# source: https://raw.githubusercontent.com/iterativv/NostalgiaForInfinity/843d095f4508eb7b46fdf7ef11470842c407188b/legacy/NostalgiaForInfinityNextGen.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 pandas import DataFrame, Series from functools import reduce from freqtrade.persistence import Trade from datetime import datetime, timedelta from technical.util import resample_to_interval, resampled_merge import time log = logging.getLogger(__name__) # log.setLevel(logging.DEBUG) try: import pandas_ta as pta except ImportError: log.error( "IMPORTANT - please install the pandas_ta python module which is needed for this strategy. " "If you're running Docker, add RUN pip install pandas_ta to your Dockerfile, otherwise run: " "pip install pandas_ta" ) else: log.info("pandas_ta successfully imported") ########################################################################################################### ## NostalgiaForInfinityV9 by iterativ ## ## https://github.com/iterativv/NostalgiaForInfinity ## ## ## ## Strategy for Freqtrade https://github.com/freqtrade/freqtrade ## ## ## ########################################################################################################### ## GENERAL RECOMMENDATIONS ## ## ## ## For optimal performance, suggested to use between 4 and 6 open trades, with unlimited stake. ## ## A pairlist with 40 to 80 pairs. Volume pairlist works well. ## ## Prefer stable coin (USDT, BUSDT etc) pairs, instead of BTC or ETH pairs. ## ## Highly recommended to blacklist leveraged tokens (*BULL, *BEAR, *UP, *DOWN etc). ## ## Ensure that you don't override any variables in you config.json. Especially ## ## the timeframe (must be 15m). ## ## use_sell_signal must set to true (or not set at all). ## ## sell_profit_only must set to false (or not set at all). ## ## ignore_roi_if_buy_signal must set to true (or not set at all). ## ## ## ########################################################################################################### ## HOLD SUPPORT ## ## ## ## -------- SPECIFIC TRADES ---------------------------------------------------------------------------- ## ## In case you want to have SOME of the trades to only be sold when on profit, add a file named ## ## "nfi-hold-trades.json" in the user_data directory ## ## ## ## The contents should be similar to: ## ## ## ## {"trade_ids": [1, 3, 7], "profit_ratio": 0.005} ## ## ## ## Or, for individual profit ratios(Notice the trade ID's as strings: ## ## ## ## {"trade_ids": {"1": 0.001, "3": -0.005, "7": 0.05}} ## ## ## ## NOTE: ## ## * `trade_ids` is a list of integers, the trade ID's, which you can get from the logs or from the ## ## output of the telegram status command. ## ## * Regardless of the defined profit ratio(s), the strategy MUST still produce a SELL signal for the ## ## HOLD support logic to run ## ## * This feature can be completely disabled with the holdSupportEnabled class attribute ## ## ## ## -------- SPECIFIC PAIRS ----------------------------------------------------------------------------- ## ## In case you want to have some pairs to always be on held until a specific profit, using the same ## ## "hold-trades.json" file add something like: ## ## ## ## {"trade_pairs": {"BTC/USDT": 0.001, "ETH/USDT": -0.005}} ## ## ## ## -------- SPECIFIC TRADES AND PAIRS ------------------------------------------------------------------ ## ## It is also valid to include specific trades and pairs on the holds file, for example: ## ## ## ## {"trade_ids": {"1": 0.001}, "trade_pairs": {"BTC/USDT": 0.001}} ## ########################################################################################################### ## DONATIONS ## ## ## ## BTC: bc1qvflsvddkmxh7eqhc4jyu5z5k6xcw3ay8jl49sk ## ## ETH (ERC20): 0x83D3cFb8001BDC5d2211cBeBB8cB3461E5f7Ec91 ## ## BEP20/BSC (USDT, ETH, BNB, ...): 0x86A0B21a20b39d16424B7c8003E4A7e12d78ABEe ## ## TRC20/TRON (USDT, TRON, ...): TTAa9MX6zMLXNgWMhg7tkNormVHWCoq8Xk ## ## ## ## REFERRAL LINKS ## ## ## ## Binance: https://accounts.binance.com/en/register?ref=EAZC47FM (5% discount on trading fees) ## ## Kucoin: https://www.kucoin.com/r/QBSSSPYV (5% discount on trading fees) ## ## Gate.io: https://www.gate.io/signup/8054544 (10% discount on trading fees) ## ## OKEx: https://www.okex.com/join/11749725760 (5% discount on trading fees) ## ## Huobi: https://www.huobi.com/en-us/topic/double-reward/?invite_code=ubpt2223 ## ########################################################################################################### class Github_iterativv_NostalgiaForInfinity__NostalgiaForInfinityNextGen__20240106_181624(IStrategy): INTERFACE_VERSION = 2 # ROI table: minimal_roi = { "0": 100.0, } stoploss = -0.50 # Trailing stoploss (not used) trailing_stop = False trailing_only_offset_is_reached = True trailing_stop_positive = 0.01 trailing_stop_positive_offset = 0.03 use_custom_stoploss = False # Optimal timeframe for the strategy. timeframe = "15m" res_timeframe = "none" info_timeframe_1h = "1h" info_timeframe_1d = "1d" # BTC informative has_BTC_base_tf = False has_BTC_info_tf = True has_BTC_daily_tf = False # Backtest Age Filter emulation has_bt_agefilter = False bt_min_age_days = 3 # Exchange Downtime protection has_downtime_protection = False # Do you want to use the hold feature? (with hold-trades.json) holdSupportEnabled = True # Coin Metrics coin_metrics = {} coin_metrics["top_traded_enabled"] = False coin_metrics["top_traded_updated"] = False coin_metrics["top_traded_len"] = 10 coin_metrics["tt_dataframe"] = DataFrame() coin_metrics["top_grossing_enabled"] = False coin_metrics["top_grossing_updated"] = False coin_metrics["top_grossing_len"] = 20 coin_metrics["tg_dataframe"] = DataFrame() coin_metrics["current_whitelist"] = [] # Run "populate_indicators()" only for new candle. process_only_new_candles = True # These values can be overridden in the "ask_strategy" section in the config. use_sell_signal = True sell_profit_only = False ignore_roi_if_buy_signal = True # Number of candles the strategy requires before producing valid signals startup_candle_count: int = 480 # Optional order type mapping. order_types = { "buy": "limit", "sell": "limit", "trailing_stop_loss": "limit", "stoploss": "limit", "stoploss_on_exchange": False, "stoploss_on_exchange_interval": 60, "stoploss_on_exchange_limit_ratio": 0.99, } ############################################################# buy_params = { ############# # Enable/Disable conditions "buy_condition_1_enable": True, "buy_condition_2_enable": True, "buy_condition_3_enable": True, "buy_condition_4_enable": True, "buy_condition_5_enable": True, "buy_condition_6_enable": True, "buy_condition_7_enable": True, "buy_condition_8_enable": True, "buy_condition_9_enable": True, "buy_condition_10_enable": True, "buy_condition_11_enable": True, "buy_condition_12_enable": True, "buy_condition_13_enable": True, "buy_condition_14_enable": True, "buy_condition_15_enable": True, "buy_condition_16_enable": True, "buy_condition_17_enable": True, "buy_condition_18_enable": True, "buy_condition_19_enable": True, "buy_condition_20_enable": True, "buy_condition_21_enable": True, ############# } sell_params = { ############# # Enable/Disable conditions "sell_condition_1_enable": True, ############# } ############################################################# buy_protection_params = { 1: { "ema_fast": False, "ema_fast_len": "26", "ema_slow": False, "ema_slow_len": "12", "close_above_ema_fast": False, "close_above_ema_fast_len": "200", "close_above_ema_slow": False, "close_above_ema_slow_len": "200", "sma200_rising": False, "sma200_rising_val": "28", "sma200_1h_rising": False, "sma200_1h_rising_val": "50", "safe_dips_threshold_0": None, "safe_dips_threshold_2": None, "safe_dips_threshold_12": None, "safe_dips_threshold_144": None, "safe_pump_6h_threshold": 0.36, "safe_pump_12h_threshold": None, "safe_pump_24h_threshold": None, "safe_pump_36h_threshold": None, "safe_pump_48h_threshold": None, "btc_1h_not_downtrend": False, "close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_over_pivot_offset": 1.0, "close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_under_pivot_offset": 1.0, }, 2: { "ema_fast": False, "ema_fast_len": "50", "ema_slow": True, "ema_slow_len": "12", "close_above_ema_fast": False, "close_above_ema_fast_len": "200", "close_above_ema_slow": False, "close_above_ema_slow_len": "200", "sma200_rising": False, "sma200_rising_val": "50", "sma200_1h_rising": False, "sma200_1h_rising_val": "50", "safe_dips_threshold_0": 0.06, "safe_dips_threshold_2": None, "safe_dips_threshold_12": None, "safe_dips_threshold_144": None, "safe_pump_6h_threshold": 0.4, "safe_pump_12h_threshold": None, "safe_pump_24h_threshold": None, "safe_pump_36h_threshold": None, "safe_pump_48h_threshold": 1.45, "btc_1h_not_downtrend": True, "close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_over_pivot_offset": 1.0, "close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_under_pivot_offset": 1.0, }, 3: { "ema_fast": False, "ema_fast_len": "50", "ema_slow": True, "ema_slow_len": "12", "close_above_ema_fast": False, "close_above_ema_fast_len": "200", "close_above_ema_slow": False, "close_above_ema_slow_len": "200", "sma200_rising": False, "sma200_rising_val": "50", "sma200_1h_rising": False, "sma200_1h_rising_val": "50", "safe_dips_threshold_0": 0.05, "safe_dips_threshold_2": 0.12, "safe_dips_threshold_12": None, "safe_dips_threshold_144": 0.3, "safe_pump_6h_threshold": 0.45, "safe_pump_12h_threshold": None, "safe_pump_24h_threshold": None, "safe_pump_36h_threshold": None, "safe_pump_48h_threshold": None, "btc_1h_not_downtrend": False, "close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_over_pivot_offset": 1.0, "close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_under_pivot_offset": 1.0, }, 4: { "ema_fast": False, "ema_fast_len": "50", "ema_slow": True, "ema_slow_len": "50", "close_above_ema_fast": False, "close_above_ema_fast_len": "200", "close_above_ema_slow": False, "close_above_ema_slow_len": "200", "sma200_rising": False, "sma200_rising_val": "50", "sma200_1h_rising": True, "sma200_1h_rising_val": "50", "safe_dips_threshold_0": 0.045, "safe_dips_threshold_2": 0.12, "safe_dips_threshold_12": 0.34, "safe_dips_threshold_144": 0.48, "safe_pump_6h_threshold": None, "safe_pump_12h_threshold": 0.42, "safe_pump_24h_threshold": None, "safe_pump_36h_threshold": None, "safe_pump_48h_threshold": None, "btc_1h_not_downtrend": False, "close_over_pivot_type": "sup3", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_over_pivot_offset": 0.97, "close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_under_pivot_offset": 1.0, }, 5: { "ema_fast": False, "ema_fast_len": "50", "ema_slow": False, "ema_slow_len": "50", "close_above_ema_fast": False, "close_above_ema_fast_len": "200", "close_above_ema_slow": False, "close_above_ema_slow_len": "200", "sma200_rising": False, "sma200_rising_val": "50", "sma200_1h_rising": True, "sma200_1h_rising_val": "24", "safe_dips_threshold_0": 0.03, "safe_dips_threshold_2": 0.14, "safe_dips_threshold_12": 0.28, "safe_dips_threshold_144": 0.44, "safe_pump_6h_threshold": None, "safe_pump_12h_threshold": None, "safe_pump_24h_threshold": None, "safe_pump_36h_threshold": None, "safe_pump_48h_threshold": 1.5, "btc_1h_not_downtrend": False, "close_over_pivot_type": "sup3", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_over_pivot_offset": 1.0, "close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_under_pivot_offset": 1.3, }, 6: { "ema_fast": False, "ema_fast_len": "12", "ema_slow": True, "ema_slow_len": "50", "close_above_ema_fast": False, "close_above_ema_fast_len": "200", "close_above_ema_slow": False, "close_above_ema_slow_len": "200", "sma200_rising": False, "sma200_rising_val": "50", "sma200_1h_rising": False, "sma200_1h_rising_val": "24", "safe_dips_threshold_0": 0.08, "safe_dips_threshold_2": 0.16, "safe_dips_threshold_12": 0.4, "safe_dips_threshold_144": 0.8, "safe_pump_6h_threshold": None, "safe_pump_12h_threshold": None, "safe_pump_24h_threshold": None, "safe_pump_36h_threshold": None, "safe_pump_48h_threshold": 1.3, "btc_1h_not_downtrend": False, "close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_over_pivot_offset": 1.0, "close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_under_pivot_offset": 1.15, }, 7: { "ema_fast": False, "ema_fast_len": "50", "ema_slow": False, "ema_slow_len": "50", "close_above_ema_fast": False, "close_above_ema_fast_len": "200", "close_above_ema_slow": False, "close_above_ema_slow_len": "200", "sma200_rising": False, "sma200_rising_val": "50", "sma200_1h_rising": False, "sma200_1h_rising_val": "24", "safe_dips_threshold_0": 0.05, "safe_dips_threshold_2": 0.1, "safe_dips_threshold_12": 0.2, "safe_dips_threshold_144": 0.6, "safe_pump_6h_threshold": None, "safe_pump_12h_threshold": None, "safe_pump_24h_threshold": None, "safe_pump_36h_threshold": None, "safe_pump_48h_threshold": None, "btc_1h_not_downtrend": True, "close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_over_pivot_offset": 1.0, "close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_under_pivot_offset": 1.1, }, 8: { "ema_fast": False, "ema_fast_len": "50", "ema_slow": True, "ema_slow_len": "12", "close_above_ema_fast": False, "close_above_ema_fast_len": "200", "close_above_ema_slow": False, "close_above_ema_slow_len": "200", "sma200_rising": False, "sma200_rising_val": "24", "sma200_1h_rising": True, "sma200_1h_rising_val": "50", "safe_dips_threshold_0": 0.04, "safe_dips_threshold_2": 0.18, "safe_dips_threshold_12": 0.48, "safe_dips_threshold_144": 0.9, "safe_pump_6h_threshold": None, "safe_pump_12h_threshold": None, "safe_pump_24h_threshold": None, "safe_pump_36h_threshold": None, "safe_pump_48h_threshold": 0.9, "btc_1h_not_downtrend": False, "close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_over_pivot_offset": 1.0, "close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_under_pivot_offset": 1.15, }, 9: { "ema_fast": False, "ema_fast_len": "50", "ema_slow": True, "ema_slow_len": "12", "close_above_ema_fast": False, "close_above_ema_fast_len": "200", "close_above_ema_slow": False, "close_above_ema_slow_len": "200", "sma200_rising": False, "sma200_rising_val": "24", "sma200_1h_rising": False, "sma200_1h_rising_val": "50", "safe_dips_threshold_0": 0.04, "safe_dips_threshold_2": 0.1, "safe_dips_threshold_12": 0.26, "safe_dips_threshold_144": 0.38, "safe_pump_6h_threshold": None, "safe_pump_12h_threshold": None, "safe_pump_24h_threshold": None, "safe_pump_36h_threshold": None, "safe_pump_48h_threshold": 0.9, "btc_1h_not_downtrend": False, "close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_over_pivot_offset": 1.0, "close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_under_pivot_offset": 1.0, }, 10: { "ema_fast": False, "ema_fast_len": "50", "ema_slow": True, "ema_slow_len": "50", "close_above_ema_fast": False, "close_above_ema_fast_len": "200", "close_above_ema_slow": False, "close_above_ema_slow_len": "200", "sma200_rising": False, "sma200_rising_val": "24", "sma200_1h_rising": False, "sma200_1h_rising_val": "50", "safe_dips_threshold_0": 0.03, "safe_dips_threshold_2": 0.07, "safe_dips_threshold_12": 0.26, "safe_dips_threshold_144": 0.38, "safe_pump_6h_threshold": 0.45, "safe_pump_12h_threshold": None, "safe_pump_24h_threshold": None, "safe_pump_36h_threshold": None, "safe_pump_48h_threshold": None, "btc_1h_not_downtrend": False, "close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_over_pivot_offset": 1.0, "close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_under_pivot_offset": 1.0, }, 11: { "ema_fast": False, "ema_fast_len": "50", "ema_slow": True, "ema_slow_len": "50", "close_above_ema_fast": False, "close_above_ema_fast_len": "200", "close_above_ema_slow": False, "close_above_ema_slow_len": "200", "sma200_rising": False, "sma200_rising_val": "24", "sma200_1h_rising": False, "sma200_1h_rising_val": "50", "safe_dips_threshold_0": 0.04, "safe_dips_threshold_2": 0.08, "safe_dips_threshold_12": 0.26, "safe_dips_threshold_144": 0.38, "safe_pump_6h_threshold": None, "safe_pump_12h_threshold": None, "safe_pump_24h_threshold": None, "safe_pump_36h_threshold": None, "safe_pump_48h_threshold": 0.9, "btc_1h_not_downtrend": False, "close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_over_pivot_offset": 1.0, "close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_under_pivot_offset": 1.0, }, 12: { "ema_fast": False, "ema_fast_len": "50", "ema_slow": False, "ema_slow_len": "50", "close_above_ema_fast": False, "close_above_ema_fast_len": "200", "close_above_ema_slow": False, "close_above_ema_slow_len": "200", "sma200_rising": False, "sma200_rising_val": "24", "sma200_1h_rising": False, "sma200_1h_rising_val": "50", "safe_dips_threshold_0": 0.04, "safe_dips_threshold_2": 0.09, "safe_dips_threshold_12": 0.32, "safe_dips_threshold_144": 0.44, "safe_pump_6h_threshold": 0.22, "safe_pump_12h_threshold": 0.45, "safe_pump_24h_threshold": None, "safe_pump_36h_threshold": None, "safe_pump_48h_threshold": None, "btc_1h_not_downtrend": False, "close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_over_pivot_offset": 1.0, "close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_under_pivot_offset": 1.0, }, 13: { "ema_fast": False, "ema_fast_len": "50", "ema_slow": False, "ema_slow_len": "12", "close_above_ema_fast": False, "close_above_ema_fast_len": "200", "close_above_ema_slow": False, "close_above_ema_slow_len": "200", "sma200_rising": False, "sma200_rising_val": "24", "sma200_1h_rising": False, "sma200_1h_rising_val": "50", "safe_dips_threshold_0": 0.04, "safe_dips_threshold_2": 0.09, "safe_dips_threshold_12": 0.32, "safe_dips_threshold_144": 0.44, "safe_pump_6h_threshold": 0.3, "safe_pump_12h_threshold": None, "safe_pump_24h_threshold": None, "safe_pump_36h_threshold": 0.74, "safe_pump_48h_threshold": None, "btc_1h_not_downtrend": True, "close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_over_pivot_offset": 1.0, "close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_under_pivot_offset": 1.0, }, 14: { "ema_fast": False, "ema_fast_len": "50", "ema_slow": False, "ema_slow_len": "50", "close_above_ema_fast": False, "close_above_ema_fast_len": "200", "close_above_ema_slow": False, "close_above_ema_slow_len": "200", "sma200_rising": False, "sma200_rising_val": "24", "sma200_1h_rising": False, "sma200_1h_rising_val": "24", "safe_dips_threshold_0": 0.06, "safe_dips_threshold_2": 