# source: https://raw.githubusercontent.com/distansa/NostalgiaForInfinity/5535bfe1dc98f8540b483679069e7cc22efa9688/NostalgiaForInfinityX.py import copy import logging import pathlib import rapidjson import freqtrade.vendor.qtpylib.indicators as qtpylib import numpy as np import talib.abstract as ta from freqtrade.strategy.interface import IStrategy from freqtrade.strategy import merge_informative_pair, timeframe_to_minutes from freqtrade.exchange import timeframe_to_prev_date from pandas import DataFrame, Series, concat from functools import reduce import math from typing import Dict from freqtrade.persistence import Trade from datetime import datetime, timedelta from technical.util import resample_to_interval, resampled_merge from technical.indicators import zema, VIDYA, ichimoku 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") ########################################################################################################### ## github_distansa_NostalgiaForInfinity__NostalgiaForInfinityX__20211015_064121 by iterativ ## ## https://github.com/iterativv/NostalgiaForInfinity ## ## ## ## Strategy for Freqtrade https://github.com/freqtrade/freqtrade ## ## ## ########################################################################################################### ## GENERAL RECOMMENDATIONS ## ## ## ## For optimal performance, suggested to use between 4 and 6 open trades, with unlimited stake. ## ## A pairlist with 40 to 80 pairs. Volume pairlist works well. ## ## Prefer stable coin (USDT, BUSDT etc) pairs, instead of BTC or ETH pairs. ## ## Highly recommended to blacklist leveraged tokens (*BULL, *BEAR, *UP, *DOWN etc). ## ## Ensure that you don't override any variables in you config.json. Especially ## ## the timeframe (must be 5m). ## ## use_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 ## ## ## ## Absolutely not required. However, will be accepted as a token of appreciation. ## ## ## ## BTC: bc1qvflsvddkmxh7eqhc4jyu5z5k6xcw3ay8jl49sk ## ## ETH (ERC20): 0x83D3cFb8001BDC5d2211cBeBB8cB3461E5f7Ec91 ## ## BEP20/BSC (ETH, BNB, ...): 0x86A0B21a20b39d16424B7c8003E4A7e12d78ABEe ## ## ## ## REFERRAL LINKS ## ## ## ## Binance: https://accounts.binance.com/en/register?ref=37365811 ## ## Kucoin: https://www.kucoin.com/ucenter/signup?rcode=rJTLZ9K ## ## Huobi: https://www.huobi.com/en-us/topic/double-reward/?invite_code=ubpt2223 ## ########################################################################################################### class github_distansa_NostalgiaForInfinity__NostalgiaForInfinityX__20211015_064121(IStrategy): INTERFACE_VERSION = 2 # ROI table: minimal_roi = { "0": 100.0, } stoploss = -0.99 # Trailing stoploss (not used) trailing_stop = False trailing_only_offset_is_reached = True trailing_stop_positive = 0.01 trailing_stop_positive_offset = 0.03 use_custom_stoploss = False # Optimal timeframe for the strategy. timeframe = '5m' 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, ############# } sell_params = { ############# # Enable/Disable conditions "sell_condition_1_enable": True, ############# } ############################################################# buy_protection_params = { 1: { "ema_fast" : False, "ema_fast_len" : "26", "ema_slow" : True, "ema_slow_len" : "12", "close_above_ema_fast" : False, "close_above_ema_fast_len" : "200", "close_above_ema_slow" : False, "close_above_ema_slow_len" : "200", "sma200_rising" : False, "sma200_rising_val" : "28", "sma200_1h_rising" : False, "sma200_1h_rising_val" : "50", "safe_dips_threshold_0" : 0.03, "safe_dips_threshold_2" : 0.06, "safe_dips_threshold_12" : 0.3, "safe_dips_threshold_144" : None, "safe_pump_6h_threshold" : 0.36, "safe_pump_12h_threshold" : None, "safe_pump_24h_threshold" : None, "safe_pump_36h_threshold" : None, "safe_pump_48h_threshold" : None, "btc_1h_not_downtrend" : False, "close_over_pivot_type" : "none", # 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" : True, "ema_fast_len" : "50", "ema_slow" : True, "ema_slow_len" : "20", "close_above_ema_fast" : False, "close_above_ema_fast_len" : "200", "close_above_ema_slow" : False, "close_above_ema_slow_len" : "200", "sma200_rising" : False, "sma200_rising_val" : "28", "sma200_1h_rising" : True, "sma200_1h_rising_val" : "50", "safe_dips_threshold_0" : 0.03, "safe_dips_threshold_2" : 0.06, "safe_dips_threshold_12" : 0.3, "safe_dips_threshold_144" : None, "safe_pump_6h_threshold" : 0.4, "safe_pump_12h_threshold" : None, "safe_pump_24h_threshold" : None, "safe_pump_36h_threshold" : None, "safe_pump_48h_threshold" : None, "btc_1h_not_downtrend" : False, "close_over_pivot_type" : "none", # 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" : 1.4 }, 3: { "ema_fast" : False, "ema_fast_len" : "50", "ema_slow" : True, "ema_slow_len" : "20", "close_above_ema_fast" : False, "close_above_ema_fast_len" : "200", "close_above_ema_slow" : False, "close_above_ema_slow_len" : "200", "sma200_rising" : False, "sma200_rising_val" : "28", "sma200_1h_rising" : True, "sma200_1h_rising_val" : "50", "safe_dips_threshold_0" : 0.024, "safe_dips_threshold_2" : 0.06, "safe_dips_threshold_12" : 0.34, "safe_dips_threshold_144" : None, "safe_pump_6h_threshold" : 0.4, "safe_pump_12h_threshold" : None, "safe_pump_24h_threshold" : None, "safe_pump_36h_threshold" : None, "safe_pump_48h_threshold" : None, "btc_1h_not_downtrend" : False, "close_over_pivot_type" : "sup2", # 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 }, 4: { "ema_fast" : False, "ema_fast_len" : "50", "ema_slow" : False, "ema_slow_len" : "12", "close_above_ema_fast" : False, "close_above_ema_fast_len" : "200", "close_above_ema_slow" : False, "close_above_ema_slow_len" : "200", "sma200_rising" : False, "sma200_rising_val" : "28", "sma200_1h_rising" : False, "sma200_1h_rising_val" : "50", "safe_dips_threshold_0" : 0.03, "safe_dips_threshold_2" : 0.09, "safe_dips_threshold_12" : 0.54, "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" : 0.7, "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" : 0.95, "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_under_pivot_offset" : 1.4 }, 5: { "ema_fast" : False, "ema_fast_len" : "50", "ema_slow" : False, "ema_slow_len" : "12", "close_above_ema_fast" : False, "close_above_ema_fast_len" : "200", "close_above_ema_slow" : False, "close_above_ema_slow_len" : "200", "sma200_rising" : False, "sma200_rising_val" : "28", "sma200_1h_rising" : False, "sma200_1h_rising_val" : "50", "safe_dips_threshold_0" : 0.025, "safe_dips_threshold_2" : 0.09, "safe_dips_threshold_12" : 0.3, "safe_dips_threshold_144" : 0.9, "safe_pump_6h_threshold" : 0.4, "safe_pump_12h_threshold" : None, "safe_pump_24h_threshold" : None, "safe_pump_36h_threshold" : None, "safe_pump_48h_threshold" : None, "btc_1h_not_downtrend" : False, "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_over_pivot_offset" : 0.95, "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_under_pivot_offset" : 1.4 }, 6: { "ema_fast" : False, "ema_fast_len" : "50", "ema_slow" : False, "ema_slow_len" : "12", "close_above_ema_fast" : False, "close_above_ema_fast_len" : "200", "close_above_ema_slow" : False, "close_above_ema_slow_len" : "200", "sma200_rising" : False, "sma200_rising_val" : "28", "sma200_1h_rising" : True, "sma200_1h_rising_val" : "36", "safe_dips_threshold_0" : 0.02, # 0.03 0.015 "safe_dips_threshold_2" : 0.09, # 0.08 "safe_dips_threshold_12" : 0.3, # 0.48 "safe_dips_threshold_144" : 0.9, # 0.9 "safe_pump_6h_threshold" : 0.4, "safe_pump_12h_threshold" : None, "safe_pump_24h_threshold" : None, "safe_pump_36h_threshold" : None, # 0.7 "safe_pump_48h_threshold" : None, "btc_1h_not_downtrend" : False, "close_over_pivot_type" : "pivot", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_over_pivot_offset" : 0.98, "close_under_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_under_pivot_offset" : 1.4 }, 7: { "ema_fast" : True, "ema_fast_len" : "26", "ema_slow" : True, "ema_slow_len" : "12", "close_above_ema_fast" : False, "close_above_ema_fast_len" : "200", "close_above_ema_slow" : False, "close_above_ema_slow_len" : "200", "sma200_rising" : False, "sma200_rising_val" : "28", "sma200_1h_rising" : False, "sma200_1h_rising_val" : "36", "safe_dips_threshold_0" : 0.02, "safe_dips_threshold_2" : 0.09, "safe_dips_threshold_12" : 0.3, "safe_dips_threshold_144" : 0.9, "safe_pump_6h_threshold" : 0.4, "safe_pump_12h_threshold" : None, "safe_pump_24h_threshold" : None, "safe_pump_36h_threshold" : 0.8, "safe_pump_48h_threshold" : None, "btc_1h_not_downtrend" : False, "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_over_pivot_offset" : 0.98, "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_under_pivot_offset" : 1.6 }, 8: { "ema_fast" : False, "ema_fast_len" : "26", "ema_slow" : True, "ema_slow_len" : "12", "close_above_ema_fast" : False, "close_above_ema_fast_len" : "200", "close_above_ema_slow" : False, "close_above_ema_slow_len" : "200", "sma200_rising" : False, "sma200_rising_val" : "28", "sma200_1h_rising" : True, "sma200_1h_rising_val" : "50", "safe_dips_threshold_0" : 0.028, "safe_dips_threshold_2" : 0.09, "safe_dips_threshold_12" : 0.3, "safe_dips_threshold_144" : 0.9, "safe_pump_6h_threshold" : 0.4, "safe_pump_12h_threshold" : None, "safe_pump_24h_threshold" : None, "safe_pump_36h_threshold" : 0.8, "safe_pump_48h_threshold" : None, "btc_1h_not_downtrend" : False, "close_over_pivot_type" : "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_over_pivot_offset" : 0.98, "close_under_pivot_type" : "res3", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_under_pivot_offset" : 1.6 }, 9: { "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" : True, "sma200_1h_rising_val" : "24", "safe_dips_threshold_0" : 0.028, "safe_dips_threshold_2" : 0.09, "safe_dips_threshold_12" : 0.3, "safe_dips_threshold_144" : 0.9, "safe_pump_6h_threshold" : 0.4, "safe_pump_12h_threshold" : None, "safe_pump_24h_threshold" : None, "safe_pump_36h_threshold" : 0.9, "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 }, 10: { "ema_fast" : False, "ema_fast_len" : "26", "ema_slow" : False, "ema_slow_len" : "12", "close_above_ema_fast" : False, "close_above_ema_fast_len" : "200", "close_above_ema_slow" : False, "close_above_ema_slow_len" : "200", "sma200_rising" : True, "sma200_rising_val" : "30", "sma200_1h_rising" : True, "sma200_1h_rising_val" : "50", "safe_dips_threshold_0" : 0.028, "safe_dips_threshold_2" : 0.09, "safe_dips_threshold_12" : 0.48, "safe_dips_threshold_144" : 0.9, "safe_pump_6h_threshold" : 0.4, "safe_pump_12h_threshold" : None, "safe_pump_24h_threshold" : None, "safe_pump_36h_threshold" : 0.9, "safe_pump_48h_threshold" : None, "btc_1h_not_downtrend" : False, "close_over_pivot_type" : "none", # 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" : "26", "ema_slow" : True, "ema_slow_len" : "50", "close_above_ema_fast" : False, "close_above_ema_fast_len" : "200", "close_above_ema_slow" : False, "close_above_ema_slow_len" : "200", "sma200_rising" : False, "sma200_rising_val" : "30", "sma200_1h_rising" : False, "sma200_1h_rising_val" : "50", "safe_dips_threshold_0" : 0.028, "safe_dips_threshold_2" : 0.09, "safe_dips_threshold_12" : 0.48, "safe_dips_threshold_144" : 0.9, "safe_pump_6h_threshold" : 0.4, "safe_pump_12h_threshold" : None, "safe_pump_24h_threshold" : None, "safe_pump_36h_threshold" : 0.9, "safe_pump_48h_threshold" : None, "btc_1h_not_downtrend" : False, "close_over_pivot_type" : "sup2", # 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" : "26", "ema_slow" : True, "ema_slow_len" : "50", "close_above_ema_fast" : False, "close_above_ema_fast_len" : "200", "close_above_ema_slow" : False, "close_above_ema_slow_len" : "200", "sma200_rising" : False, "sma200_rising_val" : "30", "sma200_1h_rising" : False, "sma200_1h_rising_val" : "50", "safe_dips_threshold_0" : 0.028, "safe_dips_threshold_2" : 0.09, "safe_dips_threshold_12" : 0.48, "safe_dips_threshold_144" : 0.9, "safe_pump_6h_threshold" : 0.4, "safe_pump_12h_threshold" : None, "safe_pump_24h_threshold" : None, "safe_pump_36h_threshold" : 0.9, "safe_pump_48h_threshold" : None, "btc_1h_not_downtrend" : False, "close_over_pivot_type" : "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" : "26", "ema_slow" : False, "ema_slow_len" : "50", "close_above_ema_fast" : False, "close_above_ema_fast_len" : "200", "close_above_ema_slow" : False, "close_above_ema_slow_len" : "200", "sma200_rising" : False, "sma200_rising_val" : "30", "sma200_1h_rising" : False, "sma200_1h_rising_val" : "50", "safe_dips_threshold_0" : 0.028, "safe_dips_threshold_2" : 0.09, "safe_dips_threshold_12" : 0.48, "safe_dips_threshold_144" : 0.9, "safe_pump_6h_threshold" : 0.4, "safe_pump_12h_threshold" : None, "safe_pump_24h_threshold" : None, "safe_pump_36h_threshold" : 0.9, "safe_pump_48h_threshold" : None, "btc_1h_not_downtrend" : False, "close_over_pivot_type" : "none", # 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" : "100", "ema_slow" : False, "ema_slow_len" : "50", "close_above_ema_fast" : False, "close_above_ema_fast_len" : "200", "close_above_ema_slow" : False, "close_above_ema_slow_len" : "200", "sma200_rising" : False, "sma200_rising_val" : "44", "sma200_1h_rising" : False, "sma200_1h_rising_val" : "72", "safe_dips_threshold_0" : 0.028, "safe_dips_threshold_2" : 0.09, "safe_dips_threshold_12" : 0.48, "safe_dips_threshold_144" : 0.9, "safe_pump_6h_threshold" : 0.4, "safe_pump_12h_threshold" : None, "safe_pump_24h_threshold" : None, "safe_pump_36h_threshold" : 0.9, "safe_pump_48h_threshold" : None, "btc_1h_not_downtrend" : False, "close_over_pivot_type" : "none", # 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" : "100", "ema_slow" : True, "ema_slow_len" : "12", "close_above_ema_fast" : False, "close_above_ema_fast_len" : "200", "close_above_ema_slow" : False, "close_above_ema_slow_len" : "200", "sma200_rising" : True, "sma200_rising_val" : "24", "sma200_1h_rising" : False, "sma200_1h_rising_val" : "72", "safe_dips_threshold_0" : 0.028, "safe_dips_threshold_2" : 0.09, "safe_dips_threshold_12" : 0.48, "safe_dips_threshold_144" : 0.9, "safe_pump_6h_threshold" : 0.4, "safe_pump_12h_threshold" : None, "safe_pump_24h_threshold" : None, "safe_pump_36h_threshold" : 0.9, "safe_pump_48h_threshold" : None, "btc_1h_not_downtrend" : False, "close_over_pivot_type" : "none", # 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" : "100", "ema_slow" : False, "ema_slow_len" : "12", "close_above_ema_fast" : False, "close_above_ema_fast_len" : "200", "close_above_ema_slow" : False, "close_above_ema_slow_len" : "200", "sma200_rising" : False, "sma200_rising_val" : "24", "sma200_1h_rising" : True, "sma200_1h_rising_val" : "36", "safe_dips_threshold_0" : 0.02, "safe_dips_threshold_2" : 0.09, "safe_dips_threshold_12" : 0.26, "safe_dips_threshold_144" : 0.44, "safe_pump_6h_threshold" : 0.4, "safe_pump_12h_threshold" : None, "safe_pump_24h_threshold" : None, "safe_pump_36h_threshold" : 0.9, "safe_pump_48h_threshold" : None, "btc_1h_not_downtrend" : False, "close_over_pivot_type" : "none", # 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 }, 17: { "ema_fast" : False, "ema_fast_len" : "100", "ema_slow" : False, "ema_slow_len" : "12", "close_above_ema_fast" : False, "close_above_ema_fast_len" : "200", "close_above_ema_slow" : False, "close_above_ema_slow_len" : "200", "sma200_rising" : False, "sma200_rising_val" : "24", "sma200_1h_rising" : False, "sma200_1h_rising_val" : "36", "safe_dips_threshold_0" : 0.028, "safe_dips_threshold_2" : 0.09, "safe_dips_threshold_12" : 0.26, "safe_dips_threshold_144" : 0.44, "safe_pump_6h_threshold" : 0.4, "safe_pump_12h_threshold" : None, "safe_pump_24h_threshold" : None, "safe_pump_36h_threshold" : 0.6, "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" : "100", "ema_slow" : False, "ema_slow_len" : "12", "close_above_ema_fast" : False, "close_above_ema_fast_len" : "200", "close_above_ema_slow" : False, "close_above_ema_slow_len" : "200", "sma200_rising" : False, "sma200_rising_val" : "24", "sma200_1h_rising" : False, "sma200_1h_rising_val" : "36", "safe_dips_threshold_0" : 0.028, "safe_dips_threshold_2" : 0.09, "safe_dips_threshold_12" : 0.26, "safe_dips_threshold_144" : 0.44, "safe_pump_6h_threshold" : 0.35, "safe_pump_12h_threshold" : 0.45, "safe_pump_24h_threshold" : None, "safe_pump_36h_threshold" : 0.65, "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 } } # Sell sell_condition_1_enable = True ############################################################# # CACHES hold_trades_cache = None target_profit_cache = None ############################################################# def __init__(self, config: dict) -> None: super().