Timeframe
15m
Direction
Long Only
Stoploss
-50.0%
Trailing Stop
No
ROI
0m: 10000.0%
Interface Version
2
Startup Candles
N/A
Indicators
15
freqtrade/freqtrade-strategies
Strategy 003 author@: Gerald Lonlas github@: https://github.com/freqtrade/freqtrade-strategies
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 pandas import DataFrame, Series
from functools import reduce
from freqtrade.persistence import Trade
from datetime import datetime, timedelta
from technical.util import resample_to_interval, resampled_merge
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")
###########################################################################################################
## NostalgiaForInfinityV9 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 15m). ##
## use_sell_signal must set to true (or not set at all). ##
## sell_profit_only must set to false (or not set at all). ##
## ignore_roi_if_buy_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 ##
## ##
## BTC: bc1qvflsvddkmxh7eqhc4jyu5z5k6xcw3ay8jl49sk ##
## ETH (ERC20): 0x83D3cFb8001BDC5d2211cBeBB8cB3461E5f7Ec91 ##
## BEP20/BSC (USDT, ETH, BNB, ...): 0x86A0B21a20b39d16424B7c8003E4A7e12d78ABEe ##
## TRC20/TRON (USDT, TRON, ...): TTAa9MX6zMLXNgWMhg7tkNormVHWCoq8Xk ##
## ##
## REFERRAL LINKS ##
## ##
## Binance: https://accounts.binance.com/en/register?ref=EAZC47FM (5% discount on trading fees) ##
## Kucoin: https://www.kucoin.com/r/QBSSSPYV (5% discount on trading fees) ##
## Gate.io: https://www.gate.io/signup/8054544 (10% discount on trading fees) ##
## OKEx: https://www.okex.com/join/11749725760 (5% discount on trading fees) ##
## Huobi: https://www.huobi.com/en-us/topic/double-reward/?invite_code=ubpt2223 ##
###########################################################################################################
class NostalgiaForInfinityNextGen(IStrategy):
INTERFACE_VERSION = 2
# ROI table:
minimal_roi = {
"0": 100.0,
}
stoploss = -0.50
# Trailing stoploss (not used)
trailing_stop = False
trailing_only_offset_is_reached = True
trailing_stop_positive = 0.01
trailing_stop_positive_offset = 0.03
use_custom_stoploss = False
# Optimal timeframe for the strategy.
timeframe = "15m"
res_timeframe = "none"
info_timeframe_1h = "1h"
info_timeframe_1d = "1d"
# 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_sell_signal = True
sell_profit_only = False
ignore_roi_if_buy_signal = True
# Number of candles the strategy requires before producing valid signals
startup_candle_count: int = 480
# Optional order type mapping.
order_types = {
"buy": "limit",
"sell": "limit",
"trailing_stop_loss": "limit",
"stoploss": "limit",
"stoploss_on_exchange": False,
"stoploss_on_exchange_interval": 60,
"stoploss_on_exchange_limit_ratio": 0.99,
}
#############################################################
buy_params = {
#############
# Enable/Disable conditions
"buy_condition_1_enable": True,
"buy_condition_2_enable": True,
"buy_condition_3_enable": True,
"buy_condition_4_enable": True,
"buy_condition_5_enable": True,
"buy_condition_6_enable": True,
"buy_condition_7_enable": True,
"buy_condition_8_enable": True,
"buy_condition_9_enable": True,
"buy_condition_10_enable": True,
"buy_condition_11_enable": True,
"buy_condition_12_enable": True,
"buy_condition_13_enable": True,
"buy_condition_14_enable": True,
"buy_condition_15_enable": True,
"buy_condition_16_enable": True,
"buy_condition_17_enable": True,
"buy_condition_18_enable": True,
"buy_condition_19_enable": True,
"buy_condition_20_enable": True,
"buy_condition_21_enable": True,
#############
}
sell_params = {
#############
# Enable/Disable conditions
"sell_condition_1_enable": True,
#############
}
#############################################################
buy_protection_params = {
1: {
"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": "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": 0.36,
"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", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset": 1.0,
"close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset": 1.0,
},
2: {
"ema_fast": False,
"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": "50",
"sma200_1h_rising": False,
"sma200_1h_rising_val": "50",
"safe_dips_threshold_0": 0.06,
"safe_dips_threshold_2": None,
"safe_dips_threshold_12": None,
"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": 1.45,
"btc_1h_not_downtrend": True,
"close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset": 1.0,
"close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset": 1.0,
},
3: {
"ema_fast": False,
"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": "50",
"sma200_1h_rising": False,
"sma200_1h_rising_val": "50",
"safe_dips_threshold_0": 0.05,
"safe_dips_threshold_2": 0.12,
"safe_dips_threshold_12": None,
"safe_dips_threshold_144": 0.3,
"safe_pump_6h_threshold": 0.45,
"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", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset": 1.0,
"close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset": 1.0,
},
4: {
"ema_fast": False,
"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": "50",
"sma200_1h_rising": True,
"sma200_1h_rising_val": "50",
"safe_dips_threshold_0": 0.045,
"safe_dips_threshold_2": 0.12,
"safe_dips_threshold_12": 0.34,
"safe_dips_threshold_144": 0.48,
"safe_pump_6h_threshold": None,
"safe_pump_12h_threshold": 0.42,
"safe_pump_24h_threshold": None,
"safe_pump_36h_threshold": None,
"safe_pump_48h_threshold": None,
"btc_1h_not_downtrend": False,
"close_over_pivot_type": "sup3", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset": 0.97,
"close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset": 1.0,
},
5: {
"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": "50",
"sma200_1h_rising": True,
"sma200_1h_rising_val": "24",
"safe_dips_threshold_0": 0.03,
"safe_dips_threshold_2": 0.14,
"safe_dips_threshold_12": 0.28,
"safe_dips_threshold_144": 0.44,
"safe_pump_6h_threshold": None,
"safe_pump_12h_threshold": None,
"safe_pump_24h_threshold": None,
"safe_pump_36h_threshold": None,
"safe_pump_48h_threshold": 1.5,
"btc_1h_not_downtrend": False,
"close_over_pivot_type": "sup3", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset": 1.0,
"close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset": 1.3,
},
6: {
"ema_fast": False,
"ema_fast_len": "12",
"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": "50",
"sma200_1h_rising": False,
"sma200_1h_rising_val": "24",
"safe_dips_threshold_0": 0.08,
"safe_dips_threshold_2": 0.16,
"safe_dips_threshold_12": 0.4,
"safe_dips_threshold_144": 0.8,
"safe_pump_6h_threshold": None,
"safe_pump_12h_threshold": None,
"safe_pump_24h_threshold": None,
"safe_pump_36h_threshold": None,
"safe_pump_48h_threshold": 1.3,
"btc_1h_not_downtrend": False,
"close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset": 1.0,
"close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset": 1.15,
},
7: {
"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": "50",
"sma200_1h_rising": False,
"sma200_1h_rising_val": "24",
"safe_dips_threshold_0": 0.05,
"safe_dips_threshold_2": 0.1,
"safe_dips_threshold_12": 0.2,
"safe_dips_threshold_144": 0.6,
"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", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset": 1.0,
"close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset": 1.1,
},
8: {
"ema_fast": False,
"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": "24",
"sma200_1h_rising": True,
"sma200_1h_rising_val": "50",
"safe_dips_threshold_0": 0.04,
"safe_dips_threshold_2": 0.18,
"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": 0.9,
"btc_1h_not_downtrend": False,
"close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset": 1.0,
"close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset": 1.15,
},
9: {
"ema_fast": False,
"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": "24",
"sma200_1h_rising": False,
"sma200_1h_rising_val": "50",
"safe_dips_threshold_0": 0.04,
"safe_dips_threshold_2": 0.1,
"safe_dips_threshold_12": 0.26,
"safe_dips_threshold_144": 0.38,
"safe_pump_6h_threshold": None,
"safe_pump_12h_threshold": None,
"safe_pump_24h_threshold": None,
"safe_pump_36h_threshold": None,
"safe_pump_48h_threshold": 0.9,
"btc_1h_not_downtrend": False,
"close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset": 1.0,
"close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset": 1.0,
},
10: {
"ema_fast": False,
"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": "24",
"sma200_1h_rising": False,
"sma200_1h_rising_val": "50",
"safe_dips_threshold_0": 0.03,
"safe_dips_threshold_2": 0.07,
"safe_dips_threshold_12": 0.26,
"safe_dips_threshold_144": 0.38,
"safe_pump_6h_threshold": 0.45,
"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", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset": 1.0,
"close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset": 1.0,
},
11: {
"ema_fast": False,
"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": "24",
"sma200_1h_rising": False,
"sma200_1h_rising_val": "50",
"safe_dips_threshold_0": 0.04,
"safe_dips_threshold_2": 0.08,
"safe_dips_threshold_12": 0.26,
"safe_dips_threshold_144": 0.38,
"safe_pump_6h_threshold": None,
"safe_pump_12h_threshold": None,
"safe_pump_24h_threshold": None,
"safe_pump_36h_threshold": None,
"safe_pump_48h_threshold": 0.9,
"btc_1h_not_downtrend": False,
"close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset": 1.0,
"close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset": 1.0,
},
12: {
"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": "24",
"sma200_1h_rising": False,
"sma200_1h_rising_val": "50",
"safe_dips_threshold_0": 0.04,
"safe_dips_threshold_2": 0.09,
"safe_dips_threshold_12": 0.32,
"safe_dips_threshold_144": 0.44,
"safe_pump_6h_threshold": 0.22,
"safe_pump_12h_threshold": 0.45,
"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", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset": 1.0,
"close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset": 1.0,
},
13: {
"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": "24",
"sma200_1h_rising": False,
"sma200_1h_rising_val": "50",
"safe_dips_threshold_0": 0.04,
"safe_dips_threshold_2": 0.09,
"safe_dips_threshold_12": 0.32,
"safe_dips_threshold_144": 0.44,
"safe_pump_6h_threshold": 0.3,
"safe_pump_12h_threshold": None,
"safe_pump_24h_threshold": None,
"safe_pump_36h_threshold": 0.74,
"safe_pump_48h_threshold": None,
"btc_1h_not_downtrend": True,
"close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset": 1.0,
"close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset": 1.0,
},
14: {
"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": "24",
"sma200_1h_rising": False,
"sma200_1h_rising_val": "24",
"safe_dips_threshold_0": 0.06,
"safe_dips_threshold_2": 0.09,
"safe_dips_threshold_12": None,
"safe_dips_threshold_144": None,
"safe_pump_6h_threshold": 0.42,
"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", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset": 1.0,
"close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset": 1.0,
},
15: {
"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": "24",
"sma200_1h_rising": False,
"sma200_1h_rising_val": "50",
"safe_dips_threshold_0": 0.06,
"safe_dips_threshold_2": 0.1,
"safe_dips_threshold_12": 0.28,
"safe_dips_threshold_144": 0.48,
"safe_pump_6h_threshold": 0.5,
"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", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset": 1.0,
"close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset": 1.0,
},
16: {
"ema_fast": False,
"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": "24",
"sma200_1h_rising": False,
"sma200_1h_rising_val": "24",
"safe_dips_threshold_0": 0.08,
"safe_dips_threshold_2": 0.12,
"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": None,
"safe_pump_36h_threshold": 1.8,
"safe_pump_48h_threshold": None,
"btc_1h_not_downtrend": True,
"close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset": 1.0,
"close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset": 1.1,
},
17: {
"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": "24",
"sma200_1h_rising": False,
"sma200_1h_rising_val": "24",
"safe_dips_threshold_0": 0.08,
"safe_dips_threshold_2": 0.12,
"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": None,
"safe_pump_36h_threshold": None,
"safe_pump_48h_threshold": None,
"btc_1h_not_downtrend": True,
"close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset": 1.0,
"close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset": 1.0,
},
18: {
"ema_fast": False,
"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": "24",
"sma200_1h_rising": False,
"sma200_1h_rising_val": "24",
"safe_dips_threshold_0": 0.08,
"safe_dips_threshold_2": 0.12,
"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": None,
"safe_pump_36h_threshold": 0.75,
"safe_pump_48h_threshold": None,
"btc_1h_not_downtrend": False,
"close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset": 1.0,
"close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset": 1.0,
},
19: {
"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": "24",
"sma200_1h_rising": False,
"sma200_1h_rising_val": "24",
"safe_dips_threshold_0": 0.08,
"safe_dips_threshold_2": 0.12,
"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": None,
"safe_pump_36h_threshold": 0.75,
"safe_pump_48h_threshold": None,
"btc_1h_not_downtrend": True,
"close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset": 1.0,
"close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset": 1.0,
},
20: {
"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": "50",
"sma200_1h_rising": False,
"sma200_1h_rising_val": "24",
"safe_dips_threshold_0": None,
"safe_dips_threshold_2": None,
"safe_dips_threshold_12": None,
"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", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset": 1.0,
"close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset": 1.0,
},
21: {
"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": "24",
"sma200_1h_rising": True,
"sma200_1h_rising_val": "24",
"safe_dips_threshold_0": 0.05,
"safe_dips_threshold_2": 0.12,
"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": None,
"safe_pump_36h_threshold": None,
"safe_pump_48h_threshold": None,
"btc_1h_not_downtrend": False,
"close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_over_pivot_offset": 1.0,
"close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3
"close_under_pivot_offset": 1.1,
},
}
# 5 hours - level 10
buy_dump_protection_10_5 = 0.4
# 5 hours - level 20
buy_dump_protection_20_5 = 0.44
# 5 hours - level 30
buy_dump_protection_30_5 = 0.50
# 5 hours - level 40
buy_dump_protection_40_5 = 0.58
# 5 hours - level 50
buy_dump_protection_50_5 = 0.66
# 5 hours - level 60
buy_dump_protection_60_5 = 0.74
# Sell
sell_condition_1_enable = True
# 48h for pump sell checks
sell_pump_threshold_48_1 = 0.9
sell_pump_threshold_48_2 = 0.7
sell_pump_threshold_48_3 = 0.5
# 36h for pump sell checks
sell_pump_threshold_36_1 = 0.72
sell_pump_threshold_36_2 = 4.0
sell_pump_threshold_36_3 = 1.0
# 24h for pump sell checks
sell_pump_threshold_24_1 = 0.68
sell_pump_threshold_24_2 = 0.62
sell_pump_threshold_24_3 = 0.88
sell_rsi_bb_1 = 74.0
sell_rsi_bb_2 = 75.0
sell_rsi_main_3 = 78.0
sell_dual_rsi_rsi_4 = 68.4
sell_dual_rsi_rsi_1h_4 = 74.6
sell_ema_relative_5 = 0.024
sell_rsi_diff_5 = 4.4
sell_rsi_under_6 = 74.0
sell_rsi_1h_7 = 76.7
sell_bb_relative_8 = 1.1
#############################################################
#############################################################
# 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:
if (
row_data[0] > row_data[1]
and row_data[1] > row_data[2]
and row_data[2] < row_data[3]
and row_data[3] < row_data[4]
):
return True
return False
def is_resistance(self, row_data) -> bool:
if (
row_data[0] < row_data[1]
and row_data[1] < row_data[2]
and row_data[2] > row_data[3]
and row_data[3] > row_data[4]
):
return True
return False
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 sell_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",
buy_tag,
) -> tuple:
# Sell signal 1
if (
(last_candle["rsi_14"] > 78.0)
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"])
):
if last_candle["close"] > last_candle["ema_200"]:
if current_profit > 0.01:
return True, "sell_signal_1_1_1"
else:
if current_profit > 0.01:
return True, "sell_signal_1_2_1"
elif (current_profit < -0.05) and (max_loss > 0.12):
return True, "sell_signal_1_2_2"
# Sell signal 2
elif (
(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"])
):
if last_candle["close"] > last_candle["ema_200"]:
if current_profit > 0.01:
return True, "sell_signal_2_1_1"
else:
if current_profit > 0.01:
return True, "sell_signal_2_2_1"
elif (current_profit < -0.05) and (max_loss > 0.12):
return True, "sell_signal_2_2_2"
# Sell signal 3
elif last_candle["rsi_14"] > 82.0:
if last_candle["close"] > last_candle["ema_200"]:
if current_profit > 0.01:
return True, "sell_signal_3_1_1"
else:
if current_profit > 0.01:
return True, "sell_signal_3_2_1"
elif (current_profit < -0.05) and (max_loss > 0.12):
return True, "sell_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, "sell_signal_4_1_1"
else:
if current_profit > 0.01:
return True, "sell_signal_4_2_1"
elif (current_profit < -0.05) and (max_loss > 0.12):
return True, "sell_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, "sell_signal_6_1"
elif (current_profit < -0.05) and (max_loss > 0.12):
return True, "sell_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, "sell_signal_7_1_1"
else:
if current_profit > 0.01:
return True, "sell_signal_7_2_1"
elif (current_profit < -0.05) and (max_loss > 0.12):
return True, "sell_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, "sell_signal_8_1_1"
else:
if current_profit > 0.01:
return True, "sell_signal_8_2_1"
elif (current_profit < -0.05) and (max_loss > 0.12):
return True, "sell_signal_8_2_2"
return False, None
def sell_stoploss(
self,
current_profit: float,
max_profit: float,
max_loss: float,
last_candle,
previous_candle_1,
trade: "Trade",
current_time: "datetime",
) -> tuple:
# Under & near EMA200, local uptrend move
if (
(current_profit < -0.05)
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"]) < 0.015)
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=2880) > trade.open_date_utc)
):
return True, "sell_stoploss_u_e_1"
# 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, "sell_stoploss_u_e_2"
# Under EMA200, pair negative, low max rate
if (
(current_profit < -0.08)
and (max_profit < 0.04)
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=1440) > trade.open_date_utc)
):
return True, "sell_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 (max_profit < 0.005)
and (max_loss < 0.09)
and (last_candle["sma_200_dec_24"])
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, "sell_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 sell_over_main(self, current_profit: float, last_candle) -> tuple:
if last_candle["close"] > last_candle["ema_200"]:
if last_candle["moderi_96"]:
if current_profit >= 0.20:
if last_candle["rsi_14"] < 30.0:
return True, "sell_profit_o_bull_12_1"
elif (
(last_candle["rsi_14"] < 35.0)
and (last_candle["cmf"] < -0.28)
and (last_candle["rsi_14_1h"] < 35.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_o_bull_12_2"
elif (last_candle["rsi_14"] < 31.0) and (last_candle["rsi_14_1h"] < 36.0):
return True, "sell_profit_o_bull_12_3"
elif (
(last_candle["rsi_14"] < 31.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 42.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_o_bull_12_4"
elif 0.20 > current_profit >= 0.12:
if last_candle["rsi_14"] < 32.0:
return True, "sell_profit_o_bull_11_1"
elif (
(last_candle["rsi_14"] < 37.0)
and (last_candle["cmf"] < -0.24)
and (last_candle["rsi_14_1h"] < 37.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_o_bull_11_2"
elif (last_candle["rsi_14"] < 33.0) and (last_candle["rsi_14_1h"] < 38.0):
return True, "sell_profit_o_bull_11_3"
elif (
(last_candle["rsi_14"] < 33.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 42.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_o_bull_11_4"
elif 0.12 > current_profit >= 0.1:
if last_candle["rsi_14"] < 40.0:
return True, "sell_profit_o_bull_10_1"
elif (
(last_candle["rsi_14"] < 45.0)
and (last_candle["cmf"] < -0.22)
and (last_candle["rsi_14_1h"] < 43.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_o_bull_10_2"
elif (last_candle["rsi_14"] < 41.0) and (last_candle["rsi_14_1h"] < 40.0):
return True, "sell_profit_o_bull_10_3"
elif (
(last_candle["rsi_14"] < 41.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 42.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_o_bull_10_4"
elif 0.1 > current_profit >= 0.09:
if last_candle["rsi_14"] < 47.0:
return True, "sell_profit_o_bull_9_1"
elif (
(last_candle["rsi_14"] < 54.0)
and (last_candle["cmf"] < -0.12)
and (last_candle["rsi_14_1h"] < 49.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_o_bull_9_2"
elif (last_candle["rsi_14"] < 51.0) and (last_candle["rsi_14_1h"] < 43.0):
return True, "sell_profit_o_bull_9_3"
elif (
(last_candle["rsi_14"] < 51.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 42.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_o_bull_9_4"
elif 0.09 > current_profit >= 0.08:
if last_candle["rsi_14"] < 46.0:
return True, "sell_profit_o_bull_8_1"
elif (
(last_candle["rsi_14"] < 53.0)
and (last_candle["cmf"] < -0.12)
and (last_candle["rsi_14_1h"] < 49.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_o_bull_8_2"
elif (last_candle["rsi_14"] < 50.0) and (last_candle["rsi_14_1h"] < 42.0):
return True, "sell_profit_o_bull_8_3"
elif (
(last_candle["rsi_14"] < 50.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 42.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_o_bull_8_4"
elif 0.08 > current_profit >= 0.07:
if last_candle["rsi_14"] < 45.0:
return True, "sell_profit_o_bull_7_1"
elif (
(last_candle["rsi_14"] < 52.0)
and (last_candle["cmf"] < -0.12)
and (last_candle["rsi_14_1h"] < 49.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_o_bull_7_2"
elif (last_candle["rsi_14"] < 49.0) and (last_candle["rsi_14_1h"] < 41.0):
return True, "sell_profit_o_bull_7_3"
elif (
(last_candle["rsi_14"] < 49.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 42.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_o_bull_7_4"
elif 0.07 > current_profit >= 0.06:
if last_candle["rsi_14"] < 44.0:
return True, "sell_profit_o_bull_6_1"
elif (
(last_candle["rsi_14"] < 51.0)
and (last_candle["cmf"] < -0.12)
and (last_candle["rsi_14_1h"] < 49.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_o_bull_6_2"
elif (last_candle["rsi_14"] < 47.0) and (last_candle["rsi_14_1h"] < 40.0):
return True, "sell_profit_o_bull_6_3"
elif (
(last_candle["rsi_14"] < 47.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 42.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_o_bull_6_4"