0.09, "safe_dips_threshold_12": None, "safe_dips_threshold_144": None, "safe_pump_6h_threshold": 0.42, "safe_pump_12h_threshold": None, "safe_pump_24h_threshold": None, "safe_pump_36h_threshold": 0.9, "safe_pump_48h_threshold": None, "btc_1h_not_downtrend": False, "close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_over_pivot_offset": 1.0, "close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_under_pivot_offset": 1.0, }, 15: { "ema_fast": False, "ema_fast_len": "50", "ema_slow": False, "ema_slow_len": "50", "close_above_ema_fast": False, "close_above_ema_fast_len": "200", "close_above_ema_slow": False, "close_above_ema_slow_len": "200", "sma200_rising": False, "sma200_rising_val": "24", "sma200_1h_rising": False, "sma200_1h_rising_val": "50", "safe_dips_threshold_0": 0.06, "safe_dips_threshold_2": 0.1, "safe_dips_threshold_12": 0.28, "safe_dips_threshold_144": 0.48, "safe_pump_6h_threshold": 0.5, "safe_pump_12h_threshold": None, "safe_pump_24h_threshold": None, "safe_pump_36h_threshold": 0.9, "safe_pump_48h_threshold": None, "btc_1h_not_downtrend": False, "close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_over_pivot_offset": 1.0, "close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_under_pivot_offset": 1.0, }, 16: { "ema_fast": False, "ema_fast_len": "50", "ema_slow": True, "ema_slow_len": "12", "close_above_ema_fast": False, "close_above_ema_fast_len": "200", "close_above_ema_slow": False, "close_above_ema_slow_len": "200", "sma200_rising": False, "sma200_rising_val": "24", "sma200_1h_rising": False, "sma200_1h_rising_val": "24", "safe_dips_threshold_0": 0.08, "safe_dips_threshold_2": 0.12, "safe_dips_threshold_12": None, "safe_dips_threshold_144": None, "safe_pump_6h_threshold": 0.45, "safe_pump_12h_threshold": None, "safe_pump_24h_threshold": None, "safe_pump_36h_threshold": 1.8, "safe_pump_48h_threshold": None, "btc_1h_not_downtrend": True, "close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_over_pivot_offset": 1.0, "close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_under_pivot_offset": 1.1, }, 17: { "ema_fast": False, "ema_fast_len": "50", "ema_slow": False, "ema_slow_len": "12", "close_above_ema_fast": False, "close_above_ema_fast_len": "200", "close_above_ema_slow": False, "close_above_ema_slow_len": "200", "sma200_rising": False, "sma200_rising_val": "24", "sma200_1h_rising": False, "sma200_1h_rising_val": "24", "safe_dips_threshold_0": 0.08, "safe_dips_threshold_2": 0.12, "safe_dips_threshold_12": None, "safe_dips_threshold_144": None, "safe_pump_6h_threshold": 0.45, "safe_pump_12h_threshold": None, "safe_pump_24h_threshold": None, "safe_pump_36h_threshold": None, "safe_pump_48h_threshold": None, "btc_1h_not_downtrend": True, "close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_over_pivot_offset": 1.0, "close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_under_pivot_offset": 1.0, }, 18: { "ema_fast": False, "ema_fast_len": "50", "ema_slow": True, "ema_slow_len": "12", "close_above_ema_fast": False, "close_above_ema_fast_len": "200", "close_above_ema_slow": False, "close_above_ema_slow_len": "200", "sma200_rising": False, "sma200_rising_val": "24", "sma200_1h_rising": False, "sma200_1h_rising_val": "24", "safe_dips_threshold_0": 0.08, "safe_dips_threshold_2": 0.12, "safe_dips_threshold_12": None, "safe_dips_threshold_144": None, "safe_pump_6h_threshold": 0.45, "safe_pump_12h_threshold": None, "safe_pump_24h_threshold": None, "safe_pump_36h_threshold": 0.75, "safe_pump_48h_threshold": None, "btc_1h_not_downtrend": False, "close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_over_pivot_offset": 1.0, "close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_under_pivot_offset": 1.0, }, 19: { "ema_fast": False, "ema_fast_len": "50", "ema_slow": False, "ema_slow_len": "12", "close_above_ema_fast": False, "close_above_ema_fast_len": "200", "close_above_ema_slow": False, "close_above_ema_slow_len": "200", "sma200_rising": False, "sma200_rising_val": "24", "sma200_1h_rising": False, "sma200_1h_rising_val": "24", "safe_dips_threshold_0": 0.08, "safe_dips_threshold_2": 0.12, "safe_dips_threshold_12": None, "safe_dips_threshold_144": None, "safe_pump_6h_threshold": 0.45, "safe_pump_12h_threshold": None, "safe_pump_24h_threshold": None, "safe_pump_36h_threshold": 0.75, "safe_pump_48h_threshold": None, "btc_1h_not_downtrend": True, "close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_over_pivot_offset": 1.0, "close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_under_pivot_offset": 1.0, }, 20: { "ema_fast": False, "ema_fast_len": "50", "ema_slow": False, "ema_slow_len": "50", "close_above_ema_fast": False, "close_above_ema_fast_len": "200", "close_above_ema_slow": False, "close_above_ema_slow_len": "200", "sma200_rising": False, "sma200_rising_val": "50", "sma200_1h_rising": False, "sma200_1h_rising_val": "24", "safe_dips_threshold_0": None, "safe_dips_threshold_2": None, "safe_dips_threshold_12": None, "safe_dips_threshold_144": None, "safe_pump_6h_threshold": None, "safe_pump_12h_threshold": None, "safe_pump_24h_threshold": None, "safe_pump_36h_threshold": None, "safe_pump_48h_threshold": None, "btc_1h_not_downtrend": False, "close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_over_pivot_offset": 1.0, "close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_under_pivot_offset": 1.0, }, 21: { "ema_fast": False, "ema_fast_len": "50", "ema_slow": False, "ema_slow_len": "12", "close_above_ema_fast": False, "close_above_ema_fast_len": "200", "close_above_ema_slow": False, "close_above_ema_slow_len": "200", "sma200_rising": False, "sma200_rising_val": "24", "sma200_1h_rising": True, "sma200_1h_rising_val": "24", "safe_dips_threshold_0": 0.05, "safe_dips_threshold_2": 0.12, "safe_dips_threshold_12": None, "safe_dips_threshold_144": None, "safe_pump_6h_threshold": 0.45, "safe_pump_12h_threshold": None, "safe_pump_24h_threshold": None, "safe_pump_36h_threshold": None, "safe_pump_48h_threshold": None, "btc_1h_not_downtrend": False, "close_over_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_over_pivot_offset": 1.0, "close_under_pivot_type": "none", # pivot, sup1, sup2, sup3, res1, res2, res3 "close_under_pivot_offset": 1.1, }, } # 5 hours - level 10 buy_dump_protection_10_5 = 0.4 # 5 hours - level 20 buy_dump_protection_20_5 = 0.44 # 5 hours - level 30 buy_dump_protection_30_5 = 0.50 # 5 hours - level 40 buy_dump_protection_40_5 = 0.58 # 5 hours - level 50 buy_dump_protection_50_5 = 0.66 # 5 hours - level 60 buy_dump_protection_60_5 = 0.74 # Sell sell_condition_1_enable = True # 48h for pump sell checks sell_pump_threshold_48_1 = 0.9 sell_pump_threshold_48_2 = 0.7 sell_pump_threshold_48_3 = 0.5 # 36h for pump sell checks sell_pump_threshold_36_1 = 0.72 sell_pump_threshold_36_2 = 4.0 sell_pump_threshold_36_3 = 1.0 # 24h for pump sell checks sell_pump_threshold_24_1 = 0.68 sell_pump_threshold_24_2 = 0.62 sell_pump_threshold_24_3 = 0.88 sell_rsi_bb_1 = 74.0 sell_rsi_bb_2 = 75.0 sell_rsi_main_3 = 78.0 sell_dual_rsi_rsi_4 = 68.4 sell_dual_rsi_rsi_1h_4 = 74.6 sell_ema_relative_5 = 0.024 sell_rsi_diff_5 = 4.4 sell_rsi_under_6 = 74.0 sell_rsi_1h_7 = 76.7 sell_bb_relative_8 = 1.1 ############################################################# ############################################################# # CACHES hold_trades_cache = None target_profit_cache = None ############################################################# def __init__(self, config: dict) -> None: super().__init__(config) if self.target_profit_cache is None: self.target_profit_cache = Cache(self.config["user_data_dir"] / "data-nfi-profit_target_by_pair.json") # If the cached data hasn't changed, it's a no-op self.target_profit_cache.save() def get_hold_trades_config_file(self): proper_holds_file_path = self.config["user_data_dir"].resolve() / "nfi-hold-trades.json" if proper_holds_file_path.is_file(): return proper_holds_file_path strat_file_path = pathlib.Path(__file__) hold_trades_config_file_resolve = strat_file_path.resolve().parent / "hold-trades.json" if hold_trades_config_file_resolve.is_file(): log.warning( "Please move %s to %s which is now the expected path for the holds file", hold_trades_config_file_resolve, proper_holds_file_path, ) return hold_trades_config_file_resolve # The resolved path does not exist, is it a symlink? hold_trades_config_file_absolute = strat_file_path.absolute().parent / "hold-trades.json" if hold_trades_config_file_absolute.is_file(): log.warning( "Please move %s to %s which is now the expected path for the holds file", hold_trades_config_file_absolute, proper_holds_file_path, ) return hold_trades_config_file_absolute def load_hold_trades_config(self): if self.hold_trades_cache is None: hold_trades_config_file = self.get_hold_trades_config_file() if hold_trades_config_file: log.warning("Loading hold support data from %s", hold_trades_config_file) self.hold_trades_cache = HoldsCache(hold_trades_config_file) if self.hold_trades_cache: self.hold_trades_cache.load() def whitelist_tracker(self): if sorted(self.coin_metrics["current_whitelist"]) != sorted(self.dp.current_whitelist()): log.info("Whitelist has changed...") self.coin_metrics["top_traded_updated"] = False self.coin_metrics["top_grossing_updated"] = False # Update pairlist self.coin_metrics["current_whitelist"] = self.dp.current_whitelist() # Move up BTC for largest data footprint self.coin_metrics["current_whitelist"].insert( 0, self.coin_metrics["current_whitelist"].pop( self.coin_metrics["current_whitelist"].index(f"BTC/{self.config['stake_currency']}") ), ) def top_traded_list(self): log.info("Updating top traded pairlist...") tik = time.perf_counter() self.coin_metrics["tt_dataframe"] = DataFrame() # Build traded volume dataframe for coin_pair in self.coin_metrics["current_whitelist"]: coin = coin_pair.split("/")[0] # Get the volume for the daily informative timeframe and name the column for the coin pair_dataframe = self.dp.get_pair_dataframe(pair=coin_pair, timeframe=self.info_timeframe_1d) pair_dataframe.set_index("date") if self.config["runmode"].value in ("live", "dry_run"): pair_dataframe = pair_dataframe.iloc[-7:, :] # Set the date index of the self.coin_metrics['tt_dataframe'] once if not "date" in self.coin_metrics["tt_dataframe"]: self.coin_metrics["tt_dataframe"]["date"] = pair_dataframe["date"] self.coin_metrics["tt_dataframe"].set_index("date") # Calculate daily traded volume pair_dataframe[coin] = pair_dataframe["volume"] * qtpylib.typical_price(pair_dataframe) # Drop the columns we don't need pair_dataframe.drop(columns=["open", "high", "low", "close", "volume"], inplace=True) # Merge it in on the date key self.coin_metrics["tt_dataframe"] = self.coin_metrics["tt_dataframe"].merge( pair_dataframe, on="date", how="left" ) # Forward fill empty cells (due to different df shapes) self.coin_metrics["tt_dataframe"].fillna(0, inplace=True) # Store and drop date column for value sorting pair_dates = self.coin_metrics["tt_dataframe"]["date"] self.coin_metrics["tt_dataframe"].drop(columns=["date"], inplace=True) # Build columns and top traded coins column_names = [f"Coin #{i}" for i in range(1, self.coin_metrics["top_traded_len"] + 1)] self.coin_metrics["tt_dataframe"][column_names] = self.coin_metrics["tt_dataframe"].apply( lambda x: x.nlargest(self.coin_metrics["top_traded_len"]).index.values, axis=1, result_type="expand" ) self.coin_metrics["tt_dataframe"].drop( columns=[col for col in self.coin_metrics["tt_dataframe"] if col not in column_names], inplace=True ) # Re-add stored date column self.coin_metrics["tt_dataframe"].insert(loc=0, column="date", value=pair_dates) self.coin_metrics["tt_dataframe"].set_index("date") self.coin_metrics["top_traded_updated"] = True log.info("Updated top traded pairlist (tail-5):") log.info(f"\n{self.coin_metrics['tt_dataframe'].tail(5)}") tok = time.perf_counter() log.info(f"Updating top traded pairlist took {tok - tik:0.4f} seconds...") def top_grossing_list(self): log.info("Updating top grossing pairlist...") tik = time.perf_counter() self.coin_metrics["tg_dataframe"] = DataFrame() # Build grossing volume dataframe for coin_pair in self.coin_metrics["current_whitelist"]: coin = coin_pair.split("/")[0] # Get the volume for the daily informative timeframe and name the column for the coin pair_dataframe = self.dp.get_pair_dataframe(pair=coin_pair, timeframe=self.info_timeframe_1d) pair_dataframe.set_index("date") if self.config["runmode"].value in ("live", "dry_run"): pair_dataframe = pair_dataframe.iloc[-7:, :] # Set the date index of the self.coin_metrics['tg_dataframe'] once if not "date" in self.coin_metrics["tg_dataframe"]: self.coin_metrics["tg_dataframe"]["date"] = pair_dataframe["date"] self.coin_metrics["tg_dataframe"].set_index("date") # Calculate daily grossing rate pair_dataframe[coin] = pair_dataframe["close"].pct_change() * 100 # Drop the columns we don't need pair_dataframe.drop(columns=["open", "high", "low", "close", "volume"], inplace=True) # Merge it in on the date key self.coin_metrics["tg_dataframe"] = self.coin_metrics["tg_dataframe"].merge( pair_dataframe, on="date", how="left" ) # Forward fill empty cells (due to different df shapes) self.coin_metrics["tg_dataframe"].fillna(0, inplace=True) # Store and drop date column for value sorting pair_dates = self.coin_metrics["tg_dataframe"]["date"] self.coin_metrics["tg_dataframe"].drop(columns=["date"], inplace=True) # Build columns and top grossing coins column_names = [f"Coin #{i}" for i in range(1, self.coin_metrics["top_grossing_len"] + 1)] self.coin_metrics["tg_dataframe"][column_names] = self.coin_metrics["tg_dataframe"].apply( lambda x: x.nlargest(self.coin_metrics["top_grossing_len"]).index.values, axis=1, result_type="expand" ) self.coin_metrics["tg_dataframe"].drop( columns=[col for col in self.coin_metrics["tg_dataframe"] if col not in column_names], inplace=True ) # Re-add stored date column self.coin_metrics["tg_dataframe"].insert(loc=0, column="date", value=pair_dates) self.coin_metrics["tg_dataframe"].set_index("date") self.coin_metrics["top_grossing_updated"] = True log.info("Updated top grossing pairlist (tail-5):") log.info(f"\n{self.coin_metrics['tg_dataframe'].tail(5)}") tok = time.perf_counter() log.info(f"Updating top grossing pairlist took {tok - tik:0.4f} seconds...") def is_top_coin(self, coin_pair, row_data, top_length) -> bool: return coin_pair.split("/")[0] in row_data.loc["Coin #1" : f"Coin #{top_length}"].values def is_support(self, row_data) -> bool: if ( row_data[0] > row_data[1] and row_data[1] > row_data[2] and row_data[2] < row_data[3] and row_data[3] < row_data[4] ): return True return False def is_resistance(self, row_data) -> bool: if ( row_data[0] < row_data[1] and row_data[1] < row_data[2] and row_data[2] > row_data[3] and row_data[3] > row_data[4] ): return True return False def bot_loop_start(self, **kwargs) -> None: """ Called at the start of the bot iteration (one loop). Might be used to perform pair-independent tasks (e.g. gather some remote resource for comparison) :param **kwargs: Ensure to keep this here so updates to this won't break your strategy. """ # Coin metrics mechanism if self.coin_metrics["top_traded_enabled"] or self.coin_metrics["top_grossing_enabled"]: self.whitelist_tracker() if self.coin_metrics["top_traded_enabled"] and not self.coin_metrics["top_traded_updated"]: self.top_traded_list() if self.coin_metrics["top_grossing_enabled"] and not self.coin_metrics["top_grossing_updated"]: self.top_grossing_list() if self.config["runmode"].value not in ("live", "dry_run"): return super().bot_loop_start(**kwargs) if self.holdSupportEnabled: self.load_hold_trades_config() return super().bot_loop_start(**kwargs) def get_ticker_indicator(self): return int(self.timeframe[:-1]) def sell_signals( self, current_profit: float, max_profit: float, max_loss: float, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade: "Trade", current_time: "datetime", buy_tag, ) -> tuple: # Sell signal 1 if ( (last_candle["rsi_14"] > 78.0) and (last_candle["close"] > last_candle["bb20_2_upp"]) and (previous_candle_1["close"] > previous_candle_1["bb20_2_upp"]) and (previous_candle_2["close"] > previous_candle_2["bb20_2_upp"]) and (previous_candle_3["close"] > previous_candle_3["bb20_2_upp"]) and (previous_candle_4["close"] > previous_candle_4["bb20_2_upp"]) ): if last_candle["close"] > last_candle["ema_200"]: if current_profit > 0.01: return True, "sell_signal_1_1_1" else: if current_profit > 0.01: return True, "sell_signal_1_2_1" elif (current_profit < -0.05) and (max_loss > 0.12): return True, "sell_signal_1_2_2" # Sell signal 2 elif ( (last_candle["rsi_14"] > 79.0) and (last_candle["close"] > last_candle["bb20_2_upp"]) and (previous_candle_1["close"] > previous_candle_1["bb20_2_upp"]) and (previous_candle_2["close"] > previous_candle_2["bb20_2_upp"]) ): if last_candle["close"] > last_candle["ema_200"]: if current_profit > 0.01: return True, "sell_signal_2_1_1" else: if current_profit > 0.01: return True, "sell_signal_2_2_1" elif (current_profit < -0.05) and (max_loss > 0.12): return True, "sell_signal_2_2_2" # Sell signal 3 elif last_candle["rsi_14"] > 82.0: if last_candle["close"] > last_candle["ema_200"]: if current_profit > 0.01: return True, "sell_signal_3_1_1" else: if current_profit > 0.01: return True, "sell_signal_3_2_1" elif (current_profit < -0.05) and (max_loss > 0.12): return True, "sell_signal_3_2_2" # Sell signal 4 elif (last_candle["rsi_14"] > 78.0) and (last_candle["rsi_14_1h"] > 78.0): if last_candle["close"] > last_candle["ema_200"]: if current_profit > 0.01: return True, "sell_signal_4_1_1" else: if current_profit > 0.01: return True, "sell_signal_4_2_1" elif (current_profit < -0.05) and (max_loss > 0.12): return True, "sell_signal_4_2_2" # Sell signal 6 elif ( (last_candle["close"] < last_candle["ema_200"]) and (last_candle["close"] > last_candle["ema_50"]) and (last_candle["rsi_14"] > 79.5) ): if current_profit > 0.01: return True, "sell_signal_6_1" elif (current_profit < -0.05) and (max_loss > 0.12): return True, "sell_signal_6_2" # Sell signal 7 elif (last_candle["rsi_14_1h"] > 80.0) and (last_candle["crossed_below_ema_12_26"]): if last_candle["close"] > last_candle["ema_200"]: if current_profit > 0.01: return True, "sell_signal_7_1_1" else: if current_profit > 0.01: return True, "sell_signal_7_2_1" elif (current_profit < -0.05) and (max_loss > 0.12): return True, "sell_signal_7_2_2" # Sell signal 8 elif last_candle["close"] > last_candle["bb20_2_upp_1h"] * 1.08: if