__init__(config) if self.target_profit_cache is None: self.target_profit_cache = Cache( self.config["user_data_dir"] / "data-nfi-profit_target_by_pair.json" ) # If the cached data hasn't changed, it's a no-op self.target_profit_cache.save() def get_hold_trades_config_file(self): proper_holds_file_path = self.config["user_data_dir"].resolve() / "nfi-hold-trades.json" if proper_holds_file_path.is_file(): return proper_holds_file_path strat_file_path = pathlib.Path(__file__) hold_trades_config_file_resolve = strat_file_path.resolve().parent / "hold-trades.json" if hold_trades_config_file_resolve.is_file(): log.warning( "Please move %s to %s which is now the expected path for the holds file", hold_trades_config_file_resolve, proper_holds_file_path, ) return hold_trades_config_file_resolve # The resolved path does not exist, is it a symlink? hold_trades_config_file_absolute = strat_file_path.absolute().parent / "hold-trades.json" if hold_trades_config_file_absolute.is_file(): log.warning( "Please move %s to %s which is now the expected path for the holds file", hold_trades_config_file_absolute, proper_holds_file_path, ) return hold_trades_config_file_absolute def load_hold_trades_config(self): if self.hold_trades_cache is None: hold_trades_config_file = self.get_hold_trades_config_file() if hold_trades_config_file: log.warning("Loading hold support data from %s", hold_trades_config_file) self.hold_trades_cache = HoldsCache(hold_trades_config_file) if self.hold_trades_cache: self.hold_trades_cache.load() def whitelist_tracker(self): if sorted(self.coin_metrics['current_whitelist']) != sorted(self.dp.current_whitelist()): log.info("Whitelist has changed...") self.coin_metrics['top_traded_updated'] = False self.coin_metrics['top_grossing_updated'] = False # Update pairlist self.coin_metrics['current_whitelist'] = self.dp.current_whitelist() # Move up BTC for largest data footprint self.coin_metrics['current_whitelist'].insert(0, self.coin_metrics['current_whitelist'].pop(self.coin_metrics['current_whitelist'].index(f"BTC/{self.config['stake_currency']}"))) def top_traded_list(self): log.info("Updating top traded pairlist...") tik = time.perf_counter() self.coin_metrics['tt_dataframe'] = DataFrame() # Build traded volume dataframe for coin_pair in self.coin_metrics['current_whitelist']: coin = coin_pair.split('/')[0] # Get the volume for the daily informative timeframe and name the column for the coin pair_dataframe = self.dp.get_pair_dataframe(pair=coin_pair, timeframe=self.info_timeframe_1d) pair_dataframe.set_index('date') if self.config['runmode'].value in ('live', 'dry_run'): pair_dataframe = pair_dataframe.iloc[-7:,:] # Set the date index of the self.coin_metrics['tt_dataframe'] once if not 'date' in self.coin_metrics['tt_dataframe']: self.coin_metrics['tt_dataframe']['date'] = pair_dataframe['date'] self.coin_metrics['tt_dataframe'].set_index('date') # Calculate daily traded volume pair_dataframe[coin] = pair_dataframe['volume'] * qtpylib.typical_price(pair_dataframe) # Drop the columns we don't need pair_dataframe.drop(columns=['open', 'high', 'low', 'close', 'volume'], inplace=True) # Merge it in on the date key self.coin_metrics['tt_dataframe'] = self.coin_metrics['tt_dataframe'].merge(pair_dataframe, on='date', how='left') # Forward fill empty cells (due to different df shapes) self.coin_metrics['tt_dataframe'].fillna(0, inplace=True) # Store and drop date column for value sorting pair_dates = self.coin_metrics['tt_dataframe']['date'] self.coin_metrics['tt_dataframe'].drop(columns=['date'], inplace=True) # Build columns and top traded coins column_names = [f"Coin #{i}" for i in range(1, self.coin_metrics['top_traded_len'] + 1)] self.coin_metrics['tt_dataframe'][column_names] = self.coin_metrics['tt_dataframe'].apply(lambda x: x.nlargest(self.coin_metrics['top_traded_len']).index.values, axis=1, result_type='expand') self.coin_metrics['tt_dataframe'].drop(columns=[col for col in self.coin_metrics['tt_dataframe'] if col not in column_names], inplace=True) # Re-add stored date column self.coin_metrics['tt_dataframe'].insert(loc = 0, column = 'date', value = pair_dates) self.coin_metrics['tt_dataframe'].set_index('date') self.coin_metrics['top_traded_updated'] = True log.info("Updated top traded pairlist (tail-5):") log.info(f"\n{self.coin_metrics['tt_dataframe'].tail(5)}") tok = time.perf_counter() log.info(f"Updating top traded pairlist took {tok - tik:0.4f} seconds...") def top_grossing_list(self): log.info("Updating top grossing pairlist...") tik = time.perf_counter() self.coin_metrics['tg_dataframe'] = DataFrame() # Build grossing volume dataframe for coin_pair in self.coin_metrics['current_whitelist']: coin = coin_pair.split('/')[0] # Get the volume for the daily informative timeframe and name the column for the coin pair_dataframe = self.dp.get_pair_dataframe(pair=coin_pair, timeframe=self.info_timeframe_1d) pair_dataframe.set_index('date') if self.config['runmode'].value in ('live', 'dry_run'): pair_dataframe = pair_dataframe.iloc[-7:,:] # Set the date index of the self.coin_metrics['tg_dataframe'] once if not 'date' in self.coin_metrics['tg_dataframe']: self.coin_metrics['tg_dataframe']['date'] = pair_dataframe['date'] self.coin_metrics['tg_dataframe'].set_index('date') # Calculate daily grossing rate pair_dataframe[coin] = pair_dataframe['close'].pct_change() * 100 # Drop the columns we don't need pair_dataframe.drop(columns=['open', 'high', 'low', 'close', 'volume'], inplace=True) # Merge it in on the date key self.coin_metrics['tg_dataframe'] = self.coin_metrics['tg_dataframe'].merge(pair_dataframe, on='date', how='left') # Forward fill empty cells (due to different df shapes) self.coin_metrics['tg_dataframe'].fillna(0, inplace=True) # Store and drop date column for value sorting pair_dates = self.coin_metrics['tg_dataframe']['date'] self.coin_metrics['tg_dataframe'].drop(columns=['date'], inplace=True) # Build columns and top grossing coins column_names = [f"Coin #{i}" for i in range(1, self.coin_metrics['top_grossing_len'] + 1)] self.coin_metrics['tg_dataframe'][column_names] = self.coin_metrics['tg_dataframe'].apply(lambda x: x.nlargest(self.coin_metrics['top_grossing_len']).index.values, axis=1, result_type='expand') self.coin_metrics['tg_dataframe'].drop(columns=[col for col in self.coin_metrics['tg_dataframe'] if col not in column_names], inplace=True) # Re-add stored date column self.coin_metrics['tg_dataframe'].insert(loc = 0, column = 'date', value = pair_dates) self.coin_metrics['tg_dataframe'].set_index('date') self.coin_metrics['top_grossing_updated'] = True log.info("Updated top grossing pairlist (tail-5):") log.info(f"\n{self.coin_metrics['tg_dataframe'].tail(5)}") tok = time.perf_counter() log.info(f"Updating top grossing pairlist took {tok - tik:0.4f} seconds...") def is_top_coin(self, coin_pair, row_data, top_length) -> bool: return coin_pair.split('/')[0] in row_data.loc['Coin #1':f"Coin #{top_length}"].values def is_support(self, row_data) -> bool: conditions = [] for row in range(len(row_data)-1): if row < len(row_data)/2: conditions.append(row_data[row] > row_data[row+1]) else: conditions.append(row_data[row] < row_data[row+1]) return reduce(lambda x, y: x & y, conditions) def is_resistance(self, row_data) -> bool: conditions = [] for row in range(len(row_data)-1): if row < len(row_data)/2: conditions.append(row_data[row] < row_data[row+1]) else: conditions.append(row_data[row] > row_data[row+1]) return reduce(lambda x, y: x & y, conditions) def bot_loop_start(self, **kwargs) -> None: """ Called at the start of the bot iteration (one loop). Might be used to perform pair-independent tasks (e.g. gather some remote resource for comparison) :param **kwargs: Ensure to keep this here so updates to this won't break your strategy. """ # Coin metrics mechanism if self.coin_metrics['top_traded_enabled'] or self.coin_metrics['top_grossing_enabled']: self.whitelist_tracker() if self.coin_metrics['top_traded_enabled'] and not self.coin_metrics['top_traded_updated']: self.top_traded_list() if self.coin_metrics['top_grossing_enabled'] and not self.coin_metrics['top_grossing_updated']: self.top_grossing_list() if self.config["runmode"].value not in ("live", "dry_run"): return super().bot_loop_start(**kwargs) if self.holdSupportEnabled: self.load_hold_trades_config() return super().bot_loop_start(**kwargs) def get_ticker_indicator(self): return int(self.timeframe[:-1]) def 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'] > 79.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']) and (previous_candle_3['close'] > previous_candle_3['bb20_2_upp']) and (previous_candle_4['close'] > previous_candle_4['bb20_2_upp']) and (previous_candle_5['close'] > previous_candle_5['bb20_2_upp']): if (last_candle['close'] > last_candle['ema_200']): if (current_profit > 0.01): return True, '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'] > 80.0) and (last_candle['close'] > last_candle['bb20_2_upp']) and (previous_candle_1['close'] > previous_candle_1['bb20_2_upp']) and (previous_candle_2['close'] > previous_candle_2['bb20_2_upp']) and (previous_candle_3['close'] > previous_candle_3['bb20_2_upp']): if (last_candle['close'] > last_candle['ema_200']): if (current_profit > 0.01): return True, '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'] > 83.0): 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']) < 0.024) and last_candle['rsi_14'] > previous_candle_1['rsi_14'] and (last_candle['rsi_14'] > (last_candle['rsi_14_1h'] + 10.0)) and (last_candle['sma_200_dec_24']) and (current_time - timedelta(minutes=2880) > trade.open_date_utc) ): return True, 'sell_stoploss_u_e_1' # if ( # (current_profit < -0.00) # and (last_candle['close'] < last_candle['ema_200']) # and (last_candle['cmf'] < 0.0) # and (((last_candle['ema_200'] - last_candle['close']) / last_candle['close']) < 0.024) # and last_candle['rsi_14'] > previous_candle_1['rsi_14'] # and (last_candle['rsi_14'] > (last_candle['rsi_14_1h'] + 10.0)) # #and (last_candle['sma_200_dec_24']) # and (current_time - timedelta(minutes=60) > trade.open_date_utc) # ): # return True, 'sell_stoploss_u_e_2' # # Under EMA200, local strong uptrend move # if ( # (current_profit < -0.08) # and (last_candle['close'] < last_candle['ema_200']) # and (last_candle['cmf'] < 0.0) # and last_candle['rsi_14'] > previous_candle_1['rsi_14'] # and (last_candle['rsi_14'] > (last_candle['rsi_14_1h'] + 24.0)) # and (last_candle['sma_200_dec_20']) # and (last_candle['sma_200_dec_24']) # and (current_time - timedelta(minutes=2880) > trade.open_date_utc) # ): # return True, 'sell_stoploss_u_e_2' # Under EMA200, pair negative, low max rate if ( (current_profit < -0.08) and (max_profit < 0.05) and (last_candle['close'] < last_candle['ema_200']) and (last_candle['ema_25'] < last_candle['ema_50']) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_24']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['ema_vwma_osc_32'] < 0.0) and (last_candle['ema_vwma_osc_64'] < 0.0) and (last_candle['ema_vwma_osc_96'] < 0.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.0) and (last_candle['close'] < last_candle['sup_level_1h']) and (last_candle['btc_not_downtrend_1h'] == False) and (current_time - timedelta(minutes=2880) > trade.open_date_utc) ): return True, '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 (last_candle['ema_vwma_osc_96'] < 0.0) and (max_profit < 0.005) and (max_loss < 0.09) and (last_candle['ema_vwma_osc_96'] < 0.0) and (max_profit < 0.005) and (max_loss < 0.09) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_24']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['cmf'] < -0.0) and (last_candle['close'] < last_candle['ema_200']) and (last_candle['ema_25'] < last_candle['ema_50']) and (last_candle['cti'] < -0.8) and (last_candle['r_480'] < -50.0) ): return True, '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['ema_vwma_osc_96']): if current_profit >= 0.20: if (last_candle['rsi_14'] < 30.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_o_bull_12_1' elif (last_candle['rsi_14'] < 34.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_o_bull_12_2' elif 0.20 > current_profit >= 0.12: if (last_candle['rsi_14'] < 32.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_o_bull_11_1' elif (last_candle['rsi_14'] < 36.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_o_bull_11_2' elif 0.12 > current_profit >= 0.1: if (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_o_bull_10_1' elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_o_bull_10_2' elif 0.1 > current_profit >= 0.09: if (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_o_bull_9_1' elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_o_bull_9_2' elif 0.09 > current_profit >= 0.08: if (last_candle['rsi_14'] < 39.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_o_bull_8_1' elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_o_bull_8_2' elif 0.08 > current_profit >= 0.07: if (last_candle['rsi_14'] < 38.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_o_bull_7_1' elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_o_bull_7_2' elif 0.07 > current_profit >= 0.06: if (last_candle['rsi_14'] < 37.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_o_bull_6_1' elif (last_candle['rsi_14'] < 54.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_o_bull_6_2' elif 0.06 > current_profit >= 0.05: if (last_candle['rsi_14'] < 36.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_o_bull_5_1' elif (last_candle['rsi_14'] < 58.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_o_bull_5_2' elif 0.05 > current_profit >= 0.04: if (last_candle['rsi_14'] < 35.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_o_bull_4_1' elif (last_candle['rsi_14'] < 62.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_o_bull_4_2' elif 0.04 > current_profit >= 0.03: if (last_candle['rsi_14'] < 34.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_o_bull_3_1' elif (last_candle['rsi_14'] < 56.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_o_bull_3_2' elif 0.03 > current_profit >= 0.02: if (last_candle['rsi_14'] < 33.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_o_bull_2_1' elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_o_bull_2_2' elif 0.02 > current_profit >= 0.012: if (last_candle['rsi_14'] < 32.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_o_bull_1_1' elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_o_bull_1_2' else: if current_profit >= 0.20: if (last_candle['rsi_14'] < 31.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_o_bear_12_1' elif (last_candle['rsi_14'] < 34.