elif 0.06 > current_profit >= 0.05:
if last_candle["rsi_14"] < 43.0:
return True, "sell_profit_o_bull_5_1"
elif (
(last_candle["rsi_14"] < 49.0)
and (last_candle["cmf"] < -0.13)
and (last_candle["rsi_14_1h"] < 49.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_o_bull_5_2"
elif (last_candle["rsi_14"] < 45.0) and (last_candle["rsi_14_1h"] < 39.0):
return True, "sell_profit_o_bull_5_3"
elif (
(last_candle["rsi_14"] < 45.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 42.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_o_bull_5_4"
elif 0.05 > current_profit >= 0.04:
if last_candle["rsi_14"] < 42.0:
return True, "sell_profit_o_bull_4_1"
elif (
(last_candle["rsi_14"] < 47.0)
and (last_candle["cmf"] < -0.14)
and (last_candle["rsi_14_1h"] < 48.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_o_bull_4_2"
elif (last_candle["rsi_14"] < 43.0) and (last_candle["rsi_14_1h"] < 38.0):
return True, "sell_profit_o_bull_4_3"
elif (
(last_candle["rsi_14"] < 43.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 42.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_o_bull_4_4"
elif 0.04 > current_profit >= 0.03:
if last_candle["rsi_14"] < 38.0:
return True, "sell_profit_o_bull_3_1"
elif (
(last_candle["rsi_14"] < 43.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 47.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_o_bull_3_2"
elif (last_candle["rsi_14"] < 39.0) and (last_candle["rsi_14_1h"] < 37.0):
return True, "sell_profit_o_bull_3_3"
elif (
(last_candle["rsi_14"] < 41.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 42.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_o_bull_2_4"
elif 0.03 > current_profit >= 0.02:
if last_candle["rsi_14"] < 34.0:
return True, "sell_profit_o_bull_2_1"
elif (
(last_candle["rsi_14"] < 39.0)
and (last_candle["cmf"] < -0.16)
and (last_candle["rsi_14_1h"] < 46.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_o_bull_2_2"
elif (last_candle["rsi_14"] < 35.0) and (last_candle["rsi_14_1h"] < 36.0):
return True, "sell_profit_o_bull_2_3"
elif (
(last_candle["rsi_14"] < 40.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 42.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_o_bull_2_4"
elif 0.02 > current_profit >= 0.012:
if last_candle["rsi_14"] < 32.0:
return True, "sell_profit_o_bull_1_1"
elif (
(last_candle["rsi_14"] < 37.0)
and (last_candle["cmf"] < -0.2)
and (last_candle["rsi_14_1h"] < 44.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_o_bull_1_2"
elif (last_candle["rsi_14"] < 33.0) and (last_candle["rsi_14_1h"] < 35.0):
return True, "sell_profit_o_bull_1_3"
elif (
(last_candle["rsi_14"] < 39.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 42.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_o_bull_1_4"
else:
if current_profit >= 0.20:
if last_candle["rsi_14"] < 31.0:
return True, "sell_profit_o_bear_12_1"
elif (
(last_candle["rsi_14"] < 36.0)
and (last_candle["cmf"] < -0.28)
and (last_candle["rsi_14_1h"] < 36.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_o_bear_12_2"
elif (last_candle["rsi_14"] < 32.0) and (last_candle["rsi_14_1h"] < 36.0):
return True, "sell_profit_o_bear_12_3"
elif (
(last_candle["rsi_14"] < 32.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 43.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_o_bear_12_4"
elif 0.20 > current_profit >= 0.12:
if last_candle["rsi_14"] < 33.0:
return True, "sell_profit_o_bear_11_1"
elif (
(last_candle["rsi_14"] < 38.0)
and (last_candle["cmf"] < -0.24)
and (last_candle["rsi_14_1h"] < 38.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_o_bear_11_2"
elif (last_candle["rsi_14"] < 34.0) and (last_candle["rsi_14_1h"] < 38.0):
return True, "sell_profit_o_bear_11_3"
elif (
(last_candle["rsi_14"] < 34.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 43.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_o_bear_11_4"
elif 0.12 > current_profit >= 0.10:
if last_candle["rsi_14"] < 41.0:
return True, "sell_profit_o_bear_10_1"
elif (
(last_candle["rsi_14"] < 46.0)
and (last_candle["cmf"] < -0.22)
and (last_candle["rsi_14_1h"] < 44.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_o_bear_10_2"
elif (last_candle["rsi_14"] < 42.0) and (last_candle["rsi_14_1h"] < 40.0):
return True, "sell_profit_o_bear_10_3"
elif (
(last_candle["rsi_14"] < 42.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 43.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_o_bear_10_4"
elif 0.10 > current_profit >= 0.09:
if last_candle["rsi_14"] < 48.0:
return True, "sell_profit_o_bear_9_1"
elif (
(last_candle["rsi_14"] < 57.0)
and (last_candle["cmf"] < -0.12)
and (last_candle["rsi_14_1h"] < 50.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_o_bear_9_2"
elif (last_candle["rsi_14"] < 52.0) and (last_candle["rsi_14_1h"] < 43.0):
return True, "sell_profit_o_bear_9_3"
elif (
(last_candle["rsi_14"] < 52.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 43.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_o_bear_9_4"
elif 0.09 > current_profit >= 0.08:
if last_candle["rsi_14"] < 47.0:
return True, "sell_profit_o_bear_8_1"
elif (
(last_candle["rsi_14"] < 56.0)
and (last_candle["cmf"] < -0.12)
and (last_candle["rsi_14_1h"] < 50.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_o_bear_8_2"
elif (last_candle["rsi_14"] < 51.0) and (last_candle["rsi_14_1h"] < 42.0):
return True, "sell_profit_o_bear_8_3"
elif (
(last_candle["rsi_14"] < 51.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 43.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_o_bear_8_4"
elif 0.08 > current_profit >= 0.07:
if last_candle["rsi_14"] < 46.0:
return True, "sell_profit_o_bear_7_1"
elif (
(last_candle["rsi_14"] < 55.0)
and (last_candle["cmf"] < -0.12)
and (last_candle["rsi_14_1h"] < 50.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_o_bear_7_2"
elif (last_candle["rsi_14"] < 50.0) and (last_candle["rsi_14_1h"] < 41.0):
return True, "sell_profit_o_bear_7_3"
elif (
(last_candle["rsi_14"] < 50.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 43.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_o_bear_7_4"
elif 0.07 > current_profit >= 0.06:
if last_candle["rsi_14"] < 45.0:
return True, "sell_profit_o_bear_6_1"
elif (
(last_candle["rsi_14"] < 54.0)
and (last_candle["cmf"] < -0.12)
and (last_candle["rsi_14_1h"] < 50.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_o_bear_6_2"
elif (last_candle["rsi_14"] < 48.0) and (last_candle["rsi_14_1h"] < 40.0):
return True, "sell_profit_o_bear_6_3"
elif (
(last_candle["rsi_14"] < 48.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 43.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_o_bear_6_4"
elif 0.06 > current_profit >= 0.05:
if last_candle["rsi_14"] < 44.0:
return True, "sell_profit_o_bear_5_1"
elif (
(last_candle["rsi_14"] < 53.0)
and (last_candle["cmf"] < -0.12)
and (last_candle["rsi_14_1h"] < 50.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_o_bear_5_2"
elif (last_candle["rsi_14"] < 46.0) and (last_candle["rsi_14_1h"] < 39.0):
return True, "sell_profit_o_bear_5_3"
elif (
(last_candle["rsi_14"] < 46.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 43.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_o_bear_5_4"
elif 0.05 > current_profit >= 0.04:
if last_candle["rsi_14"] < 43.0:
return True, "sell_profit_o_bear_4_1"
elif (
(last_candle["rsi_14"] < 52.0)
and (last_candle["cmf"] < -0.13)
and (last_candle["rsi_14_1h"] < 49.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_o_bear_4_2"
elif (last_candle["rsi_14"] < 44.0) and (last_candle["rsi_14_1h"] < 38.0):
return True, "sell_profit_o_bear_4_3"
elif (
(last_candle["rsi_14"] < 44.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 43.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_o_bear_4_4"
elif 0.04 > current_profit >= 0.03:
if last_candle["rsi_14"] < 39.0:
return True, "sell_profit_o_bear_3_1"
elif (
(last_candle["rsi_14"] < 51.0)
and (last_candle["cmf"] < -0.14)
and (last_candle["rsi_14_1h"] < 48.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_o_bear_3_2"
elif (last_candle["rsi_14"] < 40.0) and (last_candle["rsi_14_1h"] < 37.0):
return True, "sell_profit_o_bear_3_3"
elif (
(last_candle["rsi_14"] < 42.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 43.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_o_bear_3_4"
elif 0.03 > current_profit >= 0.02:
if last_candle["rsi_14"] < 35.0:
return True, "sell_profit_o_bear_2_1"
elif (
(last_candle["rsi_14"] < 50.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 47.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_o_bear_2_2"
elif (last_candle["rsi_14"] < 36.0) and (last_candle["rsi_14_1h"] < 36.0):
return True, "sell_profit_o_bear_2_3"
elif (
(last_candle["rsi_14"] < 41.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 43.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_o_bear_2_4"
elif 0.02 > current_profit >= 0.012:
if last_candle["rsi_14"] < 33.0:
return True, "sell_profit_o_bear_1_1"
elif (
(last_candle["rsi_14"] < 38.0)
and (last_candle["cmf"] < -0.2)
and (last_candle["rsi_14_1h"] < 45.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_o_bear_1_2"
elif (last_candle["rsi_14"] < 34.0) and (last_candle["rsi_14_1h"] < 35.0):
return True, "sell_profit_o_bear_1_3"
elif (
(last_candle["rsi_14"] < 40.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 43.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_o_bear_1_4"
return False, None
def sell_under_main(self, current_profit: float, last_candle) -> tuple:
if last_candle["close"] < last_candle["ema_200"]:
if last_candle["moderi_96"]:
if current_profit >= 0.20:
if last_candle["rsi_14"] < 31.0:
return True, "signal_profit_u_bull_12_1"
elif (
(last_candle["rsi_14"] < 32.0)
and (last_candle["cmf"] < -0.28)
and (last_candle["rsi_14_1h"] < 36.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_u_bull_12_2"
elif (last_candle["rsi_14"] < 33.0) and (last_candle["rsi_14_1h"] < 36.0):
return True, "sell_profit_u_bull_12_3"
elif (
(last_candle["rsi_14"] < 32.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 43.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_u_bull_12_4"
elif 0.20 > current_profit >= 0.12:
if last_candle["rsi_14"] < 33.0:
return True, "sell_profit_u_bull_11_1"
elif (
(last_candle["rsi_14"] < 38.0)
and (last_candle["cmf"] < -0.24)
and (last_candle["rsi_14_1h"] < 38.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_u_bull_11_2"
elif (last_candle["rsi_14"] < 34.0) and (last_candle["rsi_14_1h"] < 38.0):
return True, "sell_profit_u_bull_11_3"
elif (
(last_candle["rsi_14"] < 34.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 43.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_u_bull_11_4"
elif 0.12 > current_profit >= 0.10:
if last_candle["rsi_14"] < 41.0:
return True, "sell_profit_u_bull_10_1"
elif (
(last_candle["rsi_14"] < 46.0)
and (last_candle["cmf"] < -0.22)
and (last_candle["rsi_14_1h"] < 44.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_u_bull_10_2"
elif (last_candle["rsi_14"] < 42.0) and (last_candle["rsi_14_1h"] < 40.0):
return True, "sell_profit_u_bull_10_3"
elif (
(last_candle["rsi_14"] < 42.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 43.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_u_bull_10_4"
elif 0.10 > current_profit >= 0.09:
if last_candle["rsi_14"] < 48.0:
return True, "sell_profit_u_bull_9_1"
elif (
(last_candle["rsi_14"] < 55.0)
and (last_candle["cmf"] < -0.12)
and (last_candle["rsi_14_1h"] < 50.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_u_bull_9_2"
elif (last_candle["rsi_14"] < 52.0) and (last_candle["rsi_14_1h"] < 43.0):
return True, "sell_profit_u_bull_9_3"
elif (
(last_candle["rsi_14"] < 52.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 43.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_u_bull_9_4"
elif 0.09 > current_profit >= 0.08:
if last_candle["rsi_14"] < 47.0:
return True, "sell_profit_u_bull_8_1"
elif (
(last_candle["rsi_14"] < 54.0)
and (last_candle["cmf"] < -0.12)
and (last_candle["rsi_14_1h"] < 50.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_u_bull_8_2"
elif (last_candle["rsi_14"] < 51.0) and (last_candle["rsi_14_1h"] < 42.0):
return True, "sell_profit_u_bull_8_3"
elif (
(last_candle["rsi_14"] < 51.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 43.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_u_bull_8_4"
elif 0.08 > current_profit >= 0.07:
if last_candle["rsi_14"] < 46.0:
return True, "sell_profit_u_bull_7_1"
elif (
(last_candle["rsi_14"] < 53.0)
and (last_candle["cmf"] < -0.12)
and (last_candle["rsi_14_1h"] < 50.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_u_bull_7_2"
elif (last_candle["rsi_14"] < 50.0) and (last_candle["rsi_14_1h"] < 41.0):
return True, "sell_profit_u_bull_7_3"
elif (
(last_candle["rsi_14"] < 50.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 43.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_u_bull_7_4"
elif 0.07 > current_profit >= 0.06:
if last_candle["rsi_14"] < 45.0:
return True, "sell_profit_u_bull_6_1"
elif (
(last_candle["rsi_14"] < 52.0)
and (last_candle["cmf"] < -0.12)
and (last_candle["rsi_14_1h"] < 50.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_u_bull_6_2"
elif (last_candle["rsi_14"] < 48.0) and (last_candle["rsi_14_1h"] < 40.0):
return True, "sell_profit_u_bull_6_3"
elif (
(last_candle["rsi_14"] < 48.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 43.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_u_bull_6_4"
elif 0.06 > current_profit >= 0.05:
if last_candle["rsi_14"] < 44.0:
return True, "sell_profit_u_bull_5_1"
elif (
(last_candle["rsi_14"] < 50.0)
and (last_candle["cmf"] < -0.13)
and (last_candle["rsi_14_1h"] < 50.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_u_bull_5_2"
elif (last_candle["rsi_14"] < 46.0) and (last_candle["rsi_14_1h"] < 39.0):
return True, "sell_profit_u_bull_5_3"
elif (
(last_candle["rsi_14"] < 46.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 43.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_u_bull_5_4"
elif 0.05 > current_profit >= 0.04:
if last_candle["rsi_14"] < 43.0:
return True, "sell_profit_u_bull_4_1"
elif (
(last_candle["rsi_14"] < 48.0)
and (last_candle["cmf"] < -0.14)
and (last_candle["rsi_14_1h"] < 49.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_u_bull_4_2"
elif (last_candle["rsi_14"] < 44.0) and (last_candle["rsi_14_1h"] < 38.0):
return True, "sell_profit_u_bull_4_3"
elif (
(last_candle["rsi_14"] < 44.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 43.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_u_bull_4_4"
elif 0.04 > current_profit >= 0.03:
if last_candle["rsi_14"] < 39.0:
return True, "sell_profit_u_bull_3_1"
elif (
(last_candle["rsi_14"] < 44.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 48.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_u_bull_3_2"
elif (last_candle["rsi_14"] < 40.0) and (last_candle["rsi_14_1h"] < 37.0):
return True, "sell_profit_u_bull_3_3"
elif (
(last_candle["rsi_14"] < 42.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 43.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_u_bull_3_4"
elif 0.03 > current_profit >= 0.02:
if last_candle["rsi_14"] < 35.0:
return True, "sell_profit_u_bull_2_1"
elif (
(last_candle["rsi_14"] < 40.0)
and (last_candle["cmf"] < -0.16)
and (last_candle["rsi_14_1h"] < 47.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_u_bull_2_2"
elif (last_candle["rsi_14"] < 36.0) and (last_candle["rsi_14_1h"] < 36.0):
return True, "sell_profit_u_bull_2_3"
elif (
(last_candle["rsi_14"] < 41.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 43.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_u_bull_2_4"
elif 0.02 > current_profit >= 0.01:
if last_candle["rsi_14"] < 33.0:
return True, "sell_profit_u_bull_1_1"
elif (
(last_candle["rsi_14"] < 38.0)
and (last_candle["cmf"] < -0.2)
and (last_candle["rsi_14_1h"] < 45.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_u_bull_1_2"
elif (last_candle["rsi_14"] < 34.0) and (last_candle["rsi_14_1h"] < 35.0):
return True, "sell_profit_u_bull_1_3"
elif (
(last_candle["rsi_14"] < 40.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 43.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_u_bull_1_4"
else:
if current_profit >= 0.20:
if last_candle["rsi_14"] < 32.0:
return True, "sell_profit_u_bear_12_1"
elif (
(last_candle["rsi_14"] < 37.0)
and (last_candle["cmf"] < -0.28)
and (last_candle["rsi_14_1h"] < 37.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_u_bear_12_2"
elif (last_candle["rsi_14"] < 33.0) and (last_candle["rsi_14_1h"] < 36.0):
return True, "sell_profit_u_bear_12_3"
elif (
(last_candle["rsi_14"] < 33.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 44.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_u_bear_12_4"
elif 0.20 > current_profit >= 0.12:
if last_candle["rsi_14"] < 34.0:
return True, "sell_profit_u_bear_11_1"
elif (
(last_candle["rsi_14"] < 39.0)
and (last_candle["cmf"] < -0.24)
and (last_candle["rsi_14_1h"] < 39.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_u_bear_11_2"
elif (last_candle["rsi_14"] < 35.0) and (last_candle["rsi_14_1h"] < 38.0):
return True, "sell_profit_u_bear_11_3"
elif (
(last_candle["rsi_14"] < 35.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 44.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_u_bear_11_4"
elif 0.12 > current_profit >= 0.10:
if last_candle["rsi_14"] < 42.0:
return True, "sell_profit_u_bear_10_1"
elif (
(last_candle["rsi_14"] < 47.0)
and (last_candle["cmf"] < -0.22)
and (last_candle["rsi_14_1h"] < 45.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_u_bear_10_2"
elif (last_candle["rsi_14"] < 43.0) and (last_candle["rsi_14_1h"] < 40.0):
return True, "sell_profit_u_bear_10_3"
elif (
(last_candle["rsi_14"] < 48.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 44.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_u_bear_10_4"
elif 0.10 > current_profit >= 0.09:
if last_candle["rsi_14"] < 49.0:
return True, "sell_profit_u_bear_9_1"
elif (
(last_candle["rsi_14"] < 58.0)
and (last_candle["cmf"] < -0.12)
and (last_candle["rsi_14_1h"] < 51.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_o_bear_9_2"
elif (last_candle["rsi_14"] < 55.0) and (last_candle["rsi_14_1h"] < 43.0):
return True, "sell_profit_u_bear_9_3"
elif (
(last_candle["rsi_14"] < 55.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 44.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_u_bear_9_4"
elif 0.09 > current_profit >= 0.08:
if last_candle["rsi_14"] < 48.0:
return True, "sell_profit_u_bear_8_1"
elif (
(last_candle["rsi_14"] < 57.0)
and (last_candle["cmf"] < -0.12)
and (last_candle["rsi_14_1h"] < 51.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_u_bear_8_2"
elif (last_candle["rsi_14"] < 53.0) and (last_candle["rsi_14_1h"] < 42.0):
return True, "sell_profit_u_bear_8_3"
elif (
(last_candle["rsi_14"] < 53.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 44.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_u_bear_8_4"
elif 0.08 > current_profit >= 0.07:
if last_candle["rsi_14"] < 47.0:
return True, "sell_profit_u_bear_7_1"
elif (
(last_candle["rsi_14"] < 56.0)
and (last_candle["cmf"] < -0.12)
and (last_candle["rsi_14_1h"] < 51.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_u_bear_7_2"
elif (last_candle["rsi_14"] < 51.0) and (last_candle["rsi_14_1h"] < 41.0):
return True, "sell_profit_u_bear_7_3"
elif (
(last_candle["rsi_14"] < 51.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 44.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_u_bear_7_4"
elif 0.07 > current_profit >= 0.06:
if last_candle["rsi_14"] < 46.0:
return True, "sell_profit_u_bear_6_1"
elif (
(last_candle["rsi_14"] < 55.0)
and (last_candle["cmf"] < -0.12)
and (last_candle["rsi_14_1h"] < 51.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_u_bear_6_2"
elif (last_candle["rsi_14"] < 49.0) and (last_candle["rsi_14_1h"] < 40.0):
return True, "sell_profit_u_bear_6_3"
elif (
(last_candle["rsi_14"] < 49.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 44.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_u_bear_6_4"
elif 0.06 > current_profit >= 0.05:
if last_candle["rsi_14"] < 45.0:
return True, "sell_profit_u_bear_5_1"
elif (
(last_candle["rsi_14"] < 54.0)
and (last_candle["cmf"] < -0.12)
and (last_candle["rsi_14_1h"] < 51.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_u_bear_5_2"
elif (last_candle["rsi_14"] < 47.0) and (last_candle["rsi_14_1h"] < 39.0):
return True, "sell_profit_u_bear_5_3"
elif (
(last_candle["rsi_14"] < 47.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 44.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_u_bear_5_4"
elif 0.05 > current_profit >= 0.04:
if last_candle["rsi_14"] < 44.0:
return True, "sell_profit_u_bear_4_1"
elif (
(last_candle["rsi_14"] < 53.0)
and (last_candle["cmf"] < -0.13)
and (last_candle["rsi_14_1h"] < 50.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_u_bear_4_2"
elif (last_candle["rsi_14"] < 45.0) and (last_candle["rsi_14_1h"] < 38.0):
return True, "sell_profit_u_bear_4_3"
elif (
(last_candle["rsi_14"] < 45.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 44.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_u_bear_4_4"
elif 0.04 > current_profit >= 0.03:
if last_candle["rsi_14"] < 40.0:
return True, "sell_profit_u_bear_3_1"
elif (
(last_candle["rsi_14"] < 52.0)
and (last_candle["cmf"] < -0.14)
and (last_candle["rsi_14_1h"] < 49.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_u_bear_3_2"
elif (last_candle["rsi_14"] < 41.0) and (last_candle["rsi_14_1h"] < 37.0):
return True, "sell_profit_u_bear_3_3"
elif (
(last_candle["rsi_14"] < 43.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 44.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_u_bear_3_4"
elif 0.03 > current_profit >= 0.02:
if last_candle["rsi_14"] < 36.0:
return True, "sell_profit_u_bear_2_1"
elif (
(last_candle["rsi_14"] < 51.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 48.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_u_bear_2_2"
elif (last_candle["rsi_14"] < 37.0) and (last_candle["rsi_14_1h"] < 36.0):
return True, "sell_profit_u_bear_2_3"
elif (
(last_candle["rsi_14"] < 42.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 44.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_u_bear_2_4"
elif 0.02 > current_profit >= 0.01:
if last_candle["rsi_14"] < 34.0:
return True, "sell_profit_u_bear_1_1"
elif (
(last_candle["rsi_14"] < 39.0)
and (last_candle["cmf"] < -0.2)
and (last_candle["rsi_14_1h"] < 46.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
):
return True, "sell_profit_u_bear_1_2"
elif (last_candle["rsi_14"] < 35.0) and (last_candle["rsi_14_1h"] < 35.0):
return True, "sell_profit_u_bear_1_3"
elif (
(last_candle["rsi_14"] < 41.0)
and (last_candle["cmf"] < -0.15)
and (last_candle["rsi_14_1h"] < 44.0)
and (last_candle["ema_12"] < last_candle["ema_26"])
and (last_candle["ema_25"] < last_candle["ema_50"])
and (last_candle["close"] < last_candle["sup_level_1h"])
):
return True, "sell_profit_u_bear_1_4"
return False, None
