1')
            elif 0.12 > current_profit >= 0.1:
                if last_candle['rsi_14'] < 41.0:
                    return (True, 'exit_profit_p_bear_48_1_10_1')
            elif 0.1 > current_profit >= 0.09:
                if last_candle['rsi_14'] < 48.0:
                    return (True, 'exit_profit_p_bear_48_1_9_1')
            elif 0.09 > current_profit >= 0.08:
                if last_candle['rsi_14'] < 47.0:
                    return (True, 'exit_profit_p_bear_48_1_8_1')
            elif 0.08 > current_profit >= 0.07:
                if last_candle['rsi_14'] < 46.0:
                    return (True, 'exit_profit_p_bear_48_1_7_1')
            elif 0.07 > current_profit >= 0.06:
                if last_candle['rsi_14'] < 45.0:
                    return (True, 'exit_profit_p_bear_48_1_6_1')
            elif 0.06 > current_profit >= 0.05:
                if last_candle['rsi_14'] < 44.0:
                    return (True, 'exit_profit_p_bear_48_1_5_1')
            elif 0.05 > current_profit >= 0.04:
                if last_candle['rsi_14'] < 43.0:
                    return (True, 'exit_profit_p_bear_48_1_4_1')
            elif 0.04 > current_profit >= 0.03:
                if last_candle['rsi_14'] < 39.0:
                    return (True, 'exit_profit_p_bear_48_1_3_1')
            elif 0.03 > current_profit >= 0.02:
                if last_candle['rsi_14'] < 36.0:
                    return (True, 'exit_profit_p_bear_48_1_2_1')
            elif 0.02 > current_profit >= 0.01:
                if last_candle['rsi_14'] < 33.0:
                    return (True, 'exit_profit_p_bear_48_1_1_1')
        if last_candle['hl_pct_change_48_1h'] > 0.8:
            if last_candle['ema_vwma_osc_96'] > 0.0:
                if current_profit >= 0.2:
                    if last_candle['rsi_14'] < 32.0 and last_candle['cmf'] < -0.35:
                        return (True, 'exit_profit_p_bull_48_2_12_1')
                elif 0.2 > current_profit >= 0.12:
                    if last_candle['rsi_14'] < 33.0 and last_candle['cmf'] < -0.35:
                        return (True, 'exit_profit_p_bull_48_2_11_1')
                elif 0.12 > current_profit >= 0.1:
                    if last_candle['rsi_14'] < 35.0 and last_candle['cmf'] < -0.35:
                        return (True, 'exit_profit_p_bull_48_2_10_1')
                elif 0.1 > current_profit >= 0.09:
                    if last_candle['rsi_14'] < 39.0 and last_candle['cmf'] < -0.3:
                        return (True, 'exit_profit_p_bull_48_2_9_1')
                elif 0.09 > current_profit >= 0.08:
                    if last_candle['rsi_14'] < 43.0 and last_candle['cmf'] < -0.25:
                        return (True, 'exit_profit_p_bull_48_2_8_1')
                elif 0.08 > current_profit >= 0.07:
                    if last_candle['rsi_14'] < 45.0 and last_candle['cmf'] < -0.25:
                        return (True, 'exit_profit_p_bull_48_2_7_1')
                elif 0.07 > current_profit >= 0.06:
                    if last_candle['rsi_14'] < 47.0 and last_candle['cmf'] < -0.25:
                        return (True, 'exit_profit_p_bull_48_2_6_1')
                elif 0.06 > current_profit >= 0.05:
                    if last_candle['rsi_14'] < 45.0 and last_candle['cmf'] < -0.2:
                        return (True, 'exit_profit_p_bull_48_2_5_1')
                elif 0.05 > current_profit >= 0.04:
                    if last_candle['rsi_14'] < 43.0 and last_candle['cmf'] < -0.2:
                        return (True, 'exit_profit_p_bull_48_2_4_1')
                elif 0.04 > current_profit >= 0.03:
                    if last_candle['rsi_14'] < 41.0 and last_candle['cmf'] < -0.25:
                        return (True, 'exit_profit_p_bull_48_2_3_1')
                elif 0.03 > current_profit >= 0.02:
                    if last_candle['rsi_14'] < 39.0 and last_candle['cmf'] < -0.25:
                        return (True, 'exit_profit_p_bull_48_2_2_1')
                elif 0.02 > current_profit >= 0.01:
                    if last_candle['rsi_14'] < 37.0 and last_candle['cmf'] < -0.25:
                        return (True, 'exit_profit_p_bull_48_2_1_1')
            elif current_profit >= 0.2:
                if last_candle['rsi_14'] < 33.0 and last_candle['cmf'] < -0.35:
                    return (True, 'exit_profit_p_bear_48_2_12_1')
            elif 0.2 > current_profit >= 0.12:
                if last_candle['rsi_14'] < 34.0 and last_candle['cmf'] < -0.35:
                    return (True, 'exit_profit_p_bear_48_2_11_1')
            elif 0.12 > current_profit >= 0.1:
                if last_candle['rsi_14'] < 36.0 and last_candle['cmf'] < -0.35:
                    return (True, 'exit_profit_p_bear_48_2_10_1')
            elif 0.1 > current_profit >= 0.09:
                if last_candle['rsi_14'] < 40.0 and last_candle['cmf'] < -0.2:
                    return (True, 'exit_profit_p_bear_48_2_9_1')
            elif 0.09 > current_profit >= 0.08:
                if last_candle['rsi_14'] < 44.0 and last_candle['cmf'] < -0.2:
                    return (True, 'exit_profit_p_bear_48_2_8_1')
            elif 0.08 > current_profit >= 0.07:
                if last_candle['rsi_14'] < 46.0 and last_candle['cmf'] < -0.1:
                    return (True, 'exit_profit_p_bear_48_2_7_1')
            elif 0.07 > current_profit >= 0.06:
                if last_candle['rsi_14'] < 48.0 and last_candle['cmf'] < -0.1:
                    return (True, 'exit_profit_p_bear_48_2_6_1')
            elif 0.06 > current_profit >= 0.05:
                if last_candle['rsi_14'] < 46.0 and last_candle['cmf'] < -0.1:
                    return (True, 'exit_profit_p_bear_48_2_5_1')
            elif 0.05 > current_profit >= 0.04:
                if last_candle['rsi_14'] < 44.0 and last_candle['cmf'] < -0.1:
                    return (True, 'exit_profit_p_bear_48_2_4_1')
            elif 0.04 > current_profit >= 0.03:
                if last_candle['rsi_14'] < 42.0 and last_candle['cmf'] < -0.1:
                    return (True, 'exit_profit_p_bear_48_2_3_1')
            elif 0.03 > current_profit >= 0.02:
                if last_candle['rsi_14'] < 40.0 and last_candle['cmf'] < -0.1:
                    return (True, 'exit_profit_p_bear_48_2_2_1')
            elif 0.02 > current_profit >= 0.01:
                if last_candle['rsi_14'] < 38.0 and last_candle['cmf'] < -0.15:
                    return (True, 'exit_profit_p_bear_48_2_1_1')
        if last_candle['hl_pct_change_48_1h'] > 0.5:
            if last_candle['ema_vwma_osc_96'] > 0.0:
                if current_profit >= 0.2:
                    if last_candle['rsi_14'] < 32.0 and last_candle['cmf'] < -0.35:
                        return (True, 'exit_profit_p_bull_48_3_12_1')
                elif 0.2 > current_profit >= 0.12:
                    if last_candle['rsi_14'] < 33.0 and last_candle['cmf'] < -0.35:
                        return (True, 'exit_profit_p_bull_48_3_11_1')
                elif 0.12 > current_profit >= 0.1:
                    if last_candle['rsi_14'] < 35.0 and last_candle['cmf'] < -0.35:
                        return (True, 'exit_profit_p_bull_48_3_10_1')
                elif 0.1 > current_profit >= 0.09:
                    if last_candle['rsi_14'] < 39.0 and last_candle['cmf'] < -0.3:
                        return (True, 'exit_profit_p_bull_48_3_9_1')
                elif 0.09 > current_profit >= 0.08:
                    if last_candle['rsi_14'] < 43.0 and last_candle['cmf'] < -0.25:
                        return (True, 'exit_profit_p_bull_48_3_8_1')
                elif 0.08 > current_profit >= 0.07:
                    if last_candle['rsi_14'] < 45.0 and last_candle['cmf'] < -0.25:
                        return (True, 'exit_profit_p_bull_48_3_7_1')
                elif 0.07 > current_profit >= 0.06:
                    if last_candle['rsi_14'] < 47.0 and last_candle['cmf'] < -0.25:
                        return (True, 'exit_profit_p_bull_48_3_6_1')
                elif 0.06 > current_profit >= 0.05:
                    if last_candle['rsi_14'] < 45.0 and last_candle['cmf'] < -0.2:
                        return (True, 'exit_profit_p_bull_48_3_5_1')
                elif 0.05 > current_profit >= 0.04:
                    if last_candle['rsi_14'] < 43.0 and last_candle['cmf'] < -0.2:
                        return (True, 'exit_profit_p_bull_48_3_4_1')
                elif 0.04 > current_profit >= 0.03:
                    if last_candle['rsi_14'] < 41.0 and last_candle['cmf'] < -0.25:
                        return (True, 'exit_profit_p_bull_48_3_3_1')
                elif 0.03 > current_profit >= 0.02:
                    if last_candle['rsi_14'] < 39.0 and last_candle['cmf'] < -0.25:
                        return (True, 'exit_profit_p_bull_48_3_2_1')
                elif 0.02 > current_profit >= 0.01:
                    if last_candle['rsi_14'] < 37.0 and last_candle['cmf'] < -0.25:
                        return (True, 'exit_profit_p_bull_48_3_1_1')
            elif current_profit >= 0.2:
                if last_candle['rsi_14'] < 33.0 and last_candle['cmf'] < -0.35:
                    return (True, 'exit_profit_p_bear_48_3_12_1')
            elif 0.2 > current_profit >= 0.12:
                if last_candle['rsi_14'] < 34.0 and last_candle['cmf'] < -0.35:
                    return (True, 'exit_profit_p_bear_48_3_11_1')
            elif 0.12 > current_profit >= 0.1:
                if last_candle['rsi_14'] < 36.0 and last_candle['cmf'] < -0.35:
                    return (True, 'exit_profit_p_bear_48_3_10_1')
            elif 0.1 > current_profit >= 0.09:
                if last_candle['rsi_14'] < 40.0 and last_candle['cmf'] < -0.3:
                    return (True, 'exit_profit_p_bear_48_3_9_1')
            elif 0.09 > current_profit >= 0.08:
                if last_candle['rsi_14'] < 44.0 and last_candle['cmf'] < -0.25:
                    return (True, 'exit_profit_p_bear_48_3_8_1')
            elif 0.08 > current_profit >= 0.07:
                if last_candle['rsi_14'] < 46.0 and last_candle['cmf'] < -0.25:
                    return (True, 'exit_profit_p_bear_48_3_7_1')
            elif 0.07 > current_profit >= 0.06:
                if last_candle['rsi_14'] < 48.0 and last_candle['cmf'] < -0.25:
                    return (True, 'exit_profit_p_bear_48_3_6_1')
            elif 0.06 > current_profit >= 0.05:
                if last_candle['rsi_14'] < 46.0 and last_candle['cmf'] < -0.2:
                    return (True, 'exit_profit_p_bear_48_3_5_1')
            elif 0.05 > current_profit >= 0.04:
                if last_candle['rsi_14'] < 44.0 and last_candle['cmf'] < -0.2:
                    return (True, 'exit_profit_p_bear_48_3_4_1')
            elif 0.04 > current_profit >= 0.03:
                if last_candle['rsi_14'] < 42.0 and last_candle['cmf'] < -0.25:
                    return (True, 'exit_profit_p_bear_48_3_3_1')
            elif 0.03 > current_profit >= 0.02:
                if last_candle['rsi_14'] < 40.0 and last_candle['cmf'] < -0.25:
                    return (True, 'exit_profit_p_bear_48_3_2_1')
            elif 0.02 > current_profit >= 0.01:
                if last_candle['rsi_14'] < 38.0 and last_candle['cmf'] < -0.25:
                    return (True, 'exit_profit_p_bear_48_3_1_1')
        if last_candle['hl_pct_change_36_1h'] > 0.72:
            if last_candle['ema_vwma_osc_96'] > 0.0:
                if current_profit >= 0.2:
                    if last_candle['rsi_14'] < 31.0:
                        return (True, 'exit_profit_p_bull_36_1_12_1')
                elif 0.2 > current_profit >= 0.12:
                    if last_candle['rsi_14'] < 33.0:
                        return (True, 'exit_profit_p_bull_36_1_11_1')
                elif 0.12 > current_profit >= 0.1:
                    if last_candle['rsi_14'] < 41.0:
                        return (True, 'exit_profit_p_bull_36_1_10_1')
                elif 0.1 > current_profit >= 0.09:
                    if last_candle['rsi_14'] < 49.0:
                        return (True, 'exit_profit_p_bull_36_1_9_1')
                elif 0.09 > current_profit >= 0.08:
                    if last_candle['rsi_14'] < 48.0:
                        return (True, 'exit_profit_p_bull_36_1_8_1')
                elif 0.08 > current_profit >= 0.07:
                    if last_candle['rsi_14'] < 47.0:
                        return (True, 'exit_profit_p_bull_36_1_7_1')
                elif 0.07 > current_profit >= 0.06:
                    if last_candle['rsi_14'] < 46.0:
                        return (True, 'exit_profit_p_bull_36_1_6_1')
                elif 0.06 > current_profit >= 0.05:
                    if last_candle['rsi_14'] < 45.0:
                        return (True, 'exit_profit_p_bull_36_1_5_1')
                elif 0.05 > current_profit >= 0.04:
                    if last_candle['rsi_14'] < 43.0:
                        return (True, 'exit_profit_p_bull_36_1_4_1')
                elif 0.04 > current_profit >= 0.03:
                    if last_candle['rsi_14'] < 39.0:
                        return (True, 'exit_profit_p_bull_36_1_3_1')
                elif 0.03 > current_profit >= 0.02:
                    if last_candle['rsi_14'] < 35.0:
                        return (True, 'exit_profit_p_bull_36_1_2_1')
                elif 0.02 > current_profit >= 0.01:
                    if last_candle['rsi_14'] < 33.0:
                        return (True, 'exit_profit_p_bull_36_1_1_1')
            elif current_profit >= 0.2:
                if last_candle['rsi_14'] < 32.0:
                    return (True, 'exit_profit_p_bear_36_1_12_1')
            elif 0.2 > current_profit >= 0.12:
                if last_candle['rsi_14'] < 34.0:
                    return (True, 'exit_profit_p_bear_36_1_11_1')
            elif 0.12 > current_profit >= 0.1:
                if last_candle['rsi_14'] < 42.0:
                    return (True, 'exit_profit_p_bear_36_1_10_1')
            elif 0.1 > current_profit >= 0.09:
                if last_candle['rsi_14'] < 50.0:
                    return (True, 'exit_profit_p_bear_36_1_9_1')
            elif 0.09 > current_profit >= 0.08:
                if last_candle['rsi_14'] < 49.0:
                    return (True, 'exit_profit_p_bear_36_1_8_1')
            elif 0.08 > current_profit >= 0.07:
                if last_candle['rsi_14'] < 48.0:
                    return (True, 'exit_profit_p_bear_36_1_7_1')
            elif 0.07 > current_profit >= 0.06:
                if last_candle['rsi_14'] < 47.0:
                    return (True, 'exit_profit_p_bear_36_1_6_1')
            elif 0.06 > current_profit >= 0.05:
                if last_candle['rsi_14'] < 46.0:
                    return (True, 'exit_profit_p_bear_36_1_5_1')
            elif 0.05 > current_profit >= 0.04:
                if last_candle['rsi_14'] < 44.0:
                    return (True, 'exit_profit_p_bear_36_1_4_1')
            elif 0.04 > current_profit >= 0.03:
                if last_candle['rsi_14'] < 40.0:
                    return (True, 'exit_profit_p_bear_36_1_3_1')
            elif 0.03 > current_profit >= 0.02:
                if last_candle['rsi_14'] < 36.0:
                    return (True, 'exit_profit_p_bear_36_1_2_1')
            elif 0.02 > current_profit >= 0.01:
                if last_candle['rsi_14'] < 34.0:
                    return (True, 'exit_profit_p_bear_36_1_1_1')
        if last_candle['hl_pct_change_24_1h'] > 0.68:
            if last_candle['ema_vwma_osc_96'] > 0.0:
                if current_profit >= 0.2:
                    if last_candle['rsi_14'] < 31.0:
                        return (True, 'exit_profit_p_bull_24_1_12_1')
                elif 0.2 > current_profit >= 0.12:
                    if last_candle['rsi_14'] < 33.0:
                        return (True, 'exit_profit_p_bull_24_1_11_1')
                elif 0.12 > current_profit >= 0.1:
                    if last_candle['rsi_14'] < 41.0:
                        return (True, 'exit_profit_p_bull_24_1_10_1')
                elif 0.1 > current_profit >= 0.09:
                    if last_candle['rsi_14'] < 49.0:
                        return (True, 'exit_profit_p_bull_24_1_9_1')
                elif 0.09 > current_profit >= 0.08:
                    if last_candle['rsi_14'] < 47.0:
                        return (True, 'exit_profit_p_bull_24_1_8_1')
                elif 0.08 > current_profit >= 0.07:
                    if last_candle['rsi_14'] < 45.0:
                        return (True, 'exit_profit_p_bull_24_1_7_1')
                elif 0.07 > current_profit >= 0.06:
                    if last_candle['rsi_14'] < 43.0:
                        return (True, 'exit_profit_p_bull_24_1_6_1')
                elif 0.06 > current_profit >= 0.05:
                    if last_candle['rsi_14'] < 41.0:
                        return (True, 'exit_profit_p_bull_24_1_5_1')
                elif 0.05 > current_profit >= 0.04:
                    if last_candle['rsi_14'] < 39.0:
                        return (True, 'exit_profit_p_bull_24_1_4_1')
                elif 0.04 > current_profit >= 0.03:
                    if last_candle['rsi_14'] < 37.0:
                        return (True, 'exit_profit_p_bull_24_1_3_1')
                elif 0.03 > current_profit >= 0.02:
                    if last_candle['rsi_14'] < 35.0:
                        return (True, 'exit_profit_p_bull_24_1_2_1')
                elif 0.02 > current_profit >= 0.01:
                    if last_candle['rsi_14'] < 33.0:
                        return (True, 'exit_profit_p_bull_24_1_1_1')
            elif current_profit >= 0.2:
                if last_candle['rsi_14'] < 32.0:
                    return (True, 'exit_profit_p_bear_24_1_12_1')
            elif 0.2 > current_profit >= 0.12:
                if last_candle['rsi_14'] < 34.0:
                    return (True, 'exit_profit_p_bear_24_1_11_1')
            elif 0.12 > current_profit >= 0.1:
                if last_candle['rsi_14'] < 42.0:
                    return (True, 'exit_profit_p_bear_24_1_10_1')
            elif 0.1 > current_profit >= 0.09:
                if last_candle['rsi_14'] < 50.0:
                    return (True, 'exit_profit_p_bear_24_1_9_1')
            elif 0.09 > current_profit >= 0.08:
                if last_candle['rsi_14'] < 48.0:
                    return (True, 'exit_profit_p_bear_24_1_8_1')
            elif 0.08 > current_profit >= 0.07:
                if last_candle['rsi_14'] < 46.0:
                    return (True, 'exit_profit_p_bear_24_1_7_1')
            elif 0.07 > current_profit >= 0.06:
                if last_candle['rsi_14'] < 44.0:
                    return (True, 'exit_profit_p_bear_24_1_6_1')
            elif 0.06 > current_profit >= 0.05:
                if last_candle['rsi_14'] < 42.0:
                    return (True, 'exit_profit_p_bear_24_1_5_1')
            elif 0.05 > current_profit >= 0.04:
                if last_candle['rsi_14'] < 40.0:
                    return (True, 'exit_profit_p_bear_24_1_4_1')
            elif 0.04 > current_profit >= 0.03:
                if last_candle['rsi_14'] < 38.0:
                    return (True, 'exit_profit_p_bear_24_1_3_1')
            elif 0.03 > current_profit >= 0.02:
                if last_candle['rsi_14'] < 36.0:
                    return (True, 'exit_profit_p_bear_24_1_2_1')
            elif 0.02 > current_profit >= 0.01:
                if last_candle['rsi_14'] < 34.0:
                    return (True, 'exit_profit_p_bear_24_1_1_1')
        return (False, None)