last_candle["close"] > last_candle["ema_200"]: if current_profit > 0.01: return True, "sell_signal_8_1_1" else: if current_profit > 0.01: return True, "sell_signal_8_2_1" elif (current_profit < -0.05) and (max_loss > 0.12): return True, "sell_signal_8_2_2" return False, None def sell_stoploss( self, current_profit: float, max_profit: float, max_loss: float, last_candle, previous_candle_1, trade: "Trade", current_time: "datetime", ) -> tuple: # Under & near EMA200, local uptrend move if ( (current_profit < -0.05) and (last_candle["close"] < last_candle["ema_200"]) and (last_candle["cmf"] < 0.0) and (((last_candle["ema_200"] - last_candle["close"]) / last_candle["close"]) < 0.015) and last_candle["rsi_14"] > previous_candle_1["rsi_14"] and (last_candle["rsi_14"] > (last_candle["rsi_14_1h"] + 10.0)) and (last_candle["sma_200_dec_24"]) and (current_time - timedelta(minutes=2880) > trade.open_date_utc) ): return True, "sell_stoploss_u_e_1" # Under EMA200, local strong uptrend move if ( (current_profit < -0.08) and (last_candle["close"] < last_candle["ema_200"]) and (last_candle["cmf"] < 0.0) and last_candle["rsi_14"] > previous_candle_1["rsi_14"] and (last_candle["rsi_14"] > (last_candle["rsi_14_1h"] + 24.0)) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_24"]) and (current_time - timedelta(minutes=2880) > trade.open_date_utc) ): return True, "sell_stoploss_u_e_2" # Under EMA200, pair negative, low max rate if ( (current_profit < -0.08) and (max_profit < 0.04) and (last_candle["close"] < last_candle["ema_200"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_24"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["ema_vwma_osc_32"] < 0.0) and (last_candle["ema_vwma_osc_64"] < 0.0) and (last_candle["ema_vwma_osc_96"] < 0.0) and (last_candle["cmf"] < -0.0) and (last_candle["cmf_1h"] < -0.0) and (last_candle["close"] < last_candle["sup_level_1h"]) and (last_candle["btc_not_downtrend_1h"] == False) and (current_time - timedelta(minutes=1440) > trade.open_date_utc) ): return True, "sell_stoploss_u_e_doom" # Under EMA200, pair and BTC negative, low max rate if ( (-0.05 > current_profit > -0.09) and (last_candle["btc_not_downtrend_1h"] == False) and (last_candle["ema_vwma_osc_32"] < 0.0) and (last_candle["ema_vwma_osc_64"] < 0.0) and (max_profit < 0.005) and (max_loss < 0.09) and (last_candle["sma_200_dec_24"]) and (last_candle["cmf"] < -0.0) and (last_candle["close"] < last_candle["ema_200"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["cti"] < -0.8) and (last_candle["r_480"] < -50.0) ): return True, "sell_stoploss_u_e_b_1" # Under EMA200, pair and BTC negative, CTI, Elder Ray Index negative, normal max rate elif ( (-0.1 > current_profit > -0.2) and (last_candle["btc_not_downtrend_1h"] == False) and (last_candle["ema_vwma_osc_32"] < 0.0) and (last_candle["ema_vwma_osc_64"] < 0.0) and (last_candle["ema_vwma_osc_96"] < 0.0) and (max_profit < 0.05) and (max_loss < 0.2) and (last_candle["sma_200_dec_24"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["cmf"] < -0.45) and (last_candle["close"] < last_candle["ema_200"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["cti"] < -0.8) and (last_candle["r_480"] < -97.0) ): return True, "signal_stoploss_u_e_b_2" return False, None def sell_over_main(self, current_profit: float, last_candle) -> tuple: if last_candle["close"] > last_candle["ema_200"]: if last_candle["moderi_96"]: if current_profit >= 0.20: if last_candle["rsi_14"] < 30.0: return True, "sell_profit_o_bull_12_1" elif ( (last_candle["rsi_14"] < 35.0) and (last_candle["cmf"] < -0.28) and (last_candle["rsi_14_1h"] < 35.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_o_bull_12_2" elif (last_candle["rsi_14"] < 31.0) and (last_candle["rsi_14_1h"] < 36.0): return True, "sell_profit_o_bull_12_3" elif ( (last_candle["rsi_14"] < 31.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 42.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_o_bull_12_4" elif 0.20 > current_profit >= 0.12: if last_candle["rsi_14"] < 32.0: return True, "sell_profit_o_bull_11_1" elif ( (last_candle["rsi_14"] < 37.0) and (last_candle["cmf"] < -0.24) and (last_candle["rsi_14_1h"] < 37.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_o_bull_11_2" elif (last_candle["rsi_14"] < 33.0) and (last_candle["rsi_14_1h"] < 38.0): return True, "sell_profit_o_bull_11_3" elif ( (last_candle["rsi_14"] < 33.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 42.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_o_bull_11_4" elif 0.12 > current_profit >= 0.1: if last_candle["rsi_14"] < 40.0: return True, "sell_profit_o_bull_10_1" elif ( (last_candle["rsi_14"] < 45.0) and (last_candle["cmf"] < -0.22) and (last_candle["rsi_14_1h"] < 43.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_o_bull_10_2" elif (last_candle["rsi_14"] < 41.0) and (last_candle["rsi_14_1h"] < 40.0): return True, "sell_profit_o_bull_10_3" elif ( (last_candle["rsi_14"] < 41.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 42.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_o_bull_10_4" elif 0.1 > current_profit >= 0.09: if last_candle["rsi_14"] < 47.0: return True, "sell_profit_o_bull_9_1" elif ( (last_candle["rsi_14"] < 54.0) and (last_candle["cmf"] < -0.12) and (last_candle["rsi_14_1h"] < 49.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_o_bull_9_2" elif (last_candle["rsi_14"] < 51.0) and (last_candle["rsi_14_1h"] < 43.0): return True, "sell_profit_o_bull_9_3" elif ( (last_candle["rsi_14"] < 51.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 42.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_o_bull_9_4" elif 0.09 > current_profit >= 0.08: if last_candle["rsi_14"] < 46.0: return True, "sell_profit_o_bull_8_1" elif ( (last_candle["rsi_14"] < 53.0) and (last_candle["cmf"] < -0.12) and (last_candle["rsi_14_1h"] < 49.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_o_bull_8_2" elif (last_candle["rsi_14"] < 50.0) and (last_candle["rsi_14_1h"] < 42.0): return True, "sell_profit_o_bull_8_3" elif ( (last_candle["rsi_14"] < 50.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 42.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_o_bull_8_4" elif 0.08 > current_profit >= 0.07: if last_candle["rsi_14"] < 45.0: return True, "sell_profit_o_bull_7_1" elif ( (last_candle["rsi_14"] < 52.0) and (last_candle["cmf"] < -0.12) and (last_candle["rsi_14_1h"] < 49.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_o_bull_7_2" elif (last_candle["rsi_14"] < 49.0) and (last_candle["rsi_14_1h"] < 41.0): return True, "sell_profit_o_bull_7_3" elif ( (last_candle["rsi_14"] < 49.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 42.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_o_bull_7_4" elif 0.07 > current_profit >= 0.06: if last_candle["rsi_14"] < 44.0: return True, "sell_profit_o_bull_6_1" elif ( (last_candle["rsi_14"] < 51.0) and (last_candle["cmf"] < -0.12) and (last_candle["rsi_14_1h"] < 49.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_o_bull_6_2" elif (last_candle["rsi_14"] < 47.0) and (last_candle["rsi_14_1h"] < 40.0): return True, "sell_profit_o_bull_6_3" elif ( (last_candle["rsi_14"] < 47.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 42.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_o_bull_6_4" elif 0.06 > current_profit >= 0.05: if last_candle["rsi_14"] < 43.0: return True, "sell_profit_o_bull_5_1" elif ( (last_candle["rsi_14"] < 49.0) and (last_candle["cmf"] < -0.13) and (last_candle["rsi_14_1h"] < 49.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_o_bull_5_2" elif (last_candle["rsi_14"] < 45.0) and (last_candle["rsi_14_1h"] < 39.0): return True, "sell_profit_o_bull_5_3" elif ( (last_candle["rsi_14"] < 45.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 42.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_o_bull_5_4" elif 0.05 > current_profit >= 0.04: if last_candle["rsi_14"] < 42.0: return True, "sell_profit_o_bull_4_1" elif ( (last_candle["rsi_14"] < 47.0) and (last_candle["cmf"] < -0.14) and (last_candle["rsi_14_1h"] < 48.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_o_bull_4_2" elif (last_candle["rsi_14"] < 43.0) and (last_candle["rsi_14_1h"] < 38.0): return True, "sell_profit_o_bull_4_3" elif ( (last_candle["rsi_14"] < 43.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 42.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_o_bull_4_4" elif 0.04 > current_profit >= 0.03: if last_candle["rsi_14"] < 38.0: return True, "sell_profit_o_bull_3_1" elif ( (last_candle["rsi_14"] < 43.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 47.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_o_bull_3_2" elif (last_candle["rsi_14"] < 39.0) and (last_candle["rsi_14_1h"] < 37.0): return True, "sell_profit_o_bull_3_3" elif ( (last_candle["rsi_14"] < 41.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 42.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_o_bull_2_4" elif 0.03 > current_profit >= 0.02: if last_candle["rsi_14"] < 34.0: return True, "sell_profit_o_bull_2_1" elif ( (last_candle["rsi_14"] < 39.0) and (last_candle["cmf"] < -0.16) and (last_candle["rsi_14_1h"] < 46.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_o_bull_2_2" elif (last_candle["rsi_14"] < 35.0) and (last_candle["rsi_14_1h"] < 36.0): return True, "sell_profit_o_bull_2_3" elif ( (last_candle["rsi_14"] < 40.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 42.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_o_bull_2_4" elif 0.02 > current_profit >= 0.012: if last_candle["rsi_14"] < 32.0: return True, "sell_profit_o_bull_1_1" elif ( (last_candle["rsi_14"] < 37.0) and (last_candle["cmf"] < -0.2) and (last_candle["rsi_14_1h"] < 44.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_o_bull_1_2" elif (last_candle["rsi_14"] < 33.0) and (last_candle["rsi_14_1h"] < 35.0): return True, "sell_profit_o_bull_1_3" elif ( (last_candle["rsi_14"] < 39.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 42.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_o_bull_1_4" else: if current_profit >= 0.20: if last_candle["rsi_14"] < 31.0: return True, "sell_profit_o_bear_12_1" elif ( (last_candle["rsi_14"] < 36.0) and (last_candle["cmf"] < -0.28) and (last_candle["rsi_14_1h"] < 36.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_o_bear_12_2" elif (last_candle["rsi_14"] < 32.0) and (last_candle["rsi_14_1h"] < 36.0): return True, "sell_profit_o_bear_12_3" elif ( (last_candle["rsi_14"] < 32.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 43.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_o_bear_12_4" elif 0.20 > current_profit >= 0.12: if last_candle["rsi_14"] < 33.0: return True, "sell_profit_o_bear_11_1" elif ( (last_candle["rsi_14"] < 38.0) and (last_candle["cmf"] < -0.24) and (last_candle["rsi_14_1h"] < 38.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_o_bear_11_2" elif (last_candle["rsi_14"] < 34.0) and (last_candle["rsi_14_1h"] < 38.0): return True, "sell_profit_o_bear_11_3" elif ( (last_candle["rsi_14"] < 34.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 43.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_o_bear_11_4" elif 0.12 > current_profit >= 0.10: if last_candle["rsi_14"] < 41.0: return True, "sell_profit_o_bear_10_1" elif ( (last_candle["rsi_14"] < 46.0) and (last_candle["cmf"] < -0.22) and (last_candle["rsi_14_1h"] < 44.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_o_bear_10_2" elif (last_candle["rsi_14"] < 42.0) and (last_candle["rsi_14_1h"] < 40.0): return True, "sell_profit_o_bear_10_3" elif ( (last_candle["rsi_14"] < 42.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 43.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_o_bear_10_4" elif 0.10 > current_profit >= 0.09: if last_candle["rsi_14"] < 48.0: return True, "sell_profit_o_bear_9_1" elif ( (last_candle["rsi_14"] < 57.0) and (last_candle["cmf"] < -0.12) and (last_candle["rsi_14_1h"] < 50.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_o_bear_9_2" elif (last_candle["rsi_14"] < 52.0) and (last_candle["rsi_14_1h"] < 43.0): return True, "sell_profit_o_bear_9_3" elif ( (last_candle["rsi_14"] < 52.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 43.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_o_bear_9_4" elif 0.09 > current_profit >= 0.08: if last_candle["rsi_14"] < 47.0: return True, "sell_profit_o_bear_8_1" elif ( (last_candle["rsi_14"] < 56.0) and (last_candle["cmf"] < -0.12) and (last_candle["rsi_14_1h"] < 50.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_o_bear_8_2" elif (last_candle["rsi_14"] < 51.0) and (last_candle["rsi_14_1h"] < 42.0): return True, "sell_profit_o_bear_8_3" elif ( (last_candle["rsi_14"] < 51.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 43.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_o_bear_8_4" elif 0.08 > current_profit >= 0.07: if last_candle["rsi_14"] < 46.0: return True, "sell_profit_o_bear_7_1" elif ( (last_candle["rsi_14"] < 55.0) and (last_candle["cmf"] < -0.12) and (last_candle["rsi_14_1h"] < 50.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_o_bear_7_2" elif (last_candle["rsi_14"] < 50.0) and (last_candle["rsi_14_1h"] < 41.0): return True, "sell_profit_o_bear_7_3" elif ( (last_candle["rsi_14"] < 50.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 43.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_o_bear_7_4" elif 0.07 > current_profit >= 0.06: if last_candle["rsi_14"] < 45.0: return True, "sell_profit_o_bear_6_1" elif ( (last_candle["rsi_14"] < 54.0) and (last_candle["cmf"] < -0.12) and (last_candle["rsi_14_1h"] < 50.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_o_bear_6_2" elif (last_candle["rsi_14"] < 48.0) and (last_candle["rsi_14_1h"] < 40.0): return True, "sell_profit_o_bear_6_3" elif ( (last_candle["rsi_14"] < 48.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 43.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_o_bear_6_4" elif 0.06 > current_profit >= 0.05: if last_candle["rsi_14"] < 44.0: return True, "sell_profit_o_bear_5_1" elif ( (last_candle["rsi_14"] < 53.0) and (last_candle["cmf"] < -0.12) and (last_candle["rsi_14_1h"] < 50.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_o_bear_5_2" elif (last_candle["rsi_14"] < 46.0) and (last_candle["rsi_14_1h"] < 39.0): return True, "sell_profit_o_bear_5_3" elif ( (last_candle["rsi_14"] < 46.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 43.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_o_bear_5_4" elif 0.05 > current_profit >= 0.04: if last_candle["rsi_14"] < 43.0: return True, "sell_profit_o_bear_4_1" elif ( (last_candle["rsi_14"] < 52.0) and (last_candle["cmf"] < -0.13) and (last_candle["rsi_14_1h"] < 49.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_o_bear_4_2" elif (last_candle["rsi_14"] < 44.0) and (last_candle["rsi_14_1h"] < 38.0): return True, "sell_profit_o_bear_4_3" elif ( (last_candle["rsi_14"] < 44.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 43.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_o_bear_4_4" elif 0.04 > current_profit >= 0.03: if last_candle["rsi_14"] < 39.0: return True, "sell_profit_o_bear_3_1" elif ( (last_candle["rsi_14"] < 51.0) and (last_candle["cmf"] < -0.14) and (last_candle["rsi_14_1h"] < 48.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_o_bear_3_2" elif (last_candle["rsi_14"] < 40.0) and (last_candle["rsi_14_1h"] < 37.0): return True, "sell_profit_o_bear_3_3" elif ( (last_candle["rsi_14"] < 42.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 43.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_o_bear_3_4" elif 0.03 > current_profit >= 0.02: if last_candle["rsi_14"] < 35.0: return True, "sell_profit_o_bear_2_1" elif ( (last_candle["rsi_14"] < 50.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 47.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_o_bear_2_2" elif (last_candle["rsi_14"] < 36.0) and (last_candle["rsi_14_1h"] < 36.0): return True, "sell_profit_o_bear_2_3" elif ( (last_candle["rsi_14"] < 41.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 43.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_o_bear_2_4" elif 0.02 > current_profit >= 0.012: if last_candle["rsi_14"] < 33.0: return True, "sell_profit_o_bear_1_1" elif ( (last_candle["rsi_14"] < 38.0) and (last_candle["cmf"] < -0.2) and (last_candle["rsi_14_1h"] < 45.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_o_bear_1_2" elif (last_candle["rsi_14"] < 34.0) and (last_candle["rsi_14_1h"] < 35.0): return True, "sell_profit_o_bear_1_3" elif ( (last_candle["rsi_14"] < 40.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 43.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_o_bear_1_4" return False, None def sell_under_main(self, current_profit: float, last_candle) -> tuple: if last_candle["close"] < last_candle["ema_200"]: if last_candle["moderi_96"]: if current_profit >= 0.20: if last_candle["rsi_14"] < 31.0: return True, "signal_profit_u_bull_12_1" elif ( (last_candle["rsi_14"] < 32.0) and (last_candle["cmf"] < -0.28) and (last_candle["rsi_14_1h"] < 36.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_u_bull_12_2" elif (last_candle["rsi_14"] < 33.0) and (last_candle["rsi_14_1h"] < 36.0): return True, "sell_profit_u_bull_12_3" elif ( (last_candle["rsi_14"] < 32.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 43.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_u_bull_12_4" elif 0.20 > current_profit >= 0.12: if last_candle["rsi_14"] < 33.0: return True, "sell_profit_u_bull_11_1" elif ( (last_candle["rsi_14"] < 38.0) and (last_candle["cmf"] < -0.24) and (last_candle["rsi_14_1h"] < 38.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_u_bull_11_2" elif (last_candle["rsi_14"] < 34.0) and (last_candle["rsi_14_1h"] < 38.0): return True, "sell_profit_u_bull_11_3" elif ( (last_candle["rsi_14"] < 34.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 43.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_u_bull_11_4" elif 0.12 > current_profit >= 0.10: if last_candle["rsi_14"] < 41.0: return True, "sell_profit_u_bull_10_1" elif ( (last_candle["rsi_14"] < 46.0) and (last_candle["cmf"] < -0.22) and (last_candle["rsi_14_1h"] < 44.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_u_bull_10_2" elif (last_candle["rsi_14"] < 42.0) and (last_candle["rsi_14_1h"] < 40.0): return True, "sell_profit_u_bull_10_3" elif ( (last_candle["rsi_14"] < 42.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 43.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_u_bull_10_4" elif 0.10 > current_profit >= 0.09: if last_candle["rsi_14"] < 48.0: return True, "sell_profit_u_bull_9_1" elif ( (last_candle["rsi_14"] < 55.0) and (last_candle["cmf"] < -0.12) and (last_candle["rsi_14_1h"] < 50.