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_o_bear_12_2' elif 0.20 > current_profit >= 0.12: if (last_candle['rsi_14'] < 33.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_o_bear_11_1' elif (last_candle['rsi_14'] < 36.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_o_bear_11_2' elif 0.12 > current_profit >= 0.10: if (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_o_bear_10_1' elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_o_bear_10_2' elif 0.10 > current_profit >= 0.09: if (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_o_bear_9_1' elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_o_bear_9_2' elif 0.09 > current_profit >= 0.08: if (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_o_bear_8_1' elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_o_bear_8_2' elif 0.08 > current_profit >= 0.07: if (last_candle['rsi_14'] < 39.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_o_bear_7_1' elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_o_bear_7_2' elif 0.07 > current_profit >= 0.06: if (last_candle['rsi_14'] < 38.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_o_bear_6_1' elif (last_candle['rsi_14'] < 54.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_o_bear_6_2' elif 0.06 > current_profit >= 0.05: if (last_candle['rsi_14'] < 37.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_o_bear_5_1' elif (last_candle['rsi_14'] < 58.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_o_bear_5_2' elif 0.05 > current_profit >= 0.04: if (last_candle['rsi_14'] < 36.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_o_bear_4_1' elif (last_candle['rsi_14'] < 62.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_o_bear_4_2' elif 0.04 > current_profit >= 0.03: if (last_candle['rsi_14'] < 35.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_o_bear_3_1' elif (last_candle['rsi_14'] < 56.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_o_bear_3_2' elif 0.03 > current_profit >= 0.02: if (last_candle['rsi_14'] < 34.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_o_bear_2_1' elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_o_bear_2_2' elif 0.02 > current_profit >= 0.012: if (last_candle['rsi_14'] < 33.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_o_bear_1_1' elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_o_bear_1_2' 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['ema_vwma_osc_96'] > 0.0): if current_profit >= 0.20: if (last_candle['rsi_14'] < 31.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_u_bull_12_1' elif (last_candle['rsi_14'] < 34.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_u_bull_12_2' elif 0.20 > current_profit >= 0.12: if (last_candle['rsi_14'] < 33.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_u_bull_11_1' elif (last_candle['rsi_14'] < 36.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_o_bull_11_2' elif 0.12 > current_profit >= 0.10: if (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_u_bull_10_1' elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_u_bull_10_2' elif 0.10 > current_profit >= 0.09: if (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_u_bull_9_1' elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_u_bull_9_2' elif 0.09 > current_profit >= 0.08: if (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_u_bull_8_1' elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_u_bull_8_2' elif 0.08 > current_profit >= 0.07: if (last_candle['rsi_14'] < 39.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_u_bull_7_1' elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_u_bull_7_2' elif 0.07 > current_profit >= 0.06: if (last_candle['rsi_14'] < 38.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_u_bull_6_1' elif (last_candle['rsi_14'] < 54.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_u_bull_6_2' elif 0.06 > current_profit >= 0.05: if (last_candle['rsi_14'] < 37.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_u_bull_5_1' elif (last_candle['rsi_14'] < 58.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_u_bull_5_2' elif 0.05 > current_profit >= 0.04: if (last_candle['rsi_14'] < 36.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_u_bull_4_1' elif (last_candle['rsi_14'] < 62.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_u_bull_4_2' elif 0.04 > current_profit >= 0.03: if (last_candle['rsi_14'] < 35.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_u_bull_3_1' elif (last_candle['rsi_14'] < 56.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_u_bull_3_2' elif 0.03 > current_profit >= 0.02: if (last_candle['rsi_14'] < 34.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_u_bull_2_1' elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_u_bull_2_2' elif 0.02 > current_profit >= 0.01: if (last_candle['rsi_14'] < 33.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_u_bull_1_1' elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_u_bull_1_2' else: if current_profit >= 0.20: if (last_candle['rsi_14'] < 32.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_u_bear_12_1' elif (last_candle['rsi_14'] < 34.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_u_bear_12_2' elif 0.20 > current_profit >= 0.12: if (last_candle['rsi_14'] < 34.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_u_bear_11_1' elif (last_candle['rsi_14'] < 36.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_u_bear_11_2' elif 0.12 > current_profit >= 0.10: if (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_u_bear_10_1' elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_u_bear_10_2' elif 0.10 > current_profit >= 0.09: if (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_u_bear_9_1' elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_u_bear_9_2' elif 0.09 > current_profit >= 0.08: if (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_u_bear_8_1' elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_u_bear_8_2' elif 0.08 > current_profit >= 0.07: if (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_u_bear_7_1' elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_u_bear_7_2' elif 0.07 > current_profit >= 0.06: if (last_candle['rsi_14'] < 39.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_u_bear_6_1' elif (last_candle['rsi_14'] < 54.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_u_bear_6_2' elif 0.06 > current_profit >= 0.05: if (last_candle['rsi_14'] < 38.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_u_bear_5_1' elif (last_candle['rsi_14'] < 58.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_u_bear_5_2' elif 0.05 > current_profit >= 0.04: if (last_candle['rsi_14'] < 37.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_u_bear_4_1' elif (last_candle['rsi_14'] < 62.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_u_bear_4_2' elif 0.04 > current_profit >= 0.03: if (last_candle['rsi_14'] < 36.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_u_bear_3_1' elif (last_candle['rsi_14'] < 56.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_u_bear_3_2' elif 0.03 > current_profit >= 0.02: if (last_candle['rsi_14'] < 35.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_u_bear_2_1' elif (last_candle['rsi_14'] < 50.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_u_bear_2_2' elif 0.02 > current_profit >= 0.01: if (last_candle['rsi_14'] < 34.0) and (last_candle['cmf'] < 0.0): return True, 'sell_profit_u_bear_1_1' elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.4): return True, 'sell_profit_u_bear_1_2' 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_14'] >= -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 78.0): return True, 'sell_profit_w_1_2' elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] < 42.0): return True, 'sell_profit_w_1_3' elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): return True, 'sell_profit_w_1_4' elif (last_candle['r_14'] >= -2.0) and (last_candle['r_32'] > -2.0) and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 78.0): return True, 'sell_profit_w_1_5' elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -2.0) and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cci'] > 360.0) and (last_candle['r_480_1h'] > -2.0): return True, 'sell_profit_w_1_6' elif (last_candle['rsi_14'] < 44.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0): return True, 'sell_profit_w_1_7' elif (last_candle['r_14'] >= -2.0) and (last_candle['r_96'] >= -2.0) and (last_candle['rsi_14'] > 80.0) and (last_candle['cti'] > 0.9): return True, 'sell_profit_w_1_8' elif (last_candle['r_14'] == 0.0) and (last_candle['r_24'] == 0.0) and (last_candle['rsi_14'] > 76.0): return True, 'sell_profit_w_1_9' elif (last_candle['r_480'] > -10.0) and (last_candle['rsi_14'] > 80.0) and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 220.0): return True, 'sell_profit_w_1_10' elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['r_480'] > -4.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cci'] > 320.0): return True, 'sell_profit_w_1_11' elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -2.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cci'] > 260.0) and (last_candle['r_480_1h'] > -20.0): return True, 'sell_profit_w_1_12' elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_w_1_13' 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_14'] >= -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 77.0): return True, 'sell_profit_w_2_2' elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] < 44.0): return True, 'sell_profit_w_2_3' elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 78.5): return True, 'sell_profit_w_2_4' elif (last_candle['r_14'] >= -2.0) and (last_candle['r_32'] > -2.0) and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 77.0): return True, 'sell_profit_w_2_5' elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -2.0) and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cci'] > 350.0) and (last_candle['r_480_1h'] > -4.0): return True, 'sell_profit_w_2_6' elif (last_candle['rsi_14'] < 45.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0): return True, 'sell_profit_w_2_7' elif (last_candle['r_14'] >= -3.0) and (last_candle['r_96'] >= -2.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.9): return True, 'sell_profit_w_2_8' elif (last_candle['r_14'] == 0.0) and (last_candle['r_24'] == 0.0) and (last_candle['rsi_14'] > 72.0): return True, 'sell_profit_w_2_9' elif (last_candle['r_480'] > -10.0) and (last_candle['rsi_14'] > 80.0) and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 220.0): return True, 'sell_profit_w_2_10' elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['r_480'] > -5.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 300.0): return True, 'sell_profit_w_2_11' elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['cci'] > 250.0) and (last_candle['r_480_1h'] > -20.0): return True, 'sell_profit_w_2_12' elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -2.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_w_2_13' 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_14'] >= -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 76.0): return True, 'sell_profit_w_3_2' elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] < 46.0): return True, 'sell_profit_w_3_3' elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 78.0): return True, 'sell_profit_w_3_4' elif (last_candle['r_14'] >= -2.0) and (last_candle['r_32'] > -2.0) and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 76.0): return True, 'sell_profit_w_3_5' elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -2.0) and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 340.0) and (last_candle['r_480_1h'] > -4.0): return True, 'sell_profit_w_3_6' elif (last_candle['rsi_14'] < 46.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0): return True, 'sell_profit_w_3_7' elif (last_candle['r_14'] >= -4.0) and (last_candle['r_96'] >= -2.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.85): return True, 'sell_profit_w_3_8' elif (last_candle['r_14'] == 0.0) and (last_candle['r_24'] == 0.0) and (last_candle['rsi_14'] > 68.0): return True, 'sell_profit_w_3_9' elif (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 80.0) and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 220.0): return True, 'sell_profit_w_3_10' elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['r_480'] > -6.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 290.0): return True, 'sell_profit_w_3_11' elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cci'] > 240.0) and (last_candle['r_480_1h'] > -20.0): return True, 'sell_profit_w_3_12' elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -2.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_w_3_13' 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_14'] >= -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 75.0): return True, 'sell_profit_w_4_2' elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] < 48.0): return True, 'sell_profit_w_4_3' elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 77.5): return True, 'sell_profit_w_4_4' elif (last_candle['r_14'] >= -2.0) and (last_candle['r_32'] > -2.0) and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 75.0): return True, 'sell_profit_w_4_5' elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -2.0) and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 330.0) and (last_candle['r_480_1h'] > -6.0): return True, 'sell_profit_w_4_6' elif (last_candle['rsi_14'] < 47.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0): return True, 'sell_profit_w_4_7' elif (last_candle['r_14'] >= -5.0) and (last_candle['r_96'] >= -3.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.85): return True, 'sell_profit_w_4_8' elif (last_candle['r_14'] == 0.0) and (last_candle['r_24'] == 0.0) and (last_candle['rsi_14'] > 66.0): return True, 'sell_profit_w_4_9' elif (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 220.0): return True, 'sell_profit_w_4_10' elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['r_480'] > -7.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 280.0): return True, 'sell_profit_w_4_11' elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cci'] > 230.0) and (last_candle['r_480_1h'] > -20.0): return True, 'sell_profit_w_4_12' elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -2.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_w_4_13' elif 0.06 > current_profit >= 0.05: if (last_candle['r_480'] > -0.8): return True, 'sell_profit_w_5_1' elif (last_candle['r_14'] >= -4.0) and (last_candle['r_32'] > -4.0) and (last_candle['r_64'] > -4.0) and (last_candle['rsi_14'] > 74.0): return True, 'sell_profit_w_5_2' elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] < 50.0): return True, 'sell_profit_w_5_3' elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 77.0): return True, 'sell_profit_w_5_4' elif (last_candle['r_14'] >= -2.0) and (last_candle['r_32'] > -2.0) and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 74.0): return True, 'sell_profit_w_5_5' elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -2.0) and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 320.0) and (last_candle['r_480_1h'] > -8.0): return True, 'sell_profit_w_5_6' elif (last_candle['rsi_14'] < 48.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0): return True, 'sell_profit_w_5_7' elif (last_candle['r_14'] >= -5.0) and (last_candle['r_96'] >= -3.