    def exit_pump_stoploss(self, current_profit: float, max_profit: float, max_loss: float, last_candle, previous_candle_1, trade: 'Trade', current_time: 'datetime') -> tuple:
        if last_candle['hl_pct_change_48_1h'] > 0.95:
            if -0.04 > current_profit > -0.08 and max_profit < 0.005 and (max_loss < 0.08) and (last_candle['close'] < last_candle['ema_200']) and last_candle['sma_200_dec_20'] and (last_candle['ema_vwma_osc_32'] < 0.0) and (last_candle['ema_vwma_osc_64'] < 0.0) and (last_candle['ema_vwma_osc_96'] < 0.0) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_stoploss_p_48_1_1')
            elif -0.04 > current_profit > -0.08 and max_profit < 0.01 and (max_loss < 0.08) and (last_candle['close'] < last_candle['ema_200']) and last_candle['sma_200_dec_20'] and (last_candle['ema_vwma_osc_32'] < 0.0) and (last_candle['ema_vwma_osc_64'] < 0.0) and (last_candle['ema_vwma_osc_96'] < 0.0) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_1h'] < -0.0):
                return (True, 'exit_stoploss_p_48_1_2')
        if last_candle['hl_pct_change_36_1h'] > 0.7:
            if -0.04 > current_profit > -0.08 and max_loss < 0.08 and (max_profit > current_profit + 0.1) and (last_candle['close'] < last_candle['ema_200']) and last_candle['sma_200_dec_20'] and last_candle['sma_200_dec_20_1h'] and (last_candle['ema_vwma_osc_32'] < 0.0) and (last_candle['ema_vwma_osc_64'] < 0.0) and (last_candle['ema_vwma_osc_96'] < 0.0) and (last_candle['cmf'] < -0.25):
                return (True, 'exit_stoploss_p_36_1_1')
        if last_candle['hl_pct_change_36_1h'] > 0.5:
            if -0.05 > current_profit > -0.08 and max_loss < 0.08 and (max_profit > current_profit + 0.1) and (last_candle['close'] < last_candle['ema_200']) and last_candle['sma_200_dec_20'] and last_candle['sma_200_dec_20_1h'] and (last_candle['ema_vwma_osc_32'] < 0.0) and (last_candle['ema_vwma_osc_64'] < 0.0) and (last_candle['ema_vwma_osc_96'] < 0.0) and (last_candle['cmf'] < -0.25) and (last_candle['rsi_14'] < 40.0):
                return (True, 'exit_stoploss_p_36_2_1')
        if last_candle['hl_pct_change_24_1h'] > 0.6:
            if -0.04 > current_profit > -0.08 and max_loss < 0.08 and (last_candle['close'] < last_candle['ema_200']) and last_candle['sma_200_dec_20'] and last_candle['sma_200_dec_20_1h'] and (last_candle['ema_vwma_osc_32'] < 0.0) and (last_candle['ema_vwma_osc_64'] < 0.0) and (last_candle['ema_vwma_osc_96'] < 0.0) and (last_candle['cmf'] < -0.25):
                return (True, 'exit_stoploss_p_24_1_1')
        return (False, None)

    def exit_long_mode(self, current_profit: float, max_profit: float, max_loss: float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: 'Trade', current_time: 'datetime', enter_tag) -> tuple:
        # Original exit signals
        exit_long, signal_name = self.exit_signals(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tag)
        if exit_long and signal_name is not None:
            return (True, signal_name)
        # Stoplosses
        exit_long, signal_name = self.exit_stoploss(current_profit, max_profit, max_loss, last_candle, previous_candle_1, trade, current_time)
        if exit_long and signal_name is not None:
            return (True, signal_name)
        if 0.0 < current_profit <= 0.02 and max_profit - current_profit > 0.03 and (last_candle['cmf'] < 0.0):
            return (True, 'exit_long_t_0')
        elif 0.02 < current_profit <= 0.04 and max_profit - current_profit > 0.03 and (last_candle['cmf'] < 0.0):
            return (True, 'exit_long_t_1')
        elif 0.04 < current_profit <= 0.06 and max_profit - current_profit > 0.035 and (last_candle['cmf'] < 0.0):
            return (True, 'exit_long_t_2')
        elif 0.06 < current_profit <= 0.08 and max_profit - current_profit > 0.04 and (last_candle['cmf'] < 0.0):
            return (True, 'exit_long_t_3')
        elif 0.08 < current_profit <= 0.1 and max_profit - current_profit > 0.045 and (last_candle['cmf'] < 0.0):
            return (True, 'exit_long_t_4')
        elif 0.1 < current_profit <= 0.12 and max_profit - current_profit > 0.05 and (last_candle['cmf'] < 0.0):
            return (True, 'exit_long_t_5')
        elif 0.12 < current_profit <= 0.14 and max_profit - current_profit > 0.055 and (last_candle['cmf'] < 0.0):
            return (True, 'exit_long_t_6')
        elif 0.14 < current_profit <= 0.16 and max_profit - current_profit > 0.06 and (last_candle['cmf'] < 0.0):
            return (True, 'exit_long_t_7')
        elif 0.16 < current_profit <= 0.18 and max_profit - current_profit > 0.065 and (last_candle['cmf'] < 0.0):
            return (True, 'exit_long_t_8')
        elif 0.18 < current_profit <= 0.2 and max_profit - current_profit > 0.07 and (last_candle['cmf'] < 0.0):
            return (True, 'exit_long_t_8')
        elif 0.2 < current_profit <= 0.3 and max_profit - current_profit > 0.075 and (last_candle['cmf'] < 0.0):
            return (True, 'exit_long_t_9')
        elif 0.3 < current_profit <= 0.4 and max_profit - current_profit > 0.08 and (last_candle['cmf'] < 0.0):
            return (True, 'exit_long_t_10')
        elif 0.4 < current_profit <= 0.5 and max_profit - current_profit > 0.085 and (last_candle['cmf'] < 0.0):
            return (True, 'exit_long_t_11')
        elif 0.5 < current_profit <= 1.0 and max_profit - current_profit > 0.09 and (last_candle['cmf'] < 0.0):
            return (True, 'exit_long_t_12')
        return (False, None)

    def exit_quick_mode(self, current_profit: float, max_profit: float, last_candle, previous_candle_1) -> tuple:
        if 0.06 > current_profit > 0.02 and last_candle['rsi_14'] > 80.0:
            return (True, 'signal_profit_q_1')
        if 0.06 > current_profit > 0.02 and last_candle['cti'] > 0.95:
            return (True, 'signal_profit_q_2')
        if 0.04 > current_profit > 0.02 and last_candle['pm'] <= last_candle['pmax_thresh'] and (last_candle['close'] > last_candle['sma_21'] * 1.1):
            return (True, 'signal_profit_q_pmax_bull')
        if 0.045 > current_profit > 0.005 and last_candle['pm'] > last_candle['pmax_thresh'] and (last_candle['close'] > last_candle['sma_21'] * 1.016):
            return (True, 'signal_profit_q_pmax_bear')
        if last_candle['momdiv_exit_1h'] == True and current_profit > 0.02:
            return (True, 'signal_profit_q_momdiv_1h')
        if last_candle['momdiv_exit'] == True and current_profit > 0.02:
            return (True, 'signal_profit_q_momdiv')
        if last_candle['momdiv_coh'] == True and current_profit > 0.02:
            return (True, 'signal_profit_q_momdiv_coh')
        return (False, None)