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_u_bull_9_2" elif (last_candle["rsi_14"] < 52.0) and (last_candle["rsi_14_1h"] < 43.0): return True, "sell_profit_u_bull_9_3" elif ( (last_candle["rsi_14"] < 52.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 43.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_u_bull_9_4" elif 0.09 > current_profit >= 0.08: if last_candle["rsi_14"] < 47.0: return True, "sell_profit_u_bull_8_1" elif ( (last_candle["rsi_14"] < 54.0) and (last_candle["cmf"] < -0.12) and (last_candle["rsi_14_1h"] < 50.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_u_bull_8_2" elif (last_candle["rsi_14"] < 51.0) and (last_candle["rsi_14_1h"] < 42.0): return True, "sell_profit_u_bull_8_3" elif ( (last_candle["rsi_14"] < 51.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 43.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_u_bull_8_4" elif 0.08 > current_profit >= 0.07: if last_candle["rsi_14"] < 46.0: return True, "sell_profit_u_bull_7_1" elif ( (last_candle["rsi_14"] < 53.0) and (last_candle["cmf"] < -0.12) and (last_candle["rsi_14_1h"] < 50.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_u_bull_7_2" elif (last_candle["rsi_14"] < 50.0) and (last_candle["rsi_14_1h"] < 41.0): return True, "sell_profit_u_bull_7_3" elif ( (last_candle["rsi_14"] < 50.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 43.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_u_bull_7_4" elif 0.07 > current_profit >= 0.06: if last_candle["rsi_14"] < 45.0: return True, "sell_profit_u_bull_6_1" elif ( (last_candle["rsi_14"] < 52.0) and (last_candle["cmf"] < -0.12) and (last_candle["rsi_14_1h"] < 50.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_u_bull_6_2" elif (last_candle["rsi_14"] < 48.0) and (last_candle["rsi_14_1h"] < 40.0): return True, "sell_profit_u_bull_6_3" elif ( (last_candle["rsi_14"] < 48.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 43.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_u_bull_6_4" elif 0.06 > current_profit >= 0.05: if last_candle["rsi_14"] < 44.0: return True, "sell_profit_u_bull_5_1" elif ( (last_candle["rsi_14"] < 50.0) and (last_candle["cmf"] < -0.13) and (last_candle["rsi_14_1h"] < 50.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_u_bull_5_2" elif (last_candle["rsi_14"] < 46.0) and (last_candle["rsi_14_1h"] < 39.0): return True, "sell_profit_u_bull_5_3" elif ( (last_candle["rsi_14"] < 46.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 43.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_u_bull_5_4" elif 0.05 > current_profit >= 0.04: if last_candle["rsi_14"] < 43.0: return True, "sell_profit_u_bull_4_1" elif ( (last_candle["rsi_14"] < 48.0) and (last_candle["cmf"] < -0.14) and (last_candle["rsi_14_1h"] < 49.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_u_bull_4_2" elif (last_candle["rsi_14"] < 44.0) and (last_candle["rsi_14_1h"] < 38.0): return True, "sell_profit_u_bull_4_3" elif ( (last_candle["rsi_14"] < 44.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 43.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_u_bull_4_4" elif 0.04 > current_profit >= 0.03: if last_candle["rsi_14"] < 39.0: return True, "sell_profit_u_bull_3_1" elif ( (last_candle["rsi_14"] < 44.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 48.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_u_bull_3_2" elif (last_candle["rsi_14"] < 40.0) and (last_candle["rsi_14_1h"] < 37.0): return True, "sell_profit_u_bull_3_3" elif ( (last_candle["rsi_14"] < 42.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 43.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_u_bull_3_4" elif 0.03 > current_profit >= 0.02: if last_candle["rsi_14"] < 35.0: return True, "sell_profit_u_bull_2_1" elif ( (last_candle["rsi_14"] < 40.0) and (last_candle["cmf"] < -0.16) and (last_candle["rsi_14_1h"] < 47.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_u_bull_2_2" elif (last_candle["rsi_14"] < 36.0) and (last_candle["rsi_14_1h"] < 36.0): return True, "sell_profit_u_bull_2_3" elif ( (last_candle["rsi_14"] < 41.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 43.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_u_bull_2_4" elif 0.02 > current_profit >= 0.01: if last_candle["rsi_14"] < 33.0: return True, "sell_profit_u_bull_1_1" elif ( (last_candle["rsi_14"] < 38.0) and (last_candle["cmf"] < -0.2) and (last_candle["rsi_14_1h"] < 45.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_u_bull_1_2" elif (last_candle["rsi_14"] < 34.0) and (last_candle["rsi_14_1h"] < 35.0): return True, "sell_profit_u_bull_1_3" elif ( (last_candle["rsi_14"] < 40.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 43.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_u_bull_1_4" else: if current_profit >= 0.20: if last_candle["rsi_14"] < 32.0: return True, "sell_profit_u_bear_12_1" elif ( (last_candle["rsi_14"] < 37.0) and (last_candle["cmf"] < -0.28) and (last_candle["rsi_14_1h"] < 37.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_u_bear_12_2" elif (last_candle["rsi_14"] < 33.0) and (last_candle["rsi_14_1h"] < 36.0): return True, "sell_profit_u_bear_12_3" elif ( (last_candle["rsi_14"] < 33.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 44.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_u_bear_12_4" elif 0.20 > current_profit >= 0.12: if last_candle["rsi_14"] < 34.0: return True, "sell_profit_u_bear_11_1" elif ( (last_candle["rsi_14"] < 39.0) and (last_candle["cmf"] < -0.24) and (last_candle["rsi_14_1h"] < 39.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_u_bear_11_2" elif (last_candle["rsi_14"] < 35.0) and (last_candle["rsi_14_1h"] < 38.0): return True, "sell_profit_u_bear_11_3" elif ( (last_candle["rsi_14"] < 35.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 44.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_u_bear_11_4" elif 0.12 > current_profit >= 0.10: if last_candle["rsi_14"] < 42.0: return True, "sell_profit_u_bear_10_1" elif ( (last_candle["rsi_14"] < 47.0) and (last_candle["cmf"] < -0.22) and (last_candle["rsi_14_1h"] < 45.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_u_bear_10_2" elif (last_candle["rsi_14"] < 43.0) and (last_candle["rsi_14_1h"] < 40.0): return True, "sell_profit_u_bear_10_3" elif ( (last_candle["rsi_14"] < 48.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 44.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_u_bear_10_4" elif 0.10 > current_profit >= 0.09: if last_candle["rsi_14"] < 49.0: return True, "sell_profit_u_bear_9_1" elif ( (last_candle["rsi_14"] < 58.0) and (last_candle["cmf"] < -0.12) and (last_candle["rsi_14_1h"] < 51.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_o_bear_9_2" elif (last_candle["rsi_14"] < 55.0) and (last_candle["rsi_14_1h"] < 43.0): return True, "sell_profit_u_bear_9_3" elif ( (last_candle["rsi_14"] < 55.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 44.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_u_bear_9_4" elif 0.09 > current_profit >= 0.08: if last_candle["rsi_14"] < 48.0: return True, "sell_profit_u_bear_8_1" elif ( (last_candle["rsi_14"] < 57.0) and (last_candle["cmf"] < -0.12) and (last_candle["rsi_14_1h"] < 51.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_u_bear_8_2" elif (last_candle["rsi_14"] < 53.0) and (last_candle["rsi_14_1h"] < 42.0): return True, "sell_profit_u_bear_8_3" elif ( (last_candle["rsi_14"] < 53.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 44.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_u_bear_8_4" elif 0.08 > current_profit >= 0.07: if last_candle["rsi_14"] < 47.0: return True, "sell_profit_u_bear_7_1" elif ( (last_candle["rsi_14"] < 56.0) and (last_candle["cmf"] < -0.12) and (last_candle["rsi_14_1h"] < 51.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_u_bear_7_2" elif (last_candle["rsi_14"] < 51.0) and (last_candle["rsi_14_1h"] < 41.0): return True, "sell_profit_u_bear_7_3" elif ( (last_candle["rsi_14"] < 51.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 44.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_u_bear_7_4" elif 0.07 > current_profit >= 0.06: if last_candle["rsi_14"] < 46.0: return True, "sell_profit_u_bear_6_1" elif ( (last_candle["rsi_14"] < 55.0) and (last_candle["cmf"] < -0.12) and (last_candle["rsi_14_1h"] < 51.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_u_bear_6_2" elif (last_candle["rsi_14"] < 49.0) and (last_candle["rsi_14_1h"] < 40.0): return True, "sell_profit_u_bear_6_3" elif ( (last_candle["rsi_14"] < 49.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 44.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_u_bear_6_4" elif 0.06 > current_profit >= 0.05: if last_candle["rsi_14"] < 45.0: return True, "sell_profit_u_bear_5_1" elif ( (last_candle["rsi_14"] < 54.0) and (last_candle["cmf"] < -0.12) and (last_candle["rsi_14_1h"] < 51.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_u_bear_5_2" elif (last_candle["rsi_14"] < 47.0) and (last_candle["rsi_14_1h"] < 39.0): return True, "sell_profit_u_bear_5_3" elif ( (last_candle["rsi_14"] < 47.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 44.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_u_bear_5_4" elif 0.05 > current_profit >= 0.04: if last_candle["rsi_14"] < 44.0: return True, "sell_profit_u_bear_4_1" elif ( (last_candle["rsi_14"] < 53.0) and (last_candle["cmf"] < -0.13) and (last_candle["rsi_14_1h"] < 50.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_u_bear_4_2" elif (last_candle["rsi_14"] < 45.0) and (last_candle["rsi_14_1h"] < 38.0): return True, "sell_profit_u_bear_4_3" elif ( (last_candle["rsi_14"] < 45.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 44.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_u_bear_4_4" elif 0.04 > current_profit >= 0.03: if last_candle["rsi_14"] < 40.0: return True, "sell_profit_u_bear_3_1" elif ( (last_candle["rsi_14"] < 52.0) and (last_candle["cmf"] < -0.14) and (last_candle["rsi_14_1h"] < 49.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_u_bear_3_2" elif (last_candle["rsi_14"] < 41.0) and (last_candle["rsi_14_1h"] < 37.0): return True, "sell_profit_u_bear_3_3" elif ( (last_candle["rsi_14"] < 43.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 44.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_u_bear_3_4" elif 0.03 > current_profit >= 0.02: if last_candle["rsi_14"] < 36.0: return True, "sell_profit_u_bear_2_1" elif ( (last_candle["rsi_14"] < 51.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 48.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_u_bear_2_2" elif (last_candle["rsi_14"] < 37.0) and (last_candle["rsi_14_1h"] < 36.0): return True, "sell_profit_u_bear_2_3" elif ( (last_candle["rsi_14"] < 42.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 44.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_u_bear_2_4" elif 0.02 > current_profit >= 0.01: if last_candle["rsi_14"] < 34.0: return True, "sell_profit_u_bear_1_1" elif ( (last_candle["rsi_14"] < 39.0) and (last_candle["cmf"] < -0.2) and (last_candle["rsi_14_1h"] < 46.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) ): return True, "sell_profit_u_bear_1_2" elif (last_candle["rsi_14"] < 35.0) and (last_candle["rsi_14_1h"] < 35.0): return True, "sell_profit_u_bear_1_3" elif ( (last_candle["rsi_14"] < 41.0) and (last_candle["cmf"] < -0.15) and (last_candle["rsi_14_1h"] < 44.0) and (last_candle["ema_12"] < last_candle["ema_26"]) and (last_candle["ema_25"] < last_candle["ema_50"]) and (last_candle["close"] < last_candle["sup_level_1h"]) ): return True, "sell_profit_u_bear_1_4" return False, None def sell_r( self, current_profit: float, max_profit: float, max_loss: float, last_candle, previous_candle_1, trade: "Trade", current_time: "datetime", ) -> tuple: if 0.02 > current_profit >= 0.012: if last_candle["r_480"] > -0.4: return True, "sell_profit_w_1_1" elif (last_candle["r_480"] > -4.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["cti"] > 0.9): return True, "sell_profit_w_1_2" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] < 44.0): return True, "sell_profit_w_1_3" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 79.0): return True, "sell_profit_w_1_4" elif (last_candle["r_14"] > -5.0) and (last_candle["cti"] > 0.96): return True, "sell_profit_w_1_5" elif (last_candle["r_480"] > -4.0) and (last_candle["rsi_14"] > 79.0) and (last_candle["r_480_1h"] > -3.0): return True, "sell_profit_w_1_6" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["cci"] > 320.0): return True, "sell_profit_w_1_7" elif ( (last_candle["r_14"] > -0.1) and (last_candle["rsi_14"] > 78.0) and (last_candle["cci"] > 220.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_w_1_8" elif ( (last_candle["r_14"] >= -0.1) and (last_candle["rsi_14"] > 76.0) and (last_candle["cti"] > 0.88) and (last_candle["cci"] > 190.0) and (last_candle["r_480_1h"] > -8.0) ): return True, "sell_profit_w_1_9" elif (last_candle["r_480"] < -65.0) and (last_candle["cti"] > 0.95) and (last_candle["rsi_14"] > 75.0): return True, "sell_profit_w_1_10" elif ( (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] > 76.0) and (last_candle["cti"] > 0.9) and (last_candle["cci"] > 150.0) and (last_candle["r_480"] < -50.0) and (last_candle["cmf_1h"] < -0.1) ): return True, "sell_profit_w_1_11" elif (last_candle["r_14"] > -0.1) and (last_candle["rsi_14"] < 46.0) and (last_candle["cmf_1h"] < -0.25): return True, "sell_profit_w_1_12" elif ( (last_candle["r_14"] >= -1.0) and (last_candle["rsi_14"] > 79.0) and (last_candle["cci"] > 400.0) and (last_candle["cmf_1h"] < -0.0) ): return True, "sell_profit_w_1_13" elif ( (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 79.0) and (last_candle["cci"] > 320.0) and (last_candle["hl_pct_change_48_1h"] > 0.5) ): return True, "sell_profit_w_1_14" elif ( (last_candle["r_14"] > -6.0) and (last_candle["r_480_1h"] > -12.0) and (last_candle["rsi_14"] > 79.5) and (last_candle["cci"] > 320.0) ): return True, "sell_profit_w_1_15" elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] < 40.0) and (last_candle["rsi_14_1h"] < 42.0): return True, "sell_profit_w_1_16" elif ( (last_candle["r_14"] > -6.0) and (last_candle["rsi_14"] < 48.0) and (last_candle["r_480"] < -50.0) and (last_candle["close"] < last_candle["ema_200"]) and (last_candle["rsi_14_1h"] < 38.0) ): return True, "sell_profit_w_1_17" elif ( (last_candle["r_14"] > -0.1) and (last_candle["rsi_14"] > 71.0) and (last_candle["cti"] > 0.8) and (last_candle["cci"] > 220.0) and (last_candle["cmf_1h"] < -0.0) and (current_time - timedelta(minutes=720) > trade.open_date_utc) ): return True, "sell_profit_w_1_18" elif ( (last_candle["r_96"] > -4.0) and (last_candle["rsi_14"] > 77.0) and (last_candle["cci"] > 220.0) and (last_candle["r_480_1h"] > -6.0) and (last_candle["rsi_14_1h"] > 74.0) ): return True, "sell_profit_w_1_19" elif ( (last_candle["r_14"] > -1.0) and (last_candle["r_32"] > -1.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["cti"] > 0.88) ): return True, "sell_profit_w_1_20" elif (last_candle["r_14"] > -2.0) and (last_candle["r_32"] > -3.0) and (last_candle["rsi_14"] > 79.0): return True, "sell_profit_w_1_21" elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 77.0) and (last_candle["r_480_1h"] > -25.0): return True, "sell_profit_w_1_22" elif ( (last_candle["r_24"] > -5.0) and (last_candle["r_32"] > -5.0) and (last_candle["r_64"] > -4.0) and (last_candle["rsi_14"] > 72.0) and (last_candle["cti"] > 0.8) ): return True, "sell_profit_w_1_23" elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 79.0) and (last_candle["cci"] > 400.0): return True, "sell_profit_w_1_24" elif 0.03 > current_profit >= 0.02: if last_candle["r_480"] > -0.5: return True, "sell_profit_w_2_1" elif (last_candle["r_480"] > -4.5) and (last_candle["rsi_14"] > 78.0) and (last_candle["cti"] > 0.9): return True, "sell_profit_w_2_2" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] < 46.0): return True, "sell_profit_w_2_3" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 78.5): return True, "sell_profit_w_2_4" elif (last_candle["r_14"] > -5.0) and (last_candle["cti"] > 0.958): return True, "sell_profit_w_2_5" elif (last_candle["r_480"] > -5.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["r_480_1h"] > -3.5): return True, "sell_profit_w_2_6" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 77.0) and (last_candle["cci"] > 320.0): return True, "sell_profit_w_2_7" elif ( (last_candle["r_14"] > -0.2) and (last_candle["rsi_14"] > 77.0) and (last_candle["cci"] > 220.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_w_2_8" elif ( (last_candle["r_14"] >= -0.1) and (last_candle["rsi_14"] > 74.0) and (last_candle["cti"] > 0.86) and (last_candle["cci"] > 180.0) and (last_candle["r_480_1h"] > -10.0) ): return True, "sell_profit_w_2_9" elif (last_candle["r_480"] < -65.0) and (last_candle["cti"] > 0.93) and (last_candle["rsi_14"] > 73.0): return True, "sell_profit_w_2_10" elif ( (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] > 74.0) and (last_candle["cti"] > 0.88) and (last_candle["cci"] > 140.0) and (last_candle["r_480"] < -50.0) and (last_candle["cmf_1h"] < -0.1) ): return True, "sell_profit_w_2_11" elif (last_candle["r_14"] > -0.5) and (last_candle["rsi_14"] < 48.0) and (last_candle["cmf_1h"] < -0.23): return True, "sell_profit_w_2_12" elif ( (last_candle["r_14"] >= -3.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["cci"] > 360.0) and (last_candle["cmf_1h"] < -0.0) ): return True, "sell_profit_w_2_13" elif ( (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] > 76.0) and (last_candle["cci"] > 280.0) and (last_candle["hl_pct_change_48_1h"] > 0.5) ): return True, "sell_profit_w_2_14" elif ( (last_candle["r_14"] > -8.0) and (last_candle["r_480_1h"] > -14.0) and (last_candle["rsi_14"] > 79.0) and (last_candle["cci"] > 310.0) ): return True, "sell_profit_w_2_15" elif (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] < 44.0) and (last_candle["rsi_14_1h"] < 44.0): return True, "sell_profit_w_2_16" elif ( (last_candle["r_14"] > -8.0) and (last_candle["rsi_14"] < 52.0) and (last_candle["r_480"] < -50.0) and (last_candle["close"] < last_candle["ema_200"]) and (last_candle["rsi_14_1h"] < 42.0) ): return True, "sell_profit_w_2_17" elif ( (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 67.0) and (last_candle["cti"] > 0.8) and (last_candle["cci"] > 200.0) and (last_candle["cmf_1h"] < -0.0) and (current_time - timedelta(minutes=720) > trade.open_date_utc) ): return True, "sell_profit_w_2_18" elif ( (last_candle["r_96"] > -8.0) and (last_candle["rsi_14"] > 75.0) and (last_candle["cci"] > 200.0) and (last_candle["r_480_1h"] > -10.0) and (last_candle["rsi_14_1h"] > 72.0) ): return True, "sell_profit_w_2_19" elif ( (last_candle["r_14"] > -1.0) and (last_candle["r_32"] > -1.0) and (last_candle["rsi_14"] > 77.0) and (last_candle["cti"] > 0.87) ): return True, "sell_profit_w_2_20" elif (last_candle["r_14"] > -2.0) and (last_candle["r_32"] > -3.0) and (last_candle["rsi_14"] > 78.0): return True, "sell_profit_w_2_21" elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 75.0) and (last_candle["r_480_1h"] > -25.0): return True, "sell_profit_w_2_22" elif ( (last_candle["r_24"] > -6.0) and (last_candle["r_32"] > -6.0) and (last_candle["r_64"] > -5.0) and (last_candle["rsi_14"] > 70.0) and (last_candle["cti"] > 0.8) ): return True, "sell_profit_w_2_23" elif (last_candle["r_14"] > -3.