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['cti'] > 0.85): return True, 'sell_profit_w_5_8' elif (last_candle['r_14'] == 0.0) and (last_candle['r_24'] == 0.0) and (last_candle['rsi_14'] > 65.0): return True, 'sell_profit_w_5_9' elif (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 220.0): return True, 'sell_profit_w_5_10' elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['r_480'] > -8.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 270.0): return True, 'sell_profit_w_5_11' elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 220.0) and (last_candle['r_480_1h'] > -20.0): return True, 'sell_profit_w_5_12' elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 67.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_w_5_13' elif 0.07 > current_profit >= 0.06: if (last_candle['r_480'] > -0.9): return True, 'sell_profit_w_6_1' elif (last_candle['r_14'] >= -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_64'] > -3.0) and (last_candle['rsi_14'] > 73.0): return True, 'sell_profit_w_6_2' elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] < 52.0): return True, 'sell_profit_w_6_3' elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 76.5): return True, 'sell_profit_w_6_4' elif (last_candle['r_14'] >= -2.0) and (last_candle['r_32'] > -2.0) and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 73.0): return True, 'sell_profit_w_6_5' elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -2.0) and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 310.0) and (last_candle['r_480_1h'] > -10.0): return True, 'sell_profit_w_6_6' elif (last_candle['rsi_14'] < 47.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0): return True, 'sell_profit_w_6_7' elif (last_candle['r_14'] >= -5.0) and (last_candle['r_96'] >= -3.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.85): return True, 'sell_profit_w_6_8' elif (last_candle['r_14'] == 0.0) and (last_candle['r_24'] == 0.0) and (last_candle['rsi_14'] > 68.0): return True, 'sell_profit_w_6_9' elif (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 220.0): return True, 'sell_profit_w_6_10' elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['r_480'] > -9.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 260.0): return True, 'sell_profit_w_6_11' elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cci'] > 230.0) and (last_candle['r_480_1h'] > -20.0): return True, 'sell_profit_w_6_12' elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -2.0) and (last_candle['rsi_14'] > 69.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_w_6_13' elif 0.08 > current_profit >= 0.07: if (last_candle['r_480'] > -1.0): return True, 'sell_profit_w_7_1' elif (last_candle['r_14'] >= -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_64'] > -3.0) and (last_candle['rsi_14'] > 74.0): return True, 'sell_profit_w_7_2' elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] < 50.0): return True, 'sell_profit_w_7_3' elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 76.0): return True, 'sell_profit_w_7_4' elif (last_candle['r_14'] >= -2.0) and (last_candle['r_32'] > -2.0) and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 74.0): return True, 'sell_profit_w_7_5' elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -2.0) and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cci'] > 300.0) and (last_candle['r_480_1h'] > -12.0): return True, 'sell_profit_w_7_6' elif (last_candle['rsi_14'] < 46.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0): return True, 'sell_profit_w_7_7' elif (last_candle['r_14'] >= -4.0) and (last_candle['r_96'] >= -3.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.85): return True, 'sell_profit_w_7_8' elif (last_candle['r_14'] == 0.0) and (last_candle['r_24'] == 0.0) and (last_candle['rsi_14'] > 70.0): return True, 'sell_profit_w_7_9' elif (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 220.0): return True, 'sell_profit_w_7_10' elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['r_480'] > -8.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 270.0): return True, 'sell_profit_w_7_11' elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cci'] > 240.0) and (last_candle['r_480_1h'] > -20.0): return True, 'sell_profit_w_7_12' elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -2.0) and (last_candle['rsi_14'] > 71.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_w_7_13' elif 0.09 > current_profit >= 0.08: if (last_candle['r_480'] > -1.2): return True, 'sell_profit_w_8_1' elif (last_candle['r_14'] >= -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_64'] > -3.0) and (last_candle['rsi_14'] > 75.0): return True, 'sell_profit_w_8_2' elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] < 48.0): return True, 'sell_profit_w_8_3' elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 77.0): return True, 'sell_profit_w_8_4' elif (last_candle['r_14'] >= -2.0) and (last_candle['r_32'] > -2.0) and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 75.0): return True, 'sell_profit_w_8_5' elif (last_candle['r_14'] > -3.0) and (last_candle['r_32'] > -2.0) and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 72.0) and (last_candle['cci'] > 310.0) and (last_candle['r_480_1h'] > -10.0): return True, 'sell_profit_w_8_6' elif (last_candle['rsi_14'] < 45.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0): return True, 'sell_profit_w_8_7' elif (last_candle['r_14'] >= -3.0) and (last_candle['r_96'] >= -3.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.85): return True, 'sell_profit_w_8_8' elif (last_candle['r_14'] == 0.0) and (last_candle['r_24'] == 0.0) and (last_candle['rsi_14'] > 72.0): return True, 'sell_profit_w_8_9' elif (last_candle['r_480'] > -20.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 220.0): return True, 'sell_profit_w_8_10' elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['r_480'] > -7.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 280.0): return True, 'sell_profit_w_8_11' elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['cci'] > 250.0) and (last_candle['r_480_1h'] > -20.0): return True, 'sell_profit_w_8_12' elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -2.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_w_8_13' elif 0.1 > current_profit >= 0.09: if (last_candle['r_480'] > -1.2): return True, 'sell_profit_w_9_1' elif (last_candle['r_14'] >= -3.0) and (last_candle['r_32'] > -3.0) and (last_candle['r_64'] > -3.0) and (last_candle['rsi_14'] > 76.0): return True, 'sell_profit_w_9_2' elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] < 46.0): return True, 'sell_profit_w_9_3' elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 78.0): return True, 'sell_profit_w_9_4' elif (last_candle['r_14'] >= -2.0) and (last_candle['r_32'] > -2.0) and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 76.0): return True, 'sell_profit_w_9_5' elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -2.0) and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 73.0) and (last_candle['cci'] > 320.0) and (last_candle['r_480_1h'] > -8.0): return True, 'sell_profit_w_9_6' elif (last_candle['rsi_14'] < 44.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0): return True, 'sell_profit_w_9_7' elif (last_candle['r_14'] >= -3.0) and (last_candle['r_96'] >= -2.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.85): return True, 'sell_profit_w_9_8' elif (last_candle['r_14'] == 0.0) and (last_candle['r_24'] == 0.0) and (last_candle['rsi_14'] > 74.0): return True, 'sell_profit_w_9_9' elif (last_candle['r_480'] > -10.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 220.0): return True, 'sell_profit_w_9_10' elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['r_480'] > -6.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 290.0): return True, 'sell_profit_w_9_11' elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -3.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cci'] > 260.0) and (last_candle['r_480_1h'] > -20.0): return True, 'sell_profit_w_9_12' elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -2.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_w_9_13' 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_14'] >= -2.0) and (last_candle['r_32'] > -2.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 77.0): return True, 'sell_profit_w_10_2' elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] < 42.0): return True, 'sell_profit_w_10_3' elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 78.5): return True, 'sell_profit_w_10_4' elif (last_candle['r_14'] >= -2.0) and (last_candle['r_32'] > -2.0) and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 77.0): return True, 'sell_profit_w_10_5' elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -2.0) and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 74.0) and (last_candle['cci'] > 330.0) and (last_candle['r_480_1h'] > -6.0): return True, 'sell_profit_w_10_6' elif (last_candle['rsi_14'] < 42.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0): return True, 'sell_profit_w_10_7' elif (last_candle['r_14'] >= -2.0) and (last_candle['r_96'] >= -2.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.9): return True, 'sell_profit_w_10_8' elif (last_candle['r_14'] == 0.0) and (last_candle['r_24'] == 0.0) and (last_candle['rsi_14'] > 76.0): return True, 'sell_profit_w_10_9' elif (last_candle['r_480'] > -10.0) and (last_candle['rsi_14'] > 80.0) and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 240.0): return True, 'sell_profit_w_10_10' elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['r_480'] > -5.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 300.0): return True, 'sell_profit_w_10_11' elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -2.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cci'] > 270.0) and (last_candle['r_480_1h'] > -20.0): return True, 'sell_profit_w_10_12' elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -2.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_w_10_13' 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_14'] >= -2.0) and (last_candle['r_32'] > -2.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 78.0): return True, 'sell_profit_w_11_2' elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] < 36.0): return True, 'sell_profit_w_11_3' elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 79.0): return True, 'sell_profit_w_11_4' elif (last_candle['r_14'] >= -2.0) and (last_candle['r_32'] > -2.0) and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 78.0): return True, 'sell_profit_w_11_5' elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -2.0) and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 75.0) and (last_candle['cci'] > 340.0) and (last_candle['r_480_1h'] > -4.0): return True, 'sell_profit_w_11_6' elif (last_candle['rsi_14'] < 40.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0): return True, 'sell_profit_w_11_7' elif (last_candle['r_14'] >= -1.0) and (last_candle['r_96'] >= -2.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.9): return True, 'sell_profit_w_11_8' elif (last_candle['r_14'] == 0.0) and (last_candle['r_24'] == 0.0) and (last_candle['rsi_14'] > 78.0): return True, 'sell_profit_w_11_9' elif (last_candle['r_480'] > -10.0) and (last_candle['rsi_14'] > 81.0) and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 260.0): return True, 'sell_profit_w_11_10' elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['r_480'] > -4.0) and (last_candle['rsi_14'] > 77.0) and (last_candle['cci'] > 310.0): return True, 'sell_profit_w_11_11' elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -2.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cci'] > 280.0) and (last_candle['r_480_1h'] > -20.0): return True, 'sell_profit_w_11_12' elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 78.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_w_11_13' elif current_profit >= 0.2: if (last_candle['r_480'] > -0.4): return True, 'sell_profit_w_12_1' elif (last_candle['r_14'] >= -2.0) and (last_candle['r_32'] > -2.0) and (last_candle['r_64'] > -2.0) and (last_candle['rsi_14'] > 79.0): return True, 'sell_profit_w_12_2' elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] < 32.0): return True, 'sell_profit_w_12_3' elif (last_candle['r_14'] >= -1.0) and (last_candle['rsi_14'] > 80.0): return True, 'sell_profit_w_12_4' elif (last_candle['r_14'] >= -2.0) and (last_candle['r_32'] > -2.0) and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 79.0): return True, 'sell_profit_w_12_5' elif (last_candle['r_14'] > -2.0) and (last_candle['r_32'] > -2.0) and (last_candle['r_96'] > -2.0) and (last_candle['rsi_14'] > 76.0) and (last_candle['cci'] > 360.0) and (last_candle['r_480_1h'] > -2.0): return True, 'sell_profit_w_12_6' elif (last_candle['rsi_14'] < 38.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf_1h'] < -0.1) and (last_candle['r_480_1h'] > -25.0): return True, 'sell_profit_w_12_7' elif (last_candle['r_14'] >= -1.0) and (last_candle['r_96'] >= -2.0) and (last_candle['rsi_14'] > 80.0) and (last_candle['cti'] > 0.9): return True, 'sell_profit_w_12_8' elif (last_candle['r_14'] == 0.0) and (last_candle['r_24'] == 0.0) and (last_candle['rsi_14'] > 79.0): return True, 'sell_profit_w_12_9' elif (last_candle['r_480'] > -10.0) and (last_candle['rsi_14'] > 81.0) and (last_candle['cti'] > 0.85) and (last_candle['cci'] > 280.0): return True, 'sell_profit_w_12_10' elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['r_480'] > -3.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cci'] > 320.0): return True, 'sell_profit_w_12_11' elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 80.0) and (last_candle['cci'] > 290.0) and (last_candle['r_480_1h'] > -20.0): return True, 'sell_profit_w_12_12' elif (last_candle['r_14'] > -1.0) and (last_candle['r_32'] > -1.0) and (last_candle['rsi_14'] > 79.0) and (last_candle['cti'] > 0.9) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_w_12_13' 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 + 0.01)) and (last_candle['rsi_14'] < 39.0): # 34.0 39.0 return True, 'sell_profit_t_1_1' elif (max_profit > (current_profit + 0.035)) and (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_t_1_2' elif (max_profit > (current_profit + 0.035)) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_t_1_3' elif (max_profit > (current_profit + 0.02)) and (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.0) and (last_candle['cti_1h'] > 0.8): return True, 'sell_profit_t_1_4' elif (max_profit > (current_profit + 0.04)) and (last_candle['rsi_14'] < 49.0) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_t_1_5' elif (max_profit > (current_profit + 0.015)) and (last_candle['rsi_14'] < 42.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf'] < -0.0): return True, 'sell_profit_t_1_6' elif (max_profit > (current_profit + 0.06)) and (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.0): return True, 'sell_profit_t_1_7' elif (max_profit > (current_profit + 0.015)) and (last_candle['rsi_14'] < 41.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['cmf'] < -0.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_t_1_8' elif (max_profit > (current_profit + 0.025)) and (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0): return True, 'sell_profit_t_1_9' elif (max_profit > (current_profit + 0.025)) and (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] > -20.0): return True, 'sell_profit_t_1_10' elif (max_profit > (current_profit + 0.025)) and (last_candle['rsi_14'] < 42.0): return True, 'sell_profit_t_1_11' elif 0.03 > current_profit >= 0.02: if (max_profit > (current_profit + 0.015)) and (last_candle['rsi_14'] < 40.0): return True, 'sell_profit_t_2_1' elif (max_profit > (current_profit + 0.045)) and (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_t_2_2' elif (max_profit > (current_profit + 0.04)) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_t_2_3' elif (max_profit > (current_profit + 0.02)) and (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.0) and (last_candle['cti_1h'] > 0.8): return True, 'sell_profit_t_2_4' elif (max_profit > (current_profit + 0.02)) and (last_candle['rsi_14'] < 43.