    def custom_exit(self, pair: str, trade: 'Trade', current_time: 'datetime', current_rate: float, current_profit: float, **kwargs):
        dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe)
        last_candle = dataframe.iloc[-1]
        previous_candle_1 = dataframe.iloc[-2]
        previous_candle_2 = dataframe.iloc[-3]
        previous_candle_3 = dataframe.iloc[-4]
        previous_candle_4 = dataframe.iloc[-5]
        previous_candle_5 = dataframe.iloc[-6]
        enter_tag = 'empty'
        if hasattr(trade, 'enter_tag') and trade.entry_tag is not None:
            enter_tag = trade.entry_tag
        entry_tags = entry_tag.split()
        max_profit = (trade.max_rate - trade.open_rate) / trade.open_rate
        max_loss = (trade.open_rate - trade.min_rate) / trade.min_rate
        # Long mode
        if all((c in ['31', '32', '33', '34', '35', '36'] for c in entry_tags)):
            exit_long, signal_name = self.exit_long_mode(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tag)
            if exit_long and signal_name is not None:
                return f'{signal_name} ( {enter_tag})'
            # Skip remaining exit logic for long mode
            return None
        # Quick exit mode
        if all((c in ['empty', '104', '105'] for c in entry_tags)):
            exit_long, signal_name = self.exit_quick_mode(current_profit, max_profit, last_candle, previous_candle_1)
            if exit_long and signal_name is not None:
                return f'{signal_name} ( {enter_tag})'
        # Original exit signals
        exit_long, signal_name = self.exit_signals(current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, enter_tag)
        if exit_long and signal_name is not None:
            return f'{signal_name} ( {enter_tag})'
        # Stoplosses
        exit_long, signal_name = self.exit_stoploss(current_profit, max_profit, max_loss, last_candle, previous_candle_1, trade, current_time)
        if exit_long and signal_name is not None:
            return f'{signal_name} ( {enter_tag})'
        # Over EMA200, main profit targets
        exit_long, signal_name = self.exit_over_main(current_profit, last_candle)
        if exit_long and signal_name is not None:
            return f'{signal_name} ( {enter_tag})'
        # Under EMA200, main profit targets
        exit_long, signal_name = self.exit_under_main(current_profit, last_candle)
        if exit_long and signal_name is not None:
            return f'{signal_name} ( {enter_tag})'
        # Williams %R based exits
        exit_long, signal_name = self.exit_r(current_profit, max_profit, max_loss, last_candle, previous_candle_1, trade, current_time)
        if exit_long and signal_name is not None:
            return f'{signal_name} ( {enter_tag})'
        # Trailing
        exit_long, signal_name = self.exit_trail(current_profit, max_profit, max_loss, last_candle, previous_candle_1, trade, current_time)
        if exit_long and signal_name is not None:
            return f'{signal_name} ( {enter_tag})'
        # The pair is descending
        exit_long, signal_name = self.exit_dec_main(current_profit, last_candle)
        if exit_long and signal_name is not None:
            return f'{signal_name} ( {enter_tag})'
        # Sell logic for pumped pairs
        exit_long, signal_name = self.exit_pump_main(current_profit, last_candle)
        if exit_long and signal_name is not None:
            return f'{signal_name} ( {enter_tag})'
        # The pair is pumped, stoploss
        exit_long, signal_name = self.exit_pump_stoploss(current_profit, max_profit, max_loss, last_candle, previous_candle_1, trade, current_time)
        if exit_long and signal_name is not None:
            return f'{signal_name} ( {enter_tag})'
        return None

    def range_percent_change(self, dataframe: DataFrame, method, length: int) -> float:
        """
        Rolling Percentage Change Maximum across interval.

        :param dataframe: DataFrame The original OHLC dataframe
        :param method: High to Low / Open to Close
        :param length: int The length to look back
        """
        if method == 'HL':
            return (dataframe['high'].rolling(length).max() - dataframe['low'].rolling(length).min()) / dataframe['low'].rolling(length).min()
        elif method == 'OC':
            return (dataframe['open'].rolling(length).max() - dataframe['close'].rolling(length).min()) / dataframe['close'].rolling(length).min()
        else:
            raise ValueError(f'Method {method} not defined!')

    def top_percent_change(self, dataframe: DataFrame, length: int) -> float:
        """
        Percentage change of the current close from the range maximum Open price

        :param dataframe: DataFrame The original OHLC dataframe
        :param length: int The length to look back
        """
        if length == 0:
            return (dataframe['open'] - dataframe['close']) / dataframe['close']
        else:
            return (dataframe['open'].rolling(length).max() - dataframe['close']) / dataframe['close']

    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 = [(pair, self.info_timeframe_1h) for pair in pairs]
        informative_pairs.extend([(pair, self.info_timeframe_1d) for pair in pairs])
        informative_pairs.extend([(pair, self.info_timeframe_15m) for pair in pairs])
        if self.config['stake_currency'] in ['USDT', 'BUSD', 'USDC', 'DAI', 'TUSD', 'PAX', 'USD', 'EUR', 'GBP']:
            btc_info_pair = f"BTC/{self.config['stake_currency']}"
        else:
            btc_info_pair = 'BTC/USDT'
        informative_pairs.append((btc_info_pair, self.timeframe))
        informative_pairs.append((btc_info_pair, self.info_timeframe_1d))
        informative_pairs.append((btc_info_pair, self.info_timeframe_1h))
        informative_pairs.append((btc_info_pair, self.info_timeframe_15m))
        return informative_pairs

    def informative_1d_indicators(self, dataframe: DataFrame, metadata: dict) -> 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=self.info_timeframe_1d)
        # Top traded coins
        if self.coin_metrics['top_traded_enabled']:
            informative_1d = informative_1d.merge(self.coin_metrics['tt_dataframe'], on='date', how='left')
            informative_1d['is_top_traded'] = informative_1d.apply(lambda row: self.is_top_coin(metadata['pair'], row, self.coin_metrics['top_traded_len']), axis=1)
            column_names = [f'Coin #{i}' for i in range(1, self.coin_metrics['top_traded_len'] + 1)]
            informative_1d.drop(columns=column_names, inplace=True)
        # Top grossing coins
        if self.coin_metrics['top_grossing_enabled']:
            informative_1d = informative_1d.merge(self.coin_metrics['tg_dataframe'], on='date', how='left')
            informative_1d['is_top_grossing'] = informative_1d.apply(lambda row: self.is_top_coin(metadata['pair'], row, self.coin_metrics['top_grossing_len']), axis=1)
            column_names = [f'Coin #{i}' for i in range(1, self.coin_metrics['top_grossing_len'] + 1)]
            informative_1d.drop(columns=column_names, inplace=True)
        # Pivots
        informative_1d['pivot'], informative_1d['res1'], informative_1d['res2'], informative_1d['res3'], informative_1d['sup1'], informative_1d['sup2'], informative_1d['sup3'] = pivot_points(informative_1d, mode='fibonacci')
        # Smoothed Heikin-Ashi
        informative_1d['open_sha'], informative_1d['close_sha'], informative_1d['low_sha'] = heikin_ashi(informative_1d, smooth_inputs=True, smooth_outputs=False, length=10)
        # S/R
        res_series = informative_1d['high'].rolling(window=5, center=True).apply(lambda row: self.is_resistance(row), raw=True).shift(2)
        sup_series = informative_1d['low'].rolling(window=5, center=True).apply(lambda row: self.is_support(row), raw=True).shift(2)
        informative_1d['res_level'] = Series(np.where(res_series, np.where(informative_1d['close'] > informative_1d['open'], informative_1d['close'], informative_1d['open']), float('NaN'))).ffill()
        informative_1d['res_hlevel'] = Series(np.where(res_series, informative_1d['high'], float('NaN'))).ffill()
        informative_1d['sup_level'] = Series(np.where(sup_series, np.where(informative_1d['close'] < informative_1d['open'], informative_1d['close'], informative_1d['open']), float('NaN'))).ffill()
        tok = time.perf_counter()
        log.debug(f"[{metadata['pair']}] informative_1d_indicators took: {tok - tik:0.4f} seconds.")
        return informative_1d

    def informative_1h_indicators(self, dataframe: DataFrame, metadata: dict) -> 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=self.info_timeframe_1h)
        # RSI
        informative_1h['rsi_14'] = ta.RSI(informative_1h, timeperiod=14)
        # EMAs
        informative_1h['ema_12'] = ta.EMA(informative_1h, timeperiod=12)
        informative_1h['ema_20'] = ta.EMA(informative_1h, timeperiod=20)
        informative_1h['ema_25'] = ta.EMA(informative_1h, timeperiod=25)
        informative_1h['ema_35'] = ta.EMA(informative_1h, timeperiod=35)
        informative_1h['ema_50'] = ta.EMA(informative_1h, timeperiod=50)
        informative_1h['ema_100'] = ta.EMA(informative_1h, timeperiod=100)
        informative_1h['ema_200'] = ta.EMA(informative_1h, timeperiod=200)
        # SMA
        informative_1h['sma_200'] = ta.SMA(informative_1h, timeperiod=200)
        informative_1h['sma_200_dec_20'] = informative_1h['sma_200'] < informative_1h['sma_200'].shift(20)
        informative_1h['sma_200_dec_24'] = informative_1h['sma_200'] < informative_1h['sma_200'].shift(24)
        # BB
        bollinger = qtpylib.bollinger_bands(qtpylib.typical_price(informative_1h), window=20, stds=2)
        informative_1h['bb20_2_low'] = bollinger['lower']
        informative_1h['bb20_2_mid'] = bollinger['mid']
        informative_1h['bb20_2_upp'] = bollinger['upper']
        informative_1h['bb_width'] = (informative_1h['bb20_2_upp'] - informative_1h['bb20_2_low']) / informative_1h['bb20_2_mid']
        # CMF
        informative_1h['cmf'] = chaikin_money_flow(informative_1h, 20)
        # CTI
        informative_1h['cti'] = pta.cti(informative_1h['close'], length=20)
        # CRSI (3, 2, 100)
        crsi_closechange = informative_1h['close'] / informative_1h['close'].shift(1)
        crsi_updown = np.where(crsi_closechange.gt(1), 1.0, np.where(crsi_closechange.lt(1), -1.0, 0.0))
        informative_1h['crsi'] = (ta.RSI(informative_1h['close'], timeperiod=3) + ta.RSI(crsi_updown, timeperiod=2) + ta.ROC(informative_1h['close'], 100)) / 3
        # Williams %R
        informative_1h['r_14'] = williams_r(informative_1h, period=14)
        informative_1h['r_480'] = williams_r(informative_1h, period=480)
        # EWO
        informative_1h['ewo'] = ewo(informative_1h, 50, 200)
        # ROC
        informative_1h['roc'] = ta.ROC(informative_1h, timeperiod=9)
        # MOMDIV
        mom = momdiv(dataframe)
        informative_1h['momdiv_entry'] = mom['momdiv_entry']
        informative_1h['momdiv_exit'] = mom['momdiv_exit']
        informative_1h['momdiv_coh'] = mom['momdiv_coh']
        informative_1h['momdiv_col'] = mom['momdiv_col']
        # S/R
        res_series = informative_1h['high'].rolling(window=5, center=True).apply(lambda row: self.is_resistance(row), raw=True).shift(2)
        sup_series = informative_1h['low'].rolling(window=5, center=True).apply(lambda row: self.is_support(row), raw=True).shift(2)
        informative_1h['res_level'] = Series(np.where(res_series, np.where(informative_1h['close'] > informative_1h['open'], informative_1h['close'], informative_1h['open']), float('NaN'))).ffill()
        informative_1h['res_hlevel'] = Series(np.where(res_series, informative_1h['high'], float('NaN'))).ffill()
        informative_1h['sup_level'] = Series(np.where(sup_series, np.where(informative_1h['close'] < informative_1h['open'], informative_1h['close'], informative_1h['open']), float('NaN'))).ffill()
        # Pump protections
        informative_1h['hl_pct_change_48'] = self.range_percent_change(informative_1h, 'HL', 48)
        informative_1h['hl_pct_change_36'] = self.range_percent_change(informative_1h, 'HL', 36)
        informative_1h['hl_pct_change_24'] = self.range_percent_change(informative_1h, 'HL', 24)
        informative_1h['hl_pct_change_12'] = self.range_percent_change(informative_1h, 'HL', 12)
        informative_1h['hl_pct_change_6'] = self.range_percent_change(informative_1h, 'HL', 6)
        tok = time.perf_counter()
        log.debug(f"[{metadata['pair']}] informative_1h_indicators took: {tok - tik:0.4f} seconds.")
        return informative_1h