def sell_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, "sell_profit_w_1_1"
elif (last_candle["r_480"] > -4.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["cti"] > 0.9):
return True, "sell_profit_w_1_2"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] < 44.0):
return True, "sell_profit_w_1_3"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 79.0):
return True, "sell_profit_w_1_4"
elif (last_candle["r_14"] > -5.0) and (last_candle["cti"] > 0.96):
return True, "sell_profit_w_1_5"
elif (last_candle["r_480"] > -4.0) and (last_candle["rsi_14"] > 79.0) and (last_candle["r_480_1h"] > -3.0):
return True, "sell_profit_w_1_6"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["cci"] > 320.0):
return True, "sell_profit_w_1_7"
elif (
(last_candle["r_14"] > -0.1)
and (last_candle["rsi_14"] > 78.0)
and (last_candle["cci"] > 220.0)
and (last_candle["cti_1h"] < -0.85)
):
return True, "sell_profit_w_1_8"
elif (
(last_candle["r_14"] >= -0.1)
and (last_candle["rsi_14"] > 76.0)
and (last_candle["cti"] > 0.88)
and (last_candle["cci"] > 190.0)
and (last_candle["r_480_1h"] > -8.0)
):
return True, "sell_profit_w_1_9"
elif (last_candle["r_480"] < -65.0) and (last_candle["cti"] > 0.95) and (last_candle["rsi_14"] > 75.0):
return True, "sell_profit_w_1_10"
elif (
(last_candle["r_14"] > -2.0)
and (last_candle["rsi_14"] > 76.0)
and (last_candle["cti"] > 0.9)
and (last_candle["cci"] > 150.0)
and (last_candle["r_480"] < -50.0)
and (last_candle["cmf_1h"] < -0.1)
):
return True, "sell_profit_w_1_11"
elif (last_candle["r_14"] > -0.1) and (last_candle["rsi_14"] < 46.0) and (last_candle["cmf_1h"] < -0.25):
return True, "sell_profit_w_1_12"
elif (
(last_candle["r_14"] >= -1.0)
and (last_candle["rsi_14"] > 79.0)
and (last_candle["cci"] > 400.0)
and (last_candle["cmf_1h"] < -0.0)
):
return True, "sell_profit_w_1_13"
elif (
(last_candle["r_14"] > -1.0)
and (last_candle["rsi_14"] > 79.0)
and (last_candle["cci"] > 320.0)
and (last_candle["hl_pct_change_48_1h"] > 0.5)
):
return True, "sell_profit_w_1_14"
elif (
(last_candle["r_14"] > -6.0)
and (last_candle["r_480_1h"] > -12.0)
and (last_candle["rsi_14"] > 79.5)
and (last_candle["cci"] > 320.0)
):
return True, "sell_profit_w_1_15"
elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] < 40.0) and (last_candle["rsi_14_1h"] < 42.0):
return True, "sell_profit_w_1_16"
elif (
(last_candle["r_14"] > -6.0)
and (last_candle["rsi_14"] < 48.0)
and (last_candle["r_480"] < -50.0)
and (last_candle["close"] < last_candle["ema_200"])
and (last_candle["rsi_14_1h"] < 38.0)
):
return True, "sell_profit_w_1_17"
elif (
(last_candle["r_14"] > -0.1)
and (last_candle["rsi_14"] > 71.0)
and (last_candle["cti"] > 0.8)
and (last_candle["cci"] > 220.0)
and (last_candle["cmf_1h"] < -0.0)
and (current_time - timedelta(minutes=720) > trade.open_date_utc)
):
return True, "sell_profit_w_1_18"
elif (
(last_candle["r_96"] > -4.0)
and (last_candle["rsi_14"] > 77.0)
and (last_candle["cci"] > 220.0)
and (last_candle["r_480_1h"] > -6.0)
and (last_candle["rsi_14_1h"] > 74.0)
):
return True, "sell_profit_w_1_19"
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"] > 0.88)
):
return True, "sell_profit_w_1_20"
elif (last_candle["r_14"] > -2.0) and (last_candle["r_32"] > -3.0) and (last_candle["rsi_14"] > 79.0):
return True, "sell_profit_w_1_21"
elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 77.0) and (last_candle["r_480_1h"] > -25.0):
return True, "sell_profit_w_1_22"
elif (
(last_candle["r_24"] > -5.0)
and (last_candle["r_32"] > -5.0)
and (last_candle["r_64"] > -4.0)
and (last_candle["rsi_14"] > 72.0)
and (last_candle["cti"] > 0.8)
):
return True, "sell_profit_w_1_23"
elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 79.0) and (last_candle["cci"] > 400.0):
return True, "sell_profit_w_1_24"
elif 0.03 > current_profit >= 0.02:
if last_candle["r_480"] > -0.5:
return True, "sell_profit_w_2_1"
elif (last_candle["r_480"] > -4.5) and (last_candle["rsi_14"] > 78.0) and (last_candle["cti"] > 0.9):
return True, "sell_profit_w_2_2"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] < 46.0):
return True, "sell_profit_w_2_3"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 78.5):
return True, "sell_profit_w_2_4"
elif (last_candle["r_14"] > -5.0) and (last_candle["cti"] > 0.958):
return True, "sell_profit_w_2_5"
elif (last_candle["r_480"] > -5.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["r_480_1h"] > -3.5):
return True, "sell_profit_w_2_6"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 77.0) and (last_candle["cci"] > 320.0):
return True, "sell_profit_w_2_7"
elif (
(last_candle["r_14"] > -0.2)
and (last_candle["rsi_14"] > 77.0)
and (last_candle["cci"] > 220.0)
and (last_candle["cti_1h"] < -0.85)
):
return True, "sell_profit_w_2_8"
elif (
(last_candle["r_14"] >= -0.1)
and (last_candle["rsi_14"] > 74.0)
and (last_candle["cti"] > 0.86)
and (last_candle["cci"] > 180.0)
and (last_candle["r_480_1h"] > -10.0)
):
return True, "sell_profit_w_2_9"
elif (last_candle["r_480"] < -65.0) and (last_candle["cti"] > 0.93) and (last_candle["rsi_14"] > 73.0):
return True, "sell_profit_w_2_10"
elif (
(last_candle["r_14"] > -2.0)
and (last_candle["rsi_14"] > 74.0)
and (last_candle["cti"] > 0.88)
and (last_candle["cci"] > 140.0)
and (last_candle["r_480"] < -50.0)
and (last_candle["cmf_1h"] < -0.1)
):
return True, "sell_profit_w_2_11"
elif (last_candle["r_14"] > -0.5) and (last_candle["rsi_14"] < 48.0) and (last_candle["cmf_1h"] < -0.23):
return True, "sell_profit_w_2_12"
elif (
(last_candle["r_14"] >= -3.0)
and (last_candle["rsi_14"] > 78.0)
and (last_candle["cci"] > 360.0)
and (last_candle["cmf_1h"] < -0.0)
):
return True, "sell_profit_w_2_13"
elif (
(last_candle["r_14"] > -2.0)
and (last_candle["rsi_14"] > 76.0)
and (last_candle["cci"] > 280.0)
and (last_candle["hl_pct_change_48_1h"] > 0.5)
):
return True, "sell_profit_w_2_14"
elif (
(last_candle["r_14"] > -8.0)
and (last_candle["r_480_1h"] > -14.0)
and (last_candle["rsi_14"] > 79.0)
and (last_candle["cci"] > 310.0)
):
return True, "sell_profit_w_2_15"
elif (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] < 44.0) and (last_candle["rsi_14_1h"] < 44.0):
return True, "sell_profit_w_2_16"
elif (
(last_candle["r_14"] > -8.0)
and (last_candle["rsi_14"] < 52.0)
and (last_candle["r_480"] < -50.0)
and (last_candle["close"] < last_candle["ema_200"])
and (last_candle["rsi_14_1h"] < 42.0)
):
return True, "sell_profit_w_2_17"
elif (
(last_candle["r_14"] > -1.0)
and (last_candle["rsi_14"] > 67.0)
and (last_candle["cti"] > 0.8)
and (last_candle["cci"] > 200.0)
and (last_candle["cmf_1h"] < -0.0)
and (current_time - timedelta(minutes=720) > trade.open_date_utc)
):
return True, "sell_profit_w_2_18"
elif (
(last_candle["r_96"] > -8.0)
and (last_candle["rsi_14"] > 75.0)
and (last_candle["cci"] > 200.0)
and (last_candle["r_480_1h"] > -10.0)
and (last_candle["rsi_14_1h"] > 72.0)
):
return True, "sell_profit_w_2_19"
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"] > 0.87)
):
return True, "sell_profit_w_2_20"
elif (last_candle["r_14"] > -2.0) and (last_candle["r_32"] > -3.0) and (last_candle["rsi_14"] > 78.0):
return True, "sell_profit_w_2_21"
elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 75.0) and (last_candle["r_480_1h"] > -25.0):
return True, "sell_profit_w_2_22"
elif (
(last_candle["r_24"] > -6.0)
and (last_candle["r_32"] > -6.0)
and (last_candle["r_64"] > -5.0)
and (last_candle["rsi_14"] > 70.0)
and (last_candle["cti"] > 0.8)
):
return True, "sell_profit_w_2_23"
elif (last_candle["r_14"] > -3.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["cci"] > 400.0):
return True, "sell_profit_w_2_24"
elif 0.04 > current_profit >= 0.03:
if last_candle["r_480"] > -0.6:
return True, "sell_profit_w_3_1"
elif (last_candle["r_480"] > -5.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["cti"] > 0.9):
return True, "sell_profit_w_3_2"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] < 48.0):
return True, "sell_profit_w_3_3"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 78.0):
return True, "sell_profit_w_3_4"
elif (last_candle["r_14"] > -5.0) and (last_candle["cti"] > 0.956):
return True, "sell_profit_w_3_5"
elif (last_candle["r_480"] > -6.0) and (last_candle["rsi_14"] > 76.0) and (last_candle["r_480_1h"] > -4.0):
return True, "sell_profit_w_3_6"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 76.0) and (last_candle["cci"] > 320.0):
return True, "sell_profit_w_3_7"
elif (
(last_candle["r_14"] > -0.4)
and (last_candle["rsi_14"] > 74.0)
and (last_candle["cci"] > 220.0)
and (last_candle["cti_1h"] < -0.85)
):
return True, "sell_profit_w_3_8"
elif (
(last_candle["r_14"] >= -0.1)
and (last_candle["rsi_14"] > 72.0)
and (last_candle["cti"] > 0.84)
and (last_candle["cci"] > 170.0)
and (last_candle["r_480_1h"] > -12.0)
):
return True, "sell_profit_w_3_9"
elif (last_candle["r_480"] < -65.0) and (last_candle["cti"] > 0.92) and (last_candle["rsi_14"] > 72.0):
return True, "sell_profit_w_3_10"
elif (
(last_candle["r_14"] > -2.0)
and (last_candle["rsi_14"] > 72.0)
and (last_candle["cti"] > 0.87)
and (last_candle["cci"] > 130.0)
and (last_candle["r_480"] < -50.0)
and (last_candle["cmf_1h"] < -0.1)
):
return True, "sell_profit_w_3_11"
elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] < 50.0) and (last_candle["cmf_1h"] < -0.22):
return True, "sell_profit_w_3_12"
elif (
(last_candle["r_14"] >= -6.0)
and (last_candle["rsi_14"] > 76.0)
and (last_candle["cci"] > 320.0)
and (last_candle["cmf_1h"] < -0.0)
):
return True, "sell_profit_w_3_13"
elif (
(last_candle["r_14"] > -3.0)
and (last_candle["rsi_14"] > 72.0)
and (last_candle["cci"] > 260.0)
and (last_candle["hl_pct_change_48_1h"] > 0.5)
):
return True, "sell_profit_w_3_14"
elif (
(last_candle["r_14"] > -10.0)
and (last_candle["r_480_1h"] > -16.0)
and (last_candle["rsi_14"] > 78.0)
and (last_candle["cci"] > 300.0)
):
return True, "sell_profit_w_3_15"
elif (last_candle["r_14"] > -3.0) and (last_candle["rsi_14"] < 48.0) and (last_candle["rsi_14_1h"] < 46.0):
return True, "sell_profit_w_3_16"
elif (
(last_candle["r_14"] > -10.0)
and (last_candle["rsi_14"] < 56.0)
and (last_candle["r_480"] < -50.0)
and (last_candle["close"] < last_candle["ema_200"])
and (last_candle["rsi_14_1h"] < 46.0)
):
return True, "sell_profit_w_3_17"
elif (
(last_candle["r_14"] > -2.0)
and (last_candle["rsi_14"] > 63.0)
and (last_candle["cti"] > 0.8)
and (last_candle["cci"] > 180.0)
and (last_candle["cmf_1h"] < -0.0)
and (current_time - timedelta(minutes=720) > trade.open_date_utc)
):
return True, "sell_profit_w_3_18"
elif (
(last_candle["r_96"] > -12.0)
and (last_candle["rsi_14"] > 73.0)
and (last_candle["cci"] > 190.0)
and (last_candle["r_480_1h"] > -14.0)
and (last_candle["rsi_14_1h"] > 70.0)
):
return True, "sell_profit_w_3_19"
elif (
(last_candle["r_14"] > -1.0)
and (last_candle["r_32"] > -1.0)
and (last_candle["rsi_14"] > 76.0)
and (last_candle["cti"] > 0.86)
):
return True, "sell_profit_w_3_20"
elif (last_candle["r_14"] > -2.0) and (last_candle["r_32"] > -3.0) and (last_candle["rsi_14"] > 77.0):
return True, "sell_profit_w_3_21"
elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 73.0) and (last_candle["r_480_1h"] > -25.0):
return True, "sell_profit_w_3_22"
elif (
(last_candle["r_24"] > -7.0)
and (last_candle["r_32"] > -7.0)
and (last_candle["r_64"] > -6.0)
and (last_candle["rsi_14"] > 68.0)
and (last_candle["cti"] > 0.8)
):
return True, "sell_profit_w_3_23"
elif (last_candle["r_14"] > -5.0) and (last_candle["rsi_14"] > 77.0) and (last_candle["cci"] > 400.0):
return True, "sell_profit_w_3_24"
elif 0.05 > current_profit >= 0.04:
if last_candle["r_480"] > -0.7:
return True, "sell_profit_w_4_1"
elif (last_candle["r_480"] > -5.5) and (last_candle["rsi_14"] > 78.0) and (last_candle["cti"] > 0.9):
return True, "sell_profit_w_4_2"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] < 50.0):
return True, "sell_profit_w_4_3"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 77.5):
return True, "sell_profit_w_4_4"
elif (last_candle["r_14"] > -5.0) and (last_candle["cti"] > 0.954):
return True, "sell_profit_w_4_5"
elif (last_candle["r_480"] > -7.0) and (last_candle["rsi_14"] > 74.0) and (last_candle["r_480_1h"] > -4.5):
return True, "sell_profit_w_4_6"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 75.5) and (last_candle["cci"] > 320.0):
return True, "sell_profit_w_4_7"
elif (
(last_candle["r_14"] > -0.5)
and (last_candle["rsi_14"] > 71.0)
and (last_candle["cci"] > 220.0)
and (last_candle["cti_1h"] < -0.85)
):
return True, "sell_profit_w_4_8"
elif (
(last_candle["r_14"] >= -0.1)
and (last_candle["rsi_14"] > 70.0)
and (last_candle["cti"] > 0.83)
and (last_candle["cci"] > 170.0)
and (last_candle["r_480_1h"] > -13.0)
):
return True, "sell_profit_w_4_9"
elif (last_candle["r_480"] < -65.0) and (last_candle["cti"] > 0.91) and (last_candle["rsi_14"] > 71.0):
return True, "sell_profit_w_4_10"
elif (
(last_candle["r_14"] > -2.0)
and (last_candle["rsi_14"] > 71.0)
and (last_candle["cti"] > 0.86)
and (last_candle["cci"] > 120.0)
and (last_candle["r_480"] < -50.0)
and (last_candle["cmf_1h"] < -0.1)
):
return True, "sell_profit_w_4_11"
elif (last_candle["r_14"] > -1.5) and (last_candle["rsi_14"] < 54.0) and (last_candle["cmf_1h"] < -0.21):
return True, "sell_profit_w_4_12"
elif (
(last_candle["r_14"] >= -9.0)
and (last_candle["rsi_14"] > 74.0)
and (last_candle["cci"] > 280.0)
and (last_candle["cmf_1h"] < -0.0)
):
return True, "sell_profit_w_4_13"
elif (
(last_candle["r_14"] > -4.0)
and (last_candle["rsi_14"] > 68.0)
and (last_candle["cci"] > 220.0)
and (last_candle["hl_pct_change_48_1h"] > 0.5)
):
return True, "sell_profit_w_4_14"
elif (
(last_candle["r_14"] > -12.0)
and (last_candle["r_480_1h"] > -18.0)
and (last_candle["rsi_14"] > 77.0)
and (last_candle["cci"] > 290.0)
):
return True, "sell_profit_w_4_15"
elif (last_candle["r_14"] > -4.0) and (last_candle["rsi_14"] < 52.0) and (last_candle["rsi_14_1h"] < 48.0):
return True, "sell_profit_w_4_16"
elif (
(last_candle["r_14"] > -10.0)
and (last_candle["rsi_14"] < 57.0)
and (last_candle["r_480"] < -50.0)
and (last_candle["close"] < last_candle["ema_200"])
and (last_candle["rsi_14_1h"] < 47.0)
):
return True, "sell_profit_w_4_17"
elif (
(last_candle["r_14"] > -2.0)
and (last_candle["rsi_14"] > 66.0)
and (last_candle["cti"] > 0.8)
and (last_candle["cci"] > 190.0)
and (last_candle["cmf_1h"] < -0.0)
and (current_time - timedelta(minutes=720) > trade.open_date_utc)
):
return True, "sell_profit_w_4_18"
elif (
(last_candle["r_96"] > -11.0)
and (last_candle["rsi_14"] > 74.0)
and (last_candle["cci"] > 200.0)
and (last_candle["r_480_1h"] > -13.0)
and (last_candle["rsi_14_1h"] > 70.0)
):
return True, "sell_profit_w_4_19"
elif (
(last_candle["r_14"] > -1.0)
and (last_candle["r_32"] > -1.0)
and (last_candle["rsi_14"] > 75.0)
and (last_candle["cti"] > 0.85)
):
return True, "sell_profit_w_4_20"
elif (last_candle["r_14"] > -2.0) and (last_candle["r_32"] > -3.0) and (last_candle["rsi_14"] > 76.0):
return True, "sell_profit_w_4_21"
elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 72.0) and (last_candle["r_480_1h"] > -25.0):
return True, "sell_profit_w_4_22"
elif (
(last_candle["r_24"] > -8.0)
and (last_candle["r_32"] > -8.0)
and (last_candle["r_64"] > -7.0)
and (last_candle["rsi_14"] > 66.0)
and (last_candle["cti"] > 0.8)
):
return True, "sell_profit_w_4_23"
elif (last_candle["r_14"] > -10.0) and (last_candle["rsi_14"] > 76.5) and (last_candle["cci"] > 400.0):
return True, "sell_profit_w_4_24"
elif 0.06 > current_profit >= 0.05:
if last_candle["r_480"] > -1.0:
return True, "sell_profit_w_5_1"
elif (last_candle["r_480"] > -6.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["cti"] > 0.9):
return True, "sell_profit_w_5_2"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] < 52.0):
return True, "sell_profit_w_5_3"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 77.0):
return True, "sell_profit_w_5_4"
elif (last_candle["r_14"] > -5.0) and (last_candle["cti"] > 0.952):
return True, "sell_profit_w_5_5"
elif (last_candle["r_480"] > -8.0) and (last_candle["rsi_14"] > 72.0) and (last_candle["r_480_1h"] > -5.0):
return True, "sell_profit_w_5_6"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 75.0) and (last_candle["cci"] > 320.0):
return True, "sell_profit_w_5_7"
elif (
(last_candle["r_14"] > -0.6)
and (last_candle["rsi_14"] > 68.0)
and (last_candle["cci"] > 220.0)
and (last_candle["cti_1h"] < -0.85)
):
return True, "sell_profit_w_5_8"
elif (
(last_candle["r_14"] >= -0.1)
and (last_candle["rsi_14"] > 69.0)
and (last_candle["cti"] > 0.82)
and (last_candle["cci"] > 170.0)
and (last_candle["r_480_1h"] > -14.0)
):
return True, "sell_profit_w_5_9"
elif (last_candle["r_480"] < -65.0) and (last_candle["cti"] > 0.92) and (last_candle["rsi_14"] > 72.0):
return True, "sell_profit_w_5_10"
elif (
(last_candle["r_14"] > -2.0)
and (last_candle["rsi_14"] > 70.0)
and (last_candle["cti"] > 0.85)
and (last_candle["cci"] > 120.0)
and (last_candle["r_480"] < -45.0)
and (last_candle["cmf_1h"] < -0.1)
):
return True, "sell_profit_w_5_11"
elif (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] < 56.0) and (last_candle["cmf_1h"] < -0.2):
return True, "sell_profit_w_5_12"
elif (
(last_candle["r_14"] >= -6.0)
and (last_candle["rsi_14"] > 75.0)
and (last_candle["cci"] > 300.0)
and (last_candle["cmf_1h"] < -0.0)
):
return True, "sell_profit_w_5_13"
elif (
(last_candle["r_14"] > -3.0)
and (last_candle["rsi_14"] > 69.0)
and (last_candle["cci"] > 240.0)
and (last_candle["hl_pct_change_48_1h"] > 0.5)
):
return True, "sell_profit_w_5_14"
elif (
(last_candle["r_14"] > -14.0)
and (last_candle["r_480_1h"] > -20.0)
and (last_candle["rsi_14"] > 76.0)
and (last_candle["cci"] > 280.0)
):
return True, "sell_profit_w_5_15"
elif (last_candle["r_14"] > -5.0) and (last_candle["rsi_14"] < 56.0) and (last_candle["rsi_14_1h"] < 50.0):
return True, "sell_profit_w_5_16"
elif (
(last_candle["r_14"] > -8.0)
and (last_candle["rsi_14"] < 54.0)
and (last_candle["r_480"] < -50.0)
and (last_candle["close"] < last_candle["ema_200"])
and (last_candle["rsi_14_1h"] < 44.0)
):
return True, "sell_profit_w_5_17"
elif (
(last_candle["r_14"] > -2.0)
and (last_candle["rsi_14"] > 69.0)
and (last_candle["cti"] > 0.8)
and (last_candle["cci"] > 200.0)
and (last_candle["cmf_1h"] < -0.0)
and (current_time - timedelta(minutes=720) > trade.open_date_utc)
):
return True, "sell_profit_w_5_18"
elif (
(last_candle["r_96"] > -10.0)
and (last_candle["rsi_14"] > 74.0)
and (last_candle["cci"] > 200.0)
and (last_candle["r_480_1h"] > -12.0)
and (last_candle["rsi_14_1h"] > 72.0)
):
return True, "sell_profit_w_5_19"
elif (
(last_candle["r_14"] > -1.0)
and (last_candle["r_32"] > -1.0)
and (last_candle["rsi_14"] > 73.0)
and (last_candle["cti"] > 0.84)
):
return True, "sell_profit_w_5_20"
elif (last_candle["r_14"] > -2.5) and (last_candle["r_32"] > -3.0) and (last_candle["rsi_14"] > 75.0):
return True, "sell_profit_w_5_21"
elif (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] > 70.0) and (last_candle["r_480_1h"] > -25.0):
return True, "sell_profit_w_5_22"
elif (
(last_candle["r_24"] > -9.0)
and (last_candle["r_32"] > -9.0)
and (last_candle["r_64"] > -8.0)
and (last_candle["rsi_14"] > 64.0)
and (last_candle["cti"] > 0.8)
):
return True, "sell_profit_w_5_23"
elif (last_candle["r_14"] > -15.0) and (last_candle["rsi_14"] > 76.0) and (last_candle["cci"] > 400.0):
return True, "sell_profit_w_5_24"
elif 0.07 > current_profit >= 0.06:
if last_candle["r_480"] > -2.0:
return True, "sell_profit_w_6_1"
elif (last_candle["r_480"] > -6.5) and (last_candle["rsi_14"] > 78.0) and (last_candle["cti"] > 0.9):
return True, "sell_profit_w_6_2"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] < 53.0):
return True, "sell_profit_w_6_3"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 76.5):
return True, "sell_profit_w_6_4"
elif (last_candle["r_14"] > -5.0) and (last_candle["cti"] > 0.95):
return True, "sell_profit_w_6_5"
elif (last_candle["r_480"] > -10.0) and (last_candle["rsi_14"] > 70.0) and (last_candle["r_480_1h"] > -6.0):
return True, "sell_profit_w_6_6"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 74.5) and (last_candle["cci"] > 320.0):
return True, "sell_profit_w_6_7"
elif (
(last_candle["r_14"] > -0.7)
and (last_candle["rsi_14"] > 65.0)
and (last_candle["cci"] > 220.0)
and (last_candle["cti_1h"] < -0.85)
):
return True, "sell_profit_w_6_8"
elif (
(last_candle["r_14"] >= -0.1)
and (last_candle["rsi_14"] > 71.0)
and (last_candle["cti"] > 0.83)
and (last_candle["cci"] > 180.0)
and (last_candle["r_480_1h"] > -12.0)
):
return True, "sell_profit_w_6_9"
elif (last_candle["r_480"] < -65.0) and (last_candle["cti"] > 0.93) and (last_candle["rsi_14"] > 73.0):
return True, "sell_profit_w_6_10"
elif (
(last_candle["r_14"] > -2.0)
and (last_candle["rsi_14"] > 69.0)
and (last_candle["cti"] > 0.84)
and (last_candle["cci"] > 100.0)
and (last_candle["r_480"] < -45.0)
and (last_candle["cmf_1h"] < -0.1)
):
return True, "sell_profit_w_6_11"
elif (last_candle["r_14"] > -2.5) and (last_candle["rsi_14"] < 58.0) and (last_candle["cmf_1h"] < -0.19):
return True, "sell_profit_w_6_12"
elif (
(last_candle["r_14"] >= -4.0)
and (last_candle["rsi_14"] > 76.0)
and (last_candle["cci"] > 320.0)
and (last_candle["cmf_1h"] < -0.0)
):
return True, "sell_profit_w_6_13"
elif (
(last_candle["r_14"] > -2.0)
and (last_candle["rsi_14"] > 70.0)
and (last_candle["cci"] > 260.0)
and (last_candle["hl_pct_change_48_1h"] > 0.5)
):
return True, "sell_profit_w_6_14"
elif (
(last_candle["r_14"] > -12.0)
and (last_candle["r_480_1h"] > -18.0)
and (last_candle["rsi_14"] > 77.0)
and (last_candle["cci"] > 290.0)
):
return True, "sell_profit_w_6_15"
elif (last_candle["r_14"] > -4.0) and (last_candle["rsi_14"] < 52.0) and (last_candle["rsi_14_1h"] < 48.0):
return True, "sell_profit_w_6_16"
elif (
(last_candle["r_14"] > -7.0)
and (last_candle["rsi_14"] < 52.0)
and (last_candle["r_480"] < -50.0)
and (last_candle["close"] < last_candle["ema_200"])
and (last_candle["rsi_14_1h"] < 43.0)
):
return True, "sell_profit_w_6_17"
elif (
(last_candle["r_14"] > -1.0)
and (last_candle["rsi_14"] > 70.0)
and (last_candle["cti"] > 0.8)
and (last_candle["cci"] > 210.0)
and (last_candle["cmf_1h"] < -0.0)
and (current_time - timedelta(minutes=720) > trade.open_date_utc)
):
return True, "sell_profit_w_6_18"
elif (
(last_candle["r_96"] > -9.0)
and (last_candle["rsi_14"] > 75.0)
and (last_candle["cci"] > 210.0)
and (last_candle["r_480_1h"] > -11.0)
and (last_candle["rsi_14_1h"] > 72.0)
):
return True, "sell_profit_w_6_19"
elif (
(last_candle["r_14"] > -1.0)
and (last_candle["r_32"] > -1.0)
and (last_candle["rsi_14"] > 71.0)
and (last_candle["cti"] > 0.83)
):
return True, "sell_profit_w_6_20"
elif (last_candle["r_14"] > -2.5) and (last_candle["r_32"] > -3.0) and (last_candle["rsi_14"] > 73.5):
return True, "sell_profit_w_6_21"
elif (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] > 66.0) and (last_candle["r_480_1h"] > -25.0):
return True, "sell_profit_w_6_22"
elif (
(last_candle["r_24"] > -8.0)
and (last_candle["r_32"] > -8.0)