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf'] < -0.0): return True, 'sell_profit_t_2_6' elif (max_profit > (current_profit + 0.065)) and (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.0): return True, 'sell_profit_t_2_7' elif (max_profit > (current_profit + 0.02)) and (last_candle['rsi_14'] < 42.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['cmf'] < -0.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_t_2_8' elif (max_profit > (current_profit + 0.03)) and (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0): return True, 'sell_profit_t_2_9' elif (max_profit > (current_profit + 0.03)) and (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] > -20.0): return True, 'sell_profit_t_2_10' elif (max_profit > (current_profit + 0.03)) and (last_candle['rsi_14'] < 40.0): return True, 'sell_profit_t_2_11' elif 0.04 > current_profit >= 0.03: if (max_profit > (current_profit + 0.02)) and (last_candle['rsi_14'] < 41.0): return True, 'sell_profit_t_3_1' elif (max_profit > (current_profit + 0.05)) and (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_t_3_2' elif (max_profit > (current_profit + 0.045)) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_t_3_3' elif (max_profit > (current_profit + 0.025)) and (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.0) and (last_candle['cti_1h'] > 0.8): return True, 'sell_profit_t_3_4' elif (max_profit > (current_profit + 0.025)) and (last_candle['rsi_14'] < 44.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf'] < -0.0): return True, 'sell_profit_t_3_6' elif (max_profit > (current_profit + 0.07)) and (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.0): return True, 'sell_profit_t_3_7' elif (max_profit > (current_profit + 0.025)) and (last_candle['rsi_14'] < 43.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['cmf'] < -0.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_t_3_8' elif (max_profit > (current_profit + 0.035)) and (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0): return True, 'sell_profit_t_3_9' elif (max_profit > (current_profit + 0.035)) and (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] > -20.0): return True, 'sell_profit_t_3_10' elif (max_profit > (current_profit + 0.035)) and (last_candle['rsi_14'] < 39.0): return True, 'sell_profit_t_3_11' elif 0.05 > current_profit >= 0.04: if (max_profit > (current_profit + 0.025)) and (last_candle['rsi_14'] < 42.0): return True, 'sell_profit_t_4_1' elif (max_profit > (current_profit + 0.055)) and (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_t_4_2' elif (max_profit > (current_profit + 0.05)) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_t_4_3' elif (max_profit > (current_profit + 0.03)) and (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.0) and (last_candle['cti_1h'] > 0.8): return True, 'sell_profit_t_4_4' elif (max_profit > (current_profit + 0.03)) and (last_candle['rsi_14'] < 45.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf'] < -0.0): return True, 'sell_profit_t_4_6' elif (max_profit > (current_profit + 0.075)) and (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.0): return True, 'sell_profit_t_4_7' elif (max_profit > (current_profit + 0.03)) and (last_candle['rsi_14'] < 44.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['cmf'] < -0.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_t_4_8' elif (max_profit > (current_profit + 0.04)) and (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0): return True, 'sell_profit_t_4_9' elif (max_profit > (current_profit + 0.04)) and (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] > -20.0): return True, 'sell_profit_t_4_10' elif (max_profit > (current_profit + 0.04)) and (last_candle['rsi_14'] < 38.0): return True, 'sell_profit_t_4_11' elif 0.06 > current_profit >= 0.05: if (max_profit > (current_profit + 0.03)) and (last_candle['rsi_14'] < 43.0): return True, 'sell_profit_t_5_1' elif (max_profit > (current_profit + 0.06)) and (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_t_5_2' elif (max_profit > (current_profit + 0.055)) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_t_5_3' elif (max_profit > (current_profit + 0.035)) and (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.0) and (last_candle['cti_1h'] > 0.8): return True, 'sell_profit_t_5_4' elif (max_profit > (current_profit + 0.035)) and (last_candle['rsi_14'] < 46.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf'] < -0.0): return True, 'sell_profit_t_5_6' elif (max_profit > (current_profit + 0.08)) and (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.0): return True, 'sell_profit_t_5_7' elif (max_profit > (current_profit + 0.035)) and (last_candle['rsi_14'] < 45.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['cmf'] < -0.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_t_5_8' elif (max_profit > (current_profit + 0.045)) and (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0): return True, 'sell_profit_t_5_9' elif (max_profit > (current_profit + 0.045)) and (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] > -20.0): return True, 'sell_profit_t_5_10' elif (max_profit > (current_profit + 0.045)) and (last_candle['rsi_14'] < 37.0): return True, 'sell_profit_t_5_11' elif 0.07 > current_profit >= 0.06: if (max_profit > (current_profit + 0.035)) and (last_candle['rsi_14'] < 44.0): return True, 'sell_profit_t_6_1' elif (max_profit > (current_profit + 0.065)) and (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_t_6_2' elif (max_profit > (current_profit + 0.06)) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_t_6_3' elif (max_profit > (current_profit + 0.04)) and (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.0) and (last_candle['cti_1h'] > 0.8): return True, 'sell_profit_t_6_4' elif (max_profit > (current_profit + 0.04)) and (last_candle['rsi_14'] < 45.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf'] < -0.0): return True, 'sell_profit_t_6_6' elif (max_profit > (current_profit + 0.08)) and (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.0): return True, 'sell_profit_t_6_7' elif (max_profit > (current_profit + 0.04)) and (last_candle['rsi_14'] < 44.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['cmf'] < -0.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_t_6_8' elif (max_profit > (current_profit + 0.05)) and (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0): return True, 'sell_profit_t_6_9' elif (max_profit > (current_profit + 0.05)) and (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] > -20.0): return True, 'sell_profit_t_6_10' elif (max_profit > (current_profit + 0.05)) and (last_candle['rsi_14'] < 36.0): return True, 'sell_profit_t_6_11' elif 0.08 > current_profit >= 0.07: if (max_profit > (current_profit + 0.04)) and (last_candle['rsi_14'] < 43.0): return True, 'sell_profit_t_7_1' elif (max_profit > (current_profit + 0.07)) and (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_t_7_2' elif (max_profit > (current_profit + 0.065)) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_t_7_3' elif (max_profit > (current_profit + 0.045)) and (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.0) and (last_candle['cti_1h'] > 0.8): return True, 'sell_profit_t_7_4' elif (max_profit > (current_profit + 0.045)) and (last_candle['rsi_14'] < 44.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf'] < -0.0): return True, 'sell_profit_t_7_6' elif (max_profit > (current_profit + 0.08)) and (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.0): return True, 'sell_profit_t_7_7' elif (max_profit > (current_profit + 0.045)) and (last_candle['rsi_14'] < 43.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['cmf'] < -0.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_t_7_8' elif (max_profit > (current_profit + 0.055)) and (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0): return True, 'sell_profit_t_7_9' elif (max_profit > (current_profit + 0.055)) and (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] > -20.0): return True, 'sell_profit_t_7_10' elif (max_profit > (current_profit + 0.055)) and (last_candle['rsi_14'] < 36.0): return True, 'sell_profit_t_7_11' elif 0.09 > current_profit >= 0.08: if (max_profit > (current_profit + 0.045)) and (last_candle['rsi_14'] < 42.0): return True, 'sell_profit_t_8_1' elif (max_profit > (current_profit + 0.075)) and (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_t_8_2' elif (max_profit > (current_profit + 0.07)) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_t_8_3' elif (max_profit > (current_profit + 0.05)) and (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.0) and (last_candle['cti_1h'] > 0.8): return True, 'sell_profit_t_8_4' elif (max_profit > (current_profit + 0.05)) and (last_candle['rsi_14'] < 43.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf'] < -0.0): return True, 'sell_profit_t_8_6' elif (max_profit > (current_profit + 0.08)) and (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.0): return True, 'sell_profit_t_8_7' elif (max_profit > (current_profit + 0.05)) and (last_candle['rsi_14'] < 42.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['cmf'] < -0.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_t_8_8' elif (max_profit > (current_profit + 0.06)) and (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0): return True, 'sell_profit_t_8_9' elif (max_profit > (current_profit + 0.06)) and (last_candle['rsi_14'] < 39.0) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] > -20.0): return True, 'sell_profit_t_8_10' elif (max_profit > (current_profit + 0.06)) and (last_candle['rsi_14'] < 36.0): return True, 'sell_profit_t_8_11' elif 0.1 > current_profit >= 0.09: if (max_profit > (current_profit + 0.05)) and (last_candle['rsi_14'] < 41.0): return True, 'sell_profit_t_9_1' elif (max_profit > (current_profit + 0.08)) and (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_t_9_2' elif (max_profit > (current_profit + 0.075)) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_t_9_3' elif (max_profit > (current_profit + 0.055)) and (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.0) and (last_candle['cti_1h'] > 0.8): return True, 'sell_profit_t_9_4' elif (max_profit > (current_profit + 0.055)) and (last_candle['rsi_14'] < 42.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf'] < -0.0): return True, 'sell_profit_t_9_6' elif (max_profit > (current_profit + 0.08)) and (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.0): return True, 'sell_profit_t_9_7' elif (max_profit > (current_profit + 0.055)) and (last_candle['rsi_14'] < 41.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['cmf'] < -0.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_t_9_8' elif (max_profit > (current_profit + 0.065)) and (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0): return True, 'sell_profit_t_9_9' elif (max_profit > (current_profit + 0.065)) and (last_candle['rsi_14'] < 38.0) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] > -20.0): return True, 'sell_profit_t_9_10' elif (max_profit > (current_profit + 0.065)) and (last_candle['rsi_14'] < 36.0): return True, 'sell_profit_t_9_11' elif 0.12 > current_profit >= 0.1: if (max_profit > (current_profit + 0.055)) and (last_candle['rsi_14'] < 40.0): return True, 'sell_profit_t_10_1' elif (max_profit > (current_profit + 0.09)) and (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_t_10_2' elif (max_profit > (current_profit + 0.08)) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_t_10_3' elif (max_profit > (current_profit + 0.06)) and (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.0) and (last_candle['cti_1h'] > 0.8): return True, 'sell_profit_t_10_4' elif (max_profit > (current_profit + 0.06)) and (last_candle['rsi_14'] < 41.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf'] < -0.0): return True, 'sell_profit_t_10_6' elif (max_profit > (current_profit + 0.08)) and (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.0): return True, 'sell_profit_t_10_7' elif (max_profit > (current_profit + 0.06)) and (last_candle['rsi_14'] < 40.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['cmf'] < -0.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_t_10_8' elif (max_profit > (current_profit + 0.07)) and (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0): return True, 'sell_profit_t_10_9' elif (max_profit > (current_profit + 0.07)) and (last_candle['rsi_14'] < 39.0) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] > -20.0): return True, 'sell_profit_t_10_10' elif (max_profit > (current_profit + 0.07)) and (last_candle['rsi_14'] < 35.0): return True, 'sell_profit_t_10_11' elif 0.2 > current_profit >= 0.12: if (max_profit > (current_profit + 0.06)) and (last_candle['rsi_14'] < 38.0): return True, 'sell_profit_t_11_1' elif (max_profit > (current_profit + 0.095)) and (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_t_11_2' elif (max_profit > (current_profit + 0.085)) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_t_11_3' elif (max_profit > (current_profit + 0.065)) and (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.0) and (last_candle['cti_1h'] > 0.8): return True, 'sell_profit_t_11_4' elif (max_profit > (current_profit + 0.065)) and (last_candle['rsi_14'] < 40.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf'] < -0.0): return True, 'sell_profit_t_11_6' elif (max_profit > (current_profit + 0.08)) and (last_candle['rsi_14'] < 38.0) and (last_candle['cmf'] < -0.0): return True, 'sell_profit_t_11_7' elif (max_profit > (current_profit + 0.065)) and (last_candle['rsi_14'] < 38.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['cmf'] < -0.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_t_11_8' elif (max_profit > (current_profit + 0.075)) and (last_candle['rsi_14'] < 38.0) and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0): return True, 'sell_profit_t_11_9' elif (max_profit > (current_profit + 0.075)) and (last_candle['rsi_14'] < 38.0) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] > -20.0): return True, 'sell_profit_t_11_10' elif (max_profit > (current_profit + 0.075)) and (last_candle['rsi_14'] < 34.0): return True, 'sell_profit_t_11_11' elif current_profit >= 0.2: if (max_profit > (current_profit + 0.1)) and (last_candle['rsi_14'] < 36.0): return True, 'sell_profit_t_12_1' elif (max_profit > (current_profit + 0.1)) and (last_candle['rsi_14'] < 38.0) and (last_candle['cmf'] < -0.0) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_t_12_2' elif (max_profit > (current_profit + 0.09)) and (last_candle['sma_200_dec_20']) and (last_candle['cmf_1h'] < -0.0): return True, 'sell_profit_t_12_3' elif (max_profit > (current_profit + 0.07)) and (last_candle['rsi_14'] < 38.0) and (last_candle['cmf'] < -0.0) and (last_candle['cti_1h'] > 0.8): return True, 'sell_profit_t_12_4' elif (max_profit > (current_profit + 0.07)) and (last_candle['rsi_14'] < 38.0) and (last_candle['btc_not_downtrend_1h'] == False) and (last_candle['cmf'] < -0.0): return True, 'sell_profit_t_12_6' elif (max_profit > (current_profit + 0.08)) and (last_candle['rsi_14'] < 36.0) and (last_candle['cmf'] < -0.0): return True, 'sell_profit_t_12_7' elif (max_profit > (current_profit + 0.07)) and (last_candle['rsi_14'] < 36.0) and (last_candle['cmf_1h'] < -0.1) and (last_candle['cmf'] < -0.