    def informative_15m_indicators(self, dataframe: DataFrame, metadata: dict) -> 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=self.info_timeframe_15m)
        # RSI
        informative_15m['rsi_14'] = ta.RSI(informative_15m, timeperiod=14)
        # EMAs
        informative_15m['ema_12'] = ta.EMA(informative_15m, timeperiod=12)
        informative_15m['ema_20'] = ta.EMA(informative_15m, timeperiod=20)
        informative_15m['ema_26'] = ta.EMA(informative_15m, timeperiod=25)
        informative_15m['ema_50'] = ta.EMA(informative_15m, timeperiod=50)
        informative_15m['ema_100'] = ta.EMA(informative_15m, timeperiod=100)
        informative_15m['ema_200'] = ta.EMA(informative_15m, timeperiod=200)
        # SMA
        informative_15m['sma_200'] = ta.SMA(informative_15m, timeperiod=200)
        # BB
        bollinger = qtpylib.bollinger_bands(qtpylib.typical_price(informative_15m), window=20, stds=2)
        informative_15m['bb20_2_low'] = bollinger['lower']
        informative_15m['bb20_2_mid'] = bollinger['mid']
        informative_15m['bb20_2_upp'] = bollinger['upper']
        # BB 40 - STD2
        bb_40_std2 = qtpylib.bollinger_bands(informative_15m['close'], window=40, stds=2)
        informative_15m['bb40_2_low'] = bb_40_std2['lower']
        informative_15m['bb40_2_mid'] = bb_40_std2['mid']
        informative_15m['bb40_2_delta'] = (bb_40_std2['mid'] - informative_15m['bb40_2_low']).abs()
        informative_15m['closedelta'] = (informative_15m['close'] - informative_15m['close'].shift()).abs()
        informative_15m['tail'] = (informative_15m['close'] - informative_15m['bb40_2_low']).abs()
        # CMF
        informative_15m['cmf'] = chaikin_money_flow(informative_15m, 20)
        # CTI
        informative_15m['cti'] = pta.cti(informative_15m['close'], length=20)
        # Williams %R
        informative_15m['r_14'] = williams_r(informative_15m, period=14)
        informative_15m['r_64'] = williams_r(informative_15m, period=64)
        # EWO
        informative_15m['ewo'] = ewo(informative_15m, 50, 200)
        # CCI
        informative_15m['cci'] = ta.CCI(informative_15m, source='hlc3', timeperiod=20)
        tok = time.perf_counter()
        log.debug(f"[{metadata['pair']}] informative_1h_indicators took: {tok - tik:0.4f} seconds.")
        return informative_15m

    def normal_tf_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        tik = time.perf_counter()
        # RSI
        dataframe['rsi_4'] = ta.RSI(dataframe, timeperiod=4)
        dataframe['rsi_14'] = ta.RSI(dataframe, timeperiod=14)
        dataframe['rsi_20'] = ta.RSI(dataframe, timeperiod=20)
        # EMAs
        dataframe['ema_8'] = ta.EMA(dataframe, timeperiod=8)
        dataframe['ema_12'] = ta.EMA(dataframe, timeperiod=12)
        dataframe['ema_13'] = ta.EMA(dataframe, timeperiod=13)
        dataframe['ema_16'] = ta.EMA(dataframe, timeperiod=16)
        dataframe['ema_20'] = ta.EMA(dataframe, timeperiod=20)
        dataframe['ema_25'] = ta.EMA(dataframe, timeperiod=25)
        dataframe['ema_26'] = ta.EMA(dataframe, timeperiod=26)
        dataframe['ema_50'] = ta.EMA(dataframe, timeperiod=50)
        dataframe['ema_100'] = ta.EMA(dataframe, timeperiod=100)
        dataframe['ema_200'] = ta.EMA(dataframe, timeperiod=200)
        # SMA
        dataframe['sma_15'] = ta.SMA(dataframe, timeperiod=15)
        dataframe['sma_21'] = ta.SMA(dataframe, timeperiod=21)
        dataframe['sma_30'] = ta.SMA(dataframe, timeperiod=30)
        dataframe['sma_75'] = ta.SMA(dataframe, timeperiod=75)
        dataframe['sma_200'] = ta.SMA(dataframe, timeperiod=200)
        dataframe['sma_200_dec_20'] = dataframe['sma_200'] < dataframe['sma_200'].shift(20)
        dataframe['sma_200_dec_24'] = dataframe['sma_200'] < dataframe['sma_200'].shift(24)
        # BB 40 - STD2
        bb_40_std2 = qtpylib.bollinger_bands(dataframe['close'], window=40, stds=2)
        dataframe['bb40_2_low'] = bb_40_std2['lower']
        dataframe['bb40_2_mid'] = bb_40_std2['mid']
        dataframe['bb40_2_delta'] = (bb_40_std2['mid'] - dataframe['bb40_2_low']).abs()
        dataframe['closedelta'] = (dataframe['close'] - dataframe['close'].shift()).abs()
        dataframe['tail'] = (dataframe['close'] - dataframe['bb40_2_low']).abs()
        # BB 20 - STD2
        bb_20_std2 = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, stds=2)
        dataframe['bb20_2_low'] = bb_20_std2['lower']
        dataframe['bb20_2_mid'] = bb_20_std2['mid']
        dataframe['bb20_2_upp'] = bb_20_std2['upper']
        ## BB 20 - STD3
        bb_20_std2 = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, stds=3)
        dataframe['bb20_3_low'] = bb_20_std2['lower']
        dataframe['bb20_3_mid'] = bb_20_std2['mid']
        dataframe['bb20_3_upp'] = bb_20_std2['upper']
        # Other BB 20 checks
        dataframe['bb_width'] = (dataframe['bb20_2_upp'] - dataframe['bb20_2_low']) / dataframe['bb20_2_mid']
        dataframe['bb_delta'] = (dataframe['bb20_2_low'] - dataframe['bb20_3_low']) / dataframe['bb20_2_low']
        # CMF
        dataframe['cmf'] = chaikin_money_flow(dataframe, 20)
        # Williams %R
        dataframe['r_14'] = williams_r(dataframe, period=14)
        dataframe['r_24'] = williams_r(dataframe, period=24)
        dataframe['r_32'] = williams_r(dataframe, period=32)
        dataframe['r_64'] = williams_r(dataframe, period=64)
        dataframe['r_96'] = williams_r(dataframe, period=96)
        dataframe['r_480'] = williams_r(dataframe, period=480)
        # CTI
        dataframe['cti'] = pta.cti(dataframe['close'], length=20)
        # CRSI (3, 2, 100)
        crsi_closechange = dataframe['close'] / dataframe['close'].shift(1)
        crsi_updown = np.where(crsi_closechange.gt(1), 1.0, np.where(crsi_closechange.lt(1), -1.0, 0.0))
        dataframe['crsi'] = (ta.RSI(dataframe['close'], timeperiod=3) + ta.RSI(crsi_updown, timeperiod=2) + ta.ROC(dataframe['close'], 100)) / 3
        # EMA of VWMA Oscillator
        dataframe['ema_vwma_osc_32'] = ema_vwma_osc(dataframe, 32)
        dataframe['ema_vwma_osc_64'] = ema_vwma_osc(dataframe, 64)
        dataframe['ema_vwma_osc_96'] = ema_vwma_osc(dataframe, 96)
        # EWO
        dataframe['ewo'] = ewo(dataframe, 50, 200)
        # RMI
        dataframe['rmi_17'] = RMI(dataframe, length=17, mom=4)
        # CCI
        dataframe['cci'] = ta.CCI(dataframe, source='hlc3', timeperiod=20)
        dataframe['cci_25'] = ta.CCI(dataframe, timeperiod=25)
        # SRSI
        stoch = ta.STOCHRSI(dataframe, 15, 20, 2, 2)
        dataframe['srsi_fk'] = stoch['fastk']
        dataframe['srsi_fd'] = stoch['fastd']
        # MFI
        dataframe['mfi'] = ta.MFI(dataframe)
        # ATR
        dataframe['atr'] = ta.ATR(dataframe, timeperiod=14)
        dataframe['atr_high_thresh_1'] = dataframe['high'] - dataframe['atr'] * 3.4
        dataframe['atr_high_thresh_2'] = dataframe['high'] - dataframe['atr'] * 3.2
        dataframe['atr_high_thresh_3'] = dataframe['high'] - dataframe['atr'] * 3.0
        dataframe['atr_high_thresh_4'] = dataframe['high'] - dataframe['atr'] * 2.0
        # For exit checks
        dataframe['crossed_below_ema_12_26'] = qtpylib.crossed_below(dataframe['ema_12'], dataframe['ema_26'])
        # Volume
        dataframe['vma_10'] = ta.SMA(dataframe['volume'], timeperiod=10)
        dataframe['vma_20'] = ta.SMA(dataframe['volume'], timeperiod=20)
        dataframe['vol_osc'] = (dataframe['vma_10'] - dataframe['vma_20']) / dataframe['vma_20'] * 100
        dataframe['volume_mean_4'] = dataframe['volume'].rolling(4).mean().shift(1)
        # Heiken Ashi
        heikinashi = qtpylib.heikinashi(dataframe)
        # Profit Maximizer - PMAX
        dataframe['pm'], dataframe['pmx'] = pmax(heikinashi, MAtype=1, length=9, multiplier=27, period=10, src=3)
        dataframe['source'] = (dataframe['high'] + dataframe['low'] + dataframe['open'] + dataframe['close']) / 4
        dataframe['pmax_thresh'] = ta.EMA(dataframe['source'], timeperiod=9)
        # MOMDIV
        mom = momdiv(dataframe)
        dataframe['momdiv_entry'] = mom['momdiv_entry']
        dataframe['momdiv_exit'] = mom['momdiv_exit']
        dataframe['momdiv_coh'] = mom['momdiv_coh']
        dataframe['momdiv_col'] = mom['momdiv_col']
        # Dip protection
        dataframe['tpct_change_0'] = self.top_percent_change(dataframe, 0)
        dataframe['tpct_change_2'] = self.top_percent_change(dataframe, 2)
        dataframe['tpct_change_12'] = self.top_percent_change(dataframe, 12)
        dataframe['tpct_change_144'] = self.top_percent_change(dataframe, 144)
        if not self.config['runmode'].value in ('live', 'dry_run'):
            # Backtest age filter
            dataframe['bt_agefilter_ok'] = False
            dataframe.loc[dataframe.index > 12 * 24 * self.bt_min_age_days, 'bt_agefilter_ok'] = True
        else:
            # Exchange downtime protection
            dataframe['live_data_ok'] = dataframe['volume'].rolling(window=72, min_periods=72).min() > 0
        tok = time.perf_counter()
        log.debug(f"[{metadata['pair']}] normal_tf_indicators took: {tok - tik:0.4f} seconds.")
        return dataframe

    def resampled_tf_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        # Indicators
        # -----------------------------------------------------------------------------------------
        dataframe['rsi_14'] = ta.RSI(dataframe, timeperiod=14)
        return dataframe

    def base_tf_btc_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        tik = time.perf_counter()
        # Indicators
        # -----------------------------------------------------------------------------------------
        dataframe['rsi_14'] = ta.RSI(dataframe, timeperiod=14)
        # Add prefix
        # -----------------------------------------------------------------------------------------
        ignore_columns = ['date', 'open', 'high', 'low', 'close', 'volume']
        dataframe.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']}] base_tf_btc_indicators took: {tok - tik:0.4f} seconds.")
        return dataframe

    def info_tf_btc_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        tik = time.perf_counter()
        # Indicators
        # -----------------------------------------------------------------------------------------
        dataframe['rsi_14'] = ta.RSI(dataframe, timeperiod=14)
        dataframe['not_downtrend'] = (dataframe['close'] > dataframe['close'].shift(2)) | (dataframe['rsi_14'] > 50)
        # Add prefix
        # -----------------------------------------------------------------------------------------
        ignore_columns = ['date', 'open', 'high', 'low', 'close', 'volume']
        dataframe.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']}] info_tf_btc_indicators took: {tok - tik:0.4f} seconds.")
        return dataframe

    def daily_tf_btc_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        tik = time.perf_counter()
        # Indicators
        # -----------------------------------------------------------------------------------------
        dataframe['pivot'], dataframe['res1'], dataframe['res2'], dataframe['res3'], dataframe['sup1'], dataframe['sup2'], dataframe['sup3'] = pivot_points(dataframe, mode='fibonacci')
        # Add prefix
        # -----------------------------------------------------------------------------------------
        ignore_columns = ['date', 'open', 'high', 'low', 'close', 'volume']
        dataframe.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']}] daily_tf_btc_indicators took: {tok - tik:0.4f} seconds.")
        return dataframe