and (last_candle["r_64"] > -7.0)
and (last_candle["rsi_14"] > 66.0)
and (last_candle["cti"] > 0.8)
):
return True, "sell_profit_w_6_23"
elif (last_candle["r_14"] > -10.0) and (last_candle["rsi_14"] > 76.0) and (last_candle["cci"] > 400.0):
return True, "sell_profit_w_6_24"
elif 0.08 > current_profit >= 0.07:
if last_candle["r_480"] > -2.2:
return True, "sell_profit_w_7_1"
elif (last_candle["r_480"] > -7.0) and (last_candle["rsi_14"] > 79.0) and (last_candle["cti"] > 0.9):
return True, "sell_profit_w_7_2"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] < 52.0):
return True, "sell_profit_w_7_3"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 76.0):
return True, "sell_profit_w_7_4"
elif (last_candle["r_14"] > -5.0) and (last_candle["cti"] > 0.952):
return True, "sell_profit_w_7_5"
elif (last_candle["r_480"] > -12.0) and (last_candle["rsi_14"] > 68.0) and (last_candle["r_480_1h"] > -7.0):
return True, "sell_profit_w_7_6"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 74.0) and (last_candle["cci"] > 320.0):
return True, "sell_profit_w_7_7"
elif (
(last_candle["r_14"] > -0.8)
and (last_candle["rsi_14"] > 62.0)
and (last_candle["cci"] > 220.0)
and (last_candle["cti_1h"] < -0.85)
):
return True, "sell_profit_w_7_8"
elif (
(last_candle["r_14"] >= -0.1)
and (last_candle["rsi_14"] > 72.0)
and (last_candle["cti"] > 0.84)
and (last_candle["cci"] > 180.0)
and (last_candle["r_480_1h"] > -10.0)
):
return True, "sell_profit_w_7_9"
elif (last_candle["r_480"] < -65.0) and (last_candle["cti"] > 0.94) and (last_candle["rsi_14"] > 74.0):
return True, "sell_profit_w_7_10"
elif (
(last_candle["r_14"] > -2.0)
and (last_candle["rsi_14"] > 68.0)
and (last_candle["cti"] > 0.83)
and (last_candle["cci"] > 100.0)
and (last_candle["r_480"] < -45.0)
and (last_candle["cmf_1h"] < -0.1)
):
return True, "sell_profit_w_7_11"
elif (last_candle["r_14"] > -3.0) and (last_candle["rsi_14"] < 60.0) and (last_candle["cmf_1h"] < -0.18):
return True, "sell_profit_w_7_12"
elif (
(last_candle["r_14"] >= -2.0)
and (last_candle["rsi_14"] > 77.0)
and (last_candle["cci"] > 340.0)
and (last_candle["cmf_1h"] < -0.0)
):
return True, "sell_profit_w_7_13"
elif (
(last_candle["r_14"] > -1.0)
and (last_candle["rsi_14"] > 71.0)
and (last_candle["cci"] > 280.0)
and (last_candle["hl_pct_change_48_1h"] > 0.5)
):
return True, "sell_profit_w_7_14"
elif (
(last_candle["r_14"] > -10.0)
and (last_candle["r_480_1h"] > -16.0)
and (last_candle["rsi_14"] > 77.5)
and (last_candle["cci"] > 300.0)
):
return True, "sell_profit_w_7_15"
elif (last_candle["r_14"] > -3.0) and (last_candle["rsi_14"] < 48.0) and (last_candle["rsi_14_1h"] < 46.0):
return True, "sell_profit_w_7_16"
elif (
(last_candle["r_14"] > -6.0)
and (last_candle["rsi_14"] < 48.0)
and (last_candle["r_480"] < -50.0)
and (last_candle["close"] < last_candle["ema_200"])
and (last_candle["rsi_14_1h"] < 42.0)
):
return True, "sell_profit_w_7_17"
elif (
(last_candle["r_14"] > -1.0)
and (last_candle["rsi_14"] > 71.0)
and (last_candle["cti"] > 0.8)
and (last_candle["cci"] > 220.0)
and (last_candle["cmf_1h"] < -0.0)
and (current_time - timedelta(minutes=720) > trade.open_date_utc)
):
return True, "sell_profit_w_7_18"
elif (
(last_candle["r_96"] > -8.0)
and (last_candle["rsi_14"] > 76.0)
and (last_candle["cci"] > 220.0)
and (last_candle["r_480_1h"] > -10.0)
and (last_candle["rsi_14_1h"] > 74.0)
):
return True, "sell_profit_w_7_19"
elif (
(last_candle["r_14"] > -2.0)
and (last_candle["r_32"] > -1.0)
and (last_candle["rsi_14"] > 69.0)
and (last_candle["cti"] > 0.82)
):
return True, "sell_profit_w_7_20"
elif (last_candle["r_14"] > -2.5) and (last_candle["r_32"] > -3.0) and (last_candle["rsi_14"] > 73.0):
return True, "sell_profit_w_7_21"
elif (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] > 61.0) and (last_candle["r_480_1h"] > -25.0):
return True, "sell_profit_w_7_22"
elif (
(last_candle["r_24"] > -7.0)
and (last_candle["r_32"] > -7.0)
and (last_candle["r_64"] > -6.0)
and (last_candle["rsi_14"] > 68.0)
and (last_candle["cti"] > 0.8)
):
return True, "sell_profit_w_7_23"
elif (last_candle["r_14"] > -7.0) and (last_candle["rsi_14"] > 77.0) and (last_candle["cci"] > 400.0):
return True, "sell_profit_w_7_24"
elif 0.09 > current_profit >= 0.08:
if last_candle["r_480"] > -2.4:
return True, "sell_profit_w_8_1"
elif (last_candle["r_480"] > -7.5) and (last_candle["rsi_14"] > 79.0) and (last_candle["cti"] > 0.9):
return True, "sell_profit_w_8_2"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] < 50.0):
return True, "sell_profit_w_8_3"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 77.0):
return True, "sell_profit_w_8_4"
elif (last_candle["r_14"] > -5.0) and (last_candle["cti"] > 0.954):
return True, "sell_profit_w_8_5"
elif (last_candle["r_480"] > -14.0) and (last_candle["rsi_14"] > 66.0) and (last_candle["r_480_1h"] > -8.0):
return True, "sell_profit_w_8_6"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 75.0) and (last_candle["cci"] > 320.0):
return True, "sell_profit_w_8_7"
elif (
(last_candle["r_14"] > -0.6)
and (last_candle["rsi_14"] > 66.0)
and (last_candle["cci"] > 220.0)
and (last_candle["cti_1h"] < -0.85)
):
return True, "sell_profit_w_8_8"
elif (
(last_candle["r_14"] >= -0.1)
and (last_candle["rsi_14"] > 73.0)
and (last_candle["cti"] > 0.85)
and (last_candle["cci"] > 180.0)
and (last_candle["r_480_1h"] > -10.0)
):
return True, "sell_profit_w_8_9"
elif (last_candle["r_480"] < -65.0) and (last_candle["cti"] > 0.95) and (last_candle["rsi_14"] > 75.0):
return True, "sell_profit_w_8_10"
elif (
(last_candle["r_14"] > -2.0)
and (last_candle["rsi_14"] > 70.0)
and (last_candle["cti"] > 0.85)
and (last_candle["cci"] > 110.0)
and (last_candle["r_480"] < -45.0)
and (last_candle["cmf_1h"] < -0.1)
):
return True, "sell_profit_w_8_11"
elif (last_candle["r_14"] > -4.0) and (last_candle["rsi_14"] < 62.0) and (last_candle["cmf_1h"] < -0.15):
return True, "sell_profit_w_8_12"
elif (
(last_candle["r_14"] >= -1.0)
and (last_candle["rsi_14"] > 78.0)
and (last_candle["cci"] > 360.0)
and (last_candle["cmf_1h"] < -0.0)
):
return True, "sell_profit_w_8_13"
elif (
(last_candle["r_14"] > -0.1)
and (last_candle["rsi_14"] > 73.0)
and (last_candle["cci"] > 300.0)
and (last_candle["hl_pct_change_48_1h"] > 0.5)
):
return True, "sell_profit_w_8_14"
elif (
(last_candle["r_14"] > -8.0)
and (last_candle["r_480_1h"] > -14.0)
and (last_candle["rsi_14"] > 78.0)
and (last_candle["cci"] > 310.0)
):
return True, "sell_profit_w_8_15"
elif (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] < 44.0) and (last_candle["rsi_14_1h"] < 44.0):
return True, "sell_profit_w_8_16"
elif (
(last_candle["r_14"] > -5.0)
and (last_candle["rsi_14"] < 46.0)
and (last_candle["r_480"] < -50.0)
and (last_candle["close"] < last_candle["ema_200"])
and (last_candle["rsi_14_1h"] < 40.0)
):
return True, "sell_profit_w_8_17"
elif (
(last_candle["r_14"] > -1.0)
and (last_candle["rsi_14"] > 72.0)
and (last_candle["cti"] > 0.8)
and (last_candle["cci"] > 230.0)
and (last_candle["cmf_1h"] < -0.0)
and (current_time - timedelta(minutes=720) > trade.open_date_utc)
):
return True, "sell_profit_w_8_18"
elif (
(last_candle["r_96"] > -7.0)
and (last_candle["rsi_14"] > 76.0)
and (last_candle["cci"] > 220.0)
and (last_candle["r_480_1h"] > -9.0)
and (last_candle["rsi_14_1h"] > 74.0)
):
return True, "sell_profit_w_8_19"
elif (
(last_candle["r_14"] > -2.5)
and (last_candle["r_32"] > -2.0)
and (last_candle["rsi_14"] > 67.0)
and (last_candle["cti"] > 0.81)
):
return True, "sell_profit_w_8_20"
elif (last_candle["r_14"] > -2.5) and (last_candle["r_32"] > -3.0) and (last_candle["rsi_14"] > 72.0):
return True, "sell_profit_w_8_21"
elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 68.0) and (last_candle["r_480_1h"] > -25.0):
return True, "sell_profit_w_8_22"
elif (
(last_candle["r_24"] > -6.0)
and (last_candle["r_32"] > -6.0)
and (last_candle["r_64"] > -5.0)
and (last_candle["rsi_14"] > 70.0)
and (last_candle["cti"] > 0.8)
):
return True, "sell_profit_w_8_23"
elif (last_candle["r_14"] > -5.0) and (last_candle["rsi_14"] > 77.0) and (last_candle["cci"] > 400.0):
return True, "sell_profit_w_8_24"
elif 0.1 > current_profit >= 0.09:
if last_candle["r_480"] > -2.6:
return True, "sell_profit_w_9_1"
elif (last_candle["r_480"] > -6.0) and (last_candle["rsi_14"] > 79.0) and (last_candle["cti"] > 0.9):
return True, "sell_profit_w_9_2"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] < 46.0):
return True, "sell_profit_w_9_3"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 78.0):
return True, "sell_profit_w_9_4"
elif (last_candle["r_14"] > -5.0) and (last_candle["cti"] > 0.956):
return True, "sell_profit_w_9_5"
elif (last_candle["r_480"] > -16.0) and (last_candle["rsi_14"] > 64.0) and (last_candle["r_480_1h"] > -9.0):
return True, "sell_profit_w_9_6"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 76.0) and (last_candle["cci"] > 320.0):
return True, "sell_profit_w_9_7"
elif (
(last_candle["r_14"] > -0.4)
and (last_candle["rsi_14"] > 70.0)
and (last_candle["cci"] > 220.0)
and (last_candle["cti_1h"] < -0.85)
):
return True, "sell_profit_w_9_8"
elif (
(last_candle["r_14"] >= -0.1)
and (last_candle["rsi_14"] > 75.0)
and (last_candle["cti"] > 0.88)
and (last_candle["cci"] > 190.0)
and (last_candle["r_480_1h"] > -10.0)
):
return True, "sell_profit_w_9_9"
elif (last_candle["r_480"] < -65.0) and (last_candle["cti"] > 0.96) and (last_candle["rsi_14"] > 76.0):
return True, "sell_profit_w_9_10"
elif (
(last_candle["r_14"] > -2.0)
and (last_candle["rsi_14"] > 72.0)
and (last_candle["cti"] > 0.87)
and (last_candle["cci"] > 120.0)
and (last_candle["r_480"] < -50.0)
and (last_candle["cmf_1h"] < -0.1)
):
return True, "sell_profit_w_9_11"
elif (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] < 58.0) and (last_candle["cmf_1h"] < -0.19):
return True, "sell_profit_w_9_12"
elif (
(last_candle["r_14"] >= -0.1)
and (last_candle["rsi_14"] > 79.0)
and (last_candle["cci"] > 380.0)
and (last_candle["cmf_1h"] < -0.0)
):
return True, "sell_profit_w_9_13"
elif (
(last_candle["r_14"] > -0.1)
and (last_candle["rsi_14"] > 75.0)
and (last_candle["cci"] > 320.0)
and (last_candle["hl_pct_change_48_1h"] > 0.5)
):
return True, "sell_profit_w_9_14"
elif (
(last_candle["r_14"] > -6.0)
and (last_candle["r_480_1h"] > -12.0)
and (last_candle["rsi_14"] > 78.5)
and (last_candle["cci"] > 320.0)
):
return True, "sell_profit_w_9_15"
elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] < 40.0) and (last_candle["rsi_14_1h"] < 42.0):
return True, "sell_profit_w_9_16"
elif (
(last_candle["r_14"] > -4.0)
and (last_candle["rsi_14"] < 44.0)
and (last_candle["r_480"] < -50.0)
and (last_candle["close"] < last_candle["ema_200"])
and (last_candle["rsi_14_1h"] < 38.0)
):
return True, "sell_profit_w_9_17"
elif (
(last_candle["r_14"] > -0.5)
and (last_candle["rsi_14"] > 73.0)
and (last_candle["cti"] > 0.8)
and (last_candle["cci"] > 240.0)
and (last_candle["cmf_1h"] < -0.0)
and (current_time - timedelta(minutes=720) > trade.open_date_utc)
):
return True, "sell_profit_w_9_18"
elif (
(last_candle["r_96"] > -6.0)
and (last_candle["rsi_14"] > 77.0)
and (last_candle["cci"] > 240.0)
and (last_candle["r_480_1h"] > -8.0)
and (last_candle["rsi_14_1h"] > 75.0)
):
return True, "sell_profit_w_9_19"
elif (
(last_candle["r_14"] > -3.0)
and (last_candle["r_32"] > -2.0)
and (last_candle["rsi_14"] > 65.0)
and (last_candle["cti"] > 0.8)
):
return True, "sell_profit_w_9_20"
elif (last_candle["r_14"] > -2.0) and (last_candle["r_32"] > -3.0) and (last_candle["rsi_14"] > 71.0):
return True, "sell_profit_w_9_21"
elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 72.0) and (last_candle["r_480_1h"] > -25.0):
return True, "sell_profit_w_9_22"
elif (
(last_candle["r_24"] > -5.0)
and (last_candle["r_32"] > -5.0)
and (last_candle["r_64"] > -4.0)
and (last_candle["rsi_14"] > 72.0)
and (last_candle["cti"] > 0.8)
):
return True, "sell_profit_w_9_23"
elif (last_candle["r_14"] > -3.0) and (last_candle["rsi_14"] > 77.0) and (last_candle["cci"] > 400.0):
return True, "sell_profit_w_9_24"
elif 0.12 > current_profit >= 0.1:
if last_candle["r_480"] > -1.0:
return True, "sell_profit_w_10_1"
elif (last_candle["r_480"] > -5.0) and (last_candle["rsi_14"] > 79.0) and (last_candle["cti"] > 0.9):
return True, "sell_profit_w_10_2"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] < 42.0):
return True, "sell_profit_w_10_3"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 78.5):
return True, "sell_profit_w_10_4"
elif (last_candle["r_14"] > -5.0) and (last_candle["cti"] > 0.96):
return True, "sell_profit_w_10_5"
elif (last_candle["r_480"] > -18.0) and (last_candle["rsi_14"] > 60.0) and (last_candle["r_480_1h"] > -11.0):
return True, "sell_profit_w_10_6"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 77.0) and (last_candle["cci"] > 320.0):
return True, "sell_profit_w_10_7"
elif (
(last_candle["r_14"] > -0.4)
and (last_candle["rsi_14"] > 74.0)
and (last_candle["cci"] > 220.0)
and (last_candle["cti_1h"] < -0.85)
):
return True, "sell_profit_w_10_8"
elif (
(last_candle["r_14"] >= -0.1)
and (last_candle["rsi_14"] > 77.0)
and (last_candle["cti"] > 0.9)
and (last_candle["cci"] > 200.0)
and (last_candle["r_480_1h"] > -8.0)
):
return True, "sell_profit_w_10_9"
elif (last_candle["r_480"] < -65.0) and (last_candle["cti"] > 0.96) and (last_candle["rsi_14"] > 77.0):
return True, "sell_profit_w_10_10"
elif (
(last_candle["r_14"] > -2.0)
and (last_candle["rsi_14"] > 74.0)
and (last_candle["cti"] > 0.88)
and (last_candle["cci"] > 130.0)
and (last_candle["r_480"] < -50.0)
and (last_candle["cmf_1h"] < -0.1)
):
return True, "sell_profit_w_10_11"
elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] < 50.0) and (last_candle["cmf_1h"] < -0.22):
return True, "sell_profit_w_10_12"
elif (
(last_candle["r_14"] >= -0.1)
and (last_candle["rsi_14"] > 79.0)
and (last_candle["cci"] > 400.0)
and (last_candle["cmf_1h"] < -0.0)
):
return True, "sell_profit_w_10_13"
elif (
(last_candle["r_14"] > -0.1)
and (last_candle["rsi_14"] > 77.0)
and (last_candle["cci"] > 340.0)
and (last_candle["hl_pct_change_48_1h"] > 0.5)
):
return True, "sell_profit_w_10_14"
elif (
(last_candle["r_14"] > -4.0)
and (last_candle["r_480_1h"] > -10.0)
and (last_candle["rsi_14"] > 79.0)
and (last_candle["cci"] > 330.0)
):
return True, "sell_profit_w_10_15"
elif (last_candle["r_14"] > -0.1) and (last_candle["rsi_14"] < 36.0) and (last_candle["rsi_14_1h"] < 40.0):
return True, "sell_profit_w_10_16"
elif (
(last_candle["r_14"] > -3.0)
and (last_candle["rsi_14"] < 42.0)
and (last_candle["r_480"] < -50.0)
and (last_candle["close"] < last_candle["ema_200"])
and (last_candle["rsi_14_1h"] < 37.0)
):
return True, "sell_profit_w_10_17"
elif (
(last_candle["r_14"] > -0.5)
and (last_candle["rsi_14"] > 74.0)
and (last_candle["cti"] > 0.8)
and (last_candle["cci"] > 250.0)
and (last_candle["cmf_1h"] < -0.0)
and (current_time - timedelta(minutes=720) > trade.open_date_utc)
):
return True, "sell_profit_w_10_18"
elif (
(last_candle["r_96"] > -5.0)
and (last_candle["rsi_14"] > 78.0)
and (last_candle["cci"] > 240.0)
and (last_candle["r_480_1h"] > -7.0)
and (last_candle["rsi_14_1h"] > 75.0)
):
return True, "sell_profit_w_10_19"
elif (
(last_candle["r_14"] > -1.0)
and (last_candle["r_32"] > -1.0)
and (last_candle["rsi_14"] > 69.0)
and (last_candle["cti"] > 0.82)
):
return True, "sell_profit_w_10_20"
elif (last_candle["r_14"] > -2.0) and (last_candle["r_32"] > -3.0) and (last_candle["rsi_14"] > 73.0):
return True, "sell_profit_w_10_21"
elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 76.0) and (last_candle["r_480_1h"] > -25.0):
return True, "sell_profit_w_10_22"
elif (
(last_candle["r_24"] > -4.0)
and (last_candle["r_32"] > -4.0)
and (last_candle["r_64"] > -3.0)
and (last_candle["rsi_14"] > 74.0)
and (last_candle["cti"] > 0.8)
):
return True, "sell_profit_w_10_23"
elif (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["cci"] > 400.0):
return True, "sell_profit_w_10_24"
elif 0.2 > current_profit >= 0.12:
if last_candle["r_480"] > -0.5:
return True, "sell_profit_w_11_1"
elif (last_candle["r_480"] > -4.5) and (last_candle["rsi_14"] > 80.0) and (last_candle["cti"] > 0.9):
return True, "sell_profit_w_11_2"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] < 36.0):
return True, "sell_profit_w_11_3"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 79.0):
return True, "sell_profit_w_11_4"
elif (last_candle["r_14"] > -5.0) and (last_candle["cti"] > 0.965):
return True, "sell_profit_w_11_5"
elif (last_candle["r_480"] > -10.0) and (last_candle["rsi_14"] > 70.0) and (last_candle["r_480_1h"] > -7.0):
return True, "sell_profit_w_11_6"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["cci"] > 320.0):
return True, "sell_profit_w_11_7"
elif (
(last_candle["r_14"] > -0.2)
and (last_candle["rsi_14"] > 77.0)
and (last_candle["cci"] > 220.0)
and (last_candle["cti_1h"] < -0.85)
):
return True, "sell_profit_w_11_8"
elif (
(last_candle["r_14"] >= -0.1)
and (last_candle["rsi_14"] > 78.0)
and (last_candle["cti"] > 0.9)
and (last_candle["cci"] > 200.0)
and (last_candle["r_480_1h"] > -8.0)
):
return True, "sell_profit_w_11_9"
elif (last_candle["r_480"] < -65.0) and (last_candle["cti"] > 0.96) and (last_candle["rsi_14"] > 78.0):
return True, "sell_profit_w_11_10"
elif (
(last_candle["r_14"] > -2.0)
and (last_candle["rsi_14"] > 76.0)
and (last_candle["cti"] > 0.89)
and (last_candle["cci"] > 140.0)
and (last_candle["r_480"] < -50.0)
and (last_candle["cmf_1h"] < -0.1)
):
return True, "sell_profit_w_11_11"
elif (last_candle["r_14"] > -0.5) and (last_candle["rsi_14"] < 44.0) and (last_candle["cmf_1h"] < -0.25):
return True, "sell_profit_w_11_12"
elif (
(last_candle["r_14"] >= -0.1)
and (last_candle["rsi_14"] > 80.0)
and (last_candle["cci"] > 420.0)
and (last_candle["cmf_1h"] < -0.0)
):
return True, "sell_profit_w_11_13"
elif (
(last_candle["r_14"] > -0.1)
and (last_candle["rsi_14"] > 78.0)
and (last_candle["cci"] > 360.0)
and (last_candle["hl_pct_change_48_1h"] > 0.5)
):
return True, "sell_profit_w_11_14"
elif (
(last_candle["r_14"] > -2.0)
and (last_candle["r_480_1h"] > -8.0)
and (last_candle["rsi_14"] > 79.5)
and (last_candle["cci"] > 340.0)
):
return True, "sell_profit_w_11_15"
elif (last_candle["r_14"] > -0.1) and (last_candle["rsi_14"] < 34.0) and (last_candle["rsi_14_1h"] < 38.0):
return True, "sell_profit_w_11_16"
elif (
(last_candle["r_14"] > -2.0)
and (last_candle["rsi_14"] < 40.0)
and (last_candle["r_480"] < -50.0)
and (last_candle["close"] < last_candle["ema_200"])
and (last_candle["rsi_14_1h"] < 36.0)
):
return True, "sell_profit_w_11_17"
elif (
(last_candle["r_14"] > -0.1)
and (last_candle["rsi_14"] > 75.0)
and (last_candle["cti"] > 0.8)
and (last_candle["cci"] > 260.0)
and (last_candle["cmf_1h"] < -0.0)
and (current_time - timedelta(minutes=720) > trade.open_date_utc)
):
return True, "sell_profit_w_11_18"
elif (
(last_candle["r_96"] > -4.0)
and (last_candle["rsi_14"] > 79.0)
and (last_candle["cci"] > 260.0)
and (last_candle["r_480_1h"] > -6.0)
and (last_candle["rsi_14_1h"] > 76.0)
):
return True, "sell_profit_w_11_19"
elif (
(last_candle["r_14"] > -1.0)
and (last_candle["r_32"] > -1.0)
and (last_candle["rsi_14"] > 74.0)
and (last_candle["cti"] > 0.84)
):
return True, "sell_profit_w_11_20"
elif (last_candle["r_14"] > -1.0) and (last_candle["r_32"] > -2.0) and (last_candle["rsi_14"] > 75.0):
return True, "sell_profit_w_11_21"
elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 77.0) and (last_candle["r_480_1h"] > -25.0):
return True, "sell_profit_w_11_22"
elif (
(last_candle["r_24"] > -3.0)
and (last_candle["r_32"] > -3.0)
and (last_candle["r_64"] > -2.0)
and (last_candle["rsi_14"] > 76.0)
and (last_candle["cti"] > 0.8)
):
return True, "sell_profit_w_11_23"
elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["cci"] > 400.0):
return True, "sell_profit_w_11_24"
elif current_profit >= 0.2:
if last_candle["r_480"] > -0.4:
return True, "sell_profit_w_12_1"
elif (last_candle["r_480"] > -4.0) and (last_candle["rsi_14"] > 80.0) and (last_candle["cti"] > 0.9):
return True, "sell_profit_w_12_2"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] < 32.0):
return True, "sell_profit_w_12_3"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 79.5):
return True, "sell_profit_w_12_4"
elif (last_candle["r_14"] > -5.0) and (last_candle["cti"] > 0.97):
return True, "sell_profit_w_12_5"
elif (last_candle["r_480"] > -5.0) and (last_candle["rsi_14"] > 75.0) and (last_candle["r_480_1h"] > -4.0):
return True, "sell_profit_w_12_6"
elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 79.0) and (last_candle["cci"] > 320.0):
return True, "sell_profit_w_12_7"
elif (
(last_candle["r_14"] > -0.1)
and (last_candle["rsi_14"] > 79.0)
and (last_candle["cci"] > 220.0)
and (last_candle["cti_1h"] < -0.85)
):
return True, "sell_profit_w_12_8"
elif (
(last_candle["r_14"] >= -0.1)
and (last_candle["rsi_14"] > 79.0)
and (last_candle["cti"] > 0.9)
and (last_candle["cci"] > 200.0)
and (last_candle["r_480_1h"] > -8.0)
):
return True, "sell_profit_w_12_9"
elif (last_candle["r_480"] < -65.0) and (last_candle["cti"] > 0.96) and (last_candle["rsi_14"] > 79.0):
return True, "sell_profit_w_12_10"
elif (
(last_candle["r_14"] > -2.0)
and (last_candle["rsi_14"] > 78.0)
and (last_candle["cti"] > 0.9)
and (last_candle["cci"] > 150.0)
and (last_candle["r_480"] < -50.0)
and (last_candle["cmf_1h"] < -0.1)
):
return True, "sell_profit_w_12_11"
elif (last_candle["r_14"] > -0.1) and (last_candle["rsi_14"] < 40.0) and (last_candle["cmf_1h"] < -0.28):
return True, "sell_profit_w_12_12"
elif (
(last_candle["r_14"] >= -0.1)
and (last_candle["rsi_14"] > 80.0)
and (last_candle["cci"] > 440.0)
and (last_candle["cmf_1h"] < -0.0)
):
return True, "sell_profit_w_12_13"
elif (
(last_candle["r_14"] > -0.1)
and (last_candle["rsi_14"] > 79.0)
and (last_candle["cci"] > 380.0)
and (last_candle["hl_pct_change_48_1h"] > 0.5)
):
return True, "sell_profit_w_12_14"
elif (
(last_candle["r_14"] > -1.0)
and (last_candle["r_480_1h"] > -6.0)
and (last_candle["rsi_14"] > 80.0)
and (last_candle["cci"] > 350.0)
):
return True, "sell_profit_w_12_15"
elif (last_candle["r_14"] > -0.1) and (last_candle["rsi_14"] < 32.0) and (last_candle["rsi_14_1h"] < 36.0):
return True, "sell_profit_w_12_16"
elif (
(last_candle["r_14"] > -1.0)
and (last_candle["rsi_14"] < 38.0)
and (last_candle["r_480"] < -50.0)
and (last_candle["close"] < last_candle["ema_200"])
and (last_candle["rsi_14_1h"] < 35.0)
):
return True, "sell_profit_w_12_17"
elif (
(last_candle["r_14"] > -0.1)
and (last_candle["rsi_14"] > 77.0)
and (last_candle["cti"] > 0.8)
and (last_candle["cci"] > 270.0)
and (last_candle["cmf_1h"] < -0.0)
and (current_time - timedelta(minutes=720) > trade.open_date_utc)
):
return True, "sell_profit_w_12_18"
elif (
(last_candle["r_96"] > -3.0)
and (last_candle["rsi_14"] > 79.0)
and (last_candle["cci"] > 260.0)
and (last_candle["r_480_1h"] > -5.0)
and (last_candle["rsi_14_1h"] > 77.0)
):
return True, "sell_profit_w_12_19"
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"] > 0.88)
):