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_t_12_8' elif (max_profit > (current_profit + 0.08)) and (last_candle['rsi_14'] < 36.0) and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 50.0): return True, 'sell_profit_t_12_9' elif (max_profit > (current_profit + 0.08)) and (last_candle['rsi_14'] < 36.0) and (last_candle['cmf'] < -0.0) and (last_candle['r_480_1h'] > -20.0): return True, 'sell_profit_t_12_10' elif (max_profit > (current_profit + 0.08)) and (last_candle['rsi_14'] < 33.0): return True, 'sell_profit_t_12_11' 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'] < 34.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 46.0) and (last_candle['cti'] < -0.75): return True, 'sell_profit_d_o_1_1' elif (last_candle['rsi_14'] < 36.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 38.0): return True, 'sell_profit_d_o_1_2' elif (last_candle['rsi_14'] < 36.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_d_o_1_3' # elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']): # return True, 'sell_profit_d_o_1_4' # elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']): # return True, 'sell_profit_d_o_1_5' elif 0.03 > current_profit >= 0.02: if (last_candle['rsi_14'] < 36.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 48.0) and (last_candle['cti'] > 0.5): return True, 'sell_profit_d_o_2_1' elif (last_candle['rsi_14'] < 38.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): return True, 'sell_profit_d_o_2_2' elif (last_candle['rsi_14'] < 38.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 36.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_d_o_2_3' # elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']): # return True, 'sell_profit_d_o_2_4' # elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']): # return True, 'sell_profit_d_o_2_5' elif 0.04 > current_profit >= 0.03: if (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cti'] > 0.4): return True, 'sell_profit_d_o_3_1' elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 42.0): return True, 'sell_profit_d_u_3_2' elif (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 37.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_d_o_3_3' # elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']): # return True, 'sell_profit_d_o_3_4' # elif (last_candle['rsi_14'] < 55.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']): # return True, 'sell_profit_d_o_3_5' elif 0.05 > current_profit >= 0.04: if (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < 0.05) and (last_candle['rsi_14_1h'] < 55.0) and (last_candle['cti'] > 0.3): return True, 'sell_profit_d_o_4_1' elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 44.0): return True, 'sell_profit_d_o_4_2' elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 38.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_d_o_4_3' # elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']): # return True, 'sell_profit_d_o_4_4' # elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']): # return True, 'sell_profit_d_o_4_5' elif 0.06 > current_profit >= 0.05: if (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 50.0) and (last_candle['cti'] > 0.4): return True, 'sell_profit_d_o_5_1' elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 46.0): return True, 'sell_profit_d_o_5_2' elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 39.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_d_o_5_3' # elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']): # return True, 'sell_profit_d_o_5_4' # elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']): # return True, 'sell_profit_d_o_5_5' elif 0.07 > current_profit >= 0.06: if (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 48.0) and (last_candle['cti'] > 0.5): return True, 'sell_profit_d_o_6_1' elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 44.0): return True, 'sell_profit_d_o_6_2' elif (last_candle['rsi_14'] < 48.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 38.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_d_o_6_3' # elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']): # return True, 'sell_profit_d_o_6_4' # elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']): # return True, 'sell_profit_d_o_6_5' elif 0.08 > current_profit >= 0.07: if (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 46.0) and (last_candle['cti'] > 0.5): return True, 'sell_profit_d_o_7_1' elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 42.0): return True, 'sell_profit_d_o_7_2' elif (last_candle['rsi_14'] < 46.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 37.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_d_o_7_3' # elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']): # return True, 'sell_profit_d_o_7_4' # elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']): # return True, 'sell_profit_d_o_7_5' elif 0.09 > current_profit >= 0.08: if (last_candle['rsi_14'] < 42.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 44.0) and (last_candle['cti_1h'] > 0.5): return True, 'sell_profit_d_o_8_1' elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): return True, 'sell_profit_d_o_8_2' elif (last_candle['rsi_14'] < 44.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 36.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_d_o_8_3' # elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']): # return True, 'sell_profit_d_o_8_4' # elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']): # return True, 'sell_profit_d_o_8_5' elif 0.1 > current_profit >= 0.09: if (last_candle['rsi_14'] < 38.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 42.0) and (last_candle['cti'] > 0.5): return True, 'sell_profit_d_o_9_1' elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 38.0): return True, 'sell_profit_d_o_9_2' elif (last_candle['rsi_14'] < 40.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_d_o_9_3' # elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']): # return True, 'sell_profit_d_o_9_4' # elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']): # return True, 'sell_profit_d_o_9_5' elif 0.12 > current_profit >= 0.1: if (last_candle['rsi_14'] < 36.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.1) and (last_candle['rsi_14_1h'] < 38.0) and (last_candle['cti'] > 0.5): return True, 'sell_profit_d_o_10_1' elif (last_candle['rsi_14'] < 38.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 36.0): return True, 'sell_profit_d_o_10_2' elif (last_candle['rsi_14'] < 38.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 34.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_d_o_10_3' # elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']): # return True, 'sell_profit_d_o_10_4' # elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']): # return True, 'sell_profit_d_o_10_5' elif 0.2 > current_profit >= 0.12: if (last_candle['rsi_14'] < 34.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 35.0) and (last_candle['cti'] > 0.5): return True, 'sell_profit_d_o_11_1' elif (last_candle['rsi_14'] < 36.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 34.0): return True, 'sell_profit_d_o_11_2' elif (last_candle['rsi_14'] < 36.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 33.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_d_o_11_3' # elif (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']): # return True, 'sell_profit_d_o_11_4' # elif (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']): # return True, 'sell_profit_d_o_11_5' elif current_profit >= 0.2: if (last_candle['rsi_14'] < 34.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.2) and (last_candle['rsi_14_1h'] < 34.0) and (last_candle['cti'] > 0.5): return True, 'sell_profit_d_o_12_1' elif (last_candle['rsi_14'] < 35.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 32.0): return True, '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' # elif (last_candle['rsi_14'] < 38.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']): # return True, 'sell_profit_d_o_12_4' # elif (last_candle['rsi_14'] < 39.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']): # return True, 'sell_profit_d_o_12_5' else: if 0.02 > current_profit >= 0.012: if (last_candle['rsi_14'] < 35.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 36.0) and (last_candle['cti_1h'] < -0.85): return True, 'sell_profit_d_u_1_1' elif (last_candle['rsi_14'] < 37.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 42.0): return True, 'sell_profit_d_u_1_2' elif (last_candle['rsi_14'] < 37.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_d_u_1_3' # elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']): # return True, 'sell_profit_d_u_1_4' # elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']): # return True, 'sell_profit_d_u_1_5' elif 0.03 > current_profit >= 0.02: if (last_candle['rsi_14'] < 37.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 39.0) and (last_candle['cti_1h'] < -0.85): return True, 'sell_profit_d_u_2_1' elif (last_candle['rsi_14'] < 39.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 44.0): return True, 'sell_profit_d_u_2_2' elif (last_candle['rsi_14'] < 39.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 36.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_d_u_2_3' # elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']): # return True, 'sell_profit_d_u_2_4' # elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']): # return True, 'sell_profit_d_u_2_5' elif 0.04 > current_profit >= 0.03: if (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 39.5) and (last_candle['cti_1h'] < -0.85): return True, 'sell_profit_d_u_3_1' elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 46.0): return True, 'sell_profit_d_u_3_2' elif (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 37.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_d_u_3_3' # elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']): # return True, 'sell_profit_d_u_3_4' # elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']): # return True, 'sell_profit_d_u_3_5' elif 0.05 > current_profit >= 0.04: if (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 40.0) and (last_candle['cti_1h'] < -0.85): return True, 'sell_profit_d_u_4_1' elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 46.0): return True, 'sell_profit_d_u_4_2' elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 38.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_d_u_4_3' # elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']): # return True, 'sell_profit_d_u_4_4' # elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']): # return True, 'sell_profit_d_u_4_5' elif 0.06 > current_profit >= 0.05: if (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 39.5) and (last_candle['cti_1h'] < -0.85): return True, 'sell_profit_d_u_5_1' elif (last_candle['rsi_14'] < 50.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 50.0): return True, 'sell_profit_d_u_5_2' elif (last_candle['rsi_14'] < 50.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 39.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_d_u_5_3' # elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']): # return True, 'sell_profit_d_u_5_4' # elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']): # return True, 'sell_profit_d_u_5_5' elif 0.07 > current_profit >= 0.06: if (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 39.0) and (last_candle['cti_1h'] < -0.85): return True, 'sell_profit_d_u_6_1' elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 48.0): return True, 'sell_profit_d_u_6_2' elif (last_candle['rsi_14'] < 49.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 38.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_d_u_6_3' # elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']): # return True, 'sell_profit_d_u_6_4' # elif (last_candle['rsi_14'] < 49.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']): # return True, 'sell_profit_d_u_6_5' elif 0.08 > current_profit >= 0.07: if (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 38.5) and (last_candle['cti_1h'] < -0.85): return True, 'sell_profit_d_u_7_1' elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 46.0): return True, 'sell_profit_d_u_7_2' elif (last_candle['rsi_14'] < 47.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 37.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_d_u_7_3' # elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']): # return True, 'sell_profit_d_u_7_4' # elif (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']): # return True, 'sell_profit_d_u_7_5' elif 0.09 > current_profit >= 0.08: if (last_candle['rsi_14'] < 43.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 38.0) and (last_candle['cti_1h'] < -0.85): return True, 'sell_profit_d_u_8_1' elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 44.0): return True, 'sell_profit_d_u_8_2' elif (last_candle['rsi_14'] < 45.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 36.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_d_u_8_3' # elif (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']): # return True, 'sell_profit_d_u_8_4' # elif (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']): # return True, 'sell_profit_d_u_8_5' elif 0.1 > current_profit >= 0.09: if (last_candle['rsi_14'] < 39.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 37.0) and (last_candle['cti_1h'] < -0.85): return True, 'sell_profit_d_u_9_1' elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 42.0): return True, 'sell_profit_d_u_9_2' elif (last_candle['rsi_14'] < 41.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 35.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_d_u_9_3' # elif (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']): # return True, 'sell_profit_d_u_9_4' # elif (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']): # return True, 'sell_profit_d_u_9_5' elif 0.12 > current_profit >= 0.1: if (last_candle['rsi_14'] < 37.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 36.0) and (last_candle['cti_1h'] < -0.85): return True, 'sell_profit_d_u_10_1' elif (last_candle['rsi_14'] < 39.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 40.0): return True, 'sell_profit_d_u_10_2' elif (last_candle['rsi_14'] < 39.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 34.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_d_u_10_3' # elif (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']): # return True, 'sell_profit_d_u_10_4' # elif (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']): # return True, 'sell_profit_d_u_10_5' elif 0.2 > current_profit >= 0.12: if (last_candle['rsi_14'] < 35.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 35.0) and (last_candle['cti_1h'] < -0.85): return True, 'sell_profit_d_u_11_1' elif (last_candle['rsi_14'] < 37.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 38.0): return True, 'sell_profit_d_u_11_2' elif (last_candle['rsi_14'] < 37.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 33.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_d_u_11_3' # elif (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']): # return True, 'sell_profit_d_u_11_4' # elif (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']): # return True, 'sell_profit_d_u_11_5' elif current_profit >= 0.2: if (last_candle['rsi_14'] < 33.