    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        tik = time.perf_counter()
        '\n        --> BTC informative (5m/1h)\n        ___________________________________________________________________________________________\n        '
        if self.config['stake_currency'] in ['USDT', 'BUSD', 'USDC', 'DAI', 'TUSD', 'PAX', 'USD', 'EUR', 'GBP']:
            btc_info_pair = f"BTC/{self.config['stake_currency']}"
        else:
            btc_info_pair = 'BTC/USDT'
        if self.has_BTC_daily_tf:
            btc_daily_tf = self.dp.get_pair_dataframe(btc_info_pair, '1d')
            btc_daily_tf = self.daily_tf_btc_indicators(btc_daily_tf, metadata)
            dataframe = merge_informative_pair(dataframe, btc_daily_tf, self.timeframe, '1d', ffill=True)
            drop_columns = [f'{s}_1d' for s in ['date', 'open', 'high', 'low', 'close', 'volume']]
            dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True)
        if self.has_BTC_info_tf:
            btc_info_tf = self.dp.get_pair_dataframe(btc_info_pair, self.info_timeframe_1h)
            btc_info_tf = self.info_tf_btc_indicators(btc_info_tf, metadata)
            dataframe = merge_informative_pair(dataframe, btc_info_tf, self.timeframe, self.info_timeframe_1h, ffill=True)
            drop_columns = [f'{s}_{self.info_timeframe_1h}' for s in ['date', 'open', 'high', 'low', 'close', 'volume']]
            dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True)
        if self.has_BTC_base_tf:
            btc_base_tf = self.dp.get_pair_dataframe(btc_info_pair, self.timeframe)
            btc_base_tf = self.base_tf_btc_indicators(btc_base_tf, metadata)
            dataframe = merge_informative_pair(dataframe, btc_base_tf, self.timeframe, self.timeframe, ffill=True)
            drop_columns = [f'{s}_{self.timeframe}' for s in ['date', 'open', 'high', 'low', 'close', 'volume']]
            dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True)
        '\n        --> Informative timeframe\n        ___________________________________________________________________________________________\n        '
        if self.info_timeframe_1d != 'none':
            informative_1d = self.informative_1d_indicators(dataframe, metadata)
            dataframe = merge_informative_pair(dataframe, informative_1d, self.timeframe, self.info_timeframe_1d, ffill=True)
            drop_columns = [f'{s}_{self.info_timeframe_1d}' for s in ['date', 'open', 'high', 'low', 'close', 'volume']]
            dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True)
        if self.info_timeframe_1h != 'none':
            informative_1h = self.informative_1h_indicators(dataframe, metadata)
            dataframe = merge_informative_pair(dataframe, informative_1h, self.timeframe, self.info_timeframe_1h, ffill=True)
            drop_columns = [f'{s}_{self.info_timeframe_1h}' for s in ['date']]
            dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True)
        if self.info_timeframe_15m != 'none':
            informative_15m = self.informative_15m_indicators(dataframe, metadata)
            dataframe = merge_informative_pair(dataframe, informative_15m, self.timeframe, self.info_timeframe_15m, ffill=True)
            drop_columns = [f'{s}_{self.info_timeframe_15m}' for s in ['date']]
            dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True)
        '\n        --> Resampled to another timeframe\n        ___________________________________________________________________________________________\n        '
        if self.res_timeframe != 'none':
            resampled = resample_to_interval(dataframe, timeframe_to_minutes(self.res_timeframe))
            resampled = self.resampled_tf_indicators(resampled, metadata)
            # Merge resampled info dataframe
            dataframe = resampled_merge(dataframe, resampled, fill_na=True)
            dataframe.rename(columns=lambda s: f'{s}_{self.res_timeframe}' if 'resample_' in s else s, inplace=True)
            dataframe.rename(columns=lambda s: s.replace('resample_{}_'.format(self.res_timeframe.replace('m', '')), ''), inplace=True)
            drop_columns = [f'{s}_{self.res_timeframe}' for s in ['date']]
            dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True)
        '\n        --> The indicators for the normal (5m) timeframe\n        ___________________________________________________________________________________________\n        '
        dataframe = self.normal_tf_indicators(dataframe, metadata)
        tok = time.perf_counter()
        log.debug(f"[{metadata['pair']}] Populate indicators took a total of: {tok - tik:0.4f} seconds.")
        return dataframe