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["cci"] > 400.0): return True, "sell_profit_w_2_24" elif 0.04 > current_profit >= 0.03: if last_candle["r_480"] > -0.6: return True, "sell_profit_w_3_1" elif (last_candle["r_480"] > -5.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["cti"] > 0.9): return True, "sell_profit_w_3_2" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] < 48.0): return True, "sell_profit_w_3_3" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 78.0): return True, "sell_profit_w_3_4" elif (last_candle["r_14"] > -5.0) and (last_candle["cti"] > 0.956): return True, "sell_profit_w_3_5" elif (last_candle["r_480"] > -6.0) and (last_candle["rsi_14"] > 76.0) and (last_candle["r_480_1h"] > -4.0): return True, "sell_profit_w_3_6" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 76.0) and (last_candle["cci"] > 320.0): return True, "sell_profit_w_3_7" elif ( (last_candle["r_14"] > -0.4) and (last_candle["rsi_14"] > 74.0) and (last_candle["cci"] > 220.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_w_3_8" elif ( (last_candle["r_14"] >= -0.1) and (last_candle["rsi_14"] > 72.0) and (last_candle["cti"] > 0.84) and (last_candle["cci"] > 170.0) and (last_candle["r_480_1h"] > -12.0) ): return True, "sell_profit_w_3_9" elif (last_candle["r_480"] < -65.0) and (last_candle["cti"] > 0.92) and (last_candle["rsi_14"] > 72.0): return True, "sell_profit_w_3_10" elif ( (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] > 72.0) and (last_candle["cti"] > 0.87) and (last_candle["cci"] > 130.0) and (last_candle["r_480"] < -50.0) and (last_candle["cmf_1h"] < -0.1) ): return True, "sell_profit_w_3_11" elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] < 50.0) and (last_candle["cmf_1h"] < -0.22): return True, "sell_profit_w_3_12" elif ( (last_candle["r_14"] >= -6.0) and (last_candle["rsi_14"] > 76.0) and (last_candle["cci"] > 320.0) and (last_candle["cmf_1h"] < -0.0) ): return True, "sell_profit_w_3_13" elif ( (last_candle["r_14"] > -3.0) and (last_candle["rsi_14"] > 72.0) and (last_candle["cci"] > 260.0) and (last_candle["hl_pct_change_48_1h"] > 0.5) ): return True, "sell_profit_w_3_14" elif ( (last_candle["r_14"] > -10.0) and (last_candle["r_480_1h"] > -16.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["cci"] > 300.0) ): return True, "sell_profit_w_3_15" elif (last_candle["r_14"] > -3.0) and (last_candle["rsi_14"] < 48.0) and (last_candle["rsi_14_1h"] < 46.0): return True, "sell_profit_w_3_16" elif ( (last_candle["r_14"] > -10.0) and (last_candle["rsi_14"] < 56.0) and (last_candle["r_480"] < -50.0) and (last_candle["close"] < last_candle["ema_200"]) and (last_candle["rsi_14_1h"] < 46.0) ): return True, "sell_profit_w_3_17" elif ( (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] > 63.0) and (last_candle["cti"] > 0.8) and (last_candle["cci"] > 180.0) and (last_candle["cmf_1h"] < -0.0) and (current_time - timedelta(minutes=720) > trade.open_date_utc) ): return True, "sell_profit_w_3_18" elif ( (last_candle["r_96"] > -12.0) and (last_candle["rsi_14"] > 73.0) and (last_candle["cci"] > 190.0) and (last_candle["r_480_1h"] > -14.0) and (last_candle["rsi_14_1h"] > 70.0) ): return True, "sell_profit_w_3_19" elif ( (last_candle["r_14"] > -1.0) and (last_candle["r_32"] > -1.0) and (last_candle["rsi_14"] > 76.0) and (last_candle["cti"] > 0.86) ): return True, "sell_profit_w_3_20" elif (last_candle["r_14"] > -2.0) and (last_candle["r_32"] > -3.0) and (last_candle["rsi_14"] > 77.0): return True, "sell_profit_w_3_21" elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 73.0) and (last_candle["r_480_1h"] > -25.0): return True, "sell_profit_w_3_22" elif ( (last_candle["r_24"] > -7.0) and (last_candle["r_32"] > -7.0) and (last_candle["r_64"] > -6.0) and (last_candle["rsi_14"] > 68.0) and (last_candle["cti"] > 0.8) ): return True, "sell_profit_w_3_23" elif (last_candle["r_14"] > -5.0) and (last_candle["rsi_14"] > 77.0) and (last_candle["cci"] > 400.0): return True, "sell_profit_w_3_24" elif 0.05 > current_profit >= 0.04: if last_candle["r_480"] > -0.7: return True, "sell_profit_w_4_1" elif (last_candle["r_480"] > -5.5) and (last_candle["rsi_14"] > 78.0) and (last_candle["cti"] > 0.9): return True, "sell_profit_w_4_2" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] < 50.0): return True, "sell_profit_w_4_3" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 77.5): return True, "sell_profit_w_4_4" elif (last_candle["r_14"] > -5.0) and (last_candle["cti"] > 0.954): return True, "sell_profit_w_4_5" elif (last_candle["r_480"] > -7.0) and (last_candle["rsi_14"] > 74.0) and (last_candle["r_480_1h"] > -4.5): return True, "sell_profit_w_4_6" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 75.5) and (last_candle["cci"] > 320.0): return True, "sell_profit_w_4_7" elif ( (last_candle["r_14"] > -0.5) and (last_candle["rsi_14"] > 71.0) and (last_candle["cci"] > 220.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_w_4_8" elif ( (last_candle["r_14"] >= -0.1) and (last_candle["rsi_14"] > 70.0) and (last_candle["cti"] > 0.83) and (last_candle["cci"] > 170.0) and (last_candle["r_480_1h"] > -13.0) ): return True, "sell_profit_w_4_9" elif (last_candle["r_480"] < -65.0) and (last_candle["cti"] > 0.91) and (last_candle["rsi_14"] > 71.0): return True, "sell_profit_w_4_10" elif ( (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] > 71.0) and (last_candle["cti"] > 0.86) and (last_candle["cci"] > 120.0) and (last_candle["r_480"] < -50.0) and (last_candle["cmf_1h"] < -0.1) ): return True, "sell_profit_w_4_11" elif (last_candle["r_14"] > -1.5) and (last_candle["rsi_14"] < 54.0) and (last_candle["cmf_1h"] < -0.21): return True, "sell_profit_w_4_12" elif ( (last_candle["r_14"] >= -9.0) and (last_candle["rsi_14"] > 74.0) and (last_candle["cci"] > 280.0) and (last_candle["cmf_1h"] < -0.0) ): return True, "sell_profit_w_4_13" elif ( (last_candle["r_14"] > -4.0) and (last_candle["rsi_14"] > 68.0) and (last_candle["cci"] > 220.0) and (last_candle["hl_pct_change_48_1h"] > 0.5) ): return True, "sell_profit_w_4_14" elif ( (last_candle["r_14"] > -12.0) and (last_candle["r_480_1h"] > -18.0) and (last_candle["rsi_14"] > 77.0) and (last_candle["cci"] > 290.0) ): return True, "sell_profit_w_4_15" elif (last_candle["r_14"] > -4.0) and (last_candle["rsi_14"] < 52.0) and (last_candle["rsi_14_1h"] < 48.0): return True, "sell_profit_w_4_16" elif ( (last_candle["r_14"] > -10.0) and (last_candle["rsi_14"] < 57.0) and (last_candle["r_480"] < -50.0) and (last_candle["close"] < last_candle["ema_200"]) and (last_candle["rsi_14_1h"] < 47.0) ): return True, "sell_profit_w_4_17" elif ( (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] > 66.0) and (last_candle["cti"] > 0.8) and (last_candle["cci"] > 190.0) and (last_candle["cmf_1h"] < -0.0) and (current_time - timedelta(minutes=720) > trade.open_date_utc) ): return True, "sell_profit_w_4_18" elif ( (last_candle["r_96"] > -11.0) and (last_candle["rsi_14"] > 74.0) and (last_candle["cci"] > 200.0) and (last_candle["r_480_1h"] > -13.0) and (last_candle["rsi_14_1h"] > 70.0) ): return True, "sell_profit_w_4_19" elif ( (last_candle["r_14"] > -1.0) and (last_candle["r_32"] > -1.0) and (last_candle["rsi_14"] > 75.0) and (last_candle["cti"] > 0.85) ): return True, "sell_profit_w_4_20" elif (last_candle["r_14"] > -2.0) and (last_candle["r_32"] > -3.0) and (last_candle["rsi_14"] > 76.0): return True, "sell_profit_w_4_21" elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 72.0) and (last_candle["r_480_1h"] > -25.0): return True, "sell_profit_w_4_22" elif ( (last_candle["r_24"] > -8.0) and (last_candle["r_32"] > -8.0) and (last_candle["r_64"] > -7.0) and (last_candle["rsi_14"] > 66.0) and (last_candle["cti"] > 0.8) ): return True, "sell_profit_w_4_23" elif (last_candle["r_14"] > -10.0) and (last_candle["rsi_14"] > 76.5) and (last_candle["cci"] > 400.0): return True, "sell_profit_w_4_24" elif 0.06 > current_profit >= 0.05: if last_candle["r_480"] > -1.0: return True, "sell_profit_w_5_1" elif (last_candle["r_480"] > -6.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["cti"] > 0.9): return True, "sell_profit_w_5_2" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] < 52.0): return True, "sell_profit_w_5_3" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 77.0): return True, "sell_profit_w_5_4" elif (last_candle["r_14"] > -5.0) and (last_candle["cti"] > 0.952): return True, "sell_profit_w_5_5" elif (last_candle["r_480"] > -8.0) and (last_candle["rsi_14"] > 72.0) and (last_candle["r_480_1h"] > -5.0): return True, "sell_profit_w_5_6" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 75.0) and (last_candle["cci"] > 320.0): return True, "sell_profit_w_5_7" elif ( (last_candle["r_14"] > -0.6) and (last_candle["rsi_14"] > 68.0) and (last_candle["cci"] > 220.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_w_5_8" elif ( (last_candle["r_14"] >= -0.1) and (last_candle["rsi_14"] > 69.0) and (last_candle["cti"] > 0.82) and (last_candle["cci"] > 170.0) and (last_candle["r_480_1h"] > -14.0) ): return True, "sell_profit_w_5_9" elif (last_candle["r_480"] < -65.0) and (last_candle["cti"] > 0.92) and (last_candle["rsi_14"] > 72.0): return True, "sell_profit_w_5_10" elif ( (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] > 70.0) and (last_candle["cti"] > 0.85) and (last_candle["cci"] > 120.0) and (last_candle["r_480"] < -45.0) and (last_candle["cmf_1h"] < -0.1) ): return True, "sell_profit_w_5_11" elif (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] < 56.0) and (last_candle["cmf_1h"] < -0.2): return True, "sell_profit_w_5_12" elif ( (last_candle["r_14"] >= -6.0) and (last_candle["rsi_14"] > 75.0) and (last_candle["cci"] > 300.0) and (last_candle["cmf_1h"] < -0.0) ): return True, "sell_profit_w_5_13" elif ( (last_candle["r_14"] > -3.0) and (last_candle["rsi_14"] > 69.0) and (last_candle["cci"] > 240.0) and (last_candle["hl_pct_change_48_1h"] > 0.5) ): return True, "sell_profit_w_5_14" elif ( (last_candle["r_14"] > -14.0) and (last_candle["r_480_1h"] > -20.0) and (last_candle["rsi_14"] > 76.0) and (last_candle["cci"] > 280.0) ): return True, "sell_profit_w_5_15" elif (last_candle["r_14"] > -5.0) and (last_candle["rsi_14"] < 56.0) and (last_candle["rsi_14_1h"] < 50.0): return True, "sell_profit_w_5_16" elif ( (last_candle["r_14"] > -8.0) and (last_candle["rsi_14"] < 54.0) and (last_candle["r_480"] < -50.0) and (last_candle["close"] < last_candle["ema_200"]) and (last_candle["rsi_14_1h"] < 44.0) ): return True, "sell_profit_w_5_17" elif ( (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] > 69.0) and (last_candle["cti"] > 0.8) and (last_candle["cci"] > 200.0) and (last_candle["cmf_1h"] < -0.0) and (current_time - timedelta(minutes=720) > trade.open_date_utc) ): return True, "sell_profit_w_5_18" elif ( (last_candle["r_96"] > -10.0) and (last_candle["rsi_14"] > 74.0) and (last_candle["cci"] > 200.0) and (last_candle["r_480_1h"] > -12.0) and (last_candle["rsi_14_1h"] > 72.0) ): return True, "sell_profit_w_5_19" elif ( (last_candle["r_14"] > -1.0) and (last_candle["r_32"] > -1.0) and (last_candle["rsi_14"] > 73.0) and (last_candle["cti"] > 0.84) ): return True, "sell_profit_w_5_20" elif (last_candle["r_14"] > -2.5) and (last_candle["r_32"] > -3.0) and (last_candle["rsi_14"] > 75.0): return True, "sell_profit_w_5_21" elif (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] > 70.0) and (last_candle["r_480_1h"] > -25.0): return True, "sell_profit_w_5_22" elif ( (last_candle["r_24"] > -9.0) and (last_candle["r_32"] > -9.0) and (last_candle["r_64"] > -8.0) and (last_candle["rsi_14"] > 64.0) and (last_candle["cti"] > 0.8) ): return True, "sell_profit_w_5_23" elif (last_candle["r_14"] > -15.0) and (last_candle["rsi_14"] > 76.0) and (last_candle["cci"] > 400.0): return True, "sell_profit_w_5_24" elif 0.07 > current_profit >= 0.06: if last_candle["r_480"] > -2.0: return True, "sell_profit_w_6_1" elif (last_candle["r_480"] > -6.5) and (last_candle["rsi_14"] > 78.0) and (last_candle["cti"] > 0.9): return True, "sell_profit_w_6_2" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] < 53.0): return True, "sell_profit_w_6_3" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 76.5): return True, "sell_profit_w_6_4" elif (last_candle["r_14"] > -5.0) and (last_candle["cti"] > 0.95): return True, "sell_profit_w_6_5" elif (last_candle["r_480"] > -10.0) and (last_candle["rsi_14"] > 70.0) and (last_candle["r_480_1h"] > -6.0): return True, "sell_profit_w_6_6" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 74.5) and (last_candle["cci"] > 320.0): return True, "sell_profit_w_6_7" elif ( (last_candle["r_14"] > -0.7) and (last_candle["rsi_14"] > 65.0) and (last_candle["cci"] > 220.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_w_6_8" elif ( (last_candle["r_14"] >= -0.1) and (last_candle["rsi_14"] > 71.0) and (last_candle["cti"] > 0.83) and (last_candle["cci"] > 180.0) and (last_candle["r_480_1h"] > -12.0) ): return True, "sell_profit_w_6_9" elif (last_candle["r_480"] < -65.0) and (last_candle["cti"] > 0.93) and (last_candle["rsi_14"] > 73.0): return True, "sell_profit_w_6_10" elif ( (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] > 69.0) and (last_candle["cti"] > 0.84) and (last_candle["cci"] > 100.0) and (last_candle["r_480"] < -45.0) and (last_candle["cmf_1h"] < -0.1) ): return True, "sell_profit_w_6_11" elif (last_candle["r_14"] > -2.5) and (last_candle["rsi_14"] < 58.0) and (last_candle["cmf_1h"] < -0.19): return True, "sell_profit_w_6_12" elif ( (last_candle["r_14"] >= -4.0) and (last_candle["rsi_14"] > 76.0) and (last_candle["cci"] > 320.0) and (last_candle["cmf_1h"] < -0.0) ): return True, "sell_profit_w_6_13" elif ( (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] > 70.0) and (last_candle["cci"] > 260.0) and (last_candle["hl_pct_change_48_1h"] > 0.5) ): return True, "sell_profit_w_6_14" elif ( (last_candle["r_14"] > -12.0) and (last_candle["r_480_1h"] > -18.0) and (last_candle["rsi_14"] > 77.0) and (last_candle["cci"] > 290.0) ): return True, "sell_profit_w_6_15" elif (last_candle["r_14"] > -4.0) and (last_candle["rsi_14"] < 52.0) and (last_candle["rsi_14_1h"] < 48.0): return True, "sell_profit_w_6_16" elif ( (last_candle["r_14"] > -7.0) and (last_candle["rsi_14"] < 52.0) and (last_candle["r_480"] < -50.0) and (last_candle["close"] < last_candle["ema_200"]) and (last_candle["rsi_14_1h"] < 43.0) ): return True, "sell_profit_w_6_17" elif ( (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 70.0) and (last_candle["cti"] > 0.8) and (last_candle["cci"] > 210.0) and (last_candle["cmf_1h"] < -0.0) and (current_time - timedelta(minutes=720) > trade.open_date_utc) ): return True, "sell_profit_w_6_18" elif ( (last_candle["r_96"] > -9.0) and (last_candle["rsi_14"] > 75.0) and (last_candle["cci"] > 210.0) and (last_candle["r_480_1h"] > -11.0) and (last_candle["rsi_14_1h"] > 72.0) ): return True, "sell_profit_w_6_19" elif ( (last_candle["r_14"] > -1.0) and (last_candle["r_32"] > -1.0) and (last_candle["rsi_14"] > 71.0) and (last_candle["cti"] > 0.83) ): return True, "sell_profit_w_6_20" elif (last_candle["r_14"] > -2.5) and (last_candle["r_32"] > -3.0) and (last_candle["rsi_14"] > 73.5): return True, "sell_profit_w_6_21" elif (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] > 66.0) and (last_candle["r_480_1h"] > -25.0): return True, "sell_profit_w_6_22" elif ( (last_candle["r_24"] > -8.0) and (last_candle["r_32"] > -8.0) and (last_candle["r_64"] > -7.0) and (last_candle["rsi_14"] > 66.0) and (last_candle["cti"] > 0.8) ): return True, "sell_profit_w_6_23" elif (last_candle["r_14"] > -10.0) and (last_candle["rsi_14"] > 76.0) and (last_candle["cci"] > 400.0): return True, "sell_profit_w_6_24" elif 0.08 > current_profit >= 0.07: if last_candle["r_480"] > -2.2: return True, "sell_profit_w_7_1" elif (last_candle["r_480"] > -7.0) and (last_candle["rsi_14"] > 79.0) and (last_candle["cti"] > 0.9): return True, "sell_profit_w_7_2" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] < 52.0): return True, "sell_profit_w_7_3" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 76.0): return True, "sell_profit_w_7_4" elif (last_candle["r_14"] > -5.0) and (last_candle["cti"] > 0.952): return True, "sell_profit_w_7_5" elif (last_candle["r_480"] > -12.0) and (last_candle["rsi_14"] > 68.0) and (last_candle["r_480_1h"] > -7.0): return True, "sell_profit_w_7_6" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 74.0) and (last_candle["cci"] > 320.0): return True, "sell_profit_w_7_7" elif ( (last_candle["r_14"] > -0.8) and (last_candle["rsi_14"] > 62.0) and (last_candle["cci"] > 220.