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.05) and (last_candle['rsi_14_1h'] < 34.0) and (last_candle['cti_1h'] < -0.85): return True, 'sell_profit_d_u_12_1' elif (last_candle['rsi_14'] < 34.0) and (last_candle['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['rsi_14_1h'] < 36.0): return True, 'sell_profit_d_u_12_2' elif (last_candle['rsi_14'] < 34.0) and (last_candle['sma_200_dec_20']) and (last_candle['cmf'] < -0.0) and (last_candle['rsi_14_1h'] < 32.0) and (last_candle['sma_200_dec_20_1h']): return True, 'sell_profit_d_u_12_3' # elif (last_candle['rsi_14'] < 38.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20_1h']): # return True, 'sell_profit_d_u_12_4' # elif (last_candle['rsi_14'] < 39.0) and (last_candle['cmf'] < -0.1) and (last_candle['sma_200_dec_20']): # return True, 'sell_profit_d_u_12_5' 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['ema_vwma_osc_96'] > 0.0): if current_profit >= 0.2: if (last_candle['rsi_14'] < 30.0): return True, 'sell_profit_p_bull_48_1_12_1' elif 0.2 > current_profit >= 0.12: if (last_candle['rsi_14'] < 32.0): return True, 'sell_profit_p_bull_48_1_11_1' elif 0.12 > current_profit >= 0.1: if (last_candle['rsi_14'] < 40.0): return True, 'sell_profit_p_bull_48_1_10_1' elif 0.1 > current_profit >= 0.09: if (last_candle['rsi_14'] < 47.0): return True, 'sell_profit_p_bull_48_1_9_1' elif 0.09 > current_profit >= 0.08: if (last_candle['rsi_14'] < 46.0): return True, 'sell_profit_p_bull_48_1_8_1' elif 0.08 > current_profit >= 0.07: if (last_candle['rsi_14'] < 45.0): return True, 'sell_profit_p_bull_48_1_7_1' elif 0.07 > current_profit >= 0.06: if (last_candle['rsi_14'] < 44.0): return True, 'sell_profit_p_bull_48_1_6_1' elif 0.06 > current_profit >= 0.05: if (last_candle['rsi_14'] < 43.0): return True, 'sell_profit_p_bull_48_1_5_1' elif 0.05 > current_profit >= 0.04: if (last_candle['rsi_14'] < 42.0): return True, 'sell_profit_p_bull_48_1_4_1' elif 0.04 > current_profit >= 0.03: if (last_candle['rsi_14'] < 38.0): return True, 'sell_profit_p_bull_48_1_3_1' elif 0.03 > current_profit >= 0.02: if (last_candle['rsi_14'] < 34.0): return True, 'sell_profit_p_bull_48_1_2_1' elif 0.02 > current_profit >= 0.01: if (last_candle['rsi_14'] < 32.0): return True, 'sell_profit_p_bull_48_1_1_1' else: if current_profit >= 0.2: if (last_candle['rsi_14'] < 31.0): return True, 'sell_profit_p_bear_48_1_12_1' elif 0.2 > current_profit >= 0.12: if (last_candle['rsi_14'] < 33.0): return True, 'sell_profit_p_bear_48_1_11_1' elif 0.12 > current_profit >= 0.1: if (last_candle['rsi_14'] < 41.0): return True, 'sell_profit_p_bear_48_1_10_1' elif 0.1 > current_profit >= 0.09: if (last_candle['rsi_14'] < 48.0): return True, 'sell_profit_p_bear_48_1_9_1' elif 0.09 > current_profit >= 0.08: if (last_candle['rsi_14'] < 47.0): return True, 'sell_profit_p_bear_48_1_8_1' elif 0.08 > current_profit >= 0.07: if (last_candle['rsi_14'] < 46.0): return True, 'sell_profit_p_bear_48_1_7_1' elif 0.07 > current_profit >= 0.06: if (last_candle['rsi_14'] < 45.0): return True, 'sell_profit_p_bear_48_1_6_1' elif 0.06 > current_profit >= 0.05: if (last_candle['rsi_14'] < 44.0): return True, 'sell_profit_p_bear_48_1_5_1' elif 0.05 > current_profit >= 0.04: if (last_candle['rsi_14'] < 43.0): return True, 'sell_profit_p_bear_48_1_4_1' elif 0.04 > current_profit >= 0.03: if (last_candle['rsi_14'] < 39.0): return True, 'sell_profit_p_bear_48_1_3_1' 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 0.02 > current_profit >= 0.01: if (last_candle['rsi_14'] < 33.0): return True, 'sell_profit_p_bear_48_1_1_1' if (last_candle['hl_pct_change_48_1h'] > 0.8): if (last_candle['ema_vwma_osc_96'] > 0.0): if current_profit >= 0.2: if (last_candle['rsi_14'] < 32.0) and (last_candle['cmf'] < -0.35): return True, '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'] < 45.0) 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'] < 47.0) 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'] < 45.0) 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'] < 43.0) 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'] < 41.0) 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'] < 39.0) 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'] < 37.0) 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'] < 46.0) 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'] < 48.0) 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'] < 46.0) 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'] < 44.0) 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'] < 42.0) 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'] < 40.0) 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'] < 38.0) 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['ema_vwma_osc_96'] > 0.0): if current_profit >= 0.2: if (last_candle['rsi_14'] < 32.0) and (last_candle['cmf'] < -0.35): return True, 'sell_profit_p_bull_48_3_12_1' elif 0.2 > current_profit >= 0.12: if (last_candle['rsi_14'] < 33.0) and (last_candle['cmf'] < -0.35): return True, 'sell_profit_p_bull_48_3_11_1' elif 0.12 > current_profit >= 0.1: if (last_candle['rsi_14'] < 35.0) and (last_candle['cmf'] < -0.35): return True, 'sell_profit_p_bull_48_3_10_1' elif 0.1 > current_profit >= 0.09: if (last_candle['rsi_14'] < 39.0) and (last_candle['cmf'] < -0.3): return True, 'sell_profit_p_bull_48_3_9_1' elif 0.09 > current_profit >= 0.08: if (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.25): return True, 'sell_profit_p_bull_48_3_8_1' elif 0.08 > current_profit >= 0.07: if (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.25): return True, 'sell_profit_p_bull_48_3_7_1' elif 0.07 > current_profit >= 0.06: if (last_candle['rsi_14'] < 47.0) and (last_candle['cmf'] < -0.25): return True, 'sell_profit_p_bull_48_3_6_1' elif 0.06 > current_profit >= 0.05: if (last_candle['rsi_14'] < 45.0) and (last_candle['cmf'] < -0.2): return True, 'sell_profit_p_bull_48_3_5_1' elif 0.05 > current_profit >= 0.04: if (last_candle['rsi_14'] < 43.0) and (last_candle['cmf'] < -0.2): return True, 'sell_profit_p_bull_48_3_4_1' elif 0.04 > current_profit >= 0.03: if (last_candle['rsi_14'] < 41.0) and (last_candle['cmf'] < -0.25): return True, 'sell_profit_p_bull_48_3_3_1' elif 0.03 > current_profit >= 0.02: if (last_candle['rsi_14'] < 39.0) and (last_candle['cmf'] < -0.25): return True, 'sell_profit_p_bull_48_3_2_1' elif 0.02 > current_profit >= 0.01: if (last_candle['rsi_14'] < 37.0) and (last_candle['cmf'] < -0.25): return True, 'sell_profit_p_bull_48_3_2_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_3_12_1' elif 0.2 > current_profit >= 0.12: if (last_candle['rsi_14'] < 34.0) and (last_candle['cmf'] < -0.35): return True, 'sell_profit_p_bear_48_3_11_1' elif 0.12 > current_profit >= 0.1: if (last_candle['rsi_14'] < 36.0) and (last_candle['cmf'] < -0.35): return True, 'sell_profit_p_bear_48_3_10_1' elif 0.1 > current_profit >= 0.09: if (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.3): return True, 'sell_profit_p_bear_48_3_9_1' elif 0.09 > current_profit >= 0.08: if (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.25): return True, 'sell_profit_p_bear_48_3_8_1' elif 0.08 > current_profit >= 0.07: if (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.25): return True, 'sell_profit_p_bear_48_3_7_1' elif 0.07 > current_profit >= 0.06: if (last_candle['rsi_14'] < 48.0) and (last_candle['cmf'] < -0.25): return True, 'sell_profit_p_bear_48_3_6_1' elif 0.06 > current_profit >= 0.05: if (last_candle['rsi_14'] < 46.0) and (last_candle['cmf'] < -0.2): return True, 'sell_profit_p_bear_48_3_5_1' elif 0.05 > current_profit >= 0.04: if (last_candle['rsi_14'] < 44.0) and (last_candle['cmf'] < -0.2): return True, 'sell_profit_p_bear_48_3_4_1' elif 0.04 > current_profit >= 0.03: if (last_candle['rsi_14'] < 42.0) and (last_candle['cmf'] < -0.25): return True, 'sell_profit_p_bear_48_3_3_1' elif 0.03 > current_profit >= 0.02: if (last_candle['rsi_14'] < 40.0) and (last_candle['cmf'] < -0.25): return True, 'sell_profit_p_bear_48_3_2_1' elif 0.02 > current_profit >= 0.01: if (last_candle['rsi_14'] < 38.0) and (last_candle['cmf'] < -0.25): return True, 'sell_profit_p_bear_48_3_1_1' if (last_candle['hl_pct_change_36_1h'] > 0.72): if (last_candle['ema_vwma_osc_96'] > 0.0): if current_profit >= 0.2: if (last_candle['rsi_14'] < 31.0): return True, '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'] < 49.0): return True, 'sell_profit_p_bull_36_1_9_1' elif 0.09 > current_profit >= 0.08: if (last_candle['rsi_14'] < 48.0): return True, 'sell_profit_p_bull_36_1_8_1' elif 0.08 > current_profit >= 0.07: if (last_candle['rsi_14'] < 47.0): return True, 'sell_profit_p_bull_36_1_7_1' elif 0.07 > current_profit >= 0.06: if (last_candle['rsi_14'] < 46.0): return True, 'sell_profit_p_bull_36_1_6_1' 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 0.05 > current_profit >= 0.04: if (last_candle['rsi_14'] < 43.0): return True, 'sell_profit_p_bull_36_1_4_1' 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 0.03 > current_profit >= 0.02: if (last_candle['rsi_14'] < 35.0): return True, 'sell_profit_p_bull_36_1_2_1' elif 0.02 > current_profit >= 0.01: if (last_candle['rsi_14'] < 33.0): return True, 'sell_profit_p_bull_36_1_1_1' 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'] < 50.0): return True, 'sell_profit_p_bear_36_1_9_1' elif 0.09 > current_profit >= 0.08: if (last_candle['rsi_14'] < 49.0): return True, 'sell_profit_p_bear_36_1_8_1' elif 0.08 > current_profit >= 0.07: if (last_candle['rsi_14'] < 48.0): return True, 'sell_profit_p_bear_36_1_7_1' elif 0.07 > current_profit >= 0.06: if (last_candle['rsi_14'] < 47.0): return True, 'sell_profit_p_bear_36_1_6_1' 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 0.05 > current_profit >= 0.04: if (last_candle['rsi_14'] < 44.0): return True, 'sell_profit_p_bear_36_1_4_1' 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 0.03 > current_profit >= 0.02: if (last_candle['rsi_14'] < 36.0): return True, 'sell_profit_p_bear_36_1_2_1' elif 0.02 > current_profit >= 0.01: if (last_candle['rsi_14'] < 34.0): return True, 'sell_profit_p_bear_36_1_1_1' if (last_candle['hl_pct_change_24_1h'] > 0.68): if (last_candle['ema_vwma_osc_96'] > 0.0): if current_profit >= 0.2: if (last_candle['rsi_14'] < 31.0): return True, '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'] < 49.0): return True, 'sell_profit_p_bull_24_1_9_1' elif 0.09 > current_profit >= 0.08: if (last_candle['rsi_14'] < 47.0): return True, 'sell_profit_p_bull_24_1_8_1' elif 0.08 > current_profit >= 0.07: if (last_candle['rsi_14'] < 45.0): return True, 'sell_profit_p_bull_24_1_7_1' elif 0.07 > current_profit >= 0.06: if (last_candle['rsi_14'] < 43.0): return True, 'sell_profit_p_bull_24_1_6_1' elif 0.06 > current_profit >= 0.05: if (last_candle['rsi_14'] < 41.0): return True, 'sell_profit_p_bull_24_1_5_1' elif 0.05 > current_profit >= 0.04: if (last_candle['rsi_14'] < 39.0): return True, 'sell_profit_p_bull_24_1_4_1' elif 0.04 > current_profit >= 0.03: if (last_candle['rsi_14'] < 37.0): return True, 'sell_profit_p_bull_24_1_3_1' 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 0.02 > current_profit >= 0.01: if (last_candle['rsi_14'] < 33.0): return True, 'sell_profit_p_bull_24_1_1_1' 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'] < 50.0): return True, 'sell_profit_p_bear_24_1_9_1' elif 0.09 > current_profit >= 0.08: if (last_candle['rsi_14'] < 48.0): return True, 'sell_profit_p_bear_24_1_8_1' elif 0.08 > current_profit >= 0.07: if (last_candle['rsi_14'] < 46.0): return True, 'sell_profit_p_bear_24_1_7_1' elif 0.07 > current_profit >= 0.06: if (last_candle['rsi_14'] < 44.0): return True, 'sell_profit_p_bear_24_1_6_1' elif 0.06 > current_profit >= 0.05: if (last_candle['rsi_14'] < 42.0): return True, 'sell_profit_p_bear_24_1_5_1' elif 0.05 > current_profit >= 0.04: if (last_candle['rsi_14'] < 40.0): return True, 'sell_profit_p_bear_24_1_4_1' elif 0.04 > current_profit >= 0.03: if (last_candle['rsi_14'] < 38.0): return True, 'sell_profit_p_bear_24_1_3_1' 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 0.02 > current_profit >= 0.01: if (last_candle['rsi_14'] < 34.0): return True, 'sell_profit_p_bear_24_1_1_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'] > 0.95): if ( (-0.04 > current_profit > -0.08) and (max_profit < 0.005) and (max_loss < 0.08) and (last_candle['close'] < last_candle['ema_200']) and (last_candle['sma_200_dec_20']) and (last_candle['ema_vwma_osc_32'] < 0.0) and (last_candle['ema_vwma_osc_64'] < 0.0) and (last_candle['ema_vwma_osc_96'] < 0.0) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_1h'] < -0.0) ): return True, 'sell_stoploss_p_48_1_1' elif ( (-0.04 > current_profit > -0.08) and (max_profit < 0.01) and (max_loss < 0.08) and (last_candle['close'] < last_candle['ema_200']) and (last_candle['sma_200_dec_20']) and (last_candle['ema_vwma_osc_32'] < 0.0) and (last_candle['ema_vwma_osc_64'] < 0.0) and (last_candle['ema_vwma_osc_96'] < 0.0) and (last_candle['cmf'] < -0.25) and (last_candle['cmf_1h'] < -0.0) ): return True, '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['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['ema_vwma_osc_32'] < 0.0) and (last_candle['ema_vwma_osc_64'] < 0.0) and (last_candle['ema_vwma_osc_96'] < 0.0) and (last_candle['cmf'] < -0.25) ): return True, '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['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['ema_vwma_osc_32'] < 0.0) and (last_candle['ema_vwma_osc_64'] < 0.0) and (last_candle['ema_vwma_osc_96'] < 0.0) and (last_candle['cmf'] < -0.25) and (last_candle['rsi_14'] < 40.0) ): return True, '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['sma_200_dec_20']) and (last_candle['sma_200_dec_20_1h']) and (last_candle['ema_vwma_osc_32'] < 0.0) and (last_candle['ema_vwma_osc_64'] < 0.0) and (last_candle['ema_vwma_osc_96'] < 0.0) and (last_candle['cmf'] < -0.25) ): return True, 'sell_stoploss_p_24_1_1' 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) # 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, 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})" 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', 'TRY', 'BRL', 'USDT:USDT', 'BUSD:BUSD', 'USDC:USDC', 'DAI:DAI', 'TUSD:TUSD', 'PAX:PAX', 'USD:USD', 'EUR: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_35'] = ta.EMA(informative_1h, timeperiod=35) informative_1h['ema_50'] = ta.EMA(informative_1h, timeperiod=50) informative_1h['ema_100'] = ta.EMA(informative_1h, timeperiod=100) informative_1h['ema_200'] = ta.EMA(informative_1h, timeperiod=200) # SMA informative_1h['sma_200'] = ta.SMA(informative_1h, timeperiod=200) informative_1h['sma_200_dec_20'] = informative_1h['sma_200'] < informative_1h['sma_200'].shift(20) informative_1h['sma_200_dec_24'] = informative_1h['sma_200'] < informative_1h['sma_200'].shift(24) # BB bollinger = qtpylib.bollinger_bands(qtpylib.typical_price(informative_1h), window=20, stds=2) informative_1h['bb20_2_low'] = bollinger['lower'] informative_1h['bb20_2_mid'] = bollinger['mid'] informative_1h['bb20_2_upp'] = bollinger['upper'] # 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) # 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 # 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) # 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 # Dip protection dataframe['tpct_change_0'] = self.top_percent_change(dataframe,0) dataframe['tpct_change_2'] = self.top_percent_change(dataframe,2) dataframe['tpct_change_12'] = self.top_percent_change(dataframe,12) dataframe['tpct_change_144'] = self.top_percent_change(dataframe,144) if not self.config['runmode'].value in ('live', 'dry_run'): # Backtest age filter dataframe['bt_agefilter_ok'] = False dataframe.loc[dataframe.index > (12 * 24 * self.bt_min_age_days),'bt_agefilter_ok'] = True else: # Exchange downtime protection