return True, "sell_profit_w_12_20"
elif (last_candle["r_14"] > -1.0) and (last_candle["r_32"] > -2.0) and (last_candle["rsi_14"] > 79.0):
return True, "sell_profit_w_12_21"
elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 79.0) and (last_candle["r_480_1h"] > -25.0):
return True, "sell_profit_w_12_22"
elif (
(last_candle["r_24"] > -2.0)
and (last_candle["r_32"] > -2.0)
and (last_candle["r_64"] > -1.0)
and (last_candle["rsi_14"] > 78.0)
and (last_candle["cti"] > 0.8)
):
return True, "sell_profit_w_12_23"
elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["cci"] > 400.0):
return True, "sell_profit_w_12_24"
return False, None
def sell_trail(
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 max_profit > (current_profit + 0.075):
return True, "sell_profit_t_1_0"
if (max_profit > (current_profit + 0.04)) and (last_candle["rsi_14"] < 34.0):
return True, "sell_profit_t_1_1"
elif (
(max_profit > (current_profit + 0.04)) and (last_candle["sma_200_dec_20"]) and (last_candle["rsi_14"] < 38.0)
):
return True, "sell_profit_t_1_2"
elif (max_profit > (current_profit + 0.07)) and (last_candle["rsi_14"] < 47.0):
return True, "sell_profit_t_1_3"
elif (
(max_profit > (current_profit + 0.05)) and (last_candle["rsi_14_1h"] < 40.0) and (last_candle["cti_1h"] < -0.9)
):
return True, "sell_profit_t_1_4"
elif (
(max_profit > (current_profit + 0.035))
and (last_candle["sma_200_dec_20"])
and (last_candle["sma_200_dec_20_1h"])
and (last_candle["cmf"] < -0.0)
and (last_candle["close"] < last_candle["ema_200"])
):
return True, "sell_profit_t_1_5"
elif (
(max_profit > (current_profit + 0.07))
and (last_candle["rsi_14"] < 43.0)
and (last_candle["cmf"] < -0.1)
and (last_candle["close"] < last_candle["ema_200"])
):
return True, "sell_profit_t_1_6"
elif (
(max_profit > (current_profit + 0.06)) and (last_candle["rsi_14"] < 42.0) and (last_candle["rsi_14_1h"] < 45.0)
):
return True, "sell_profit_t_1_7"
elif (
(max_profit > (current_profit + 0.07))
and (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"] < 52.0)
and (current_time - timedelta(minutes=1440) > trade.open_date_utc)
):
return True, "sell_profit_t_1_8"
elif 0.03 > current_profit >= 0.02:
if max_profit > (current_profit + 0.08):
return True, "sell_profit_t_2_0"
if (max_profit > (current_profit + 0.045)) and (last_candle["rsi_14"] < 35.0):
return True, "sell_profit_t_2_1"
elif (
(max_profit > (current_profit + 0.045)) and (last_candle["sma_200_dec_20"]) and (last_candle["rsi_14"] < 40.0)
):
return True, "sell_profit_t_2_2"
elif (max_profit > (current_profit + 0.07)) and (last_candle["rsi_14"] < 47.0):
return True, "sell_profit_t_2_3"
elif (
(max_profit > (current_profit + 0.055))
and (last_candle["rsi_14_1h"] < 44.0)
and (last_candle["cti_1h"] < -0.8)
):
return True, "sell_profit_t_2_4"
elif (
(max_profit > (current_profit + 0.035))
and (last_candle["sma_200_dec_20"])
and (last_candle["sma_200_dec_20_1h"])
and (last_candle["cmf"] < -0.0)
and (last_candle["close"] < last_candle["ema_200"])
):
return True, "sell_profit_t_2_5"
elif (
(max_profit > (current_profit + 0.075))
and (last_candle["rsi_14"] < 44.0)
and (last_candle["cmf"] < -0.1)
and (last_candle["close"] < last_candle["ema_200"])
):
return True, "sell_profit_t_2_6"
elif (
(max_profit > (current_profit + 0.065))
and (last_candle["rsi_14"] < 40.0)
and (last_candle["rsi_14_1h"] < 44.0)
):
return True, "sell_profit_t_2_7"
elif (
(max_profit > (current_profit + 0.075))
and (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 (current_time - timedelta(minutes=1440) > trade.open_date_utc)
):
return True, "sell_profit_t_2_8"
elif 0.04 > current_profit >= 0.03:
if max_profit > (current_profit + 0.08):
return True, "sell_profit_t_3_0"
if (max_profit > (current_profit + 0.05)) and (last_candle["rsi_14"] < 36.0):
return True, "sell_profit_t_3_1"
elif (
(max_profit > (current_profit + 0.05)) and (last_candle["sma_200_dec_20"]) and (last_candle["rsi_14"] < 46.0)
):
return True, "sell_profit_t_3_2"
elif (max_profit > (current_profit + 0.07)) and (last_candle["rsi_14"] < 47.0):
return True, "sell_profit_t_3_3"
elif (
(max_profit > (current_profit + 0.06)) and (last_candle["rsi_14_1h"] < 49.0) and (last_candle["cti_1h"] < -0.6)
):
return True, "sell_profit_t_3_4"
elif (
(max_profit > (current_profit + 0.045))
and (last_candle["sma_200_dec_20"])
and (last_candle["sma_200_dec_20_1h"])
and (last_candle["cmf"] < -0.0)
and (last_candle["close"] < last_candle["ema_200"])
):
return True, "sell_profit_t_3_5"
elif (
(max_profit > (current_profit + 0.07))
and (last_candle["rsi_14"] < 45.0)
and (last_candle["cmf"] < -0.1)
and (last_candle["close"] < last_candle["ema_200"])
):
return True, "sell_profit_t_3_6"
elif (
(max_profit > (current_profit + 0.07)) and (last_candle["rsi_14"] < 38.0) and (last_candle["rsi_14_1h"] < 43.0)
):
return True, "sell_profit_t_3_7"
elif (
(max_profit > (current_profit + 0.07))
and (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"] < 48.0)
and (current_time - timedelta(minutes=1440) > trade.open_date_utc)
):
return True, "sell_profit_t_3_8"
elif 0.05 > current_profit >= 0.04:
if (max_profit > (current_profit + 0.055)) and (last_candle["rsi_14"] < 37.0):
return True, "sell_profit_t_4_1"
elif (
(max_profit > (current_profit + 0.055)) and (last_candle["sma_200_dec_20"]) and (last_candle["rsi_14"] < 47.0)
):
return True, "sell_profit_t_4_2"
elif (max_profit > (current_profit + 0.08)) and (last_candle["rsi_14"] < 42.0):
return True, "sell_profit_t_4_3"
elif (
(max_profit > (current_profit + 0.065))
and (last_candle["rsi_14_1h"] < 47.0)
and (last_candle["cti_1h"] < -0.85)
):
return True, "sell_profit_t_4_4"
elif (
(max_profit > (current_profit + 0.055))
and (last_candle["sma_200_dec_20"])
and (last_candle["sma_200_dec_20_1h"])
and (last_candle["cmf"] < -0.0)
and (last_candle["close"] < last_candle["ema_200"])
):
return True, "sell_profit_t_4_5"
elif (
(max_profit > (current_profit + 0.08))
and (last_candle["rsi_14"] < 46.0)
and (last_candle["cmf"] < -0.1)
and (last_candle["close"] < last_candle["ema_200"])
):
return True, "sell_profit_t_4_6"
elif (
(max_profit > (current_profit + 0.075))
and (last_candle["rsi_14"] < 36.0)
and (last_candle["rsi_14_1h"] < 42.0)
):
return True, "sell_profit_t_4_7"
elif (
(max_profit > (current_profit + 0.08))
and (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"] < 46.0)
and (current_time - timedelta(minutes=1440) > trade.open_date_utc)
):
return True, "sell_profit_t_4_8"
elif 0.06 > current_profit >= 0.05:
if (max_profit > (current_profit + 0.06)) and (last_candle["rsi_14"] < 38.0):
return True, "sell_profit_t_5_1"
elif (
(max_profit > (current_profit + 0.06)) and (last_candle["sma_200_dec_20"]) and (last_candle["rsi_14"] < 48.0)
):
return True, "sell_profit_t_5_2"
elif (max_profit > (current_profit + 0.08)) and (last_candle["rsi_14"] < 42.0):
return True, "sell_profit_t_5_3"
elif (
(max_profit > (current_profit + 0.07))
and (last_candle["rsi_14_1h"] < 45.0)
and (last_candle["cti_1h"] < -0.85)
):
return True, "sell_profit_t_5_4"
elif (
(max_profit > (current_profit + 0.06))
and (last_candle["sma_200_dec_20"])
and (last_candle["sma_200_dec_20_1h"])
and (last_candle["cmf"] < -0.0)
and (last_candle["close"] < last_candle["ema_200"])
):
return True, "sell_profit_t_5_5"
elif (
(max_profit > (current_profit + 0.08))
and (last_candle["rsi_14"] < 45.0)
and (last_candle["cmf"] < -0.1)
and (last_candle["close"] < last_candle["ema_200"])
):
return True, "sell_profit_t_5_6"
elif (
(max_profit > (current_profit + 0.08)) and (last_candle["rsi_14"] < 35.0) and (last_candle["rsi_14_1h"] < 41.0)
):
return True, "sell_profit_t_5_7"
elif (
(max_profit > (current_profit + 0.08))
and (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"] < 44.0)
and (current_time - timedelta(minutes=1440) > trade.open_date_utc)
):
return True, "sell_profit_t_5_8"
elif 0.07 > current_profit >= 0.06:
# if (max_profit > (current_profit + 0.095)):
# return True, 'sell_profit_t_6_0'
if (max_profit > (current_profit + 0.065)) and (last_candle["rsi_14"] < 39.0):
return True, "sell_profit_t_6_1"
elif (
(max_profit > (current_profit + 0.065)) and (last_candle["sma_200_dec_20"]) and (last_candle["rsi_14"] < 49.0)
):
return True, "sell_profit_t_6_2"
elif (max_profit > (current_profit + 0.09)) and (last_candle["rsi_14"] < 42.0):
return True, "sell_profit_t_6_3"
elif (
(max_profit > (current_profit + 0.075))
and (last_candle["rsi_14_1h"] < 43.0)
and (last_candle["cti_1h"] < -0.85)
):
return True, "sell_profit_t_6_4"
elif (
(max_profit > (current_profit + 0.065))
and (last_candle["sma_200_dec_20"])
and (last_candle["sma_200_dec_20_1h"])
and (last_candle["cmf"] < -0.0)
and (last_candle["close"] < last_candle["ema_200"])
):
return True, "sell_profit_t_6_5"
elif (
(max_profit > (current_profit + 0.09))
and (last_candle["rsi_14"] < 44.0)
and (last_candle["cmf"] < -0.1)
and (last_candle["close"] < last_candle["ema_200"])
):
return True, "sell_profit_t_6_6"
elif (
(max_profit > (current_profit + 0.085))
and (last_candle["rsi_14"] < 34.0)
and (last_candle["rsi_14_1h"] < 40.0)
):
return True, "sell_profit_t_6_7"
elif (
(max_profit > (current_profit + 0.09))
and (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"] < 42.0)
and (current_time - timedelta(minutes=1440) > trade.open_date_utc)
):
return True, "sell_profit_t_6_8"
elif 0.08 > current_profit >= 0.07:
if (max_profit > (current_profit + 0.07)) and (last_candle["rsi_14"] < 40.0):
return True, "sell_profit_t_7_1"
elif (
(max_profit > (current_profit + 0.07)) and (last_candle["sma_200_dec_20"]) and (last_candle["rsi_14"] < 50.0)
):
return True, "sell_profit_t_7_2"
elif (max_profit > (current_profit + 0.09)) and (last_candle["rsi_14"] < 41.0):
return True, "sell_profit_t_7_3"
elif (
(max_profit > (current_profit + 0.08))
and (last_candle["rsi_14_1h"] < 41.0)
and (last_candle["cti_1h"] < -0.85)
):
return True, "sell_profit_t_7_4"
elif (
(max_profit > (current_profit + 0.07))
and (last_candle["sma_200_dec_20"])
and (last_candle["sma_200_dec_20_1h"])
and (last_candle["cmf"] < -0.0)
and (last_candle["close"] < last_candle["ema_200"])
):
return True, "sell_profit_t_7_5"
elif (
(max_profit > (current_profit + 0.09))
and (last_candle["rsi_14"] < 42.0)
and (last_candle["cmf"] < -0.1)
and (last_candle["close"] < last_candle["ema_200"])
):
return True, "sell_profit_t_7_6"
elif (
(max_profit > (current_profit + 0.09)) and (last_candle["rsi_14"] < 33.0) and (last_candle["rsi_14_1h"] < 39.0)
):
return True, "sell_profit_t_7_7"
elif (
(max_profit > (current_profit + 0.09))
and (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"] < 40.0)
and (current_time - timedelta(minutes=1440) > trade.open_date_utc)
):
return True, "sell_profit_t_7_8"
elif 0.09 > current_profit >= 0.08:
if (max_profit > (current_profit + 0.075)) and (last_candle["rsi_14"] < 41.0):
return True, "sell_profit_t_8_1"
elif (
(max_profit > (current_profit + 0.075)) and (last_candle["sma_200_dec_20"]) and (last_candle["rsi_14"] < 51.0)
):
return True, "sell_profit_t_8_2"
elif (max_profit > (current_profit + 0.1)) and (last_candle["rsi_14"] < 42.0):
return True, "sell_profit_t_8_3"
elif (
(max_profit > (current_profit + 0.085))
and (last_candle["rsi_14_1h"] < 39.0)
and (last_candle["cti_1h"] < -0.85)
):
return True, "sell_profit_t_8_4"
elif (
(max_profit > (current_profit + 0.075))
and (last_candle["sma_200_dec_20"])
and (last_candle["sma_200_dec_20_1h"])
and (last_candle["cmf"] < -0.0)
and (last_candle["close"] < last_candle["ema_200"])
):
return True, "sell_profit_t_8_5"
elif (
(max_profit > (current_profit + 0.1))
and (last_candle["rsi_14"] < 40.0)
and (last_candle["cmf"] < -0.1)
and (last_candle["close"] < last_candle["ema_200"])
):
return True, "sell_profit_t_8_6"
elif (
(max_profit > (current_profit + 0.095))
and (last_candle["rsi_14"] < 32.0)
and (last_candle["rsi_14_1h"] < 38.0)
):
return True, "sell_profit_t_8_7"
elif (
(max_profit > (current_profit + 0.1))
and (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"] < 38.0)
and (current_time - timedelta(minutes=1440) > trade.open_date_utc)
):
return True, "sell_profit_t_8_8"
elif 0.1 > current_profit >= 0.09:
if (max_profit > (current_profit + 0.08)) and (last_candle["rsi_14"] < 42.0):
return True, "sell_profit_t_9_1"
elif (
(max_profit > (current_profit + 0.08)) and (last_candle["sma_200_dec_20"]) and (last_candle["rsi_14"] < 52.0)
):
return True, "sell_profit_t_9_2"
elif (max_profit > (current_profit + 0.11)) and (last_candle["rsi_14"] < 43.0):
return True, "sell_profit_t_9_3"
elif (
(max_profit > (current_profit + 0.09))
and (last_candle["rsi_14_1h"] < 37.0)
and (last_candle["cti_1h"] < -0.85)
):
return True, "sell_profit_t_9_4"
elif (
(max_profit > (current_profit + 0.08))
and (last_candle["sma_200_dec_20"])
and (last_candle["sma_200_dec_20_1h"])
and (last_candle["cmf"] < -0.0)
and (last_candle["close"] < last_candle["ema_200"])
):
return True, "sell_profit_t_9_5"
elif (
(max_profit > (current_profit + 0.1))
and (last_candle["rsi_14"] < 38.0)
and (last_candle["cmf"] < -0.1)
and (last_candle["close"] < last_candle["ema_200"])
):
return True, "sell_profit_t_9_6"
elif (
(max_profit > (current_profit + 0.1)) and (last_candle["rsi_14"] < 31.0) and (last_candle["rsi_14_1h"] < 37.0)
):
return True, "sell_profit_t_9_7"
elif (
(max_profit > (current_profit + 0.1))
and (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"] < 36.0)
and (current_time - timedelta(minutes=1440) > trade.open_date_utc)
):
return True, "sell_profit_t_9_8"
elif 0.12 > current_profit >= 0.1:
if (max_profit > (current_profit + 0.09)) and (last_candle["rsi_14"] < 40.0):
return True, "sell_profit_t_10_1"
elif (
(max_profit > (current_profit + 0.09)) and (last_candle["sma_200_dec_20"]) and (last_candle["rsi_14"] < 50.0)
):
return True, "sell_profit_t_10_2"
elif (max_profit > (current_profit + 0.12)) and (last_candle["rsi_14"] < 41.0):
return True, "sell_profit_t_10_3"
elif (
(max_profit > (current_profit + 0.095))
and (last_candle["rsi_14_1h"] < 35.0)
and (last_candle["cti_1h"] < -0.85)
):
return True, "sell_profit_t_10_4"
elif (
(max_profit > (current_profit + 0.09))
and (last_candle["sma_200_dec_20"])
and (last_candle["sma_200_dec_20_1h"])
and (last_candle["cmf"] < -0.0)
and (last_candle["close"] < last_candle["ema_200"])
):
return True, "sell_profit_t_10_5"
elif (
(max_profit > (current_profit + 0.1))
and (last_candle["rsi_14"] < 36.0)
and (last_candle["cmf"] < -0.1)
and (last_candle["close"] < last_candle["ema_200"])
):
return True, "sell_profit_t_10_6"
elif (
(max_profit > (current_profit + 0.11)) and (last_candle["rsi_14"] < 30.0) and (last_candle["rsi_14_1h"] < 36.0)
):
return True, "sell_profit_t_10_7"
elif (
(max_profit > (current_profit + 0.1))
and (last_candle["rsi_14"] < 33.0)
and (last_candle["sma_200_dec_20"])
and (last_candle["cmf"] < -0.0)
and (last_candle["rsi_14_1h"] < 35.0)
and (current_time - timedelta(minutes=1440) > trade.open_date_utc)
):
return True, "sell_profit_t_10_8"
elif 0.2 > current_profit >= 0.12:
if (max_profit > (current_profit + 0.095)) and (last_candle["rsi_14"] < 36.0):
return True, "sell_profit_t_11_1"
elif (
(max_profit > (current_profit + 0.095)) and (last_candle["sma_200_dec_20"]) and (last_candle["rsi_14"] < 46.0)
):
return True, "sell_profit_t_11_2"
elif (max_profit > (current_profit + 0.14)) and (last_candle["rsi_14"] < 38.0):
return True, "sell_profit_t_11_3"
elif (
(max_profit > (current_profit + 0.1)) and (last_candle["rsi_14_1h"] < 33.0) and (last_candle["cti_1h"] < -0.85)
):
return True, "sell_profit_t_11_4"
elif (
(max_profit > (current_profit + 0.095))
and (last_candle["sma_200_dec_20"])
and (last_candle["sma_200_dec_20_1h"])
and (last_candle["cmf"] < -0.0)
and (last_candle["close"] < last_candle["ema_200"])
):
return True, "sell_profit_t_11_5"
elif (
(max_profit > (current_profit + 0.1))
and (last_candle["rsi_14"] < 34.0)
and (last_candle["cmf"] < -0.1)
and (last_candle["close"] < last_candle["ema_200"])
):
return True, "sell_profit_t_11_6"
elif (
(max_profit > (current_profit + 0.12)) and (last_candle["rsi_14"] < 29.0) and (last_candle["rsi_14_1h"] < 35.0)
):
return True, "sell_profit_t_11_7"
elif (
(max_profit > (current_profit + 0.1))
and (last_candle["rsi_14"] < 32.0)
and (last_candle["sma_200_dec_20"])
and (last_candle["cmf"] < -0.0)
and (last_candle["rsi_14_1h"] < 34.0)
and (current_time - timedelta(minutes=1440) > trade.open_date_utc)
):
return True, "sell_profit_t_11_8"
elif current_profit >= 0.2:
if (max_profit > (current_profit + 0.1)) and (last_candle["rsi_14"] < 34.0):
return True, "sell_profit_t_12_1"
elif (
(max_profit > (current_profit + 0.1)) and (last_candle["sma_200_dec_20"]) and (last_candle["rsi_14"] < 44.0)
):
return True, "sell_profit_t_12_2"
elif (max_profit > (current_profit + 0.16)) and (last_candle["rsi_14"] < 35.0):
return True, "sell_profit_t_12_3"
elif (
(max_profit > (current_profit + 0.11))
and (last_candle["rsi_14_1h"] < 31.0)
and (last_candle["cti_1h"] < -0.85)
):
return True, "sell_profit_t_12_4"
elif (
(max_profit > (current_profit + 0.1))
and (last_candle["sma_200_dec_20"])
and (last_candle["sma_200_dec_20_1h"])
and (last_candle["cmf"] < -0.0)
and (last_candle["close"] < last_candle["ema_200"])
):
return True, "sell_profit_t_12_5"
elif (
(max_profit > (current_profit + 0.1))
and (last_candle["rsi_14"] < 34.0)
and (last_candle["cmf"] < -0.1)
and (last_candle["close"] < last_candle["ema_200"])
):
return True, "sell_profit_t_12_6"
elif (
(max_profit > (current_profit + 0.13)) and (last_candle["rsi_14"] < 28.0) and (last_candle["rsi_14_1h"] < 34.0)
):
return True, "sell_profit_t_12_7"
elif (
(max_profit > (current_profit + 0.11))
and (last_candle["rsi_14"] < 32.0)
and (last_candle["sma_200_dec_20"])
and (last_candle["cmf"] < -0.0)
and (last_candle["rsi_14_1h"] < 34.0)
and (current_time - timedelta(minutes=1440) > trade.open_date_utc)
):
return True, "sell_profit_t_12_8"
return False, None
def sell_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"] < 46.0)
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, "sell_profit_d_o_1_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"] < 38.0)
):
return True, "sell_profit_d_o_1_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"] < 35.0)
and (last_candle["sma_200_dec_20_1h"])
):
return True, "sell_profit_d_o_1_3"
elif 0.03 > current_profit >= 0.02:
if (
(last_candle["rsi_14"] < 48.0)
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, "sell_profit_d_o_2_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, "sell_profit_d_o_2_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"] < 36.0)
and (last_candle["sma_200_dec_20_1h"])
):
return True, "sell_profit_d_o_2_3"
elif 0.04 > current_profit >= 0.03:
if (
(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"] < 50.0)
and (last_candle["cti"] > 0.4)
):
return True, "sell_profit_d_o_3_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"] < 42.0)
):
return True, "sell_profit_d_u_3_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"] < 37.0)
and (last_candle["sma_200_dec_20_1h"])
):
return True, "sell_profit_d_o_3_3"
elif 0.05 > current_profit >= 0.04:
if (
(last_candle["rsi_14"] < 52.0)
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, "sell_profit_d_o_4_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"] < 44.0)
):
return True, "sell_profit_d_o_4_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"] < 38.0)
and (last_candle["sma_200_dec_20_1h"])
):
return True, "sell_profit_d_o_4_3"
elif 0.06 > current_profit >= 0.05:
if (
(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"] < 50.0)
and (last_candle["cti"] > 0.4)
):
return True, "sell_profit_d_o_5_1"
elif (
(last_candle["rsi_14"] < 54.0)
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, "sell_profit_d_o_5_2"
elif (
(last_candle["rsi_14"] < 51.0)
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, "sell_profit_d_o_5_3"
elif 0.07 > current_profit >= 0.06:
if (
(last_candle["rsi_14"] < 48.0)
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, "sell_profit_d_o_6_1"
elif (
(last_candle["rsi_14"] < 56.0)
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, "sell_profit_d_o_6_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"] < 38.0)
and (last_candle["sma_200_dec_20_1h"])
):
return True, "sell_profit_d_o_6_3"
elif 0.08 > current_profit >= 0.07:
if (
(last_candle["rsi_14"] < 46.0)
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, "sell_profit_d_o_7_1"
elif (
(last_candle["rsi_14"] < 52.0)
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, "sell_profit_d_o_7_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"] < 37.0)
and (last_candle["sma_200_dec_20_1h"])
):
return True, "sell_profit_d_o_7_3"
elif 0.09 > current_profit >= 0.08:
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"] < 44.0)
and (last_candle["cti_1h"] > 0.5)
):
return True, "sell_profit_d_o_8_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"] < 40.0)
):
return True, "sell_profit_d_o_8_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"] < 36.0)
and (last_candle["sma_200_dec_20_1h"])
):
return True, "sell_profit_d_o_8_3"
elif 0.1 > current_profit >= 0.09:
if (
(last_candle["rsi_14"] < 40.0)
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, "sell_profit_d_o_9_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"] < 38.0)
):
return True, "sell_profit_d_o_9_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"] < 35.0)
and (last_candle["sma_200_dec_20_1h"])
):
return True, "sell_profit_d_o_9_3"
elif 0.12 > current_profit >= 0.1:
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"] < 38.0)
and (last_candle["cti"] > 0.5)
):
return True, "sell_profit_d_o_10_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"] < 36.0)
):
return True, "sell_profit_d_o_10_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"] < 34.0)
and (last_candle["sma_200_dec_20_1h"])
):
return True, "sell_profit_d_o_10_3"
elif 0.2 > current_profit >= 0.12:
if (
(last_candle["rsi_14"] < 36.0)
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, "sell_profit_d_o_11_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"] < 34.0)
):
return True, "sell_profit_d_o_11_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"] < 33.0)
and (last_candle["sma_200_dec_20_1h"])
):
return True, "sell_profit_d_o_11_3"
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, "sell_profit_d_o_12_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"] < 32.0)
):
return True, "sell_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, "sell_profit_d_o_12_3"
else:
if 0.02 > current_profit >= 0.012:
if (
(last_candle["rsi_14"] < 55.0)
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, "sell_profit_d_u_1_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, "sell_profit_d_u_1_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"] < 35.0)
and (last_candle["sma_200_dec_20_1h"])
):
return True, "sell_profit_d_u_1_3"
elif 0.03 > current_profit >= 0.02:
if (
(last_candle["rsi_14"] < 57.0)