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_w_7_8" elif ( (last_candle["r_14"] >= -0.1) and (last_candle["rsi_14"] > 72.0) and (last_candle["cti"] > 0.84) and (last_candle["cci"] > 180.0) and (last_candle["r_480_1h"] > -10.0) ): return True, "sell_profit_w_7_9" elif (last_candle["r_480"] < -65.0) and (last_candle["cti"] > 0.94) and (last_candle["rsi_14"] > 74.0): return True, "sell_profit_w_7_10" elif ( (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] > 68.0) and (last_candle["cti"] > 0.83) and (last_candle["cci"] > 100.0) and (last_candle["r_480"] < -45.0) and (last_candle["cmf_1h"] < -0.1) ): return True, "sell_profit_w_7_11" elif (last_candle["r_14"] > -3.0) and (last_candle["rsi_14"] < 60.0) and (last_candle["cmf_1h"] < -0.18): return True, "sell_profit_w_7_12" elif ( (last_candle["r_14"] >= -2.0) and (last_candle["rsi_14"] > 77.0) and (last_candle["cci"] > 340.0) and (last_candle["cmf_1h"] < -0.0) ): return True, "sell_profit_w_7_13" elif ( (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 71.0) and (last_candle["cci"] > 280.0) and (last_candle["hl_pct_change_48_1h"] > 0.5) ): return True, "sell_profit_w_7_14" elif ( (last_candle["r_14"] > -10.0) and (last_candle["r_480_1h"] > -16.0) and (last_candle["rsi_14"] > 77.5) and (last_candle["cci"] > 300.0) ): return True, "sell_profit_w_7_15" elif (last_candle["r_14"] > -3.0) and (last_candle["rsi_14"] < 48.0) and (last_candle["rsi_14_1h"] < 46.0): return True, "sell_profit_w_7_16" elif ( (last_candle["r_14"] > -6.0) and (last_candle["rsi_14"] < 48.0) and (last_candle["r_480"] < -50.0) and (last_candle["close"] < last_candle["ema_200"]) and (last_candle["rsi_14_1h"] < 42.0) ): return True, "sell_profit_w_7_17" elif ( (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 71.0) and (last_candle["cti"] > 0.8) and (last_candle["cci"] > 220.0) and (last_candle["cmf_1h"] < -0.0) and (current_time - timedelta(minutes=720) > trade.open_date_utc) ): return True, "sell_profit_w_7_18" elif ( (last_candle["r_96"] > -8.0) and (last_candle["rsi_14"] > 76.0) and (last_candle["cci"] > 220.0) and (last_candle["r_480_1h"] > -10.0) and (last_candle["rsi_14_1h"] > 74.0) ): return True, "sell_profit_w_7_19" elif ( (last_candle["r_14"] > -2.0) and (last_candle["r_32"] > -1.0) and (last_candle["rsi_14"] > 69.0) and (last_candle["cti"] > 0.82) ): return True, "sell_profit_w_7_20" elif (last_candle["r_14"] > -2.5) and (last_candle["r_32"] > -3.0) and (last_candle["rsi_14"] > 73.0): return True, "sell_profit_w_7_21" elif (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] > 61.0) and (last_candle["r_480_1h"] > -25.0): return True, "sell_profit_w_7_22" elif ( (last_candle["r_24"] > -7.0) and (last_candle["r_32"] > -7.0) and (last_candle["r_64"] > -6.0) and (last_candle["rsi_14"] > 68.0) and (last_candle["cti"] > 0.8) ): return True, "sell_profit_w_7_23" elif (last_candle["r_14"] > -7.0) and (last_candle["rsi_14"] > 77.0) and (last_candle["cci"] > 400.0): return True, "sell_profit_w_7_24" elif 0.09 > current_profit >= 0.08: if last_candle["r_480"] > -2.4: return True, "sell_profit_w_8_1" elif (last_candle["r_480"] > -7.5) and (last_candle["rsi_14"] > 79.0) and (last_candle["cti"] > 0.9): return True, "sell_profit_w_8_2" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] < 50.0): return True, "sell_profit_w_8_3" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 77.0): return True, "sell_profit_w_8_4" elif (last_candle["r_14"] > -5.0) and (last_candle["cti"] > 0.954): return True, "sell_profit_w_8_5" elif (last_candle["r_480"] > -14.0) and (last_candle["rsi_14"] > 66.0) and (last_candle["r_480_1h"] > -8.0): return True, "sell_profit_w_8_6" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 75.0) and (last_candle["cci"] > 320.0): return True, "sell_profit_w_8_7" elif ( (last_candle["r_14"] > -0.6) and (last_candle["rsi_14"] > 66.0) and (last_candle["cci"] > 220.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_w_8_8" elif ( (last_candle["r_14"] >= -0.1) and (last_candle["rsi_14"] > 73.0) and (last_candle["cti"] > 0.85) and (last_candle["cci"] > 180.0) and (last_candle["r_480_1h"] > -10.0) ): return True, "sell_profit_w_8_9" elif (last_candle["r_480"] < -65.0) and (last_candle["cti"] > 0.95) and (last_candle["rsi_14"] > 75.0): return True, "sell_profit_w_8_10" elif ( (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] > 70.0) and (last_candle["cti"] > 0.85) and (last_candle["cci"] > 110.0) and (last_candle["r_480"] < -45.0) and (last_candle["cmf_1h"] < -0.1) ): return True, "sell_profit_w_8_11" elif (last_candle["r_14"] > -4.0) and (last_candle["rsi_14"] < 62.0) and (last_candle["cmf_1h"] < -0.15): return True, "sell_profit_w_8_12" elif ( (last_candle["r_14"] >= -1.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["cci"] > 360.0) and (last_candle["cmf_1h"] < -0.0) ): return True, "sell_profit_w_8_13" elif ( (last_candle["r_14"] > -0.1) and (last_candle["rsi_14"] > 73.0) and (last_candle["cci"] > 300.0) and (last_candle["hl_pct_change_48_1h"] > 0.5) ): return True, "sell_profit_w_8_14" elif ( (last_candle["r_14"] > -8.0) and (last_candle["r_480_1h"] > -14.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["cci"] > 310.0) ): return True, "sell_profit_w_8_15" elif (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] < 44.0) and (last_candle["rsi_14_1h"] < 44.0): return True, "sell_profit_w_8_16" elif ( (last_candle["r_14"] > -5.0) and (last_candle["rsi_14"] < 46.0) and (last_candle["r_480"] < -50.0) and (last_candle["close"] < last_candle["ema_200"]) and (last_candle["rsi_14_1h"] < 40.0) ): return True, "sell_profit_w_8_17" elif ( (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 72.0) and (last_candle["cti"] > 0.8) and (last_candle["cci"] > 230.0) and (last_candle["cmf_1h"] < -0.0) and (current_time - timedelta(minutes=720) > trade.open_date_utc) ): return True, "sell_profit_w_8_18" elif ( (last_candle["r_96"] > -7.0) and (last_candle["rsi_14"] > 76.0) and (last_candle["cci"] > 220.0) and (last_candle["r_480_1h"] > -9.0) and (last_candle["rsi_14_1h"] > 74.0) ): return True, "sell_profit_w_8_19" elif ( (last_candle["r_14"] > -2.5) and (last_candle["r_32"] > -2.0) and (last_candle["rsi_14"] > 67.0) and (last_candle["cti"] > 0.81) ): return True, "sell_profit_w_8_20" elif (last_candle["r_14"] > -2.5) and (last_candle["r_32"] > -3.0) and (last_candle["rsi_14"] > 72.0): return True, "sell_profit_w_8_21" elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 68.0) and (last_candle["r_480_1h"] > -25.0): return True, "sell_profit_w_8_22" elif ( (last_candle["r_24"] > -6.0) and (last_candle["r_32"] > -6.0) and (last_candle["r_64"] > -5.0) and (last_candle["rsi_14"] > 70.0) and (last_candle["cti"] > 0.8) ): return True, "sell_profit_w_8_23" elif (last_candle["r_14"] > -5.0) and (last_candle["rsi_14"] > 77.0) and (last_candle["cci"] > 400.0): return True, "sell_profit_w_8_24" elif 0.1 > current_profit >= 0.09: if last_candle["r_480"] > -2.6: return True, "sell_profit_w_9_1" elif (last_candle["r_480"] > -6.0) and (last_candle["rsi_14"] > 79.0) and (last_candle["cti"] > 0.9): return True, "sell_profit_w_9_2" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] < 46.0): return True, "sell_profit_w_9_3" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 78.0): return True, "sell_profit_w_9_4" elif (last_candle["r_14"] > -5.0) and (last_candle["cti"] > 0.956): return True, "sell_profit_w_9_5" elif (last_candle["r_480"] > -16.0) and (last_candle["rsi_14"] > 64.0) and (last_candle["r_480_1h"] > -9.0): return True, "sell_profit_w_9_6" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 76.0) and (last_candle["cci"] > 320.0): return True, "sell_profit_w_9_7" elif ( (last_candle["r_14"] > -0.4) and (last_candle["rsi_14"] > 70.0) and (last_candle["cci"] > 220.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_w_9_8" elif ( (last_candle["r_14"] >= -0.1) and (last_candle["rsi_14"] > 75.0) and (last_candle["cti"] > 0.88) and (last_candle["cci"] > 190.0) and (last_candle["r_480_1h"] > -10.0) ): return True, "sell_profit_w_9_9" elif (last_candle["r_480"] < -65.0) and (last_candle["cti"] > 0.96) and (last_candle["rsi_14"] > 76.0): return True, "sell_profit_w_9_10" elif ( (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] > 72.0) and (last_candle["cti"] > 0.87) and (last_candle["cci"] > 120.0) and (last_candle["r_480"] < -50.0) and (last_candle["cmf_1h"] < -0.1) ): return True, "sell_profit_w_9_11" elif (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] < 58.0) and (last_candle["cmf_1h"] < -0.19): return True, "sell_profit_w_9_12" elif ( (last_candle["r_14"] >= -0.1) and (last_candle["rsi_14"] > 79.0) and (last_candle["cci"] > 380.0) and (last_candle["cmf_1h"] < -0.0) ): return True, "sell_profit_w_9_13" elif ( (last_candle["r_14"] > -0.1) and (last_candle["rsi_14"] > 75.0) and (last_candle["cci"] > 320.0) and (last_candle["hl_pct_change_48_1h"] > 0.5) ): return True, "sell_profit_w_9_14" elif ( (last_candle["r_14"] > -6.0) and (last_candle["r_480_1h"] > -12.0) and (last_candle["rsi_14"] > 78.5) and (last_candle["cci"] > 320.0) ): return True, "sell_profit_w_9_15" elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] < 40.0) and (last_candle["rsi_14_1h"] < 42.0): return True, "sell_profit_w_9_16" elif ( (last_candle["r_14"] > -4.0) and (last_candle["rsi_14"] < 44.0) and (last_candle["r_480"] < -50.0) and (last_candle["close"] < last_candle["ema_200"]) and (last_candle["rsi_14_1h"] < 38.0) ): return True, "sell_profit_w_9_17" elif ( (last_candle["r_14"] > -0.5) and (last_candle["rsi_14"] > 73.0) and (last_candle["cti"] > 0.8) and (last_candle["cci"] > 240.0) and (last_candle["cmf_1h"] < -0.0) and (current_time - timedelta(minutes=720) > trade.open_date_utc) ): return True, "sell_profit_w_9_18" elif ( (last_candle["r_96"] > -6.0) and (last_candle["rsi_14"] > 77.0) and (last_candle["cci"] > 240.0) and (last_candle["r_480_1h"] > -8.0) and (last_candle["rsi_14_1h"] > 75.0) ): return True, "sell_profit_w_9_19" elif ( (last_candle["r_14"] > -3.0) and (last_candle["r_32"] > -2.0) and (last_candle["rsi_14"] > 65.0) and (last_candle["cti"] > 0.8) ): return True, "sell_profit_w_9_20" elif (last_candle["r_14"] > -2.0) and (last_candle["r_32"] > -3.0) and (last_candle["rsi_14"] > 71.0): return True, "sell_profit_w_9_21" elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 72.0) and (last_candle["r_480_1h"] > -25.0): return True, "sell_profit_w_9_22" elif ( (last_candle["r_24"] > -5.0) and (last_candle["r_32"] > -5.0) and (last_candle["r_64"] > -4.0) and (last_candle["rsi_14"] > 72.0) and (last_candle["cti"] > 0.8) ): return True, "sell_profit_w_9_23" elif (last_candle["r_14"] > -3.0) and (last_candle["rsi_14"] > 77.0) and (last_candle["cci"] > 400.0): return True, "sell_profit_w_9_24" elif 0.12 > current_profit >= 0.1: if last_candle["r_480"] > -1.0: return True, "sell_profit_w_10_1" elif (last_candle["r_480"] > -5.0) and (last_candle["rsi_14"] > 79.0) and (last_candle["cti"] > 0.9): return True, "sell_profit_w_10_2" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] < 42.0): return True, "sell_profit_w_10_3" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 78.5): return True, "sell_profit_w_10_4" elif (last_candle["r_14"] > -5.0) and (last_candle["cti"] > 0.96): return True, "sell_profit_w_10_5" elif (last_candle["r_480"] > -18.0) and (last_candle["rsi_14"] > 60.0) and (last_candle["r_480_1h"] > -11.0): return True, "sell_profit_w_10_6" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 77.0) and (last_candle["cci"] > 320.0): return True, "sell_profit_w_10_7" elif ( (last_candle["r_14"] > -0.4) and (last_candle["rsi_14"] > 74.0) and (last_candle["cci"] > 220.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_w_10_8" elif ( (last_candle["r_14"] >= -0.1) and (last_candle["rsi_14"] > 77.0) and (last_candle["cti"] > 0.9) and (last_candle["cci"] > 200.0) and (last_candle["r_480_1h"] > -8.0) ): return True, "sell_profit_w_10_9" elif (last_candle["r_480"] < -65.0) and (last_candle["cti"] > 0.96) and (last_candle["rsi_14"] > 77.0): return True, "sell_profit_w_10_10" elif ( (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] > 74.0) and (last_candle["cti"] > 0.88) and (last_candle["cci"] > 130.0) and (last_candle["r_480"] < -50.0) and (last_candle["cmf_1h"] < -0.1) ): return True, "sell_profit_w_10_11" elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] < 50.0) and (last_candle["cmf_1h"] < -0.22): return True, "sell_profit_w_10_12" elif ( (last_candle["r_14"] >= -0.1) and (last_candle["rsi_14"] > 79.0) and (last_candle["cci"] > 400.0) and (last_candle["cmf_1h"] < -0.0) ): return True, "sell_profit_w_10_13" elif ( (last_candle["r_14"] > -0.1) and (last_candle["rsi_14"] > 77.0) and (last_candle["cci"] > 340.0) and (last_candle["hl_pct_change_48_1h"] > 0.5) ): return True, "sell_profit_w_10_14" elif ( (last_candle["r_14"] > -4.0) and (last_candle["r_480_1h"] > -10.0) and (last_candle["rsi_14"] > 79.0) and (last_candle["cci"] > 330.0) ): return True, "sell_profit_w_10_15" elif (last_candle["r_14"] > -0.1) and (last_candle["rsi_14"] < 36.0) and (last_candle["rsi_14_1h"] < 40.0): return True, "sell_profit_w_10_16" elif ( (last_candle["r_14"] > -3.0) and (last_candle["rsi_14"] < 42.0) and (last_candle["r_480"] < -50.0) and (last_candle["close"] < last_candle["ema_200"]) and (last_candle["rsi_14_1h"] < 37.0) ): return True, "sell_profit_w_10_17" elif ( (last_candle["r_14"] > -0.5) and (last_candle["rsi_14"] > 74.0) and (last_candle["cti"] > 0.8) and (last_candle["cci"] > 250.0) and (last_candle["cmf_1h"] < -0.0) and (current_time - timedelta(minutes=720) > trade.open_date_utc) ): return True, "sell_profit_w_10_18" elif ( (last_candle["r_96"] > -5.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["cci"] > 240.0) and (last_candle["r_480_1h"] > -7.0) and (last_candle["rsi_14_1h"] > 75.0) ): return True, "sell_profit_w_10_19" elif ( (last_candle["r_14"] > -1.0) and (last_candle["r_32"] > -1.0) and (last_candle["rsi_14"] > 69.0) and (last_candle["cti"] > 0.82) ): return True, "sell_profit_w_10_20" elif (last_candle["r_14"] > -2.0) and (last_candle["r_32"] > -3.0) and (last_candle["rsi_14"] > 73.0): return True, "sell_profit_w_10_21" elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 76.0) and (last_candle["r_480_1h"] > -25.0): return True, "sell_profit_w_10_22" elif ( (last_candle["r_24"] > -4.0) and (last_candle["r_32"] > -4.0) and (last_candle["r_64"] > -3.0) and (last_candle["rsi_14"] > 74.0) and (last_candle["cti"] > 0.8) ): return True, "sell_profit_w_10_23" elif (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["cci"] > 400.0): return True, "sell_profit_w_10_24" elif 0.2 > current_profit >= 0.12: if last_candle["r_480"] > -0.5: return True, "sell_profit_w_11_1" elif (last_candle["r_480"] > -4.5) and (last_candle["rsi_14"] > 80.0) and (last_candle["cti"] > 0.9): return True, "sell_profit_w_11_2" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] < 36.0): return True, "sell_profit_w_11_3" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 79.0): return True, "sell_profit_w_11_4" elif (last_candle["r_14"] > -5.0) and (last_candle["cti"] > 0.965): return True, "sell_profit_w_11_5" elif (last_candle["r_480"] > -10.0) and (last_candle["rsi_14"] > 70.0) and (last_candle["r_480_1h"] > -7.0): return True, "sell_profit_w_11_6" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["cci"] > 320.0): return True, "sell_profit_w_11_7" elif ( (last_candle["r_14"] > -0.2) and (last_candle["rsi_14"] > 77.0) and (last_candle["cci"] > 220.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_w_11_8" elif ( (last_candle["r_14"] >= -0.1) and (last_candle["rsi_14"] > 78.0) and (last_candle["cti"] > 0.9) and (last_candle["cci"] > 200.0) and (last_candle["r_480_1h"] > -8.0) ): return True, "sell_profit_w_11_9" elif (last_candle["r_480"] < -65.0) and (last_candle["cti"] > 0.96) and (last_candle["rsi_14"] > 78.0): return True, "sell_profit_w_11_10" elif ( (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] > 76.0) and (last_candle["cti"] > 0.89) and (last_candle["cci"] > 140.0) and (last_candle["r_480"] < -50.0) and (last_candle["cmf_1h"] < -0.1) ): return True, "sell_profit_w_11_11" elif (last_candle["r_14"] > -0.5) and (last_candle["rsi_14"] < 44.0) and (last_candle["cmf_1h"] < -0.25): return True, "sell_profit_w_11_12" elif ( (last_candle["r_14"] >= -0.1) and (last_candle["rsi_14"] > 80.0) and (last_candle["cci"] > 420.0) and (last_candle["cmf_1h"] < -0.0) ): return True, "sell_profit_w_11_13" elif ( (last_candle["r_14"] > -0.1) and (last_candle["rsi_14"] > 78.0) and (last_candle["cci"] > 360.0) and (last_candle["hl_pct_change_48_1h"] > 0.5) ): return True, "sell_profit_w_11_14" elif ( (last_candle["r_14"] > -2.0) and (last_candle["r_480_1h"] > -8.0) and (last_candle["rsi_14"] > 79.5) and (last_candle["cci"] > 340.0) ): return True, "sell_profit_w_11_15" elif (last_candle["r_14"] > -0.1) and (last_candle["rsi_14"] < 34.0) and (last_candle["rsi_14_1h"] < 38.0): return True, "sell_profit_w_11_16" elif ( (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] < 40.0) and (last_candle["r_480"] < -50.0) and (last_candle["close"] < last_candle["ema_200"]) and (last_candle["rsi_14_1h"] < 36.0) ): return True, "sell_profit_w_11_17" elif ( (last_candle["r_14"] > -0.1) and (last_candle["rsi_14"] > 75.0) and (last_candle["cti"] > 0.8) and (last_candle["cci"] > 260.0) and (last_candle["cmf_1h"] < -0.0) and (current_time - timedelta(minutes=720) > trade.open_date_utc) ): return True, "sell_profit_w_11_18" elif ( (last_candle["r_96"] > -4.0) and (last_candle["rsi_14"] > 79.0) and (last_candle["cci"] > 260.0) and (last_candle["r_480_1h"] > -6.0) and (last_candle["rsi_14_1h"] > 76.0) ): return True, "sell_profit_w_11_19" elif ( (last_candle["r_14"] > -1.0) and (last_candle["r_32"] > -1.0) and (last_candle["rsi_14"] > 74.0) and (last_candle["cti"] > 0.84) ): return True, "sell_profit_w_11_20" elif (last_candle["r_14"] > -1.0) and (last_candle["r_32"] > -2.0) and (last_candle["rsi_14"] > 75.0): return True, "sell_profit_w_11_21" elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 77.0) and (last_candle["r_480_1h"] > -25.0): return True, "sell_profit_w_11_22" elif ( (last_candle["r_24"] > -3.0) and (last_candle["r_32"] > -3.0) and (last_candle["r_64"] > -2.0) and (last_candle["rsi_14"] > 76.0) and (last_candle["cti"] > 0.8) ): return True, "sell_profit_w_11_23" elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["cci"] > 400.0): return True, "sell_profit_w_11_24" elif current_profit >= 0.2: if last_candle["r_480"] > -0.4: return True, "sell_profit_w_12_1" elif (last_candle["r_480"] > -4.0) and (last_candle["rsi_14"] > 80.0) and (last_candle["cti"] > 0.9): return True, "sell_profit_w_12_2" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] < 32.0): return True, "sell_profit_w_12_3" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 79.5): return True, "sell_profit_w_12_4" elif (last_candle["r_14"] > -5.0) and (last_candle["cti"] > 0.97): return True, "sell_profit_w_12_5" elif (last_candle["r_480"] > -5.0) and (last_candle["rsi_14"] > 75.0) and (last_candle["r_480_1h"] > -4.0): return True, "sell_profit_w_12_6" elif (last_candle["r_14"] == 0.0) and (last_candle["rsi_14"] > 79.0) and (last_candle["cci"] > 320.0): return True, "sell_profit_w_12_7" elif ( (last_candle["r_14"] > -0.1) and (last_candle["rsi_14"] > 79.0) and (last_candle["cci"] > 220.