    def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        conditions = []
        dataframe.loc[:, 'enter_tag'] = ''
        for index in self.entry_protection_params:
            item_entry_protection_list = [True]
            global_entry_protection_params = self.entry_protection_params[index]
            if self.entry_params[f'entry_condition_{index}_enable']:
                # Standard protections - Common to every condition
                # -----------------------------------------------------------------------------------------
                if global_entry_protection_params['ema_fast']:
                    item_entry_protection_list.append(dataframe[f"ema_{global_entry_protection_params['ema_fast_len']}"] > dataframe['ema_200'])
                if global_entry_protection_params['ema_slow']:
                    item_entry_protection_list.append(dataframe[f"ema_{global_entry_protection_params['ema_slow_len']}_1h"] > dataframe['ema_200_1h'])
                if global_entry_protection_params['close_above_ema_fast']:
                    item_entry_protection_list.append(dataframe['close'] > dataframe[f"ema_{global_entry_protection_params['close_above_ema_fast_len']}"])
                if global_entry_protection_params['close_above_ema_slow']:
                    item_entry_protection_list.append(dataframe['close'] > dataframe[f"ema_{global_entry_protection_params['close_above_ema_slow_len']}_1h"])
                if global_entry_protection_params['sma200_rising']:
                    item_entry_protection_list.append(dataframe['sma_200'] > dataframe['sma_200'].shift(int(global_entry_protection_params['sma200_rising_val'])))
                if global_entry_protection_params['sma200_1h_rising']:
                    item_entry_protection_list.append(dataframe['sma_200_1h'] > dataframe['sma_200_1h'].shift(int(global_entry_protection_params['sma200_1h_rising_val'])))
                if global_entry_protection_params['safe_dips_threshold_0'] is not None:
                    item_entry_protection_list.append(dataframe['tpct_change_0'] < global_entry_protection_params['safe_dips_threshold_0'])
                if global_entry_protection_params['safe_dips_threshold_2'] is not None:
                    item_entry_protection_list.append(dataframe['tpct_change_2'] < global_entry_protection_params['safe_dips_threshold_2'])
                if global_entry_protection_params['safe_dips_threshold_12'] is not None:
                    item_entry_protection_list.append(dataframe['tpct_change_12'] < global_entry_protection_params['safe_dips_threshold_12'])
                if global_entry_protection_params['safe_dips_threshold_144'] is not None:
                    item_entry_protection_list.append(dataframe['tpct_change_144'] < global_entry_protection_params['safe_dips_threshold_144'])
                if global_entry_protection_params['safe_pump_6h_threshold'] is not None:
                    item_entry_protection_list.append(dataframe['hl_pct_change_6_1h'] < global_entry_protection_params['safe_pump_6h_threshold'])
                if global_entry_protection_params['safe_pump_12h_threshold'] is not None:
                    item_entry_protection_list.append(dataframe['hl_pct_change_12_1h'] < global_entry_protection_params['safe_pump_12h_threshold'])
                if global_entry_protection_params['safe_pump_24h_threshold'] is not None:
                    item_entry_protection_list.append(dataframe['hl_pct_change_24_1h'] < global_entry_protection_params['safe_pump_24h_threshold'])
                if global_entry_protection_params['safe_pump_36h_threshold'] is not None:
                    item_entry_protection_list.append(dataframe['hl_pct_change_36_1h'] < global_entry_protection_params['safe_pump_36h_threshold'])
                if global_entry_protection_params['safe_pump_48h_threshold'] is not None:
                    item_entry_protection_list.append(dataframe['hl_pct_change_48_1h'] < global_entry_protection_params['safe_pump_48h_threshold'])
                if global_entry_protection_params['btc_1h_not_downtrend']:
                    item_entry_protection_list.append(dataframe['btc_not_downtrend_1h'])
                if global_entry_protection_params['close_over_pivot_type'] != 'none':
                    item_entry_protection_list.append(dataframe['close'] > dataframe[f"{global_entry_protection_params['close_over_pivot_type']}_1d"] * global_entry_protection_params['close_over_pivot_offset'])
                if global_entry_protection_params['close_under_pivot_type'] != 'none':
                    item_entry_protection_list.append(dataframe['close'] < dataframe[f"{global_entry_protection_params['close_under_pivot_type']}_1d"] * global_entry_protection_params['close_under_pivot_offset'])
                if not self.config['runmode'].value in ('live', 'dry_run'):
                    if self.has_bt_agefilter:
                        item_entry_protection_list.append(dataframe['bt_agefilter_ok'])
                elif self.has_downtime_protection:
                    item_entry_protection_list.append(dataframe['live_data_ok'])
                # Buy conditions
                # -----------------------------------------------------------------------------------------
                item_entry_logic = []
                item_entry_logic.append(reduce(lambda x, y: x & y, item_entry_protection_list))
                # Condition #1 - Semi swing mode. Increase in the last candles & relative local dip.
                if index == 1:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append((dataframe['close'] - dataframe['open'].rolling(12).min()) / dataframe['open'].rolling(12).min() > 0.032)
                    item_entry_logic.append(dataframe['rsi_14'] < 36.0)
                    item_entry_logic.append(dataframe['r_14'] < -75.0)
                    item_entry_logic.append(dataframe['r_32'] < -75.0)
                    item_entry_logic.append(dataframe['mfi'] < 46.0)
                    item_entry_logic.append(dataframe['rsi_14_1h'] > 30.0)
                    item_entry_logic.append(dataframe['rsi_14_1h'] < 84.0)
                    item_entry_logic.append(dataframe['r_480_1h'] > -99.0)
                # Condition #2 - Semi swing. Local dip.
                elif index == 2:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['rsi_14'] < dataframe['rsi_14_1h'] - 47.5)
                    item_entry_logic.append(dataframe['mfi'] < 46.0)
                    item_entry_logic.append(dataframe['cti'] < -0.8)
                    item_entry_logic.append(dataframe['r_14'] < -99.0)
                    item_entry_logic.append(dataframe['r_480'] > -95.0)
                    item_entry_logic.append(dataframe['r_480'] < -20.0)
                    item_entry_logic.append(dataframe['cti_1h'] < 0.88)
                # Condition #3 - Semi swing. Local dip.
                elif index == 3:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['bb40_2_low'].shift().gt(0))
                    item_entry_logic.append(dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.045))
                    item_entry_logic.append(dataframe['closedelta'].gt(dataframe['close'] * 0.02))
                    item_entry_logic.append(dataframe['tail'].lt(dataframe['bb40_2_delta'] * 0.24))
                    item_entry_logic.append(dataframe['close'].lt(dataframe['bb40_2_low'].shift()))
                    item_entry_logic.append(dataframe['close'].le(dataframe['close'].shift()))
                    item_entry_logic.append(dataframe['cti'] < -0.5)
                    item_entry_logic.append(dataframe['r_14'] < -90.0)
                    item_entry_logic.append(dataframe['r_96'] < -80.0)
                    item_entry_logic.append(dataframe['cti_1h'] < -0.75)
                    item_entry_logic.append(dataframe['r_480_1h'] < -30.0)
                # Condition #4 - Semi swing. Local dip.
                elif index == 4:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['ema_26'] > dataframe['ema_12'])
                    item_entry_logic.append(dataframe['ema_26'] - dataframe['ema_12'] > dataframe['open'] * 0.02)
                    item_entry_logic.append(dataframe['ema_26'].shift() - dataframe['ema_12'].shift() > dataframe['open'] / 100)
                    item_entry_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * 0.992)
                    item_entry_logic.append(dataframe['rsi_14'] > 30.0)
                    item_entry_logic.append(dataframe['mfi'] > 25.0)
                    item_entry_logic.append(dataframe['crsi_1h'] > 14.0)
                # Condition #5 - Semi swing. Local dip. Uptrend.
                elif index == 5:
                    # Non-Standard protections
                    item_entry_logic.append(dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(12))
                    item_entry_logic.append(dataframe['ema_200_1h'].shift(12) > dataframe['ema_200_1h'].shift(24))
                    # Logic
                    item_entry_logic.append(dataframe['close'] < dataframe['sma_75'] * 0.942)
                    item_entry_logic.append(dataframe['ewo'] > 3.8)
                    item_entry_logic.append(dataframe['cti'] < -0.9)
                    item_entry_logic.append(dataframe['cci'] < -120.0)
                    item_entry_logic.append(dataframe['r_14'] < -97.0)
                # Condition #6 - Semi swing. Local dip.
                elif index == 6:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['close'] < dataframe['sma_15'] * 0.937)
                    item_entry_logic.append(dataframe['crsi'] < 30.0)
                    item_entry_logic.append(dataframe['rsi_14'] < dataframe['rsi_14'].shift(1))
                    item_entry_logic.append(dataframe['rsi_14'] < 28.0)
                    item_entry_logic.append(dataframe['cti'] < -0.82)
                    item_entry_logic.append(dataframe['cci'] < -200.0)
                # Condition #7 - Semi swing. Local dip.
                elif index == 7:
                    # Non-Standard protections
                    item_entry_logic.append(dataframe['ema_50_1h'] > dataframe['ema_100_1h'])
                    # Logic
                    item_entry_logic.append(dataframe['close'] < dataframe['sma_30'] * 0.94)
                    item_entry_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * 0.984)
                    item_entry_logic.append(dataframe['cti'] < -0.8)
                    item_entry_logic.append(dataframe['r_14'] < -97.0)
                    item_entry_logic.append(dataframe['crsi'] > 8.0)
                    item_entry_logic.append(dataframe['cti_1h'] > -0.5)
                    item_entry_logic.append(dataframe['cti_1h'] < 0.85)
                # Condition #8 - Semi swing. Local deeper dip. Uptrend.
                elif index == 8:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['close'] < dataframe['sma_30'] * 0.927)
                    item_entry_logic.append(dataframe['ewo'] > 3.0)
                    item_entry_logic.append(dataframe['rsi_14'] < 32.0)
                    item_entry_logic.append(dataframe['cti'] < -0.9)
                    item_entry_logic.append(dataframe['r_14'] < -97.0)
                # Condition #9 - Semi swing. Local dip. Downtrend.
                elif index == 9:
                    # Non-Standard protections
                    item_entry_logic.append(dataframe['ema_50_1h'] > dataframe['ema_100_1h'])
                    # Logic
                    item_entry_logic.append(dataframe['close'] < dataframe['sma_30'] * 0.99)
                    item_entry_logic.append(dataframe['cti'] < -0.92)
                    item_entry_logic.append(dataframe['ewo'] < -5.0)
                    item_entry_logic.append(dataframe['cti_1h'] < -0.88)
                    item_entry_logic.append(dataframe['crsi_1h'] > 20.0)
                # Condition #10 - Semi swing. Local dip.
                elif index == 10:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['ema_26'] > dataframe['ema_12'])
                    item_entry_logic.append(dataframe['ema_26'] - dataframe['ema_12'] > dataframe['open'] * 0.017)
                    item_entry_logic.append(dataframe['ema_26'].shift() - dataframe['ema_12'].shift() > dataframe['open'] / 100)
                    item_entry_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * 0.984)
                    item_entry_logic.append(dataframe['close'] < dataframe['ema_20'] * 0.965)
                    item_entry_logic.append(dataframe['cti'] < -0.85)
                # Condition #11 - Semi swing. Local dip.
                elif index == 11:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['ema_26'] > dataframe['ema_12'])
                    item_entry_logic.append(dataframe['ema_26'] - dataframe['ema_12'] > dataframe['open'] * 0.024)
                    item_entry_logic.append(dataframe['ema_26'].shift() - dataframe['ema_12'].shift() > dataframe['open'] / 100)
                    item_entry_logic.append(dataframe['close'] < dataframe['ema_20'] * 0.938)  # 0.958 0.938
                    item_entry_logic.append(dataframe['rsi_14'] < 20.0)  # 28.0 20.0
                    item_entry_logic.append(dataframe['crsi_1h'] > 14.0)
                # Condition #12 - Semi swing. Local deeper dip. Uptrend.
                elif index == 12:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['close'] < dataframe['ema_20'] * 0.935)
                    item_entry_logic.append(dataframe['ewo'] > 2.0)
                    item_entry_logic.append(dataframe['rsi_14'] < 36.0)
                    item_entry_logic.append(dataframe['cti'] < -0.9)
                    item_entry_logic.append(dataframe['r_480_1h'] < -20.0)
                # Condition #13 - Semi swing. Downtrend. Local dip.
                elif index == 13:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['close'] < dataframe['ema_20'] * 0.999)
                    item_entry_logic.append(dataframe['ewo'] < -5.7)
                    item_entry_logic.append(dataframe['cti'] < -0.97)
                    item_entry_logic.append(dataframe['crsi_1h'] > 12.0)
                # Condition #14 - Semi swing. Strong uptrend. Local dip.
                elif index == 14:
                    # Non-Standard protections
                    item_entry_logic.append(dataframe['ema_100_1h'] > dataframe['ema_100_1h'].shift(12))
                    item_entry_logic.append(dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(36))
                    # Logic
                    item_entry_logic.append(dataframe['close'] < dataframe['sma_30'] * 0.98)
                    item_entry_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * 0.984)
                    item_entry_logic.append(dataframe['ewo'] > 7.8)  # 4.0 7.8
                    item_entry_logic.append(dataframe['rsi_14'] < 32.0)  # 36.0
                    item_entry_logic.append(dataframe['cti'] < -0.54)
                    item_entry_logic.append(dataframe['cti_1h'] > -0.5)
                # Condition #15 - Semi swing. Uptrend. Local dip.
                elif index == 15:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * 0.986)
                    item_entry_logic.append(dataframe['ewo'] > 2.0)
                    item_entry_logic.append(dataframe['rsi_14'] < 28.5)
                    item_entry_logic.append(dataframe['cti'] < -0.75)
                    item_entry_logic.append(dataframe['rsi_14_1h'] < 80.0)
                    item_entry_logic.append(dataframe['cti_1h'] < 0.6)
                # Condition #16 - Semi swing. Cross above.
                elif index == 16:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['ema_12_1h'].shift(12) < dataframe['ema_35_1h'].shift(12))
                    item_entry_logic.append(dataframe['ema_12_1h'] > dataframe['ema_35_1h'])
                    item_entry_logic.append(dataframe['cmf_1h'].shift(12) < 0.0)
                    item_entry_logic.append(dataframe['cmf_1h'] > 0.0)
                    item_entry_logic.append(dataframe['rsi_14'] < 50.0)
                    item_entry_logic.append(dataframe['cti'] < 0.5)
                    item_entry_logic.append(dataframe['rsi_14_1h'] > 70.0)
                # Condition #17 - Semi swing. Deep entry.
                elif index == 17:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['r_480'] < -99.0)
                    item_entry_logic.append(dataframe['r_14'] == -100.0)
                    item_entry_logic.append(dataframe['r_480_1h'] < -95.0)
                    item_entry_logic.append(dataframe['rsi_14_1h'] + dataframe['rsi_14'] < 40.0)
                # Condition #18 - Semi swing. Local dip. BTC not negative.
                elif index == 18:
                    # Non-Standard protections (add below)
                    # Logic
                    item_entry_logic.append(dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(12))
                    item_entry_logic.append(dataframe['ema_200_1h'].shift(12) > dataframe['ema_200_1h'].shift(24))
                    item_entry_logic.append(dataframe['ema_26'] > dataframe['ema_12'])
                    item_entry_logic.append(dataframe['ema_26'] - dataframe['ema_12'] > dataframe['open'] * 0.018)
                    item_entry_logic.append(dataframe['ema_26'].shift() - dataframe['ema_12'].shift() > dataframe['open'] / 100)
                    item_entry_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * 0.982)
                    item_entry_logic.append(dataframe['cti_1h'] > -0.5)
                # Condition #19 - Semi swing. Uptrend. Local dip.  BTC not downtrend.
                elif index == 19:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(12))
                    item_entry_logic.append(dataframe['ema_200_1h'].shift(12) > dataframe['ema_200_1h'].shift(24))
                    item_entry_logic.append(dataframe['bb40_2_low'].shift().gt(0))
                    item_entry_logic.append(dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.045))
                    item_entry_logic.append(dataframe['closedelta'].gt(dataframe['close'] * 0.02))
                    item_entry_logic.append(dataframe['tail'].lt(dataframe['bb40_2_delta'] * 0.28))
                    item_entry_logic.append(dataframe['close'].lt(dataframe['bb40_2_low'].shift()))
                    item_entry_logic.append(dataframe['close'].le(dataframe['close'].shift()))
                    item_entry_logic.append(dataframe['cti'] < -0.9)
                    item_entry_logic.append(dataframe['cti_1h'] > -0.75)
                    item_entry_logic.append(dataframe['cti_1h'] < 0.25)
                # Condition #20 - Semi swing. Uptrend. Local dip.
                elif index == 20:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['close'].shift(1) < dataframe['sma_15'].shift(1) * 0.942)
                    item_entry_logic.append(dataframe['close'] > dataframe['open'].shift(1))
                    item_entry_logic.append(dataframe['ewo'] > 4.8)
                    item_entry_logic.append(dataframe['cti'] < -0.9)
                    item_entry_logic.append(dataframe['r_14'].shift(1) < -97.0)
                # Condition #21 - Semi swing. Deep local dip. Mild uptrend.
                elif index == 21:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['close'] < dataframe['ema_20'] * 0.942)
                    item_entry_logic.append(dataframe['ewo'] > 2.0)
                    item_entry_logic.append(dataframe['cti'] < -0.9)
                    item_entry_logic.append(dataframe['r_14'] < -97.0)
                    item_entry_logic.append(dataframe['r_96'] < -85.0)
                # Condition #22 - Swing. Uptrend. Bounce from daily support level
                elif index == 22:
                    # Non-Standard protections
                    item_entry_logic.append(dataframe['close_1h'] > dataframe['sup_level_1d'])
                    item_entry_logic.append(dataframe['close_1h'] < dataframe['sup_level_1d'] * 1.05)
                    item_entry_logic.append(dataframe['low_1h'] < dataframe['sup_level_1d'] * 0.99)
                    item_entry_logic.append(dataframe['close_1h'] < dataframe['res_level_1h'])
                    item_entry_logic.append(dataframe['res_level_1d'] > dataframe['sup_level_1d'])
                    item_entry_logic.append(dataframe['rsi_14'] < 40.0)
                    item_entry_logic.append(dataframe['rsi_14_1h'] > 48.0)
                    # Confirm uptrend - Heikin-Ashi
                    item_entry_logic.append(dataframe['open_sha_1d'] < dataframe['close_sha_1d'])
                    item_entry_logic.append(dataframe['open_sha_1d'].shift(288) < dataframe['close_sha_1d'].shift(288))
                    item_entry_logic.append(dataframe['pivot_1d'] > dataframe['pivot_1d'].shift(288) * 0.95)
                # Condition #23 - Semi swing. Downtrend. Local dip.
                elif index == 23:
                    # Non-Standard protections (add below)
                    # Logic
                    item_entry_logic.append(dataframe['ewo'].shift(1) < -6.4)
                    item_entry_logic.append(dataframe['cti'].shift(1).rolling(5).max() < -0.9)
                    item_entry_logic.append(dataframe['r_14'].shift(1) < -97.0)
                    item_entry_logic.append(dataframe['close'] > dataframe['open'].shift(1))
                    item_entry_logic.append(dataframe['crsi_1h'] > 2.0)
                # Condition #24 - Semi swing. Uptrend. 1h uptrend. Local dip.
                elif index == 24:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['ewo'] > 4.8)
                    item_entry_logic.append(dataframe['r_14'] < -97.0)
                    item_entry_logic.append(dataframe['r_96'] < -97.0)
                    item_entry_logic.append(dataframe['ewo_1h'] > 2.8)
                    item_entry_logic.append(dataframe['cti_1h'] < 0.92)
                # Condition #25 - Semi swing. CMF 1h cross.
                elif index == 25:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['ema_12_1h'].shift(12) < dataframe['ema_35_1h'].shift(12))
                    item_entry_logic.append(dataframe['ema_12_1h'] > dataframe['ema_35_1h'])
                    item_entry_logic.append(dataframe['cmf_1h'].shift(12) < 0.0)
                    item_entry_logic.append(dataframe['cmf_1h'] > 0.0)
                    item_entry_logic.append(dataframe['rsi_14'] < 48.0)
                    item_entry_logic.append(dataframe['rsi_14_1h'] > 66.9)
                # Condition #26 - (nfi 32)
                elif index == 26:
                    # Non-Standard protections
                    item_entry_logic.append(dataframe['ema_20_1h'] > dataframe['ema_25_1h'])
                    # Logic
                    item_entry_logic.append(dataframe['rsi_20'] < dataframe['rsi_20'].shift(1))
                    item_entry_logic.append(dataframe['rsi_4'] < 46)
                    item_entry_logic.append(dataframe['close'] < dataframe['sma_15'] * 0.93)
                    item_entry_logic.append(dataframe['rsi_14'] > 19.0)
                    item_entry_logic.append(dataframe['cti'] < -0.86)
                # Condition #27 - Semi swing. Local deep. Uptrend.
                elif index == 27:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['close'] < dataframe['sma_75'] * 0.934)  # 0.984
                    item_entry_logic.append(dataframe['ewo'] > 6.4)
                    item_entry_logic.append(dataframe['rsi_14'] < 32.0)
                    item_entry_logic.append(dataframe['cti'] < -0.8)
                    item_entry_logic.append(dataframe['r_14'] < -95.0)
                # Condition #28 - Semi swing. Downtrend. Local deep.
                elif index == 28:
                    # Non-Standard protections (add below)
                    # Logic
                    item_entry_logic.append(dataframe['close'] < dataframe['sma_75'] * 0.96)
                    item_entry_logic.append(dataframe['ewo'] < -8.0)
                    item_entry_logic.append(dataframe['cti'] < -0.9)
                    item_entry_logic.append(dataframe['r_14'] < -97.0)
                    item_entry_logic.append(dataframe['crsi_1h'] > 14.0)
                # Condition #29 - Semi swing. Downtrend. Local deep.
                elif index == 29:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['close'] < dataframe['ema_16'] * 0.982)
                    item_entry_logic.append(dataframe['ewo'] < -16.0)
                    item_entry_logic.append(dataframe['cti'] < -0.75)
                # Condition #30 - Semi swing. Local dip. BTC not downtrend.
                elif index == 30:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['ema_26'] > dataframe['ema_12'])
                    item_entry_logic.append(dataframe['ema_26'] - dataframe['ema_12'] > dataframe['open'] * 0.02)
                    item_entry_logic.append(dataframe['ema_26'].shift() - dataframe['ema_12'].shift() > dataframe['open'] / 100)
                    item_entry_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * 0.98)
                # Condition #31 - Long mode. Local dip.
                elif index == 31:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['bb40_2_low'].shift().gt(0))
                    item_entry_logic.append(dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.045))
                    item_entry_logic.append(dataframe['closedelta'].gt(dataframe['close'] * 0.028))
                    item_entry_logic.append(dataframe['tail'].lt(dataframe['bb40_2_delta'] * 0.25))
                    item_entry_logic.append(dataframe['close'].lt(dataframe['bb40_2_low'].shift()))
                    item_entry_logic.append(dataframe['close'].le(dataframe['close'].shift()))
                    item_entry_logic.append(dataframe['cti'] < -0.9)
                    item_entry_logic.append(dataframe['crsi_1h'] > 10.0)
                # Condition #32 - Long mode. Local dip.
                elif index == 32:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['ema_26'] > dataframe['ema_12'])
                    item_entry_logic.append(dataframe['ema_26'] - dataframe['ema_12'] > dataframe['open'] * 0.046)
                    item_entry_logic.append(dataframe['ema_26'].shift() - dataframe['ema_12'].shift() > dataframe['open'] / 100)
                    item_entry_logic.append(dataframe['cti'] < -0.9)
                    item_entry_logic.append(dataframe['r_480_1h'] < -5.0)
                # Condition #33 - Long mode. Local dip. Uptrend.
                elif index == 33:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['close'] < dataframe['ema_16'] * 0.942)
                    item_entry_logic.append(dataframe['ewo'] > 2.5)
                    item_entry_logic.append(dataframe['rsi_14'] < 46.0)
                    item_entry_logic.append(dataframe['r_14'] < -97.0)
                    item_entry_logic.append(dataframe['ewo_1h'] > 0.1)
                # Condition #34 - Long mode. Local dip.
                elif index == 34:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['close'] < dataframe['ema_50'])
                    item_entry_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * 0.972)
                    item_entry_logic.append(dataframe['cti'] < -0.8)
                    item_entry_logic.append(dataframe['rsi_14'] < 18.0)
                ### BB_RPB backport
                # ewo2 (need more protection)
                elif index == 101:
                    # Non-Standard protections
                    item_entry_logic.append(dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(12))
                    item_entry_logic.append(dataframe['ema_200_1h'].shift(12) > dataframe['ema_200_1h'].shift(24))
                    item_entry_logic.append(dataframe['roc_1h'] < 86)
                    item_entry_logic.append(dataframe['bb_width_1h'] < 0.954)
                    # Logic
                    item_entry_logic.append(dataframe['rsi_4'] < 45)
                    item_entry_logic.append(dataframe['close'] < dataframe['ema_8'] * 0.97)
                    item_entry_logic.append(dataframe['ewo'] > 4.179)
                    item_entry_logic.append(dataframe['close'] < dataframe['ema_16'] * 1.087)
                    item_entry_logic.append(dataframe['rsi_14'] < 35)
                # ewo
                elif index == 102:
                    # Non-Standard protections
                    item_entry_logic.append(dataframe['roc_1h'] < 86)
                    item_entry_logic.append(dataframe['bb_width_1h'] < 0.954)
                    # Logic
                    item_entry_logic.append(dataframe['rsi_4'] < 44)
                    item_entry_logic.append(dataframe['close'] < dataframe['ema_8'] * 0.935)
                    item_entry_logic.append(dataframe['ewo'] > -5.0)
                    item_entry_logic.append(dataframe['close'] < dataframe['ema_16'] * 0.968)
                    item_entry_logic.append(dataframe['rsi_14'] < 23)
                # BB safe dump
                elif index == 103:
                    # Logic
                    item_entry_logic.append(dataframe['rmi_17'] < 49)
                    item_entry_logic.append(dataframe['cci_25'] <= -116)
                    item_entry_logic.append(dataframe['srsi_fk'] < 32)
                    item_entry_logic.append(dataframe['bb_delta'] > 0.025)
                    item_entry_logic.append(dataframe['bb_width'] > 0.095)
                    item_entry_logic.append(dataframe['closedelta'] > dataframe['close'] * 12.148 / 1000)
                    item_entry_logic.append(dataframe['close'] < dataframe['bb20_3_low'] * 0.999)
                # NFI 33
                elif index == 104:
                    # Logic
                    item_entry_logic.append(dataframe['close'] < dataframe['ema_13'] * 0.978)
                    item_entry_logic.append(dataframe['ewo'] > 8)
                    item_entry_logic.append(dataframe['cti'] < -0.88)
                    item_entry_logic.append(dataframe['rsi_14'] < 32)
                    item_entry_logic.append(dataframe['r_14'] < -98.0)
                    item_entry_logic.append(dataframe['volume'] < dataframe['volume_mean_4'] * 2.5)
                # NFI 38
                elif index == 105:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['pm'] > dataframe['pmax_thresh'])
                    item_entry_logic.append(dataframe['close'] < dataframe['sma_75'] * 0.98)
                    item_entry_logic.append(dataframe['ewo'] < -4.4)
                    item_entry_logic.append(dataframe['cti'] < -0.95)
                    item_entry_logic.append(dataframe['r_14'] < -97)
                    item_entry_logic.append(dataframe['crsi_1h'] > 0.5)
                # Condition #35 - Long mode. Local deep dip.
                elif index == 35:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['close'] < dataframe['ema_25'] * 0.85)
                    item_entry_logic.append(dataframe['close'] > dataframe['open'])
                    item_entry_logic.append(dataframe['rsi_14'] < 46.0)
                    item_entry_logic.append(dataframe['mfi'] < 36.0)
                    item_entry_logic.append(dataframe['cti_1h'] > -0.85)
                # Condition #36 - Long mode. Uptrend. Local dip.
                elif index == 36:
                    # Non-Standard protections
                    item_entry_logic.append(dataframe['ema_200'] > dataframe['ema_200'].shift(36) * 1.035)
                    # Logic
                    item_entry_logic.append(dataframe['close'] < dataframe['ema_20'] * 0.956)
                    item_entry_logic.append(dataframe['rsi_14'] < 34.0)
                    item_entry_logic.append(dataframe['r_64'] < -80.0)
                    item_entry_logic.append(dataframe['cti'] < -0.5)
                    item_entry_logic.append(dataframe['r_480_1h'] < -30.0)
                # NFIX 37
                elif index == 37:
                    # Non-Standard protections
                    item_entry_logic.append(dataframe['ema_200'] > dataframe['ema_200'].shift(12) * 1.01)
                    # Logic
                    item_entry_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * 0.986)
                    item_entry_logic.append(dataframe['r_14'] < -75.0)
                    item_entry_logic.append(dataframe['r_64'] < -75.0)
                    item_entry_logic.append(dataframe['cmf_1h'] < 0.25)
                # NFIX 38
                elif index == 38:
                    # Non-Standard protections
                    item_entry_logic.append(dataframe['ema_200'] > dataframe['ema_200'].shift(12) * 1.01)
                    # Logic
                    item_entry_logic.append(dataframe['ema_26'] > dataframe['ema_12'])
                    item_entry_logic.append(dataframe['ema_26'] - dataframe['ema_12'] > dataframe['open'] * 0.02)
                    item_entry_logic.append(dataframe['ema_26'].shift() - dataframe['ema_12'].shift() > dataframe['open'] / 100)
                    item_entry_logic.append(dataframe['mfi'] < 34.5)
                    item_entry_logic.append(dataframe['r_64'] < -65.0)
                    item_entry_logic.append(dataframe['r_96'] < -50.0)
                    item_entry_logic.append(dataframe['r_480_1h'] < -1.0)
                # NFIX 39
                elif index == 39:
                    # Non-Standard protections
                    item_entry_logic.append(dataframe['ema_200'] > dataframe['ema_200'].shift(12) * 1.01)
                    item_entry_logic.append(dataframe['ema_200'] > dataframe['ema_200'].shift(48) * 1.07)
                    # Logic
                    item_entry_logic.append(dataframe['bb40_2_low'].shift().gt(0))
                    item_entry_logic.append(dataframe['bb40_2_delta'].gt(dataframe['close'] * 0.056))
                    item_entry_logic.append(dataframe['closedelta'].gt(dataframe['close'] * 0.01))
                    item_entry_logic.append(dataframe['tail'].lt(dataframe['bb40_2_delta'] * 0.5))
                    item_entry_logic.append(dataframe['close'].lt(dataframe['bb40_2_low'].shift()))
                    item_entry_logic.append(dataframe['close'].le(dataframe['close'].shift()))
                    item_entry_logic.append(dataframe['close'] > dataframe['ema_50'] * 0.925)
                # NFIX 40
                elif index == 40:
                    # Non-Standard protections
                    item_entry_logic.append(dataframe['ema_200'] > dataframe['ema_200'].shift(12) * 1.01)
                    # Logic
                    item_entry_logic.append(dataframe['close'] < dataframe['ema_20'] * 0.97)
                    item_entry_logic.append(dataframe['rsi_14'] < 32.0)
                    item_entry_logic.append(dataframe['r_14'] < -90.0)
                    item_entry_logic.append(dataframe['r_64'] < -80.0)
                # Condition #41 - 15m. Semi swing. Local dip. BTC not downtrend.
                elif index == 41:
                    # Non-Standard protections
                    item_entry_logic.append(dataframe['ema_12_15m'] > dataframe['ema_200_1h'])
                    # Logic
                    item_entry_logic.append(dataframe['ema_26_15m'] > dataframe['ema_12_15m'])
                    item_entry_logic.append(dataframe['ema_26_15m'] - dataframe['ema_12_15m'] > dataframe['open_15m'] * 0.03)
                    item_entry_logic.append(dataframe['ema_26_15m'].shift(3) - dataframe['ema_12_15m'].shift(3) > dataframe['open_15m'] / 100)
                    item_entry_logic.append(dataframe['close_15m'] < dataframe['bb20_2_low_15m'] * 0.99)
                # Condition #42 - 15m. Semi swing. Local dip. 15m uptrend.
                elif index == 42:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['ewo_15m'] > 5.4)
                    item_entry_logic.append(dataframe['rsi_14_15m'] < 36.0)
                    item_entry_logic.append(dataframe['cti_15m'] < -0.9)
                    item_entry_logic.append(dataframe['cci_15m'] < -160.0)
                    item_entry_logic.append(dataframe['r_14_15m'] < -90.0)
                    item_entry_logic.append(dataframe['cti_1h'] < 0.5)
                # Condition #43 - 15m. Semi swing. Local dip. 1h uptrend.
                elif index == 43:
                    # Non-Standard protections
                    # Logic
                    item_entry_logic.append(dataframe['bb40_2_low_15m'].shift().gt(0))
                    item_entry_logic.append(dataframe['bb40_2_delta_15m'].gt(dataframe['close_15m'] * 0.045))
                    item_entry_logic.append(dataframe['closedelta_15m'].gt(dataframe['close_15m'] * 0.032))
                    item_entry_logic.append(dataframe['tail_15m'].lt(dataframe['bb40_2_delta_15m'] * 0.18))
                    item_entry_logic.append(dataframe['close_15m'].lt(dataframe['bb40_2_low_15m'].shift()))
                    item_entry_logic.append(dataframe['close_15m'].le(dataframe['close_15m'].shift()))
                    item_entry_logic.append(dataframe['rsi_14_15m'] < 30.0)
                    item_entry_logic.append(dataframe['cti_15m'] < -0.85)
                    item_entry_logic.append(dataframe['r_14_15m'] < -90.0)
                    item_entry_logic.append(dataframe['r_64_15m'] < -70.0)
                item_entry_logic.append(dataframe['volume'] > 0)
                item_entry = reduce(lambda x, y: x & y, item_entry_logic)
                dataframe.loc[item_entry, 'enter_tag'] += f'{index} '
                conditions.append(item_entry)
        if conditions:
            dataframe.loc[:, 'enter_long'] = reduce(lambda x, y: x | y, conditions)
        return dataframe