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, "sell_profit_d_u_2_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, "sell_profit_d_u_2_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"] < 36.0)
and (last_candle["sma_200_dec_20_1h"])
):
return True, "sell_profit_d_u_2_3"
elif 0.04 > current_profit >= 0.03:
if (
(last_candle["rsi_14"] < 57.0)
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, "sell_profit_d_u_3_1"
elif (
(last_candle["rsi_14"] < 52.0)
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, "sell_profit_d_u_3_2"
elif (
(last_candle["rsi_14"] < 51.0)
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, "sell_profit_d_u_3_3"
elif 0.05 > current_profit >= 0.04:
if (
(last_candle["rsi_14"] < 58.0)
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, "sell_profit_d_u_4_1"
elif (
(last_candle["rsi_14"] < 56.0)
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, "sell_profit_d_u_4_2"
elif (
(last_candle["rsi_14"] < 52.0)
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, "sell_profit_d_u_4_3"
elif 0.06 > current_profit >= 0.05:
if (
(last_candle["rsi_14"] < 57.0)
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, "sell_profit_d_u_5_1"
elif (
(last_candle["rsi_14"] < 66.0)
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, "sell_profit_d_u_5_2"
elif (
(last_candle["rsi_14"] < 53.0)
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, "sell_profit_d_u_5_3"
elif 0.07 > current_profit >= 0.06:
if (
(last_candle["rsi_14"] < 56.0)
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, "sell_profit_d_u_6_1"
elif (
(last_candle["rsi_14"] < 62.0)
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, "sell_profit_d_u_6_2"
elif (
(last_candle["rsi_14"] < 52.0)
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, "sell_profit_d_u_6_3"
elif 0.08 > current_profit >= 0.07:
if (
(last_candle["rsi_14"] < 55.0)
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, "sell_profit_d_u_7_1"
elif (
(last_candle["rsi_14"] < 58.0)
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, "sell_profit_d_u_7_2"
elif (
(last_candle["rsi_14"] < 51.0)
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, "sell_profit_d_u_7_3"
elif 0.09 > current_profit >= 0.08:
if (
(last_candle["rsi_14"] < 54.0)
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, "sell_profit_d_u_8_1"
elif (
(last_candle["rsi_14"] < 56.0)
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, "sell_profit_d_u_8_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"] < 36.0)
and (last_candle["sma_200_dec_20_1h"])
):
return True, "sell_profit_d_u_8_3"
elif 0.1 > current_profit >= 0.09:
if (
(last_candle["rsi_14"] < 53.0)
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, "sell_profit_d_u_9_1"
elif (
(last_candle["rsi_14"] < 54.0)
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, "sell_profit_d_u_9_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"] < 35.0)
and (last_candle["sma_200_dec_20_1h"])
):
return True, "sell_profit_d_u_9_3"
elif 0.12 > current_profit >= 0.1:
if (
(last_candle["rsi_14"] < 52.0)
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, "sell_profit_d_u_10_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"] < 40.0)
):
return True, "sell_profit_d_u_10_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"] < 34.0)
and (last_candle["sma_200_dec_20_1h"])
):
return True, "sell_profit_d_u_10_3"
elif 0.2 > current_profit >= 0.12:
if (
(last_candle["rsi_14"] < 50.0)
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, "sell_profit_d_u_11_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"] < 38.0)
):
return True, "sell_profit_d_u_11_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"] < 33.0)
and (last_candle["sma_200_dec_20_1h"])
):
return True, "sell_profit_d_u_11_3"
elif current_profit >= 0.2:
if (
(last_candle["rsi_14"] < 48.0)
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, "sell_profit_d_u_12_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"] < 36.0)
):
return True, "sell_profit_d_u_12_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"] < 32.0)
and (last_candle["sma_200_dec_20_1h"])
):
return True, "sell_profit_d_u_12_3"
return False, None
def sell_pump_main(self, current_profit: float, last_candle) -> tuple:
if last_candle["hl_pct_change_48_1h"] > 0.9:
if last_candle["moderi_96"]:
if current_profit >= 0.2:
if last_candle["rsi_14"] < 31.0:
return True, "sell_profit_p_bull_48_1_12_1"
elif 0.2 > current_profit >= 0.12:
if last_candle["rsi_14"] < 33.0:
return True, "sell_profit_p_bull_48_1_11_1"
elif 0.12 > current_profit >= 0.1:
if last_candle["rsi_14"] < 41.0:
return True, "sell_profit_p_bull_48_1_10_1"
elif 0.1 > current_profit >= 0.09:
if last_candle["rsi_14"] < 51.0:
return True, "sell_profit_p_bull_48_1_9_1"
elif 0.09 > current_profit >= 0.08:
if last_candle["rsi_14"] < 50.0:
return True, "sell_profit_p_bull_48_1_8_1"
elif 0.08 > current_profit >= 0.07:
if last_candle["rsi_14"] < 49.0:
return True, "sell_profit_p_bull_48_1_7_1"
elif 0.07 > current_profit >= 0.06:
if last_candle["rsi_14"] < 47.0:
return True, "sell_profit_p_bull_48_1_6_1"
elif (last_candle["rsi_14"] < 58.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bull_48_1_6_3"
elif (last_candle["rsi_14"] < 56.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bull_48_1_6_4"
elif (last_candle["rsi_14"] > 77.0) and (last_candle["r_14"] >= -0.1):
return True, "sell_profit_p_bull_48_1_6_5"
elif 0.06 > current_profit >= 0.05:
if last_candle["rsi_14"] < 45.0:
return True, "sell_profit_p_bull_48_1_5_1"
elif (last_candle["rsi_14"] < 56.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bull_48_1_5_3"
elif (last_candle["rsi_14"] < 54.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bull_48_1_5_4"
elif (last_candle["rsi_14"] > 75.0) and (last_candle["r_14"] >= -0.1):
return True, "sell_profit_p_bull_48_1_5_5"
elif 0.05 > current_profit >= 0.04:
if last_candle["rsi_14"] < 43.0:
return True, "sell_profit_p_bull_48_1_4_1"
elif (last_candle["rsi_14"] < 54.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bull_48_1_4_3"
elif (last_candle["rsi_14"] < 53.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bull_48_1_4_4"
elif (last_candle["rsi_14"] > 73.0) and (last_candle["r_14"] >= -0.1):
return True, "sell_profit_p_bull_48_1_4_5"
elif 0.04 > current_profit >= 0.03:
if last_candle["rsi_14"] < 39.0:
return True, "sell_profit_p_bull_48_1_3_1"
elif (last_candle["rsi_14"] < 46.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bull_48_1_3_3"
elif (last_candle["rsi_14"] < 50.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bull_48_1_3_4"
elif (last_candle["rsi_14"] > 75.0) and (last_candle["r_14"] >= -0.1):
return True, "sell_profit_p_bull_48_1_3_5"
elif 0.03 > current_profit >= 0.02:
if last_candle["rsi_14"] < 35.0:
return True, "sell_profit_p_bull_48_1_2_1"
elif (last_candle["rsi_14"] < 44.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bull_48_1_2_3"
elif (last_candle["rsi_14"] < 48.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bull_48_1_2_4"
elif (last_candle["rsi_14"] > 77.0) and (last_candle["r_14"] >= -0.1):
return True, "sell_profit_p_bull_48_1_2_5"
elif (last_candle["rsi_14"] > 64.0) and (last_candle["cmf"] < -0.0) and (last_candle["cmf_1h"] < -0.0):
return True, "sell_profit_p_bull_48_1_2_6"
elif 0.02 > current_profit >= 0.01:
if last_candle["rsi_14"] < 33.0:
return True, "sell_profit_p_bull_48_1_1_1"
elif (last_candle["rsi_14"] < 38.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bull_48_1_1_3"
elif (last_candle["rsi_14"] < 46.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bull_48_1_1_4"
elif (last_candle["rsi_14"] > 79.0) and (last_candle["r_14"] >= -0.1):
return True, "sell_profit_p_bull_48_1_1_5"
elif (last_candle["rsi_14"] > 69.0) and (last_candle["cmf"] < -0.0) and (last_candle["cmf_1h"] < -0.0):
return True, "sell_profit_p_bull_48_1_1_6"
else:
if current_profit >= 0.2:
if last_candle["rsi_14"] < 32.0:
return True, "sell_profit_p_bear_48_1_12_1"
elif 0.2 > current_profit >= 0.12:
if last_candle["rsi_14"] < 34.0:
return True, "sell_profit_p_bear_48_1_11_1"
elif 0.12 > current_profit >= 0.1:
if last_candle["rsi_14"] < 42.0:
return True, "sell_profit_p_bear_48_1_10_1"
elif 0.1 > current_profit >= 0.09:
if last_candle["rsi_14"] < 52.0:
return True, "sell_profit_p_bear_48_1_9_1"
elif 0.09 > current_profit >= 0.08:
if last_candle["rsi_14"] < 51.0:
return True, "sell_profit_p_bear_48_1_8_1"
elif 0.08 > current_profit >= 0.07:
if last_candle["rsi_14"] < 50.0:
return True, "sell_profit_p_bear_48_1_7_1"
elif 0.07 > current_profit >= 0.06:
if last_candle["rsi_14"] < 48.0:
return True, "sell_profit_p_bear_48_1_6_1"
elif (last_candle["rsi_14"] < 58.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bear_48_1_6_3"
elif (last_candle["rsi_14"] < 58.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bear_48_1_6_4"
elif (last_candle["rsi_14"] > 76.0) and (last_candle["r_14"] >= -0.1):
return True, "sell_profit_p_bear_48_1_6_5"
elif 0.06 > current_profit >= 0.05:
if last_candle["rsi_14"] < 46.0:
return True, "sell_profit_p_bear_48_1_5_1"
elif (last_candle["rsi_14"] < 56.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bear_48_1_5_3"
elif (last_candle["rsi_14"] < 56.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bear_48_1_5_4"
elif (last_candle["rsi_14"] > 75.0) and (last_candle["r_14"] >= -0.1):
return True, "sell_profit_p_bear_48_1_5_5"
elif 0.05 > current_profit >= 0.04:
if last_candle["rsi_14"] < 44.0:
return True, "sell_profit_p_bear_48_1_4_1"
elif (last_candle["rsi_14"] < 54.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bear_48_1_4_3"
elif (last_candle["rsi_14"] < 54.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bear_48_1_4_4"
elif (last_candle["rsi_14"] > 72.0) and (last_candle["r_14"] >= -0.1):
return True, "sell_profit_p_bear_48_1_4_5"
elif 0.04 > current_profit >= 0.03:
if last_candle["rsi_14"] < 40.0:
return True, "sell_profit_p_bear_48_1_3_1"
elif (last_candle["rsi_14"] < 44.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bear_48_1_3_3"
elif (last_candle["rsi_14"] < 52.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bear_48_1_3_4"
elif (last_candle["rsi_14"] > 74.0) and (last_candle["r_14"] >= -0.1):
return True, "sell_profit_p_bear_48_1_3_5"
elif 0.03 > current_profit >= 0.02:
if last_candle["rsi_14"] < 36.0:
return True, "sell_profit_p_bear_48_1_2_1"
elif (last_candle["rsi_14"] < 42.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bear_48_1_2_3"
elif (last_candle["rsi_14"] < 50.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bear_48_1_2_4"
elif (last_candle["rsi_14"] > 76.0) and (last_candle["r_14"] >= -0.1):
return True, "sell_profit_p_bear_48_1_2_5"
elif (last_candle["rsi_14"] > 63.0) and (last_candle["cmf"] < -0.0) and (last_candle["cmf_1h"] < -0.0):
return True, "sell_profit_p_bear_48_1_2_6"
elif 0.02 > current_profit >= 0.01:
if last_candle["rsi_14"] < 34.0:
return True, "sell_profit_p_bear_48_1_1_1"
elif (last_candle["rsi_14"] < 40.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bear_48_1_1_3"
elif (last_candle["rsi_14"] < 48.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bear_48_1_1_4"
elif (last_candle["rsi_14"] > 78.0) and (last_candle["r_14"] >= -0.1):
return True, "sell_profit_p_bear_48_1_1_5"
elif (last_candle["rsi_14"] > 68.0) and (last_candle["cmf"] < -0.0) and (last_candle["cmf_1h"] < -0.0):
return True, "sell_profit_p_bear_48_1_1_6"
if last_candle["hl_pct_change_48_1h"] > 0.8:
if last_candle["moderi_96"]:
if current_profit >= 0.2:
if (last_candle["rsi_14"] < 32.0) and (last_candle["cmf"] < -0.35):
return True, "sell_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, "sell_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, "sell_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, "sell_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, "sell_profit_p_bull_48_2_8_1"
elif 0.08 > current_profit >= 0.07:
if (last_candle["rsi_14"] < 47.0) and (last_candle["cmf"] < -0.25):
return True, "sell_profit_p_bull_48_2_7_1"
elif 0.07 > current_profit >= 0.06:
if (last_candle["rsi_14"] < 51.0) and (last_candle["cmf"] < -0.25):
return True, "sell_profit_p_bull_48_2_6_1"
elif 0.06 > current_profit >= 0.05:
if (last_candle["rsi_14"] < 55.0) and (last_candle["cmf"] < -0.2):
return True, "sell_profit_p_bull_48_2_5_1"
elif 0.05 > current_profit >= 0.04:
if (last_candle["rsi_14"] < 51.0) and (last_candle["cmf"] < -0.2):
return True, "sell_profit_p_bull_48_2_4_1"
elif 0.04 > current_profit >= 0.03:
if (last_candle["rsi_14"] < 47.0) and (last_candle["cmf"] < -0.25):
return True, "sell_profit_p_bull_48_2_3_1"
elif 0.03 > current_profit >= 0.02:
if (last_candle["rsi_14"] < 43.0) and (last_candle["cmf"] < -0.25):
return True, "sell_profit_p_bull_48_2_2_1"
elif 0.02 > current_profit >= 0.01:
if (last_candle["rsi_14"] < 39.0) and (last_candle["cmf"] < -0.25):
return True, "sell_profit_p_bull_48_2_1_1"
else:
if current_profit >= 0.2:
if (last_candle["rsi_14"] < 33.0) and (last_candle["cmf"] < -0.35):
return True, "sell_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, "sell_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, "sell_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, "sell_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, "sell_profit_p_bear_48_2_8_1"
elif 0.08 > current_profit >= 0.07:
if (last_candle["rsi_14"] < 48.0) and (last_candle["cmf"] < -0.1):
return True, "sell_profit_p_bear_48_2_7_1"
elif 0.07 > current_profit >= 0.06:
if (last_candle["rsi_14"] < 50.0) and (last_candle["cmf"] < -0.1):
return True, "sell_profit_p_bear_48_2_6_1"
elif 0.06 > current_profit >= 0.05:
if (last_candle["rsi_14"] < 48.0) and (last_candle["cmf"] < -0.1):
return True, "sell_profit_p_bear_48_2_5_1"
elif 0.05 > current_profit >= 0.04:
if (last_candle["rsi_14"] < 46.0) and (last_candle["cmf"] < -0.1):
return True, "sell_profit_p_bear_48_2_4_1"
elif 0.04 > current_profit >= 0.03:
if (last_candle["rsi_14"] < 44.0) and (last_candle["cmf"] < -0.1):
return True, "sell_profit_p_bear_48_2_3_1"
elif 0.03 > current_profit >= 0.02:
if (last_candle["rsi_14"] < 42.0) and (last_candle["cmf"] < -0.1):
return True, "sell_profit_p_bear_48_2_2_1"
elif 0.02 > current_profit >= 0.01:
if (last_candle["rsi_14"] < 40.0) and (last_candle["cmf"] < -0.15):
return True, "sell_profit_p_bear_48_2_1_1"
if last_candle["hl_pct_change_48_1h"] > 0.5:
if last_candle["moderi_96"]:
if current_profit >= 0.2:
if (last_candle["rsi_14"] < 32.0) and (last_candle["cmf"] < -0.35):
return True, "sell_profit_p_bull_48_3_12_1"
elif (last_candle["rsi_14"] > 80.0) and (last_candle["r_14"] > -0.1) and (last_candle["cmf_1h"] < -0.2):
return True, "sell_profit_p_bull_48_3_12_2"
elif 0.2 > current_profit >= 0.12:
if (last_candle["rsi_14"] < 33.0) and (last_candle["cmf"] < -0.35):
return True, "sell_profit_p_bull_48_3_11_1"
elif (last_candle["rsi_14"] > 79.0) and (last_candle["r_14"] > -0.1) and (last_candle["cmf_1h"] < -0.2):
return True, "sell_profit_p_bull_48_3_11_2"
elif 0.12 > current_profit >= 0.1:
if (last_candle["rsi_14"] < 35.0) and (last_candle["cmf"] < -0.35):
return True, "sell_profit_p_bull_48_3_10_1"
elif (last_candle["rsi_14"] > 78.0) and (last_candle["r_14"] > -0.1) and (last_candle["cmf_1h"] < -0.2):
return True, "sell_profit_p_bull_48_3_10_2"
elif 0.1 > current_profit >= 0.09:
if (last_candle["rsi_14"] < 39.0) and (last_candle["cmf"] < -0.3):
return True, "sell_profit_p_bull_48_3_9_1"
elif (last_candle["rsi_14"] > 77.0) and (last_candle["r_14"] > -0.1) and (last_candle["cmf_1h"] < -0.2):
return True, "sell_profit_p_bull_48_3_9_2"
elif 0.09 > current_profit >= 0.08:
if (last_candle["rsi_14"] < 43.0) and (last_candle["cmf"] < -0.25):
return True, "sell_profit_p_bull_48_3_8_1"
elif (last_candle["rsi_14"] > 76.0) and (last_candle["r_14"] > -0.1) and (last_candle["cmf_1h"] < -0.2):
return True, "sell_profit_p_bull_48_3_8_2"
elif 0.08 > current_profit >= 0.07:
if (last_candle["rsi_14"] < 47.0) and (last_candle["cmf"] < -0.25):
return True, "sell_profit_p_bull_48_3_7_1"
elif (last_candle["rsi_14"] > 74.0) and (last_candle["r_14"] > -1.0) and (last_candle["cmf_1h"] < -0.2):
return True, "sell_profit_p_bull_48_3_7_2"
elif 0.07 > current_profit >= 0.06:
if (last_candle["rsi_14"] < 51.0) and (last_candle["cmf"] < -0.25):
return True, "sell_profit_p_bull_48_3_6_1"
elif (last_candle["rsi_14"] > 72.0) and (last_candle["r_14"] > -2.0) and (last_candle["cmf_1h"] < -0.2):
return True, "sell_profit_p_bull_48_3_6_2"
elif 0.06 > current_profit >= 0.05:
if (last_candle["rsi_14"] < 55.0) and (last_candle["cmf"] < -0.2):
return True, "sell_profit_p_bull_48_3_5_1"
elif (last_candle["rsi_14"] > 70.0) and (last_candle["r_14"] > -5.0) and (last_candle["cmf_1h"] < -0.2):
return True, "sell_profit_p_bull_48_3_5_2"
elif 0.05 > current_profit >= 0.04:
if (last_candle["rsi_14"] < 51.0) and (last_candle["cmf"] < -0.2):
return True, "sell_profit_p_bull_48_3_4_1"
elif (last_candle["rsi_14"] > 67.0) and (last_candle["r_14"] > -10.0) and (last_candle["cmf_1h"] < -0.15):
return True, "sell_profit_p_bull_48_3_4_2"
elif 0.04 > current_profit >= 0.03:
if (last_candle["rsi_14"] < 47.0) and (last_candle["cmf"] < -0.25):
return True, "sell_profit_p_bull_48_3_3_1"
elif (last_candle["rsi_14"] > 68.0) and (last_candle["r_14"] > -10.0) and (last_candle["cmf_1h"] < -0.15):
return True, "sell_profit_p_bull_48_3_3_2"
elif 0.03 > current_profit >= 0.02:
if (last_candle["rsi_14"] < 43.0) and (last_candle["cmf"] < -0.25):
return True, "sell_profit_p_bull_48_3_2_1"
elif (last_candle["rsi_14"] > 72.0) and (last_candle["r_14"] > -5.0) and (last_candle["cmf_1h"] < -0.2):
return True, "sell_profit_p_bull_48_3_2_2"
elif 0.02 > current_profit >= 0.01:
if (last_candle["rsi_14"] < 39.0) and (last_candle["cmf"] < -0.25):
return True, "sell_profit_p_bull_48_3_2_1"
elif (last_candle["rsi_14"] > 76.0) and (last_candle["r_14"] > -1.0) and (last_candle["cmf_1h"] < -0.25):
return True, "sell_profit_p_bull_48_3_1_2"
else:
if current_profit >= 0.2:
if (last_candle["rsi_14"] < 33.0) and (last_candle["cmf"] < -0.35):
return True, "sell_profit_p_bear_48_3_12_1"
elif (last_candle["rsi_14"] > 79.0) and (last_candle["r_14"] > -0.1) and (last_candle["cmf_1h"] < -0.2):
return True, "sell_profit_p_bear_48_3_12_2"
elif 0.2 > current_profit >= 0.12:
if (last_candle["rsi_14"] < 34.0) and (last_candle["cmf"] < -0.35):
return True, "sell_profit_p_bear_48_3_11_1"
elif (last_candle["rsi_14"] > 78.0) and (last_candle["r_14"] > -0.1) and (last_candle["cmf_1h"] < -0.2):
return True, "sell_profit_p_bear_48_3_11_2"
elif 0.12 > current_profit >= 0.1:
if (last_candle["rsi_14"] < 36.0) and (last_candle["cmf"] < -0.35):
return True, "sell_profit_p_bear_48_3_10_1"
elif (last_candle["rsi_14"] > 77.0) and (last_candle["r_14"] > -0.1) and (last_candle["cmf_1h"] < -0.2):
return True, "sell_profit_p_bear_48_3_10_2"
elif 0.1 > current_profit >= 0.09:
if (last_candle["rsi_14"] < 40.0) and (last_candle["cmf"] < -0.3):
return True, "sell_profit_p_bear_48_3_9_1"
elif (last_candle["rsi_14"] > 76.0) and (last_candle["r_14"] > -0.1) and (last_candle["cmf_1h"] < -0.2):
return True, "sell_profit_p_bear_48_3_9_2"
elif 0.09 > current_profit >= 0.08:
if (last_candle["rsi_14"] < 44.0) and (last_candle["cmf"] < -0.25):
return True, "sell_profit_p_bear_48_3_8_1"
elif (last_candle["rsi_14"] > 75.0) and (last_candle["r_14"] > -0.1) and (last_candle["cmf_1h"] < -0.2):
return True, "sell_profit_p_bear_48_3_8_2"
elif 0.08 > current_profit >= 0.07:
if (last_candle["rsi_14"] < 48.0) and (last_candle["cmf"] < -0.25):
return True, "sell_profit_p_bear_48_3_7_1"
elif (last_candle["rsi_14"] > 73.0) and (last_candle["r_14"] > -1.0) and (last_candle["cmf_1h"] < -0.2):
return True, "sell_profit_p_bear_48_3_7_2"
elif 0.07 > current_profit >= 0.06:
if (last_candle["rsi_14"] < 52.0) and (last_candle["cmf"] < -0.25):
return True, "sell_profit_p_bear_48_3_6_1"
elif (last_candle["rsi_14"] > 71.0) and (last_candle["r_14"] > -2.0) and (last_candle["cmf_1h"] < -0.2):
return True, "sell_profit_p_bear_48_3_6_2"
elif 0.06 > current_profit >= 0.05:
if (last_candle["rsi_14"] < 56.0) and (last_candle["cmf"] < -0.2):
return True, "sell_profit_p_bear_48_3_5_1"
elif (last_candle["rsi_14"] > 69.0) and (last_candle["r_14"] > -5.0) and (last_candle["cmf_1h"] < -0.2):
return True, "sell_profit_p_bear_48_3_5_2"
elif 0.05 > current_profit >= 0.04:
if (last_candle["rsi_14"] < 52.0) and (last_candle["cmf"] < -0.2):
return True, "sell_profit_p_bear_48_3_4_1"
elif (last_candle["rsi_14"] > 66.0) and (last_candle["r_14"] > -10.0) and (last_candle["cmf_1h"] < -0.15):
return True, "sell_profit_p_bear_48_3_4_2"
elif 0.04 > current_profit >= 0.03:
if (last_candle["rsi_14"] < 48.0) and (last_candle["cmf"] < -0.25):
return True, "sell_profit_p_bear_48_3_3_1"
elif (last_candle["rsi_14"] > 67.0) and (last_candle["r_14"] > -10.0) and (last_candle["cmf_1h"] < -0.15):
return True, "sell_profit_p_bear_48_3_3_2"
elif 0.03 > current_profit >= 0.02:
if (last_candle["rsi_14"] < 44.0) and (last_candle["cmf"] < -0.25):
return True, "sell_profit_p_bear_48_3_2_1"
elif (last_candle["rsi_14"] > 71.0) and (last_candle["r_14"] > -5.0) and (last_candle["cmf_1h"] < -0.2):
return True, "sell_profit_p_bear_48_3_2_2"
elif 0.02 > current_profit >= 0.01:
if (last_candle["rsi_14"] < 40.0) and (last_candle["cmf"] < -0.25):
return True, "sell_profit_p_bear_48_3_1_1"
elif (last_candle["rsi_14"] > 75.0) and (last_candle["r_14"] > -1.0) and (last_candle["cmf_1h"] < -0.25):
return True, "sell_profit_p_bear_48_3_1_2"
if last_candle["hl_pct_change_36_1h"] > 0.72:
if last_candle["moderi_96"]:
if current_profit >= 0.2:
if last_candle["rsi_14"] < 31.0:
return True, "sell_profit_p_bull_36_1_12_1"
elif 0.2 > current_profit >= 0.12:
if last_candle["rsi_14"] < 33.0:
return True, "sell_profit_p_bull_36_1_11_1"
elif 0.12 > current_profit >= 0.1:
if last_candle["rsi_14"] < 41.0:
return True, "sell_profit_p_bull_36_1_10_1"
elif 0.1 > current_profit >= 0.09:
if last_candle["rsi_14"] < 51.0:
return True, "sell_profit_p_bull_36_1_9_1"
elif 0.09 > current_profit >= 0.08:
if last_candle["rsi_14"] < 50.0:
return True, "sell_profit_p_bull_36_1_8_1"
elif 0.08 > current_profit >= 0.07:
if last_candle["rsi_14"] < 49.0:
return True, "sell_profit_p_bull_36_1_7_1"
elif 0.07 > current_profit >= 0.06:
if last_candle["rsi_14"] < 47.0:
return True, "sell_profit_p_bull_36_1_6_1"
elif (last_candle["rsi_14"] < 58.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bull_36_1_6_3"
elif (last_candle["rsi_14"] < 56.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bull_36_1_6_4"
elif 0.06 > current_profit >= 0.05:
if last_candle["rsi_14"] < 45.0:
return True, "sell_profit_p_bull_36_1_5_1"
elif (last_candle["rsi_14"] < 56.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bull_36_1_5_3"
elif (last_candle["rsi_14"] < 54.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bull_36_1_5_4"
elif 0.05 > current_profit >= 0.04:
if last_candle["rsi_14"] < 43.0:
return True, "sell_profit_p_bull_36_1_4_1"
elif (last_candle["rsi_14"] < 54.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bull_36_1_4_3"