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_w_12_8" elif ( (last_candle["r_14"] >= -0.1) and (last_candle["rsi_14"] > 79.0) and (last_candle["cti"] > 0.9) and (last_candle["cci"] > 200.0) and (last_candle["r_480_1h"] > -8.0) ): return True, "sell_profit_w_12_9" elif (last_candle["r_480"] < -65.0) and (last_candle["cti"] > 0.96) and (last_candle["rsi_14"] > 79.0): return True, "sell_profit_w_12_10" elif ( (last_candle["r_14"] > -2.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["cti"] > 0.9) and (last_candle["cci"] > 150.0) and (last_candle["r_480"] < -50.0) and (last_candle["cmf_1h"] < -0.1) ): return True, "sell_profit_w_12_11" elif (last_candle["r_14"] > -0.1) and (last_candle["rsi_14"] < 40.0) and (last_candle["cmf_1h"] < -0.28): return True, "sell_profit_w_12_12" elif ( (last_candle["r_14"] >= -0.1) and (last_candle["rsi_14"] > 80.0) and (last_candle["cci"] > 440.0) and (last_candle["cmf_1h"] < -0.0) ): return True, "sell_profit_w_12_13" elif ( (last_candle["r_14"] > -0.1) and (last_candle["rsi_14"] > 79.0) and (last_candle["cci"] > 380.0) and (last_candle["hl_pct_change_48_1h"] > 0.5) ): return True, "sell_profit_w_12_14" elif ( (last_candle["r_14"] > -1.0) and (last_candle["r_480_1h"] > -6.0) and (last_candle["rsi_14"] > 80.0) and (last_candle["cci"] > 350.0) ): return True, "sell_profit_w_12_15" elif (last_candle["r_14"] > -0.1) and (last_candle["rsi_14"] < 32.0) and (last_candle["rsi_14_1h"] < 36.0): return True, "sell_profit_w_12_16" elif ( (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] < 38.0) and (last_candle["r_480"] < -50.0) and (last_candle["close"] < last_candle["ema_200"]) and (last_candle["rsi_14_1h"] < 35.0) ): return True, "sell_profit_w_12_17" elif ( (last_candle["r_14"] > -0.1) and (last_candle["rsi_14"] > 77.0) and (last_candle["cti"] > 0.8) and (last_candle["cci"] > 270.0) and (last_candle["cmf_1h"] < -0.0) and (current_time - timedelta(minutes=720) > trade.open_date_utc) ): return True, "sell_profit_w_12_18" elif ( (last_candle["r_96"] > -3.0) and (last_candle["rsi_14"] > 79.0) and (last_candle["cci"] > 260.0) and (last_candle["r_480_1h"] > -5.0) and (last_candle["rsi_14_1h"] > 77.0) ): return True, "sell_profit_w_12_19" elif ( (last_candle["r_14"] > -1.0) and (last_candle["r_32"] > -1.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["cti"] > 0.88) ): return True, "sell_profit_w_12_20" elif (last_candle["r_14"] > -1.0) and (last_candle["r_32"] > -2.0) and (last_candle["rsi_14"] > 79.0): return True, "sell_profit_w_12_21" elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 79.0) and (last_candle["r_480_1h"] > -25.0): return True, "sell_profit_w_12_22" elif ( (last_candle["r_24"] > -2.0) and (last_candle["r_32"] > -2.0) and (last_candle["r_64"] > -1.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["cti"] > 0.8) ): return True, "sell_profit_w_12_23" elif (last_candle["r_14"] > -1.0) and (last_candle["rsi_14"] > 78.0) and (last_candle["cci"] > 400.0): return True, "sell_profit_w_12_24" return False, None def sell_trail( self, current_profit: float, max_profit: float, max_loss: float, last_candle, previous_candle_1, trade: "Trade", current_time: "datetime", ) -> tuple: if 0.02 > current_profit >= 0.012: if max_profit > (current_profit + 0.075): return True, "sell_profit_t_1_0" if (max_profit > (current_profit + 0.04)) and (last_candle["rsi_14"] < 34.0): return True, "sell_profit_t_1_1" elif ( (max_profit > (current_profit + 0.04)) and (last_candle["sma_200_dec_20"]) and (last_candle["rsi_14"] < 38.0) ): return True, "sell_profit_t_1_2" elif (max_profit > (current_profit + 0.07)) and (last_candle["rsi_14"] < 47.0): return True, "sell_profit_t_1_3" elif ( (max_profit > (current_profit + 0.05)) and (last_candle["rsi_14_1h"] < 40.0) and (last_candle["cti_1h"] < -0.9) ): return True, "sell_profit_t_1_4" elif ( (max_profit > (current_profit + 0.035)) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["cmf"] < -0.0) and (last_candle["close"] < last_candle["ema_200"]) ): return True, "sell_profit_t_1_5" elif ( (max_profit > (current_profit + 0.07)) and (last_candle["rsi_14"] < 43.0) and (last_candle["cmf"] < -0.1) and (last_candle["close"] < last_candle["ema_200"]) ): return True, "sell_profit_t_1_6" elif ( (max_profit > (current_profit + 0.06)) and (last_candle["rsi_14"] < 42.0) and (last_candle["rsi_14_1h"] < 45.0) ): return True, "sell_profit_t_1_7" elif ( (max_profit > (current_profit + 0.07)) and (last_candle["rsi_14"] < 50.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 52.0) and (current_time - timedelta(minutes=1440) > trade.open_date_utc) ): return True, "sell_profit_t_1_8" elif 0.03 > current_profit >= 0.02: if max_profit > (current_profit + 0.08): return True, "sell_profit_t_2_0" if (max_profit > (current_profit + 0.045)) and (last_candle["rsi_14"] < 35.0): return True, "sell_profit_t_2_1" elif ( (max_profit > (current_profit + 0.045)) and (last_candle["sma_200_dec_20"]) and (last_candle["rsi_14"] < 40.0) ): return True, "sell_profit_t_2_2" elif (max_profit > (current_profit + 0.07)) and (last_candle["rsi_14"] < 47.0): return True, "sell_profit_t_2_3" elif ( (max_profit > (current_profit + 0.055)) and (last_candle["rsi_14_1h"] < 44.0) and (last_candle["cti_1h"] < -0.8) ): return True, "sell_profit_t_2_4" elif ( (max_profit > (current_profit + 0.035)) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["cmf"] < -0.0) and (last_candle["close"] < last_candle["ema_200"]) ): return True, "sell_profit_t_2_5" elif ( (max_profit > (current_profit + 0.075)) and (last_candle["rsi_14"] < 44.0) and (last_candle["cmf"] < -0.1) and (last_candle["close"] < last_candle["ema_200"]) ): return True, "sell_profit_t_2_6" elif ( (max_profit > (current_profit + 0.065)) and (last_candle["rsi_14"] < 40.0) and (last_candle["rsi_14_1h"] < 44.0) ): return True, "sell_profit_t_2_7" elif ( (max_profit > (current_profit + 0.075)) and (last_candle["rsi_14"] < 48.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 50.0) and (current_time - timedelta(minutes=1440) > trade.open_date_utc) ): return True, "sell_profit_t_2_8" elif 0.04 > current_profit >= 0.03: if max_profit > (current_profit + 0.08): return True, "sell_profit_t_3_0" if (max_profit > (current_profit + 0.05)) and (last_candle["rsi_14"] < 36.0): return True, "sell_profit_t_3_1" elif ( (max_profit > (current_profit + 0.05)) and (last_candle["sma_200_dec_20"]) and (last_candle["rsi_14"] < 46.0) ): return True, "sell_profit_t_3_2" elif (max_profit > (current_profit + 0.07)) and (last_candle["rsi_14"] < 47.0): return True, "sell_profit_t_3_3" elif ( (max_profit > (current_profit + 0.06)) and (last_candle["rsi_14_1h"] < 49.0) and (last_candle["cti_1h"] < -0.6) ): return True, "sell_profit_t_3_4" elif ( (max_profit > (current_profit + 0.045)) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["cmf"] < -0.0) and (last_candle["close"] < last_candle["ema_200"]) ): return True, "sell_profit_t_3_5" elif ( (max_profit > (current_profit + 0.07)) and (last_candle["rsi_14"] < 45.0) and (last_candle["cmf"] < -0.1) and (last_candle["close"] < last_candle["ema_200"]) ): return True, "sell_profit_t_3_6" elif ( (max_profit > (current_profit + 0.07)) and (last_candle["rsi_14"] < 38.0) and (last_candle["rsi_14_1h"] < 43.0) ): return True, "sell_profit_t_3_7" elif ( (max_profit > (current_profit + 0.07)) and (last_candle["rsi_14"] < 46.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 48.0) and (current_time - timedelta(minutes=1440) > trade.open_date_utc) ): return True, "sell_profit_t_3_8" elif 0.05 > current_profit >= 0.04: if (max_profit > (current_profit + 0.055)) and (last_candle["rsi_14"] < 37.0): return True, "sell_profit_t_4_1" elif ( (max_profit > (current_profit + 0.055)) and (last_candle["sma_200_dec_20"]) and (last_candle["rsi_14"] < 47.0) ): return True, "sell_profit_t_4_2" elif (max_profit > (current_profit + 0.08)) and (last_candle["rsi_14"] < 42.0): return True, "sell_profit_t_4_3" elif ( (max_profit > (current_profit + 0.065)) and (last_candle["rsi_14_1h"] < 47.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_t_4_4" elif ( (max_profit > (current_profit + 0.055)) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["cmf"] < -0.0) and (last_candle["close"] < last_candle["ema_200"]) ): return True, "sell_profit_t_4_5" elif ( (max_profit > (current_profit + 0.08)) and (last_candle["rsi_14"] < 46.0) and (last_candle["cmf"] < -0.1) and (last_candle["close"] < last_candle["ema_200"]) ): return True, "sell_profit_t_4_6" elif ( (max_profit > (current_profit + 0.075)) and (last_candle["rsi_14"] < 36.0) and (last_candle["rsi_14_1h"] < 42.0) ): return True, "sell_profit_t_4_7" elif ( (max_profit > (current_profit + 0.08)) and (last_candle["rsi_14"] < 44.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 46.0) and (current_time - timedelta(minutes=1440) > trade.open_date_utc) ): return True, "sell_profit_t_4_8" elif 0.06 > current_profit >= 0.05: if (max_profit > (current_profit + 0.06)) and (last_candle["rsi_14"] < 38.0): return True, "sell_profit_t_5_1" elif ( (max_profit > (current_profit + 0.06)) and (last_candle["sma_200_dec_20"]) and (last_candle["rsi_14"] < 48.0) ): return True, "sell_profit_t_5_2" elif (max_profit > (current_profit + 0.08)) and (last_candle["rsi_14"] < 42.0): return True, "sell_profit_t_5_3" elif ( (max_profit > (current_profit + 0.07)) and (last_candle["rsi_14_1h"] < 45.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_t_5_4" elif ( (max_profit > (current_profit + 0.06)) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["cmf"] < -0.0) and (last_candle["close"] < last_candle["ema_200"]) ): return True, "sell_profit_t_5_5" elif ( (max_profit > (current_profit + 0.08)) and (last_candle["rsi_14"] < 45.0) and (last_candle["cmf"] < -0.1) and (last_candle["close"] < last_candle["ema_200"]) ): return True, "sell_profit_t_5_6" elif ( (max_profit > (current_profit + 0.08)) and (last_candle["rsi_14"] < 35.0) and (last_candle["rsi_14_1h"] < 41.0) ): return True, "sell_profit_t_5_7" elif ( (max_profit > (current_profit + 0.08)) and (last_candle["rsi_14"] < 42.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 44.0) and (current_time - timedelta(minutes=1440) > trade.open_date_utc) ): return True, "sell_profit_t_5_8" elif 0.07 > current_profit >= 0.06: # if (max_profit > (current_profit + 0.095)): # return True, 'sell_profit_t_6_0' if (max_profit > (current_profit + 0.065)) and (last_candle["rsi_14"] < 39.0): return True, "sell_profit_t_6_1" elif ( (max_profit > (current_profit + 0.065)) and (last_candle["sma_200_dec_20"]) and (last_candle["rsi_14"] < 49.0) ): return True, "sell_profit_t_6_2" elif (max_profit > (current_profit + 0.09)) and (last_candle["rsi_14"] < 42.0): return True, "sell_profit_t_6_3" elif ( (max_profit > (current_profit + 0.075)) and (last_candle["rsi_14_1h"] < 43.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_t_6_4" elif ( (max_profit > (current_profit + 0.065)) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["cmf"] < -0.0) and (last_candle["close"] < last_candle["ema_200"]) ): return True, "sell_profit_t_6_5" elif ( (max_profit > (current_profit + 0.09)) and (last_candle["rsi_14"] < 44.0) and (last_candle["cmf"] < -0.1) and (last_candle["close"] < last_candle["ema_200"]) ): return True, "sell_profit_t_6_6" elif ( (max_profit > (current_profit + 0.085)) and (last_candle["rsi_14"] < 34.0) and (last_candle["rsi_14_1h"] < 40.0) ): return True, "sell_profit_t_6_7" elif ( (max_profit > (current_profit + 0.09)) and (last_candle["rsi_14"] < 40.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 42.0) and (current_time - timedelta(minutes=1440) > trade.open_date_utc) ): return True, "sell_profit_t_6_8" elif 0.08 > current_profit >= 0.07: if (max_profit > (current_profit + 0.07)) and (last_candle["rsi_14"] < 40.0): return True, "sell_profit_t_7_1" elif ( (max_profit > (current_profit + 0.07)) and (last_candle["sma_200_dec_20"]) and (last_candle["rsi_14"] < 50.0) ): return True, "sell_profit_t_7_2" elif (max_profit > (current_profit + 0.09)) and (last_candle["rsi_14"] < 41.0): return True, "sell_profit_t_7_3" elif ( (max_profit > (current_profit + 0.08)) and (last_candle["rsi_14_1h"] < 41.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_t_7_4" elif ( (max_profit > (current_profit + 0.07)) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["cmf"] < -0.0) and (last_candle["close"] < last_candle["ema_200"]) ): return True, "sell_profit_t_7_5" elif ( (max_profit > (current_profit + 0.09)) and (last_candle["rsi_14"] < 42.0) and (last_candle["cmf"] < -0.1) and (last_candle["close"] < last_candle["ema_200"]) ): return True, "sell_profit_t_7_6" elif ( (max_profit > (current_profit + 0.09)) and (last_candle["rsi_14"] < 33.0) and (last_candle["rsi_14_1h"] < 39.0) ): return True, "sell_profit_t_7_7" elif ( (max_profit > (current_profit + 0.09)) and (last_candle["rsi_14"] < 38.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 40.0) and (current_time - timedelta(minutes=1440) > trade.open_date_utc) ): return True, "sell_profit_t_7_8" elif 0.09 > current_profit >= 0.08: if (max_profit > (current_profit + 0.075)) and (last_candle["rsi_14"] < 41.0): return True, "sell_profit_t_8_1" elif ( (max_profit > (current_profit + 0.075)) and (last_candle["sma_200_dec_20"]) and (last_candle["rsi_14"] < 51.0) ): return True, "sell_profit_t_8_2" elif (max_profit > (current_profit + 0.1)) and (last_candle["rsi_14"] < 42.0): return True, "sell_profit_t_8_3" elif ( (max_profit > (current_profit + 0.085)) and (last_candle["rsi_14_1h"] < 39.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_t_8_4" elif ( (max_profit > (current_profit + 0.075)) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["cmf"] < -0.0) and (last_candle["close"] < last_candle["ema_200"]) ): return True, "sell_profit_t_8_5" elif ( (max_profit > (current_profit + 0.1)) and (last_candle["rsi_14"] < 40.0) and (last_candle["cmf"] < -0.1) and (last_candle["close"] < last_candle["ema_200"]) ): return True, "sell_profit_t_8_6" elif ( (max_profit > (current_profit + 0.095)) and (last_candle["rsi_14"] < 32.0) and (last_candle["rsi_14_1h"] < 38.0) ): return True, "sell_profit_t_8_7" elif ( (max_profit > (current_profit + 0.1)) and (last_candle["rsi_14"] < 36.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 38.0) and (current_time - timedelta(minutes=1440) > trade.open_date_utc) ): return True, "sell_profit_t_8_8" elif 0.1 > current_profit >= 0.09: if (max_profit > (current_profit + 0.08)) and (last_candle["rsi_14"] < 42.0): return True, "sell_profit_t_9_1" elif ( (max_profit > (current_profit + 0.08)) and (last_candle["sma_200_dec_20"]) and (last_candle["rsi_14"] < 52.0) ): return True, "sell_profit_t_9_2" elif (max_profit > (current_profit + 0.11)) and (last_candle["rsi_14"] < 43.0): return True, "sell_profit_t_9_3" elif ( (max_profit > (current_profit + 0.09)) and (last_candle["rsi_14_1h"] < 37.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_t_9_4" elif ( (max_profit > (current_profit + 0.08)) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["cmf"] < -0.0) and (last_candle["close"] < last_candle["ema_200"]) ): return True, "sell_profit_t_9_5" elif ( (max_profit > (current_profit + 0.1)) and (last_candle["rsi_14"] < 38.0) and (last_candle["cmf"] < -0.1) and (last_candle["close"] < last_candle["ema_200"]) ): return True, "sell_profit_t_9_6" elif ( (max_profit > (current_profit + 0.1)) and (last_candle["rsi_14"] < 31.0) and (last_candle["rsi_14_1h"] < 37.0) ): return True, "sell_profit_t_9_7" elif ( (max_profit > (current_profit + 0.1)) and (last_candle["rsi_14"] < 34.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 36.0) and (current_time - timedelta(minutes=1440) > trade.open_date_utc) ): return True, "sell_profit_t_9_8" elif 0.12 > current_profit >= 0.1: if (max_profit > (current_profit + 0.09)) and (last_candle["rsi_14"] < 40.0): return True, "sell_profit_t_10_1" elif ( (max_profit > (current_profit + 0.09)) and (last_candle["sma_200_dec_20"]) and (last_candle["rsi_14"] < 50.0) ): return True, "sell_profit_t_10_2" elif (max_profit > (current_profit + 0.12)) and (last_candle["rsi_14"] < 41.0): return True, "sell_profit_t_10_3" elif ( (max_profit > (current_profit + 0.095)) and (last_candle["rsi_14_1h"] < 35.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_t_10_4" elif ( (max_profit > (current_profit + 0.09)) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["cmf"] < -0.0) and (last_candle["close"] < last_candle["ema_200"]) ): return True, "sell_profit_t_10_5" elif ( (max_profit > (current_profit + 0.1)) and (last_candle["rsi_14"] < 36.0) and (last_candle["cmf"] < -0.1) and (last_candle["close"] < last_candle["ema_200"]) ): return True, "sell_profit_t_10_6" elif ( (max_profit > (current_profit + 0.11)) and (last_candle["rsi_14"] < 30.0) and (last_candle["rsi_14_1h"] < 36.0) ): return True, "sell_profit_t_10_7" elif ( (max_profit > (current_profit + 0.1)) and (last_candle["rsi_14"] < 33.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 35.0) and (current_time - timedelta(minutes=1440) > trade.open_date_utc) ): return True, "sell_profit_t_10_8" elif 0.2 > current_profit >= 0.12: if (max_profit > (current_profit + 0.095)) and (last_candle["rsi_14"] < 36.0): return True, "sell_profit_t_11_1" elif ( (max_profit > (current_profit + 0.095)) and (last_candle["sma_200_dec_20"]) and (last_candle["rsi_14"] < 46.0) ): return True, "sell_profit_t_11_2" elif (max_profit > (current_profit + 0.14)) and (last_candle["rsi_14"] < 38.0): return True, "sell_profit_t_11_3" elif ( (max_profit > (current_profit + 0.1)) and (last_candle["rsi_14_1h"] < 33.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_t_11_4" elif ( (max_profit > (current_profit + 0.095)) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["cmf"] < -0.0) and (last_candle["close"] < last_candle["ema_200"]) ): return True, "sell_profit_t_11_5" elif ( (max_profit > (current_profit + 0.1)) and (last_candle["rsi_14"] < 34.0) and (last_candle["cmf"] < -0.1) and (last_candle["close"] < last_candle["ema_200"]) ): return True, "sell_profit_t_11_6" elif ( (max_profit > (current_profit + 0.12)) and (last_candle["rsi_14"] < 29.0) and (last_candle["rsi_14_1h"] < 35.0) ): return True, "sell_profit_t_11_7" elif ( (max_profit > (current_profit + 0.1)) and (last_candle["rsi_14"] < 32.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 34.0) and (current_time - timedelta(minutes=1440) > trade.open_date_utc) ): return True, "sell_profit_t_11_8" elif current_profit >= 0.2: if (max_profit > (current_profit + 0.1)) and (last_candle["rsi_14"] < 34.0): return True, "sell_profit_t_12_1" elif ( (max_profit > (current_profit + 0.1)) and (last_candle["sma_200_dec_20"]) and (last_candle["rsi_14"] < 44.0) ): return True, "sell_profit_t_12_2" elif (max_profit > (current_profit + 0.16)) and (last_candle["rsi_14"] < 35.0): return True, "sell_profit_t_12_3" elif ( (max_profit > (current_profit + 0.11)) and (last_candle["rsi_14_1h"] < 31.