    def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe.loc[:, 'exit_long'] = 0
        return dataframe

    def confirm_trade_exit(self, pair: str, trade: 'Trade', order_type: str, amount: float, rate: float, time_in_force: str, exit_reason: str, **kwargs) -> bool:
        """
        Called right before placing a regular exit order.
        Timing for this function is critical, so avoid doing heavy computations or
        network requests in this method.

        For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/

        When not implemented by a strategy, returns True (always confirming).

        :param pair: Pair that's about to be sold.
        :param trade: trade object.
        :param order_type: Order type (as configured in order_types). usually limit or market.
        :param amount: Amount in quote currency.
        :param rate: Rate that's going to be used when using limit orders
        :param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled).
        :param exit_reason: Sell reason.
            Can be any of ['roi', 'stop_loss', 'stoploss_on_exchange', 'trailing_stop_loss',
                           'exit_signal', 'force_exit', 'emergency_exit']
        :param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
        :return bool: When True is returned, then the exit-order is placed on the exchange.
            False aborts the process
        """
        if self._should_hold_trade(trade, rate, exit_reason):
            return False
        return True

    def _should_hold_trade(self, trade: 'Trade', rate: float, exit_reason: str) -> bool:
        if self.config['runmode'].value not in ('live', 'dry_run'):
            return False
        if not self.holdSupportEnabled:
            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, exit
            return False
        if not self.hold_trades_cache.data:
            # We have no pairs we want to hold until profit, exit
            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]
            current_profit_ratio = trade.calc_profit_ratio(rate)
            if exit_reason == 'force_exit':
                formatted_profit_ratio = f'{trade_profit_ratio * 100}%'
                formatted_current_profit_ratio = f'{current_profit_ratio * 100}%'
                log.warning('Force exiting %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, exit
                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]
            current_profit_ratio = trade.calc_profit_ratio(rate)
            if exit_reason == 'force_exit':
                formatted_profit_ratio = f'{trade_profit_ratio * 100}%'
                formatted_current_profit_ratio = f'{current_profit_ratio * 100}%'
                log.warning('Force exiting %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, exit
                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
# Elliot Wave Oscillator

def ewo(dataframe, sma1_length=5, sma2_length=35):
    sma1 = ta.EMA(dataframe, timeperiod=sma1_length)
    sma2 = ta.EMA(dataframe, timeperiod=sma2_length)
    smadif = (sma1 - sma2) / dataframe['close'] * 100
    return smadif
# Chaikin Money Flow

def chaikin_money_flow(dataframe, n=20, fillna=False) -> Series:
    """Chaikin Money Flow (CMF)
    It measures the amount of Money Flow Volume over a specific period.
    http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:chaikin_money_flow_cmf
    Args:
        dataframe(pandas.Dataframe): dataframe containing ohlcv
        n(int): n period.
        fillna(bool): if True, fill nan values.
    Returns:
        pandas.Series: New feature generated.
    """
    mfv = (dataframe['close'] - dataframe['low'] - (dataframe['high'] - dataframe['close'])) / (dataframe['high'] - dataframe['low'])
    mfv = mfv.fillna(0.0)  # float division by zero
    mfv *= dataframe['volume']
    cmf = mfv.rolling(n, min_periods=0).sum() / dataframe['volume'].rolling(n, min_periods=0).sum()
    if fillna:
        cmf = cmf.replace([np.inf, -np.inf], np.nan).fillna(0)
    return Series(cmf, name='cmf')
# Williams %R

def williams_r(dataframe: DataFrame, period: int=14) -> Series:
    """Williams %R, or just %R, is a technical analysis oscillator showing the current closing price in relation to the high and low
        of the past N days (for a given N). It was developed by a publisher and promoter of trading materials, Larry Williams.
        Its purpose is to tell whether a stock or commodity market is trading near the high or the low, or somewhere in between,
        of its recent trading range.
        The oscillator is on a negative scale, from −100 (lowest) up to 0 (highest).
    """
    highest_high = dataframe['high'].rolling(center=False, window=period).max()
    lowest_low = dataframe['low'].rolling(center=False, window=period).min()
    WR = Series((highest_high - dataframe['close']) / (highest_high - lowest_low), name=f'{period} Williams %R')
    return WR * -100
# Volume Weighted Moving Average