elif (last_candle["rsi_14"] < 53.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bull_36_1_4_4"
elif 0.04 > current_profit >= 0.03:
if last_candle["rsi_14"] < 39.0:
return True, "sell_profit_p_bull_36_1_3_1"
elif (last_candle["rsi_14"] < 46.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bull_36_1_3_3"
elif (last_candle["rsi_14"] < 50.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bull_36_1_3_4"
elif 0.03 > current_profit >= 0.02:
if last_candle["rsi_14"] < 35.0:
return True, "sell_profit_p_bull_36_1_2_1"
elif (last_candle["rsi_14"] < 44.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bull_36_1_2_3"
elif (last_candle["rsi_14"] < 48.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bull_36_1_2_4"
elif 0.02 > current_profit >= 0.01:
if last_candle["rsi_14"] < 33.0:
return True, "sell_profit_p_bull_36_1_1_1"
elif (last_candle["rsi_14"] < 38.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bull_36_1_1_3"
elif (last_candle["rsi_14"] < 46.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bull_36_1_1_4"
else:
if current_profit >= 0.2:
if last_candle["rsi_14"] < 32.0:
return True, "sell_profit_p_bear_36_1_12_1"
elif 0.2 > current_profit >= 0.12:
if last_candle["rsi_14"] < 34.0:
return True, "sell_profit_p_bear_36_1_11_1"
elif 0.12 > current_profit >= 0.1:
if last_candle["rsi_14"] < 42.0:
return True, "sell_profit_p_bear_36_1_10_1"
elif 0.1 > current_profit >= 0.09:
if last_candle["rsi_14"] < 52.0:
return True, "sell_profit_p_bear_36_1_9_1"
elif 0.09 > current_profit >= 0.08:
if last_candle["rsi_14"] < 51.0:
return True, "sell_profit_p_bear_36_1_8_1"
elif 0.08 > current_profit >= 0.07:
if last_candle["rsi_14"] < 50.0:
return True, "sell_profit_p_bear_36_1_7_1"
elif 0.07 > current_profit >= 0.06:
if last_candle["rsi_14"] < 48.0:
return True, "sell_profit_p_bear_36_1_6_1"
elif (last_candle["rsi_14"] < 58.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bear_36_1_6_3"
elif (last_candle["rsi_14"] < 58.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bear_36_1_6_4"
elif 0.06 > current_profit >= 0.05:
if last_candle["rsi_14"] < 46.0:
return True, "sell_profit_p_bear_36_1_5_1"
elif (last_candle["rsi_14"] < 56.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bear_36_1_5_3"
elif (last_candle["rsi_14"] < 56.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bear_36_1_5_4"
elif 0.05 > current_profit >= 0.04:
if last_candle["rsi_14"] < 44.0:
return True, "sell_profit_p_bear_36_1_4_1"
elif (last_candle["rsi_14"] < 54.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bear_36_1_4_3"
elif (last_candle["rsi_14"] < 54.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bear_36_1_4_4"
elif 0.04 > current_profit >= 0.03:
if last_candle["rsi_14"] < 40.0:
return True, "sell_profit_p_bear_36_1_3_1"
elif (last_candle["rsi_14"] < 44.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bear_36_1_3_3"
elif (last_candle["rsi_14"] < 52.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bear_36_1_3_4"
elif 0.03 > current_profit >= 0.02:
if last_candle["rsi_14"] < 36.0:
return True, "sell_profit_p_bear_36_1_2_1"
elif (last_candle["rsi_14"] < 42.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bear_36_1_2_3"
elif (last_candle["rsi_14"] < 50.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bear_36_1_2_4"
elif 0.02 > current_profit >= 0.01:
if last_candle["rsi_14"] < 34.0:
return True, "sell_profit_p_bear_36_1_1_1"
elif (last_candle["rsi_14"] < 40.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bear_36_1_1_3"
elif (last_candle["rsi_14"] < 48.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bear_36_1_1_4"
if last_candle["hl_pct_change_24_1h"] > 0.68:
if last_candle["moderi_96"]:
if current_profit >= 0.2:
if last_candle["rsi_14"] < 31.0:
return True, "sell_profit_p_bull_24_1_12_1"
elif 0.2 > current_profit >= 0.12:
if last_candle["rsi_14"] < 33.0:
return True, "sell_profit_p_bull_24_1_11_1"
elif 0.12 > current_profit >= 0.1:
if last_candle["rsi_14"] < 41.0:
return True, "sell_profit_p_bull_24_1_10_1"
elif 0.1 > current_profit >= 0.09:
if last_candle["rsi_14"] < 51.0:
return True, "sell_profit_p_bull_24_1_9_1"
elif 0.09 > current_profit >= 0.08:
if last_candle["rsi_14"] < 50.0:
return True, "sell_profit_p_bull_24_1_8_1"
elif 0.08 > current_profit >= 0.07:
if last_candle["rsi_14"] < 49.0:
return True, "sell_profit_p_bull_24_1_7_1"
elif 0.07 > current_profit >= 0.06:
if last_candle["rsi_14"] < 47.0:
return True, "sell_profit_p_bull_24_1_6_1"
elif (last_candle["rsi_14"] < 58.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bull_24_1_6_3"
elif (last_candle["rsi_14"] < 56.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bull_24_1_6_4"
elif 0.06 > current_profit >= 0.05:
if last_candle["rsi_14"] < 45.0:
return True, "sell_profit_p_bull_24_1_5_1"
elif (last_candle["rsi_14"] < 56.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bull_24_1_5_3"
elif (last_candle["rsi_14"] < 54.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bull_24_1_5_4"
elif 0.05 > current_profit >= 0.04:
if last_candle["rsi_14"] < 43.0:
return True, "sell_profit_p_bull_24_1_4_1"
elif (last_candle["rsi_14"] < 54.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bull_24_1_4_3"
elif (last_candle["rsi_14"] < 53.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bull_24_1_4_4"
elif 0.04 > current_profit >= 0.03:
if last_candle["rsi_14"] < 39.0:
return True, "sell_profit_p_bull_24_1_3_1"
elif (last_candle["rsi_14"] < 46.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bull_24_1_3_3"
elif (last_candle["rsi_14"] < 50.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bull_24_1_3_4"
elif 0.03 > current_profit >= 0.02:
if last_candle["rsi_14"] < 35.0:
return True, "sell_profit_p_bull_24_1_2_1"
elif (last_candle["rsi_14"] < 44.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bull_24_1_2_3"
elif (last_candle["rsi_14"] < 48.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bull_24_1_2_4"
elif 0.02 > current_profit >= 0.01:
if last_candle["rsi_14"] < 33.0:
return True, "sell_profit_p_bull_24_1_1_1"
elif (last_candle["rsi_14"] < 38.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bull_24_1_1_3"
elif (last_candle["rsi_14"] < 46.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bull_24_1_1_4"
else:
if current_profit >= 0.2:
if last_candle["rsi_14"] < 32.0:
return True, "sell_profit_p_bear_24_1_12_1"
elif 0.2 > current_profit >= 0.12:
if last_candle["rsi_14"] < 34.0:
return True, "sell_profit_p_bear_24_1_11_1"
elif 0.12 > current_profit >= 0.1:
if last_candle["rsi_14"] < 42.0:
return True, "sell_profit_p_bear_24_1_10_1"
elif 0.1 > current_profit >= 0.09:
if last_candle["rsi_14"] < 52.0:
return True, "sell_profit_p_bear_24_1_9_1"
elif 0.09 > current_profit >= 0.08:
if last_candle["rsi_14"] < 51.0:
return True, "sell_profit_p_bear_24_1_8_1"
elif 0.08 > current_profit >= 0.07:
if last_candle["rsi_14"] < 50.0:
return True, "sell_profit_p_bear_24_1_7_1"
elif 0.07 > current_profit >= 0.06:
if last_candle["rsi_14"] < 48.0:
return True, "sell_profit_p_bear_24_1_6_1"
elif (last_candle["rsi_14"] < 58.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bear_24_1_6_3"
elif (last_candle["rsi_14"] < 58.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bear_24_1_6_4"
elif 0.06 > current_profit >= 0.05:
if last_candle["rsi_14"] < 46.0:
return True, "sell_profit_p_bear_24_1_5_1"
elif (last_candle["rsi_14"] < 56.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bear_24_1_5_3"
elif (last_candle["rsi_14"] < 56.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bear_24_1_5_4"
elif 0.05 > current_profit >= 0.04:
if last_candle["rsi_14"] < 44.0:
return True, "sell_profit_p_bear_24_1_4_1"
elif (last_candle["rsi_14"] < 54.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bear_24_1_4_3"
elif (last_candle["rsi_14"] < 54.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bear_24_1_4_4"
elif 0.04 > current_profit >= 0.03:
if last_candle["rsi_14"] < 40.0:
return True, "sell_profit_p_bear_24_1_3_1"
elif (last_candle["rsi_14"] < 44.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bear_24_1_3_3"
elif (last_candle["rsi_14"] < 52.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bear_24_1_3_4"
elif 0.03 > current_profit >= 0.02:
if last_candle["rsi_14"] < 36.0:
return True, "sell_profit_p_bear_24_1_2_1"
elif (last_candle["rsi_14"] < 42.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bear_24_1_2_3"
elif (last_candle["rsi_14"] < 50.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bear_24_1_2_4"
elif 0.02 > current_profit >= 0.01:
if last_candle["rsi_14"] < 34.0:
return True, "sell_profit_p_bear_24_1_1_1"
elif (last_candle["rsi_14"] < 40.0) and (last_candle["cmf"] < -0.12):
return True, "sell_profit_p_bear_24_1_1_3"
elif (last_candle["rsi_14"] < 48.0) and (last_candle["r_14"] == 0):
return True, "sell_profit_p_bear_24_1_1_4"
return False, None
def sell_pump_dec(
self,
current_profit: float,
max_profit: float,
max_loss: float,
last_candle,
previous_candle_1,
trade: "Trade",
current_time: "datetime",
) -> tuple:
if (
(0.05 > current_profit > 0.01)
and (last_candle["hl_pct_change_24_1h"] > 0.8)
and (last_candle["sma_200_dec_20"])
and (last_candle["close"] < last_candle["ema_200"])
):
return True, "sell_profit_p_d_1"
elif (
(0.05 > current_profit > 0.02)
and (last_candle["hl_pct_change_36_1h"] > 1.2)
and (last_candle["sma_200_dec_20"])
and (last_candle["close"] < last_candle["ema_200"])
):
return True, "sell_profit_p_d_2"
elif (
(0.06 > current_profit > 0.04)
and (last_candle["hl_pct_change_48_1h"] > 1.4)
and (last_candle["sma_200_dec_20"])
and (last_candle["close"] < last_candle["ema_200"])
):
return True, "sell_profit_p_d_3"
return False, None
def sell_pump_trail(
self,
current_profit: float,
max_profit: float,
max_loss: float,
last_candle,
previous_candle_1,
trade: "Trade",
current_time: "datetime",
) -> tuple:
if (
(0.03 > current_profit > 0.01)
and (last_candle["hl_pct_change_6_1h"] > 0.16)
and (last_candle["sma_200_dec_20"])
and (last_candle["cmf"] < 0.0)
and (max_profit > (current_profit + 0.02))
and (last_candle["rsi_14"] < 50.0)
):
return True, "sell_profit_p_t_1"
return False, None
def sell_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"] > 0.9:
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["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)
):
return True, "sell_stoploss_p_48_1_1"
elif (
(-0.04 > current_profit > -0.08)
and (max_profit < 0.02)
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"] < -0.0)
):
return True, "sell_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["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)
):
return True, "sell_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["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["rsi_14"] < 40.0)
):
return True, "sell_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["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)
):
return True, "sell_stoploss_p_24_1_1"
return False, None
def sell_duration(
self,
current_profit: float,
max_profit: float,
max_loss: float,
last_candle,
previous_candle_1,
trade: "Trade",
current_time: "datetime",
) -> tuple:
if current_time - timedelta(minutes=1440) > trade.open_date_utc:
if current_profit >= 0.2:
if last_candle["rsi_14"] > 81.5:
return True, "sell_profit_l_12_1"
elif 0.2 > current_profit >= 0.12:
if last_candle["rsi_14"] > 81.0:
return True, "sell_profit_l_11_1"
elif 0.12 > current_profit >= 0.1:
if last_candle["rsi_14"] > 80.5:
return True, "sell_profit_l_10_1"
elif 0.1 > current_profit >= 0.09:
if last_candle["rsi_14"] > 80.0:
return True, "sell_profit_l_9_1"
elif 0.09 > current_profit >= 0.08:
if last_candle["rsi_14"] > 79.5:
return True, "sell_profit_l_8_1"
elif 0.08 > current_profit >= 0.07:
if last_candle["rsi_14"] > 79.0:
return True, "sell_profit_l_7_1"
elif 0.07 > current_profit >= 0.06:
if last_candle["rsi_14"] > 78.5:
return True, "sell_profit_l_6_1"
elif 0.06 > current_profit >= 0.05:
if last_candle["rsi_14"] > 78.0:
return True, "sell_profit_l_5_1"
elif 0.05 > current_profit >= 0.04:
if last_candle["rsi_14"] > 79.0:
return True, "sell_profit_l_4_1"
elif 0.04 > current_profit >= 0.03:
if last_candle["rsi_14"] > 80.0:
return True, "sell_profit_l_3_1"
elif 0.03 > current_profit >= 0.02:
if last_candle["rsi_14"] > 80.5:
return True, "sell_profit_l_2_1"
elif 0.02 > current_profit >= 0.01:
if last_candle["rsi_14"] > 81.0:
return True, "sell_profit_l_1_1"
return False, None
def sell_quick_mode(
self,
current_profit: float,
max_profit: float,
max_loss: float,
last_candle,
previous_candle_1,
trade: "Trade",
current_time: "datetime",
) -> tuple:
if 0.04 > current_profit >= 0.02:
if max_profit > (current_profit + 0.02):
return True, "sell_profit_q_t_1"
elif 0.06 > current_profit >= 0.04:
if max_profit > (current_profit + 0.03):
return True, "sell_profit_q_t_2"
elif 0.08 > current_profit >= 0.06:
if max_profit > (current_profit + 0.04):
return True, "sell_profit_q_t_3"
return False, None
def custom_sell(
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]
buy_tag = "empty"
if hasattr(trade, "buy_tag") and trade.buy_tag is not None:
buy_tag = trade.buy_tag
buy_tags = buy_tag.split()
max_profit = (trade.max_rate - trade.open_rate) / trade.open_rate
max_loss = (trade.open_rate - trade.min_rate) / trade.min_rate
# Quick sell mode
if all(c in ["empty", "19"] for c in buy_tags):
sell, signal_name = self.sell_quick_mode(
current_profit, max_profit, max_loss, last_candle, previous_candle_1, trade, current_time
)
if sell and (signal_name is not None):
return f"{signal_name} ( {buy_tag})"
# Original sell signals
sell, signal_name = self.sell_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,
buy_tag,
)
if sell and (signal_name is not None):
return f"{signal_name} ( {buy_tag})"
# Stoplosses
sell, signal_name = self.sell_stoploss(
current_profit, max_profit, max_loss, last_candle, previous_candle_1, trade, current_time
)
if sell and (signal_name is not None):
return f"{signal_name} ( {buy_tag})"
# Over EMA200, main profit targets
sell, signal_name = self.sell_over_main(current_profit, last_candle)
if sell and (signal_name is not None):
return f"{signal_name} ( {buy_tag})"
# Under EMA200, main profit targets
sell, signal_name = self.sell_under_main(current_profit, last_candle)
if sell and (signal_name is not None):
return f"{signal_name} ( {buy_tag})"
# Williams %R based sells
sell, signal_name = self.sell_r(
current_profit, max_profit, max_loss, last_candle, previous_candle_1, trade, current_time
)
if sell and (signal_name is not None):
return f"{signal_name} ( {buy_tag})"
# Trailing
sell, signal_name = self.sell_trail(
current_profit, max_profit, max_loss, last_candle, previous_candle_1, trade, current_time
)
if sell and (signal_name is not None):
return f"{signal_name} ( {buy_tag})"
# The pair is descending
sell, signal_name = self.sell_dec_main(current_profit, last_candle)
if sell and (signal_name is not None):
return f"{signal_name} ( {buy_tag})"
# Sell logic for pumped pairs
sell, signal_name = self.sell_pump_main(current_profit, last_candle)
if sell and (signal_name is not None):
return f"{signal_name} ( {buy_tag})"
# The pair is pumped, descending
sell, signal_name = self.sell_pump_dec(
current_profit, max_profit, max_loss, last_candle, previous_candle_1, trade, current_time
)
if sell and (signal_name is not None):
return f"{signal_name} ( {buy_tag})"
# The pair is pumped, trailing
sell, signal_name = self.sell_pump_trail(
current_profit, max_profit, max_loss, last_candle, previous_candle_1, trade, current_time
)
if sell and (signal_name is not None):
return f"{signal_name} ( {buy_tag})"
# The pair is pumped, stoploss
sell, signal_name = self.sell_pump_stoploss(
current_profit, max_profit, max_loss, last_candle, previous_candle_1, trade, current_time
)
if sell and (signal_name is not None):
return f"{signal_name} ( {buy_tag})"
# Trade duration based sell logic
sell, signal_name = self.sell_duration(
current_profit, max_profit, max_loss, last_candle, previous_candle_1, trade, current_time
)
if sell and (signal_name is not None):
return f"{signal_name} ( {buy_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])
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_1h))
informative_pairs.append((btc_info_pair, self.info_timeframe_1d))
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_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"]
# 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)
informative_1h["ewo_ema"] = ewo_ema(informative_1h, 50, 200)
# MOMDIV
mom = momdiv(informative_1h)
informative_1h["momdiv_buy"] = mom["momdiv_buy"]
informative_1h["momdiv_sell"] = mom["momdiv_sell"]
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 normal_tf_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
tik = time.perf_counter()
# RSI
dataframe["rsi_14"] = ta.RSI(dataframe, timeperiod=14)
# EMAs
dataframe["ema_12"] = ta.EMA(dataframe, timeperiod=12)
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_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"]
# 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
# Modified Elder Ray Index
dataframe["moderi_32"] = moderi(dataframe, 32)
dataframe["moderi_64"] = moderi(dataframe, 64)
dataframe["moderi_96"] = moderi(dataframe, 96)
# 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)
dataframe["ewo_ema"] = ewo_ema(dataframe, 50, 200)
# CCI
dataframe["cci"] = ta.CCI(dataframe, source="hlc3", timeperiod=20)
# MFI
dataframe["mfi"] = ta.MFI(dataframe)
# For sell 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
# MOMDIV
mom = momdiv(dataframe)
dataframe["momdiv_buy"] = mom["momdiv_buy"]
dataframe["momdiv_sell"] = mom["momdiv_sell"]
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, 3)
dataframe["tpct_change_144"] = self.top_percent_change(dataframe, 48)
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()
"""
--> BTC informative (5m/1h)
___________________________________________________________________________________________
"""
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)
"""
--> Informative timeframe
___________________________________________________________________________________________
"""
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)
"""
--> Resampled to another timeframe
___________________________________________________________________________________________
"""
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)
"""
--> The indicators for the normal (5m) timeframe
___________________________________________________________________________________________
"""
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_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
conditions = []
dataframe.loc[:, "buy_tag"] = ""
for index in self.buy_protection_params:
item_buy_protection_list = [True]
global_buy_protection_params = self.buy_protection_params[index]
if self.buy_params[f"buy_condition_{index}_enable"]:
# Standard protections - Common to every condition
# -----------------------------------------------------------------------------------------
if global_buy_protection_params["ema_fast"]:
item_buy_protection_list.append(
dataframe[f"ema_{global_buy_protection_params['ema_fast_len']}"] > dataframe["ema_200"]
)
if global_buy_protection_params["ema_slow"]:
item_buy_protection_list.append(
dataframe[f"ema_{global_buy_protection_params['ema_slow_len']}_1h"] > dataframe["ema_200_1h"]
)
if global_buy_protection_params["close_above_ema_fast"]:
item_buy_protection_list.append(
dataframe["close"] > dataframe[f"ema_{global_buy_protection_params['close_above_ema_fast_len']}"]
)
if global_buy_protection_params["close_above_ema_slow"]:
item_buy_protection_list.append(
dataframe["close"] > dataframe[f"ema_{global_buy_protection_params['close_above_ema_slow_len']}_1h"]
)
if global_buy_protection_params["sma200_rising"]:
item_buy_protection_list.append(
dataframe["sma_200"] > dataframe["sma_200"].shift(int(global_buy_protection_params["sma200_rising_val"]))
)
if global_buy_protection_params["sma200_1h_rising"]:
item_buy_protection_list.append(
dataframe["sma_200_1h"]
> dataframe["sma_200_1h"].shift(int(global_buy_protection_params["sma200_1h_rising_val"]))
)
if global_buy_protection_params["safe_dips_threshold_0"] is not None:
item_buy_protection_list.append(
dataframe["tpct_change_0"] < global_buy_protection_params["safe_dips_threshold_0"]
)
if global_buy_protection_params["safe_dips_threshold_2"] is not None:
item_buy_protection_list.append(
dataframe["tpct_change_2"] < global_buy_protection_params["safe_dips_threshold_2"]
)
if global_buy_protection_params["safe_dips_threshold_12"] is not None:
item_buy_protection_list.append(
dataframe["tpct_change_12"] < global_buy_protection_params["safe_dips_threshold_12"]
)
if global_buy_protection_params["safe_dips_threshold_144"] is not None:
item_buy_protection_list.append(
dataframe["tpct_change_144"] < global_buy_protection_params["safe_dips_threshold_144"]
)
if global_buy_protection_params["safe_pump_6h_threshold"] is not None:
item_buy_protection_list.append(
dataframe["hl_pct_change_6_1h"] < global_buy_protection_params["safe_pump_6h_threshold"]
)
if global_buy_protection_params["safe_pump_12h_threshold"] is not None:
item_buy_protection_list.append(
dataframe["hl_pct_change_12_1h"] < global_buy_protection_params["safe_pump_12h_threshold"]
)
if global_buy_protection_params["safe_pump_24h_threshold"] is not None:
item_buy_protection_list.append(
dataframe["hl_pct_change_24_1h"] < global_buy_protection_params["safe_pump_24h_threshold"]
)
if global_buy_protection_params["safe_pump_36h_threshold"] is not None:
item_buy_protection_list.append(
dataframe["hl_pct_change_36_1h"] < global_buy_protection_params["safe_pump_36h_threshold"]
)
if global_buy_protection_params["safe_pump_48h_threshold"] is not None:
item_buy_protection_list.append(
dataframe["hl_pct_change_48_1h"] < global_buy_protection_params["safe_pump_48h_threshold"]
)
if global_buy_protection_params["btc_1h_not_downtrend"]:
item_buy_protection_list.append(dataframe["btc_not_downtrend_1h"])
if global_buy_protection_params["close_over_pivot_type"] != "none":
item_buy_protection_list.append(
dataframe["close"]
> dataframe[f"{global_buy_protection_params['close_over_pivot_type']}_1d"]
* global_buy_protection_params["close_over_pivot_offset"]
)
if global_buy_protection_params["close_under_pivot_type"] != "none":
item_buy_protection_list.append(
dataframe["close"]
< dataframe[f"{global_buy_protection_params['close_under_pivot_type']}_1d"]
* global_buy_protection_params["close_under_pivot_offset"]
)
if not self.config["runmode"].value in ("live", "dry_run"):
if self.has_bt_agefilter:
item_buy_protection_list.append(dataframe["bt_agefilter_ok"])
else:
if self.has_downtime_protection:
item_buy_protection_list.append(dataframe["live_data_ok"])
# Buy conditions
# -----------------------------------------------------------------------------------------
item_buy_logic = []
item_buy_logic.append(reduce(lambda x, y: x & y, item_buy_protection_list))