dataframe['live_data_ok'] = (dataframe['volume'].rolling(window=72, min_periods=72).min() > 0) tok = time.perf_counter() log.debug(f"[{metadata['pair']}] normal_tf_indicators took: {tok - tik:0.4f} seconds.") return dataframe def resampled_tf_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: # Indicators # ----------------------------------------------------------------------------------------- dataframe['rsi_14'] = ta.RSI(dataframe, timeperiod=14) return dataframe def base_tf_btc_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: tik = time.perf_counter() # Indicators # ----------------------------------------------------------------------------------------- dataframe['rsi_14'] = ta.RSI(dataframe, timeperiod=14) # Add prefix # ----------------------------------------------------------------------------------------- ignore_columns = ['date', 'open', 'high', 'low', 'close', 'volume'] dataframe.rename(columns=lambda s: f"btc_{s}" if s not in ignore_columns else s, inplace=True) tok = time.perf_counter() log.debug(f"[{metadata['pair']}] base_tf_btc_indicators took: {tok - tik:0.4f} seconds.") return dataframe def info_tf_btc_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: tik = time.perf_counter() # Indicators # ----------------------------------------------------------------------------------------- dataframe['rsi_14'] = ta.RSI(dataframe, timeperiod=14) dataframe['not_downtrend'] = ((dataframe['close'] > dataframe['close'].shift(2)) | (dataframe['rsi_14'] > 50)) # Add prefix # ----------------------------------------------------------------------------------------- ignore_columns = ['date', 'open', 'high', 'low', 'close', 'volume'] dataframe.rename(columns=lambda s: f"btc_{s}" if s not in ignore_columns else s, inplace=True) tok = time.perf_counter() log.debug(f"[{metadata['pair']}] info_tf_btc_indicators took: {tok - tik:0.4f} seconds.") return dataframe def daily_tf_btc_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: tik = time.perf_counter() # Indicators # ----------------------------------------------------------------------------------------- dataframe['pivot'], dataframe['res1'], dataframe['res2'], dataframe['res3'], dataframe['sup1'], dataframe['sup2'], dataframe['sup3'] = pivot_points(dataframe, mode='fibonacci') # Add prefix # ----------------------------------------------------------------------------------------- ignore_columns = ['date', 'open', 'high', 'low', 'close', 'volume'] dataframe.rename(columns=lambda s: f"btc_{s}" if s not in ignore_columns else s, inplace=True) tok = time.perf_counter() log.debug(f"[{metadata['pair']}] daily_tf_btc_indicators took: {tok - tik:0.4f} seconds.") return dataframe def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: tik = time.perf_counter() ''' --> BTC informative (5m/1h) ___________________________________________________________________________________________ ''' if self.config['stake_currency'] in ['USDT', 'BUSD', 'USDC', 'DAI', 'TUSD', 'PAX', 'USD', 'EUR', 'GBP', 'TRY', 'BRL', 'USDT:USDT', 'BUSD:BUSD', 'USDC:USDC', 'DAI:DAI', 'TUSD:TUSD', 'PAX:PAX', 'USD:USD', 'EUR: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(12).min()) / dataframe['open'].rolling(12).min()) > 0.032) item_buy_logic.append(dataframe['rsi_14'] < 36.0) item_buy_logic.append(dataframe['r_14'] < -75.0) item_buy_logic.append(dataframe['r_32'] < -75.0) item_buy_logic.append(dataframe['mfi'] < 46.0) item_buy_logic.append(dataframe['rsi_14_1h'] > 30.0) item_buy_logic.append(dataframe['rsi_14_1h'] < 84.0) item_buy_logic.append(dataframe['r_480_1h'] > -99.0) # Condition #2 - Semi swing. Local dip. elif index == 2: # Non-Standard protections # Logic item_buy_logic.append(dataframe['rsi_14'] < (dataframe['rsi_14_1h'] - 47.0)) item_buy_logic.append(dataframe['mfi'] < 46.0) item_buy_logic.append(dataframe['cti'] < -0.8) item_buy_logic.append(dataframe['r_14'] < -99.0) item_buy_logic.append(dataframe['r_480'] > -95.0) item_buy_logic.append(dataframe['r_480'] < -20.0) item_buy_logic.append(dataframe['cti_1h'] < 0.9) # Condition #3 - Semi swing. Local dip. elif index == 3: # 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'] * 0.02)) 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_96'] < -80.0) item_buy_logic.append(dataframe['cti_1h'] < -0.75) item_buy_logic.append(dataframe['r_480_1h'] < -30.0) # Condition #4 - Semi swing. Local dip. elif index == 4: # 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'] * 0.02)) 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'] * 0.995)) item_buy_logic.append(dataframe['rsi_14'] > 27.0) item_buy_logic.append(dataframe['mfi'] > 25.0) item_buy_logic.append(dataframe['crsi_1h'] > 14.0) # Condition #5 - Semi swing. Local dip. Uptrend. elif index == 5: # Non-Standard protections item_buy_logic.append(dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(12)) item_buy_logic.append(dataframe['ema_200_1h'].shift(12) > dataframe['ema_200_1h'].shift(24)) # Logic item_buy_logic.append(dataframe['close'] < dataframe['sma_75'] * 0.942) item_buy_logic.append(dataframe['ewo'] > 3.8) item_buy_logic.append(dataframe['cti'] < -0.9) item_buy_logic.append(dataframe['cci'] < -120.0) item_buy_logic.append(dataframe['r_14'] < -97.0) # Condition #6 - Semi swing. Local dip. elif index == 6: # Non-Standard protections # Logic item_buy_logic.append(dataframe['close'] < dataframe['sma_15'] * 0.937) item_buy_logic.append(dataframe['crsi'] < 30.0) item_buy_logic.append(dataframe['rsi_14'] < dataframe['rsi_14'].shift(1)) item_buy_logic.append(dataframe['rsi_14'] < 28.0) item_buy_logic.append(dataframe['cti'] < -0.82) item_buy_logic.append(dataframe['cci'] < -200.0) # Condition #7 - Semi swing. Local dip. elif index == 7: # Non-Standard protections item_buy_logic.append(dataframe['ema_50_1h'] > dataframe['ema_100_1h']) # Logic item_buy_logic.append(dataframe['close'] < dataframe['sma_30'] * 0.94) item_buy_logic.append(dataframe['close'] < dataframe['bb20_2_low'] * 0.984) item_buy_logic.append(dataframe['cti'] < -0.8) item_buy_logic.append(dataframe['r_14'] < -97.0) item_buy_logic.append(dataframe['crsi'] > 8.0) item_buy_logic.append(dataframe['cti_1h'] > -0.5) item_buy_logic.append(dataframe['cti_1h'] < 0.85) # Condition #8 - Semi swing. Local deeper dip. Uptrend. elif index == 8: # Non-Standard protections # Logic item_buy_logic.append(dataframe['close'] < dataframe['sma_30'] * 0.927) item_buy_logic.append(dataframe['ewo'] > 3.0) item_buy_logic.append(dataframe['rsi_14'] < 32.0) item_buy_logic.append(dataframe['cti'] < -0.9) item_buy_logic.append(dataframe['r_14'] < -97.0) # Condition #9 - Semi swing. Local dip. Downtrend. elif index == 9: # Non-Standard protections item_buy_logic.append(dataframe['ema_50_1h'] > dataframe['ema_100_1h']) # Logic item_buy_logic.append(dataframe['close'] < dataframe['sma_30'] * 0.99) item_buy_logic.append(dataframe['cti'] < -0.92) item_buy_logic.append(dataframe['ewo'] < -4.5) item_buy_logic.append(dataframe['cti_1h'] < -0.88) item_buy_logic.append(dataframe['crsi_1h'] > 20.0) # 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'] * 0.017)) 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'] * 0.984)) item_buy_logic.append(dataframe['close'] < dataframe['ema_20'] * 0.965) item_buy_logic.append(dataframe['cti'] < -0.85) # Condition #11 - Semi swing. Local dip. elif index == 11: # 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'] * 0.024)) item_buy_logic.append((dataframe['ema_26'].shift() - dataframe['ema_12'].shift()) > (dataframe['open'] / 100)) item_buy_logic.append(dataframe['close'] < dataframe['ema_20'] * 0.938) # 0.958 0.938 item_buy_logic.append(dataframe['rsi_14'] < 20.0) # 28.0 20.0 item_buy_logic.append(dataframe['crsi_1h'] > 14.0) # Condition #12 - Semi swing. Local deeper dip. Uptrend. elif index == 12: # Non-Standard protections # Logic item_buy_logic.append(dataframe['close'] < dataframe['ema_20'] * 0.935) item_buy_logic.append(dataframe['ewo'] > 2.0) item_buy_logic.append(dataframe['rsi_14'] < 36.0) item_buy_logic.append(dataframe['cti'] < -0.9) item_buy_logic.append(dataframe['r_480_1h'] < -20.0) # Condition #13 - Semi swing. Downtrend. Local dip. elif index == 13: # Non-Standard protections # Logic item_buy_logic.append(dataframe['close'] < dataframe['ema_20'] * 0.999) item_buy_logic.append(dataframe['ewo'] < -5.7) item_buy_logic.append(dataframe['cti'] < -0.97) item_buy_logic.append(dataframe['crsi_1h'] > 12.0) # Condition #14 - Semi swing. Strong uptrend. Local dip. elif index == 14: # Non-Standard protections item_buy_logic.append(dataframe['ema_100_1h'] > dataframe['ema_100_1h'].shift(12)) item_buy_logic.append(dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(36)) # Logic item_buy_logic.append(dataframe['close'] < dataframe['sma_30'] * 0.98) item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * 0.984)) item_buy_logic.append(dataframe['ewo'] > 7.8) # 4.0 7.8 item_buy_logic.append(dataframe['rsi_14'] < 32.0) # 36.0 item_buy_logic.append(dataframe['cti'] < -0.54) item_buy_logic.append(dataframe['cti_1h'] > -0.5) # Condition #15 - Semi swing. Uptrend. Local dip. elif index == 15: # Non-Standard protections # Logic item_buy_logic.append(dataframe['close'] < (dataframe['bb20_2_low'] * 0.986)) item_buy_logic.append(dataframe['ewo'] > 2.0) item_buy_logic.append(dataframe['rsi_14'] < 28.5) item_buy_logic.append(dataframe['cti'] < -0.75) item_buy_logic.append(dataframe['rsi_14_1h'] < 80.0) item_buy_logic.append(dataframe['cti_1h'] < 0.6) # Condition #16 - Semi swing. Cross above. elif index == 16: # Non-Standard protections # Logic item_buy_logic.append(dataframe['ema_12_1h'].shift(12) < dataframe['ema_35_1h'].shift(12)) item_buy_logic.append(dataframe['ema_12_1h'] > dataframe['ema_35_1h']) item_buy_logic.append(dataframe['cmf_1h'].shift(12) < 0.0) item_buy_logic.append(dataframe['cmf_1h'] > 0.0) item_buy_logic.append(dataframe['rsi_14'] < 50.0) item_buy_logic.append(dataframe['cti'] < 0.5) item_buy_logic.append(dataframe['rsi_14_1h'] > 70.0) # Condition #17 - Semi swing. Deep buy. elif index == 17: # Non-Standard protections # Logic item_buy_logic.append(dataframe['r_480'] < -99.0) item_buy_logic.append(dataframe['r_14'] == -100.0) item_buy_logic.append(dataframe['r_480_1h'] < -95.0) item_buy_logic.append(dataframe['rsi_14_1h'] + dataframe['rsi_14'] < 40.0) # Condition #18 - Semi swing. Local dip. BTC not negative. elif index == 18: # Non-Standard protections (add below) # Logic item_buy_logic.append(dataframe['ema_200_1h'] > dataframe['ema_200_1h'].shift(12)) item_buy_logic.append(dataframe['ema_200_1h'].shift(12) > dataframe['ema_200_1h'].shift(24)) item_buy_logic.append(dataframe['ema_26'] > dataframe['ema_12']) item_buy_logic.append((dataframe['ema_26'] - dataframe['ema_12']) > (dataframe['open'] * 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'] * 0.982)) 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.EMA(dataframe, timeperiod=sma1_length) sma2 = ta.EMA(dataframe, timeperiod=sma2_length) smadif = (sma1 - sma2) / dataframe['close'] * 100 return smadif # Chaikin Money Flow def chaikin_money_flow(dataframe, n=20, fillna=False) -> Series: """Chaikin Money Flow (CMF) It measures the amount of Money Flow Volume over a specific period. http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:chaikin_money_flow_cmf Args: dataframe(pandas.Dataframe): dataframe containing ohlcv n(int): n period. fillna(bool): if True, fill nan values. Returns: pandas.Series: New feature generated. """ mfv = ((dataframe['close'] - dataframe['low']) - (dataframe['high'] - dataframe['close'])) / (dataframe['high'] - dataframe['low']) mfv = mfv.fillna(0.0) # float division by zero mfv *= dataframe['volume'] cmf = (mfv.rolling(n, min_periods=0).sum() / dataframe['volume'].rolling(n, min_periods=0).sum()) if fillna: cmf = cmf.replace([np.inf, -np.inf], np.nan).fillna(0) return Series(cmf, name='cmf') # Williams %R def williams_r(dataframe: DataFrame, period: int = 14) -> Series: """Williams %R, or just %R, is a technical analysis oscillator showing the current closing price in relation to the high and low of the past N days (for a given N). It was developed by a publisher and promoter of trading materials, Larry Williams. Its purpose is to tell whether a stock or commodity market is trading near the high or the low, or somewhere in between, of its recent trading range. The oscillator is on a negative scale, from −100 (lowest) up to 0 (highest). """ highest_high = dataframe["high"].rolling(center=False, window=period).max() lowest_low = dataframe["low"].rolling(center=False, window=period).min() WR = Series( (highest_high - dataframe["close"]) / (highest_high - lowest_low), name=f"{period} Williams %R", ) return WR * -100 # Volume Weighted Moving Average def vwma(dataframe: DataFrame, length: int = 10): """Indicator: Volume Weighted Moving Average (VWMA)""" # Calculate Result pv = dataframe['close'] * dataframe['volume'] vwma = Series(ta.SMA(pv, timeperiod=length) / ta.SMA(dataframe['volume'], timeperiod=length)) vwma = vwma.fillna(0, inplace=True) return vwma # Exponential moving average of a volume weighted simple moving average def ema_vwma_osc(dataframe, len_slow_ma): slow_ema = Series(ta.EMA(vwma(dataframe, len_slow_ma), len_slow_ma)) return ((slow_ema - slow_ema.shift(1)) / slow_ema.shift(1)) * 100 def pivot_points(dataframe: DataFrame, mode = 'fibonacci') -> Series: hlc3_pivot = (dataframe['high'] + dataframe['low'] + dataframe['close']).shift(1) / 3 hl_range = (dataframe['high'] - dataframe['low']).shift(1) if mode == 'simple': res1 = hlc3_pivot * 2 - dataframe['low'].shift(1) sup1 = hlc3_pivot * 2 - dataframe['high'].shift(1) res2 = hlc3_pivot + (dataframe['high'] - dataframe['low']).shift() sup2 = hlc3_pivot - (dataframe['high'] - dataframe['low']).shift() res3 = hlc3_pivot * 2 + (dataframe['high'] - 2 * dataframe['low']).shift() sup3 = hlc3_pivot * 2 - (2 * dataframe['high'] - dataframe['low']).shift() elif mode == 'fibonacci': res1 = hlc3_pivot + 0.382 * hl_range sup1 = hlc3_pivot - 0.382 * hl_range res2 = hlc3_pivot + 0.618 * hl_range sup2 = hlc3_pivot - 0.618 * hl_range res3 = hlc3_pivot + 1 * hl_range sup3 = hlc3_pivot - 1 * hl_range return hlc3_pivot, res1, res2, res3, sup1, sup2, sup3 def heikin_ashi(dataframe, smooth_inputs = False, smooth_outputs = False, length = 10): df = dataframe[['open','close','high','low']].copy().fillna(0) if smooth_inputs: df['open_s'] = ta.EMA(df['open'], timeframe = length) df['high_s'] = ta.EMA(df['high'], timeframe = length) df['low_s'] = ta.EMA(df['low'], timeframe = length) df['close_s'] = ta.EMA(df['close'],timeframe = length) open_ha = (df['open_s'].shift(1) + df['close_s'].shift(1)) / 2 high_ha = df.loc[:, ['high_s', 'open_s', 'close_s']].max(axis=1) low_ha = df.loc[:, ['low_s', 'open_s', 'close_s']].min(axis=1) close_ha = (df['open_s'] + df['high_s'] + df['low_s'] + df['close_s'])/4 else: open_ha = (df['open'].shift(1) + df['close'].shift(1)) / 2 high_ha = df.loc[:, ['high', 'open', 'close']].max(axis=1) low_ha = df.loc[:, ['low', 'open', 'close']].min(axis=1) close_ha = (df['open'] + df['high'] + df['low'] + df['close'])/4 open_ha = open_ha.fillna(0) high_ha = high_ha.fillna(0) low_ha = low_ha.fillna(0) close_ha = close_ha.fillna(0) if smooth_outputs: open_sha = ta.EMA(open_ha, timeframe = length) high_sha = ta.EMA(high_ha, timeframe = length) low_sha = ta.EMA(low_ha, timeframe = length) close_sha = ta.EMA(close_ha, timeframe = length) return open_sha, close_sha, low_sha else: return open_ha, close_ha, low_ha 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 '/' 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