def vwma(dataframe: DataFrame, length: int=10):
    """Indicator: Volume Weighted Moving Average (VWMA)"""
    # Calculate Result
    pv = dataframe['close'] * dataframe['volume']
    vwma = Series(ta.SMA(pv, timeperiod=length) / ta.SMA(dataframe['volume'], timeperiod=length))
    vwma = vwma.fillna(0, inplace=True)
    return vwma
# Exponential moving average of a volume weighted simple moving average

def ema_vwma_osc(dataframe, len_slow_ma):
    slow_ema = Series(ta.EMA(vwma(dataframe, len_slow_ma), len_slow_ma))
    return (slow_ema - slow_ema.shift(1)) / slow_ema.shift(1) * 100

def pivot_points(dataframe: DataFrame, mode='fibonacci') -> Series:
    hlc3_pivot = (dataframe['high'] + dataframe['low'] + dataframe['close']).shift(1) / 3
    hl_range = (dataframe['high'] - dataframe['low']).shift(1)
    if mode == 'simple':
        res1 = hlc3_pivot * 2 - dataframe['low'].shift(1)
        sup1 = hlc3_pivot * 2 - dataframe['high'].shift(1)
        res2 = hlc3_pivot + (dataframe['high'] - dataframe['low']).shift()
        sup2 = hlc3_pivot - (dataframe['high'] - dataframe['low']).shift()
        res3 = hlc3_pivot * 2 + (dataframe['high'] - 2 * dataframe['low']).shift()
        sup3 = hlc3_pivot * 2 - (2 * dataframe['high'] - dataframe['low']).shift()
    elif mode == 'fibonacci':
        res1 = hlc3_pivot + 0.382 * hl_range
        sup1 = hlc3_pivot - 0.382 * hl_range
        res2 = hlc3_pivot + 0.618 * hl_range
        sup2 = hlc3_pivot - 0.618 * hl_range
        res3 = hlc3_pivot + 1 * hl_range
        sup3 = hlc3_pivot - 1 * hl_range
    return (hlc3_pivot, res1, res2, res3, sup1, sup2, sup3)

def heikin_ashi(dataframe, smooth_inputs=False, smooth_outputs=False, length=10):
    df = dataframe[['open', 'close', 'high', 'low']].copy().fillna(0)
    if smooth_inputs:
        df['open_s'] = ta.EMA(df['open'], timeframe=length)
        df['high_s'] = ta.EMA(df['high'], timeframe=length)
        df['low_s'] = ta.EMA(df['low'], timeframe=length)
        df['close_s'] = ta.EMA(df['close'], timeframe=length)
        open_ha = (df['open_s'].shift(1) + df['close_s'].shift(1)) / 2
        high_ha = df.loc[:, ['high_s', 'open_s', 'close_s']].max(axis=1)
        low_ha = df.loc[:, ['low_s', 'open_s', 'close_s']].min(axis=1)
        close_ha = (df['open_s'] + df['high_s'] + df['low_s'] + df['close_s']) / 4
    else:
        open_ha = (df['open'].shift(1) + df['close'].shift(1)) / 2
        high_ha = df.loc[:, ['high', 'open', 'close']].max(axis=1)
        low_ha = df.loc[:, ['low', 'open', 'close']].min(axis=1)
        close_ha = (df['open'] + df['high'] + df['low'] + df['close']) / 4
    open_ha = open_ha.fillna(0)
    high_ha = high_ha.fillna(0)
    low_ha = low_ha.fillna(0)
    close_ha = close_ha.fillna(0)
    if smooth_outputs:
        open_sha = ta.EMA(open_ha, timeframe=length)
        high_sha = ta.EMA(high_ha, timeframe=length)
        low_sha = ta.EMA(low_ha, timeframe=length)
        close_sha = ta.EMA(close_ha, timeframe=length)
        return (open_sha, close_sha, low_sha)
    else:
        return (open_ha, close_ha, low_ha)
# PMAX

def pmax(df, period, multiplier, length, MAtype, src):
    period = int(period)
    multiplier = int(multiplier)
    length = int(length)
    MAtype = int(MAtype)
    src = int(src)
    mavalue = f'MA_{MAtype}_{length}'
    atr = f'ATR_{period}'
    pm = f'pm_{period}_{multiplier}_{length}_{MAtype}'
    pmx = f'pmX_{period}_{multiplier}_{length}_{MAtype}'
    # MAtype==1 --> EMA
    # MAtype==2 --> DEMA
    # MAtype==3 --> T3
    # MAtype==4 --> SMA
    # MAtype==5 --> VIDYA
    # MAtype==6 --> TEMA
    # MAtype==7 --> WMA
    # MAtype==8 --> VWMA
    # MAtype==9 --> zema
    if src == 1:
        masrc = df['close']
    elif src == 2:
        masrc = (df['high'] + df['low']) / 2
    elif src == 3:
        masrc = (df['high'] + df['low'] + df['close'] + df['open']) / 4
    if MAtype == 1:
        mavalue = ta.EMA(masrc, timeperiod=length)
    elif MAtype == 2:
        mavalue = ta.DEMA(masrc, timeperiod=length)
    elif MAtype == 3:
        mavalue = ta.T3(masrc, timeperiod=length)
    elif MAtype == 4:
        mavalue = ta.SMA(masrc, timeperiod=length)
    elif MAtype == 5:
        mavalue = VIDYA(df, length=length)
    elif MAtype == 6:
        mavalue = ta.TEMA(masrc, timeperiod=length)
    elif MAtype == 7:
        mavalue = ta.WMA(df, timeperiod=length)
    elif MAtype == 8:
        mavalue = vwma(df, length)
    elif MAtype == 9:
        mavalue = zema(df, period=length)
    df[atr] = ta.ATR(df, timeperiod=period)
    df['basic_ub'] = mavalue + multiplier / 10 * df[atr]
    df['basic_lb'] = mavalue - multiplier / 10 * df[atr]
    basic_ub = df['basic_ub'].values
    final_ub = np.full(len(df), 0.0)
    basic_lb = df['basic_lb'].values
    final_lb = np.full(len(df), 0.0)
    for i in range(period, len(df)):
        final_ub[i] = basic_ub[i] if basic_ub[i] < final_ub[i - 1] or mavalue[i - 1] > final_ub[i - 1] else final_ub[i - 1]
        final_lb[i] = basic_lb[i] if basic_lb[i] > final_lb[i - 1] or mavalue[i - 1] < final_lb[i - 1] else final_lb[i - 1]
    df['final_ub'] = final_ub
    df['final_lb'] = final_lb
    pm_arr = np.full(len(df), 0.0)
    for i in range(period, len(df)):
        pm_arr[i] = final_ub[i] if pm_arr[i - 1] == final_ub[i - 1] and mavalue[i] <= final_ub[i] else final_lb[i] if pm_arr[i - 1] == final_ub[i - 1] and mavalue[i] > final_ub[i] else final_lb[i] if pm_arr[i - 1] == final_lb[i - 1] and mavalue[i] >= final_lb[i] else final_ub[i] if pm_arr[i - 1] == final_lb[i - 1] and mavalue[i] < final_lb[i] else 0.0
    pm = Series(pm_arr)
    # Mark the trend direction up/down
    pmx = np.where(pm_arr > 0.0, np.where(mavalue < pm_arr, 'down', 'up'), np.NaN)
    return (pm, pmx)
# Mom DIV

def momdiv(dataframe: DataFrame, mom_length: int=10, bb_length: int=20, bb_dev: float=2.0, lookback: int=30) -> DataFrame:
    mom: Series = ta.MOM(dataframe, timeperiod=mom_length)
    upperband, middleband, lowerband = ta.BBANDS(mom, timeperiod=bb_length, nbdevup=bb_dev, nbdevdn=bb_dev, matype=0)
    enter_long = qtpylib.crossed_below(mom, lowerband)
    exit_long = qtpylib.crossed_above(mom, upperband)
    hh = dataframe['high'].rolling(lookback).max()
    ll = dataframe['low'].rolling(lookback).min()
    coh = dataframe['high'] >= hh
    col = dataframe['low'] <= ll
    df = DataFrame({'momdiv_mom': mom, 'momdiv_upperb': upperband, 'momdiv_lowerb': lowerband, 'momdiv_entry': enter_long, 'momdiv_exit': exit_long, 'momdiv_coh': coh, 'momdiv_col': col}, index=dataframe['close'].index)
    return df

class Cache:

    def __init__(self, path):
        self.path = path
        self.data = {}
        self._mtime = None
        self._previous_data = {}
        try:
            self.load()
        except FileNotFoundError:
            pass

    @staticmethod
    def rapidjson_load_kwargs():
        return {'number_mode': rapidjson.NM_NATIVE}

    @staticmethod
    def rapidjson_dump_kwargs():
        return {'number_mode': rapidjson.NM_NATIVE}

    def load(self):
        if not self._mtime or self.path.stat().st_mtime_ns != self._mtime:
            self._load()

    def save(self):
        if self.data != self._previous_data:
            self._save()

    def process_loaded_data(self, data):
        return data

    def _load(self):
        # This method only exists to simplify unit testing
        with self.path.open('r') as rfh:
            try:
                data = rapidjson.load(rfh, **self.rapidjson_load_kwargs())
            except rapidjson.JSONDecodeError as exc:
                log.error('Failed to load JSON from %s: %s', self.path, exc)
            else:
                self.data = self.process_loaded_data(data)
                self._previous_data = copy.deepcopy(self.data)
                self._mtime = self.path.stat().st_mtime_ns

    def _save(self):
        # This method only exists to simplify unit testing
        rapidjson.dump(self.data, self.path.open('w'), **self.rapidjson_dump_kwargs())
        self._mtime = self.path.stat().st_mtime
        self._previous_data = copy.deepcopy(self.data)

class HoldsCache(Cache):

    @staticmethod
    def rapidjson_load_kwargs():
        return {'number_mode': rapidjson.NM_NATIVE, 'object_hook': HoldsCache._object_hook}

    @staticmethod
    def rapidjson_dump_kwargs():
        return {'number_mode': rapidjson.NM_NATIVE, 'mapping_mode': rapidjson.MM_COERCE_KEYS_TO_STRINGS}

    def save(self):
        raise RuntimeError('The holds cache does not allow programatical save')

    def process_loaded_data(self, data):
        trade_ids = data.get('trade_ids')
        trade_pairs = data.get('trade_pairs')
        if not trade_ids and (not trade_pairs):
            return data
        open_trades = {}
        for trade in Trade.get_trades_proxy(is_open=True):
            open_trades[trade.id] = open_trades[trade.pair] = trade
        r_trade_ids = {}
        if trade_ids:
            if isinstance(trade_ids, dict):
                # New syntax
                for trade_id, profit_ratio in trade_ids.items():
                    if not isinstance(trade_id, int):
                        log.error("The trade_id(%s) defined under 'trade_ids' in %s is not an integer", trade_id, self.path)
                        continue
                    if not isinstance(profit_ratio, float):
                        log.error("The 'profit_ratio' config value(%s) for trade_id %s in %s is not a float", profit_ratio, trade_id, self.path)
                    if trade_id in open_trades:
                        formatted_profit_ratio = f'{profit_ratio * 100}%'
                        log.warning('The trade %s is configured to HOLD until the profit ratio of %s is met', open_trades[trade_id], formatted_profit_ratio)
                        r_trade_ids[trade_id] = profit_ratio
                    else:
                        log.warning("The trade_id(%s) is no longer open. Please remove it from 'trade_ids' in %s", trade_id, self.path)
            else:
                # Initial Syntax
                profit_ratio = data.get('profit_ratio')
                if profit_ratio:
                    if not isinstance(profit_ratio, float):
                        log.error("The 'profit_ratio' config value(%s) in %s is not a float", profit_ratio, self.path)
                else:
                    profit_ratio = 0.005
                formatted_profit_ratio = f'{profit_ratio * 100}%'
                for trade_id in trade_ids:
                    if not isinstance(trade_id, int):
                        log.error("The trade_id(%s) defined under 'trade_ids' in %s is not an integer", trade_id, self.path)
                        continue
                    if trade_id in open_trades:
                        log.warning('The trade %s is configured to HOLD until the profit ratio of %s is met', open_trades[trade_id], formatted_profit_ratio)
                        r_trade_ids[trade_id] = profit_ratio
                    else:
                        log.warning("The trade_id(%s) is no longer open. Please remove it from 'trade_ids' in %s", trade_id, self.path)
        r_trade_pairs = {}
        if trade_pairs:
            for trade_pair, profit_ratio in trade_pairs.items():
                if not isinstance(trade_pair, str):
                    log.error("The trade_pair(%s) defined under 'trade_pairs' in %s is not a string", trade_pair, self.path)
                    continue
                if '/' not in trade_pair:
                    log.error("The trade_pair(%s) defined under 'trade_pairs' in %s does not look like a valid '<TOKEN_NAME>/<STAKE_CURRENCY>' formatted pair.", trade_pair, self.path)
                    continue
                if not isinstance(profit_ratio, float):
                    log.error("The 'profit_ratio' config value(%s) for trade_pair %s in %s is not a float", profit_ratio, trade_pair, self.path)
                formatted_profit_ratio = f'{profit_ratio * 100}%'
                if trade_pair in open_trades:
                    log.warning('The trade %s is configured to HOLD until the profit ratio of %s is met', open_trades[trade_pair], formatted_profit_ratio)
                else:
                    log.warning('The trade pair %s is configured to HOLD until the profit ratio of %s is met', trade_pair, formatted_profit_ratio)
                r_trade_pairs[trade_pair] = profit_ratio
        r_data = {}
        if r_trade_ids:
            r_data['trade_ids'] = r_trade_ids
        if r_trade_pairs:
            r_data['trade_pairs'] = r_trade_pairs
        return r_data

    @staticmethod
    def _object_hook(data):
        _data = {}
        for key, value in data.items():
            try:
                key = int(key)
            except ValueError:
                pass
            _data[key] = value
        return _data