# Condition #1 - Semi swing mode. Increase in the last candles & relative local dip.
if index == 1:
# Non-Standard protections
# Logic
item_buy_logic.append(
((dataframe["close"] - dataframe["open"].rolling(4).min()) / dataframe["open"].rolling(4).min()) > 0.04
)
item_buy_logic.append(dataframe["rsi_14"] < 33.0)
item_buy_logic.append(dataframe["rsi_14_1h"] > 30.0)
item_buy_logic.append(dataframe["rsi_14_1h"] < 50.0)
item_buy_logic.append(dataframe["r_480_1h"] > -99.0)
# Condition #2 - Semi swing. Local dip. Uptrend.
elif index == 2:
# Non-Standard protections
# Logic
item_buy_logic.append(dataframe["ema_26"] > dataframe["ema_12"])
item_buy_logic.append((dataframe["ema_26"] - dataframe["ema_12"]) > (dataframe["open"] * 0.025))
item_buy_logic.append(
(dataframe["ema_26"].shift() - dataframe["ema_12"].shift()) > (dataframe["open"] / 100)
)
item_buy_logic.append(dataframe["close"] < (dataframe["bb20_2_low"] * 0.999))
# Condition #3 - Semi swing. Local dip. Strong uptrend.
elif index == 3:
# Non-Standard protections
# Logic
item_buy_logic.append(dataframe["ewo_ema"] > 4.2)
item_buy_logic.append(dataframe["rsi_14"] < 29.2)
item_buy_logic.append(dataframe["cti"] < -0.88)
item_buy_logic.append(dataframe["cci"] < -133.0)
item_buy_logic.append(dataframe["r_14"] < -97.0)
item_buy_logic.append(dataframe["cti_1h"] < 0.1)
# Condition #4 - Semi swing. Local dip. Uptrend. Strict pump & dip protections.
elif index == 4:
# Non-Standard protections
# Logic
item_buy_logic.append(dataframe["bb40_2_low"].shift().gt(0))
item_buy_logic.append(dataframe["bb40_2_delta"].gt(dataframe["close"] * 0.045))
item_buy_logic.append(dataframe["closedelta"].gt(dataframe["close"] * 0.032))
item_buy_logic.append(dataframe["tail"].lt(dataframe["bb40_2_delta"] * 0.24))
item_buy_logic.append(dataframe["close"].lt(dataframe["bb40_2_low"].shift()))
item_buy_logic.append(dataframe["close"].le(dataframe["close"].shift()))
item_buy_logic.append(dataframe["cti"] < -0.5)
item_buy_logic.append(dataframe["r_14"] < -90.0)
item_buy_logic.append(dataframe["r_64"] < -90.0)
item_buy_logic.append(dataframe["r_96"] < -80.0)
item_buy_logic.append(dataframe["cti_1h"] < 0.8)
item_buy_logic.append(dataframe["r_480_1h"] < -35.0)
# Condition #5 - Semi swing. Local deeper dip. Uptrend.
elif index == 5:
# Non-Standard protections
# Logic
item_buy_logic.append(dataframe["close"] < dataframe["ema_26"] * 0.966)
item_buy_logic.append(dataframe["ewo_ema"] > 4.0)
item_buy_logic.append(dataframe["rsi_14"] < 26.0)
item_buy_logic.append(dataframe["cti"] < -0.75)
item_buy_logic.append(dataframe["r_14"] < -96.0)
item_buy_logic.append(dataframe["mfi"] < 20.0)
# Condition #6 - Semi swing. Local deeper dip. Uptrend.
elif index == 6:
# Non-Standard protections
# Logic
item_buy_logic.append(dataframe["close"] < dataframe["ema_20"] * 0.958)
item_buy_logic.append(dataframe["ewo_ema"] > 2.4)
item_buy_logic.append(dataframe["cci"] < -190.0)
item_buy_logic.append(dataframe["r_14"] < -97.0)
item_buy_logic.append(dataframe["ewo_ema_1h"] > 4.0)
item_buy_logic.append((dataframe["rsi_14_1h"] + dataframe["rsi_14"]) < 74.0)
# Condition #7 - Semi swing. 1h uptrend.
elif index == 7:
# Non-Standard protections (add below)
item_buy_logic.append(dataframe["ema_200_1h"] > dataframe["ema_200_1h"].shift(4))
item_buy_logic.append(dataframe["ema_200_1h"].shift(4) > dataframe["ema_200_1h"].shift(8))
# Logic
item_buy_logic.append(dataframe["ema_26"] > dataframe["ema_12"])
item_buy_logic.append((dataframe["ema_26"] - dataframe["ema_12"]) > (dataframe["open"] * 0.026))
item_buy_logic.append(
(dataframe["ema_26"].shift() - dataframe["ema_12"].shift()) > (dataframe["open"] / 100)
)
item_buy_logic.append(dataframe["close"] < (dataframe["bb20_2_low"] * 0.999))
# Condition #8 - Semi swing. Local dip. 1h minor dip.
elif index == 8:
# Non-Standard protections
# Logic
item_buy_logic.append(dataframe["rsi_14"] < dataframe["rsi_14"].shift(1))
item_buy_logic.append(dataframe["ema_20_1h"] > dataframe["ema_25_1h"])
item_buy_logic.append(dataframe["close"] < (dataframe["sma_15"] * 0.95))
item_buy_logic.append(
((dataframe["open"] < dataframe["ema_20_1h"]) & (dataframe["low"] < dataframe["ema_20_1h"]))
| ((dataframe["open"] > dataframe["ema_20_1h"]) & (dataframe["low"] > dataframe["ema_20_1h"]))
)
item_buy_logic.append(dataframe["cti"] < -0.9)
item_buy_logic.append(dataframe["r_14"] < -92.0)
item_buy_logic.append(dataframe["cti_1h"] < -0.1)
# Condition #9 - Semi swing. Local deep. Uptrend, 1h uptrend.
elif index == 9:
# Non-Standard protections
# Logic
item_buy_logic.append(dataframe["close"].shift(1) < (dataframe["sma_15"].shift(1) * 0.97))
item_buy_logic.append(dataframe["close"] > (dataframe["open"].shift(1)))
item_buy_logic.append(dataframe["ewo_ema"] > 4.2)
item_buy_logic.append(dataframe["cti"] < -0.75)
item_buy_logic.append(dataframe["r_14"].shift(1) < -94.0)
item_buy_logic.append(dataframe["ewo_ema_1h"] > 2.0)
item_buy_logic.append(dataframe["cti_1h"] < -0.75)
# Condition #10 - Semi swing. Local dip.
elif index == 10:
# Non-Standard protections
# Logic
item_buy_logic.append(dataframe["ema_26"] > dataframe["ema_12"])
item_buy_logic.append((dataframe["ema_26"] - dataframe["ema_12"]) > (dataframe["open"] * 0.026))
item_buy_logic.append(
(dataframe["ema_26"].shift() - dataframe["ema_12"].shift()) > (dataframe["open"] / 100)
)
item_buy_logic.append(dataframe["close"] < dataframe["ema_20"] * 0.942)
item_buy_logic.append(dataframe["rsi_14"] < 28.2)
item_buy_logic.append(dataframe["crsi"] > 10.0)
# Condition #11 - Semi swing. Deep local dip. Mild uptrend.
elif index == 11:
# Non-Standard protections
# Logic
item_buy_logic.append(dataframe["close"] < dataframe["ema_20"] * 0.938)
item_buy_logic.append(dataframe["ewo_ema"] > 2.0)
item_buy_logic.append(dataframe["cti"] < -0.87)
item_buy_logic.append(dataframe["r_14"] < -97.0)
item_buy_logic.append(dataframe["r_96"] < -85.0)
# Condition #12 - Semi swing. Downtrend. Dip.
elif index == 12:
# Non-Standard protections
# Logic
item_buy_logic.append(dataframe["close"] < (dataframe["ema_16"] * 0.954))
item_buy_logic.append(dataframe["ewo_ema"] < -8.4)
item_buy_logic.append(dataframe["cti"] < -0.9)
item_buy_logic.append(dataframe["r_14"] < -94.0)
item_buy_logic.append(dataframe["crsi_1h"] > 3.0)
# Condition #13 - Semi swing. 1h uptrend. BTC not downtrend.
elif index == 13:
# Non-Standard protections (add below)
# Logic
item_buy_logic.append(dataframe["ema_26"] > dataframe["ema_12"])
item_buy_logic.append((dataframe["ema_26"] - dataframe["ema_12"]) > (dataframe["open"] * 0.0242))
item_buy_logic.append(
(dataframe["ema_26"].shift() - dataframe["ema_12"].shift()) > (dataframe["open"] / 100)
)
item_buy_logic.append(dataframe["close"] < (dataframe["bb20_2_low"] * 0.998))
# Condition #14 - Semi swing. Uptrend. Local dip.
elif index == 14:
# Non-Standard protections (add below)
# Logic
item_buy_logic.append(dataframe["ewo_ema"] > 7.5)
item_buy_logic.append(dataframe["close"] > (dataframe["close"].shift(1)))
item_buy_logic.append(dataframe["close"].shift(1) < (dataframe["bb20_2_low"].shift(1) * 0.985))
item_buy_logic.append(dataframe["r_14"].shift(1) < -97.0)
item_buy_logic.append(dataframe["r_96"].shift(1) < -85.0)
# Condition #15 - Semi swing. Downtrend.Local dip.
elif index == 15:
# Non-Standard protections (add below)
# Logic
item_buy_logic.append(dataframe["ewo_ema"].shift(1) < -10.4)
item_buy_logic.append(dataframe["cti"].shift(1).rolling(5).max() < -0.88)
item_buy_logic.append(dataframe["r_14"].shift(1) < -90.0)
item_buy_logic.append(dataframe["crsi_1h"] > 2.0)
# Condition #16 - Semi swing. Strong uptrend. 1h uptrend. Local dip. BTC not downtrend.
elif index == 16:
# Non-Standard protections
# Logic
item_buy_logic.append(dataframe["ewo_ema"].shift(1) > 6.5)
item_buy_logic.append(dataframe["close"].shift(1) < (dataframe["sma_30"].shift(1) * 0.988))
item_buy_logic.append(dataframe["close"].shift(1) < (dataframe["bb20_2_low"].shift(1) * 0.996))
item_buy_logic.append(dataframe["rsi_14"].shift(1) < 31.2)
item_buy_logic.append(dataframe["r_14"].shift(1) < -94.0)
item_buy_logic.append(dataframe["r_96"].shift(1) < -80.0)
item_buy_logic.append(dataframe["r_480_1h"] < -20.0)
# Condition #17 - Semi swing. Strong 1h uptrend. BTC not negative. Local dip.
elif index == 17:
# Non-Standard protections (add below)
item_buy_logic.append(dataframe["ema_200_1h"] > dataframe["ema_200_1h"].shift(4))
item_buy_logic.append(dataframe["ema_200_1h"].shift(4) > dataframe["ema_200_1h"].shift(8))
item_buy_logic.append(dataframe["ema_200_1h"].shift(8) > dataframe["ema_200_1h"].shift(12))
# Logic
item_buy_logic.append(dataframe["ema_26"] > dataframe["ema_12"])
item_buy_logic.append((dataframe["ema_26"] - dataframe["ema_12"]) > (dataframe["open"] * 0.018)) # 0.018
item_buy_logic.append(
(dataframe["ema_26"].shift() - dataframe["ema_12"].shift()) > (dataframe["open"] / 100)
)
item_buy_logic.append(dataframe["close"] < (dataframe["bb20_2_low"] * 0.99))
item_buy_logic.append(dataframe["r_14"] < -90.0)
item_buy_logic.append(dataframe["r_96"] < -90.0)
item_buy_logic.append(dataframe["ewo_ema_1h"] > 12.4) # 12.0
item_buy_logic.append(dataframe["cti_1h"] > -0.5)
# Condition #18 - Semi swing. Uptrend. 1h uptrend. Local dip.
elif index == 18:
# Non-Standard protections
# Logic
item_buy_logic.append(dataframe["ewo_ema"] > 6.0)
item_buy_logic.append(dataframe["r_14"] < -97.0)
item_buy_logic.append(dataframe["r_96"] < -97.0)
item_buy_logic.append(dataframe["ewo_ema_1h"] > 2.0)
item_buy_logic.append(dataframe["cti_1h"] > -0.5)
# Condition #19 - Quick mode. Uptrend. Local dip.
elif index == 19:
# Non-Standard protections
# Logic
item_buy_logic.append(dataframe["ewo_ema"] > 6.8)
item_buy_logic.append(dataframe["cci"] < -180.0)
item_buy_logic.append(dataframe["r_14"] < -95.0)
item_buy_logic.append(qtpylib.crossed_below(dataframe["close"], dataframe["ema_200"]))
# Condition #20 - Swing. Uptrend. Bounce from daily support level
elif index == 20:
# Non-Standard protections
item_buy_logic.append(dataframe["close_1h"] > dataframe["sup_level_1d"])
item_buy_logic.append(dataframe["close_1h"] < dataframe["sup_level_1d"] * 1.05)
item_buy_logic.append(dataframe["low_1h"] < dataframe["sup_level_1d"] * 0.99)
item_buy_logic.append(dataframe["close_1h"] < dataframe["res_level_1h"])
item_buy_logic.append(dataframe["res_level_1d"] > dataframe["sup_level_1d"])
# item_buy_logic.append(dataframe['close'].shift(1) < dataframe['sup_level_1d'])
# item_buy_logic.append(dataframe['close'].shift(2) < dataframe['sup_level_1d'])
item_buy_logic.append(dataframe["volume"] > dataframe["volume"].shift() * 3)
item_buy_logic.append(dataframe["rsi_14"] < 65)
item_buy_logic.append(dataframe["rsi_14_1h"] > 48)
item_buy_logic.append(dataframe["vol_osc"] > 0)
# Confirm uptrend - Heikin-Ashi
item_buy_logic.append(dataframe["open_sha_1d"] < dataframe["close_sha_1d"])
item_buy_logic.append(dataframe["open_sha_1d"].shift(96) < dataframe["close_sha_1d"].shift(96))
item_buy_logic.append(dataframe["pivot_1d"] > dataframe["pivot_1d"].shift(96) * 0.95)
# Condition 21 - Semi swing. Uptrend. Local dip. Movement divergence.
elif index == 21:
# Non-Standard protections
# Logic
item_buy_logic.append(dataframe["close"] < (dataframe["ema_25"] * 0.942))
item_buy_logic.append(dataframe["momdiv_buy"])
item_buy_logic.append(dataframe["ewo_ema"] > 2.5)
item_buy_logic.append(dataframe["r_14"] < -97.0) # -97.0
item_buy_logic.append(dataframe["cti_1h"] < 0.5)
item_buy_logic.append(dataframe["volume"] > 0)
item_buy = reduce(lambda x, y: x & y, item_buy_logic)
dataframe.loc[item_buy, "buy_tag"] += f"{index} "
conditions.append(item_buy)
if conditions:
dataframe.loc[:, "buy"] = reduce(lambda x, y: x | y, conditions)
return dataframe
def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
dataframe.loc[:, "sell"] = 0
return dataframe
def confirm_trade_exit(
self,
pair: str,
trade: "Trade",
order_type: str,
amount: float,
rate: float,
time_in_force: str,
sell_reason: str,
**kwargs,
) -> bool:
"""
Called right before placing a regular sell 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 sell_reason: Sell reason.
Can be any of ['roi', 'stop_loss', 'stoploss_on_exchange', 'trailing_stop_loss',
'sell_signal', 'force_sell', 'emergency_sell']
:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
:return bool: When True is returned, then the sell-order is placed on the exchange.
False aborts the process
"""
if self._should_hold_trade(trade, rate, sell_reason):
return False
return True
def _should_hold_trade(self, trade: "Trade", rate: float, sell_reason: str) -> bool:
if self.config["runmode"].value not in ("live", "dry_run"):
return False
if not self.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, sell
return False
if not self.hold_trades_cache.data:
# We have no pairs we want to hold until profit, sell
return False
# By default, no hold should be done
hold_trade = False
trade_ids: dict = self.hold_trades_cache.data.get("trade_ids")
if trade_ids and trade.id in trade_ids:
trade_profit_ratio = trade_ids[trade.id]
current_profit_ratio = trade.calc_profit_ratio(rate)
if sell_reason == "force_sell":
formatted_profit_ratio = f"{trade_profit_ratio * 100}%"
formatted_current_profit_ratio = f"{current_profit_ratio * 100}%"
log.warning(
"Force selling %s even though the current profit of %s < %s",
trade,
formatted_current_profit_ratio,
formatted_profit_ratio,
)
return False
elif current_profit_ratio >= trade_profit_ratio:
# This pair is on the list to hold, and we reached minimum profit, sell
formatted_profit_ratio = f"{trade_profit_ratio * 100}%"
formatted_current_profit_ratio = f"{current_profit_ratio * 100}%"
log.warning(
"Selling %s because the current profit of %s >= %s",
trade,
formatted_current_profit_ratio,
formatted_profit_ratio,
)
return False
# This pair is on the list to hold, and we haven't reached minimum profit, hold
hold_trade = True
trade_pairs: dict = self.hold_trades_cache.data.get("trade_pairs")
if trade_pairs and trade.pair in trade_pairs:
trade_profit_ratio = trade_pairs[trade.pair]
current_profit_ratio = trade.calc_profit_ratio(rate)
if sell_reason == "force_sell":
formatted_profit_ratio = f"{trade_profit_ratio * 100}%"
formatted_current_profit_ratio = f"{current_profit_ratio * 100}%"
log.warning(
"Force selling %s even though the current profit of %s < %s",
trade,
formatted_current_profit_ratio,
formatted_profit_ratio,
)
return False
elif current_profit_ratio >= trade_profit_ratio:
# This pair is on the list to hold, and we reached minimum profit, sell
formatted_profit_ratio = f"{trade_profit_ratio * 100}%"
formatted_current_profit_ratio = f"{current_profit_ratio * 100}%"
log.warning(
"Selling %s because the current profit of %s >= %s",
trade,
formatted_current_profit_ratio,
formatted_profit_ratio,
)
return False
# This pair is on the list to hold, and we haven't reached minimum profit, hold
hold_trade = True
return hold_trade
# Elliot Wave Oscillator
def ewo(dataframe, sma1_length=5, sma2_length=35):
sma1 = ta.SMA(dataframe, timeperiod=sma1_length)
sma2 = ta.SMA(dataframe, timeperiod=sma2_length)
smadif = (sma1 - sma2) / dataframe["close"] * 100
return smadif
def ewo_ema(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
# Modified Elder Ray Index
def moderi(dataframe: DataFrame, len_slow_ma: int = 32) -> Series:
slow_ma = Series(ta.EMA(vwma(dataframe, length=len_slow_ma), timeperiod=len_slow_ma))
return slow_ma >= slow_ma.shift(1) # we just need true & false for ERI trend
# 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
# 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)
buy = qtpylib.crossed_below(mom, lowerband)
sell = 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_buy": buy,
"momdiv_sell": sell,
"momdiv_coh": coh,
"momdiv_col": col,
},
index=dataframe["close"].index,
)
return df
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
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