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_t_12_4" elif ( (max_profit > (current_profit + 0.1)) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["cmf"] < -0.0) and (last_candle["close"] < last_candle["ema_200"]) ): return True, "sell_profit_t_12_5" elif ( (max_profit > (current_profit + 0.1)) and (last_candle["rsi_14"] < 34.0) and (last_candle["cmf"] < -0.1) and (last_candle["close"] < last_candle["ema_200"]) ): return True, "sell_profit_t_12_6" elif ( (max_profit > (current_profit + 0.13)) and (last_candle["rsi_14"] < 28.0) and (last_candle["rsi_14_1h"] < 34.0) ): return True, "sell_profit_t_12_7" elif ( (max_profit > (current_profit + 0.11)) and (last_candle["rsi_14"] < 32.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 34.0) and (current_time - timedelta(minutes=1440) > trade.open_date_utc) ): return True, "sell_profit_t_12_8" return False, None def sell_dec_main(self, current_profit: float, last_candle) -> tuple: if last_candle["close"] > last_candle["ema_200"]: if 0.02 > current_profit >= 0.012: if ( (last_candle["rsi_14"] < 46.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.1) and (last_candle["rsi_14_1h"] < 46.0) and (last_candle["cti"] < -0.75) ): return True, "sell_profit_d_o_1_1" elif ( (last_candle["rsi_14"] < 38.0) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["rsi_14_1h"] < 38.0) ): return True, "sell_profit_d_o_1_2" elif ( (last_candle["rsi_14"] < 47.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 35.0) and (last_candle["sma_200_dec_20_1h"]) ): return True, "sell_profit_d_o_1_3" elif 0.03 > current_profit >= 0.02: if ( (last_candle["rsi_14"] < 48.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.05) and (last_candle["rsi_14_1h"] < 48.0) and (last_candle["cti"] > 0.5) ): return True, "sell_profit_d_o_2_1" elif ( (last_candle["rsi_14"] < 44.0) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["rsi_14_1h"] < 40.0) ): return True, "sell_profit_d_o_2_2" elif ( (last_candle["rsi_14"] < 48.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 36.0) and (last_candle["sma_200_dec_20_1h"]) ): return True, "sell_profit_d_o_2_3" elif 0.04 > current_profit >= 0.03: if ( (last_candle["rsi_14"] < 50.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 50.0) and (last_candle["cti"] > 0.4) ): return True, "sell_profit_d_o_3_1" elif ( (last_candle["rsi_14"] < 48.0) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["rsi_14_1h"] < 42.0) ): return True, "sell_profit_d_u_3_2" elif ( (last_candle["rsi_14"] < 49.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 37.0) and (last_candle["sma_200_dec_20_1h"]) ): return True, "sell_profit_d_o_3_3" elif 0.05 > current_profit >= 0.04: if ( (last_candle["rsi_14"] < 52.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < 0.05) and (last_candle["rsi_14_1h"] < 55.0) and (last_candle["cti"] > 0.3) ): return True, "sell_profit_d_o_4_1" elif ( (last_candle["rsi_14"] < 50.0) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["rsi_14_1h"] < 44.0) ): return True, "sell_profit_d_o_4_2" elif ( (last_candle["rsi_14"] < 50.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 38.0) and (last_candle["sma_200_dec_20_1h"]) ): return True, "sell_profit_d_o_4_3" elif 0.06 > current_profit >= 0.05: if ( (last_candle["rsi_14"] < 50.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 50.0) and (last_candle["cti"] > 0.4) ): return True, "sell_profit_d_o_5_1" elif ( (last_candle["rsi_14"] < 54.0) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["rsi_14_1h"] < 46.0) ): return True, "sell_profit_d_o_5_2" elif ( (last_candle["rsi_14"] < 51.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 39.0) and (last_candle["sma_200_dec_20_1h"]) ): return True, "sell_profit_d_o_5_3" elif 0.07 > current_profit >= 0.06: if ( (last_candle["rsi_14"] < 48.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.05) and (last_candle["rsi_14_1h"] < 48.0) and (last_candle["cti"] > 0.5) ): return True, "sell_profit_d_o_6_1" elif ( (last_candle["rsi_14"] < 56.0) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["rsi_14_1h"] < 44.0) ): return True, "sell_profit_d_o_6_2" elif ( (last_candle["rsi_14"] < 50.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 38.0) and (last_candle["sma_200_dec_20_1h"]) ): return True, "sell_profit_d_o_6_3" elif 0.08 > current_profit >= 0.07: if ( (last_candle["rsi_14"] < 46.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.1) and (last_candle["rsi_14_1h"] < 46.0) and (last_candle["cti"] > 0.5) ): return True, "sell_profit_d_o_7_1" elif ( (last_candle["rsi_14"] < 52.0) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["rsi_14_1h"] < 42.0) ): return True, "sell_profit_d_o_7_2" elif ( (last_candle["rsi_14"] < 49.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 37.0) and (last_candle["sma_200_dec_20_1h"]) ): return True, "sell_profit_d_o_7_3" elif 0.09 > current_profit >= 0.08: if ( (last_candle["rsi_14"] < 44.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.1) and (last_candle["rsi_14_1h"] < 44.0) and (last_candle["cti_1h"] > 0.5) ): return True, "sell_profit_d_o_8_1" elif ( (last_candle["rsi_14"] < 50.0) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["rsi_14_1h"] < 40.0) ): return True, "sell_profit_d_o_8_2" elif ( (last_candle["rsi_14"] < 48.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 36.0) and (last_candle["sma_200_dec_20_1h"]) ): return True, "sell_profit_d_o_8_3" elif 0.1 > current_profit >= 0.09: if ( (last_candle["rsi_14"] < 40.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.1) and (last_candle["rsi_14_1h"] < 42.0) and (last_candle["cti"] > 0.5) ): return True, "sell_profit_d_o_9_1" elif ( (last_candle["rsi_14"] < 48.0) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["rsi_14_1h"] < 38.0) ): return True, "sell_profit_d_o_9_2" elif ( (last_candle["rsi_14"] < 47.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 35.0) and (last_candle["sma_200_dec_20_1h"]) ): return True, "sell_profit_d_o_9_3" elif 0.12 > current_profit >= 0.1: if ( (last_candle["rsi_14"] < 38.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.1) and (last_candle["rsi_14_1h"] < 38.0) and (last_candle["cti"] > 0.5) ): return True, "sell_profit_d_o_10_1" elif ( (last_candle["rsi_14"] < 44.0) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["rsi_14_1h"] < 36.0) ): return True, "sell_profit_d_o_10_2" elif ( (last_candle["rsi_14"] < 43.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 34.0) and (last_candle["sma_200_dec_20_1h"]) ): return True, "sell_profit_d_o_10_3" elif 0.2 > current_profit >= 0.12: if ( (last_candle["rsi_14"] < 36.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.2) and (last_candle["rsi_14_1h"] < 35.0) and (last_candle["cti"] > 0.5) ): return True, "sell_profit_d_o_11_1" elif ( (last_candle["rsi_14"] < 40.0) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["rsi_14_1h"] < 34.0) ): return True, "sell_profit_d_o_11_2" elif ( (last_candle["rsi_14"] < 39.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 33.0) and (last_candle["sma_200_dec_20_1h"]) ): return True, "sell_profit_d_o_11_3" elif current_profit >= 0.2: if ( (last_candle["rsi_14"] < 34.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.2) and (last_candle["rsi_14_1h"] < 34.0) and (last_candle["cti"] > 0.5) ): return True, "sell_profit_d_o_12_1" elif ( (last_candle["rsi_14"] < 38.0) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["rsi_14_1h"] < 32.0) ): return True, "sell_profit_d_o_12_2" elif ( (last_candle["rsi_14"] < 35.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 32.0) and (last_candle["sma_200_dec_20_1h"]) ): return True, "sell_profit_d_o_12_3" else: if 0.02 > current_profit >= 0.012: if ( (last_candle["rsi_14"] < 55.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.05) and (last_candle["rsi_14_1h"] < 36.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_d_u_1_1" elif ( (last_candle["rsi_14"] < 42.0) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["rsi_14_1h"] < 42.0) ): return True, "sell_profit_d_u_1_2" elif ( (last_candle["rsi_14"] < 49.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 35.0) and (last_candle["sma_200_dec_20_1h"]) ): return True, "sell_profit_d_u_1_3" elif 0.03 > current_profit >= 0.02: if ( (last_candle["rsi_14"] < 57.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.05) and (last_candle["rsi_14_1h"] < 39.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_d_u_2_1" elif ( (last_candle["rsi_14"] < 46.0) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["rsi_14_1h"] < 44.0) ): return True, "sell_profit_d_u_2_2" elif ( (last_candle["rsi_14"] < 50.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 36.0) and (last_candle["sma_200_dec_20_1h"]) ): return True, "sell_profit_d_u_2_3" elif 0.04 > current_profit >= 0.03: if ( (last_candle["rsi_14"] < 57.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.05) and (last_candle["rsi_14_1h"] < 39.5) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_d_u_3_1" elif ( (last_candle["rsi_14"] < 52.0) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["rsi_14_1h"] < 46.0) ): return True, "sell_profit_d_u_3_2" elif ( (last_candle["rsi_14"] < 51.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 37.0) and (last_candle["sma_200_dec_20_1h"]) ): return True, "sell_profit_d_u_3_3" elif 0.05 > current_profit >= 0.04: if ( (last_candle["rsi_14"] < 58.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.05) and (last_candle["rsi_14_1h"] < 40.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_d_u_4_1" elif ( (last_candle["rsi_14"] < 56.0) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["rsi_14_1h"] < 46.0) ): return True, "sell_profit_d_u_4_2" elif ( (last_candle["rsi_14"] < 52.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 38.0) and (last_candle["sma_200_dec_20_1h"]) ): return True, "sell_profit_d_u_4_3" elif 0.06 > current_profit >= 0.05: if ( (last_candle["rsi_14"] < 57.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.05) and (last_candle["rsi_14_1h"] < 39.5) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_d_u_5_1" elif ( (last_candle["rsi_14"] < 66.0) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["rsi_14_1h"] < 50.0) ): return True, "sell_profit_d_u_5_2" elif ( (last_candle["rsi_14"] < 53.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 39.0) and (last_candle["sma_200_dec_20_1h"]) ): return True, "sell_profit_d_u_5_3" elif 0.07 > current_profit >= 0.06: if ( (last_candle["rsi_14"] < 56.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.05) and (last_candle["rsi_14_1h"] < 39.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_d_u_6_1" elif ( (last_candle["rsi_14"] < 62.0) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["rsi_14_1h"] < 48.0) ): return True, "sell_profit_d_u_6_2" elif ( (last_candle["rsi_14"] < 52.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 38.0) and (last_candle["sma_200_dec_20_1h"]) ): return True, "sell_profit_d_u_6_3" elif 0.08 > current_profit >= 0.07: if ( (last_candle["rsi_14"] < 55.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.05) and (last_candle["rsi_14_1h"] < 38.5) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_d_u_7_1" elif ( (last_candle["rsi_14"] < 58.0) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["rsi_14_1h"] < 46.0) ): return True, "sell_profit_d_u_7_2" elif ( (last_candle["rsi_14"] < 51.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 37.0) and (last_candle["sma_200_dec_20_1h"]) ): return True, "sell_profit_d_u_7_3" elif 0.09 > current_profit >= 0.08: if ( (last_candle["rsi_14"] < 54.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.05) and (last_candle["rsi_14_1h"] < 38.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_d_u_8_1" elif ( (last_candle["rsi_14"] < 56.0) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["rsi_14_1h"] < 44.0) ): return True, "sell_profit_d_u_8_2" elif ( (last_candle["rsi_14"] < 50.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 36.0) and (last_candle["sma_200_dec_20_1h"]) ): return True, "sell_profit_d_u_8_3" elif 0.1 > current_profit >= 0.09: if ( (last_candle["rsi_14"] < 53.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.05) and (last_candle["rsi_14_1h"] < 37.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_d_u_9_1" elif ( (last_candle["rsi_14"] < 54.0) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["rsi_14_1h"] < 42.0) ): return True, "sell_profit_d_u_9_2" elif ( (last_candle["rsi_14"] < 49.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 35.0) and (last_candle["sma_200_dec_20_1h"]) ): return True, "sell_profit_d_u_9_3" elif 0.12 > current_profit >= 0.1: if ( (last_candle["rsi_14"] < 52.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.05) and (last_candle["rsi_14_1h"] < 36.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_d_u_10_1" elif ( (last_candle["rsi_14"] < 50.0) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["rsi_14_1h"] < 40.0) ): return True, "sell_profit_d_u_10_2" elif ( (last_candle["rsi_14"] < 45.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 34.0) and (last_candle["sma_200_dec_20_1h"]) ): return True, "sell_profit_d_u_10_3" elif 0.2 > current_profit >= 0.12: if ( (last_candle["rsi_14"] < 50.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.05) and (last_candle["rsi_14_1h"] < 35.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_d_u_11_1" elif ( (last_candle["rsi_14"] < 46.0) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["rsi_14_1h"] < 38.0) ): return True, "sell_profit_d_u_11_2" elif ( (last_candle["rsi_14"] < 41.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 33.0) and (last_candle["sma_200_dec_20_1h"]) ): return True, "sell_profit_d_u_11_3" elif current_profit >= 0.2: if ( (last_candle["rsi_14"] < 48.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.05) and (last_candle["rsi_14_1h"] < 34.0) and (last_candle["cti_1h"] < -0.85) ): return True, "sell_profit_d_u_12_1" elif ( (last_candle["rsi_14"] < 42.0) and (last_candle["sma_200_dec_20"]) and (last_candle["sma_200_dec_20_1h"]) and (last_candle["rsi_14_1h"] < 36.0) ): return True, "sell_profit_d_u_12_2" elif ( (last_candle["rsi_14"] < 37.0) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14_1h"] < 32.0) and (last_candle["sma_200_dec_20_1h"]) ): return True, "sell_profit_d_u_12_3" return False, None def sell_pump_main(self, current_profit: float, last_candle) -> tuple: if last_candle["hl_pct_change_48_1h"] > 0.9: if last_candle["moderi_96"]: if current_profit >= 0.2: if last_candle["rsi_14"] < 31.0: return True, "sell_profit_p_bull_48_1_12_1" elif 0.2 > current_profit >= 0.12: if last_candle["rsi_14"] < 33.0: return True, "sell_profit_p_bull_48_1_11_1" elif 0.12 > current_profit >= 0.1: if last_candle["rsi_14"] < 41.0: return True, "sell_profit_p_bull_48_1_10_1" elif 0.1 > current_profit >= 0.09: if last_candle["rsi_14"] < 51.0: return True, "sell_profit_p_bull_48_1_9_1" elif 0.09 > current_profit >= 0.08: if last_candle["rsi_14"] < 50.0: return True, "sell_profit_p_bull_48_1_8_1" elif 0.08 > current_profit >= 0.07: if last_candle["rsi_14"] < 49.0: return True, "sell_profit_p_bull_48_1_7_1" elif 0.07 > current_profit >= 0.06: if last_candle["rsi_14"] < 47.0: return True, "sell_profit_p_bull_48_1_6_1" elif (last_candle["rsi_14"] < 58.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bull_48_1_6_3" elif (last_candle["rsi_14"] < 56.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bull_48_1_6_4" elif (last_candle["rsi_14"] > 77.0) and (last_candle["r_14"] >= -0.1): return True, "sell_profit_p_bull_48_1_6_5" elif 0.06 > current_profit >= 0.05: if last_candle["rsi_14"] < 45.0: return True, "sell_profit_p_bull_48_1_5_1" elif (last_candle["rsi_14"] < 56.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bull_48_1_5_3" elif (last_candle["rsi_14"] < 54.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bull_48_1_5_4" elif (last_candle["rsi_14"] > 75.0) and (last_candle["r_14"] >= -0.1): return True, "sell_profit_p_bull_48_1_5_5" elif 0.05 > current_profit >= 0.04: if last_candle["rsi_14"] < 43.0: return True, "sell_profit_p_bull_48_1_4_1" elif (last_candle["rsi_14"] < 54.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bull_48_1_4_3" elif (last_candle["rsi_14"] < 53.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bull_48_1_4_4" elif (last_candle["rsi_14"] > 73.0) and (last_candle["r_14"] >= -0.1): return True, "sell_profit_p_bull_48_1_4_5" elif 0.04 > current_profit >= 0.03: if last_candle["rsi_14"] < 39.0: return True, "sell_profit_p_bull_48_1_3_1" elif (last_candle["rsi_14"] < 46.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bull_48_1_3_3" elif (last_candle["rsi_14"] < 50.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bull_48_1_3_4" elif (last_candle["rsi_14"] > 75.0) and (last_candle["r_14"] >= -0.1): return True, "sell_profit_p_bull_48_1_3_5" elif 0.03 > current_profit >= 0.02: if last_candle["rsi_14"] < 35.0: return True, "sell_profit_p_bull_48_1_2_1" elif (last_candle["rsi_14"] < 44.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bull_48_1_2_3" elif (last_candle["rsi_14"] < 48.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bull_48_1_2_4" elif (last_candle["rsi_14"] > 77.0) and (last_candle["r_14"] >= -0.1): return True, "sell_profit_p_bull_48_1_2_5" elif (last_candle["rsi_14"] > 64.0) and (last_candle["cmf"] < -0.0) and (last_candle["cmf_1h"] < -0.0): return True, "sell_profit_p_bull_48_1_2_6" elif 0.02 > current_profit >= 0.01: if last_candle["rsi_14"] < 33.0: return True, "sell_profit_p_bull_48_1_1_1" elif (last_candle["rsi_14"] < 38.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bull_48_1_1_3" elif (last_candle["rsi_14"] < 46.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bull_48_1_1_4" elif (last_candle["rsi_14"] > 79.0) and (last_candle["r_14"] >= -0.1): return True, "sell_profit_p_bull_48_1_1_5" elif (last_candle["rsi_14"] > 69.0) and (last_candle["cmf"] < -0.0) and (last_candle["cmf_1h"] < -0.0): return True, "sell_profit_p_bull_48_1_1_6" else: if current_profit >= 0.2: if last_candle["rsi_14"] < 32.0: return True, "sell_profit_p_bear_48_1_12_1" elif 0.2 > current_profit >= 0.12: if last_candle["rsi_14"] < 34.0: return True, "sell_profit_p_bear_48_1_11_1" elif 0.12 > current_profit >= 0.1: if last_candle["rsi_14"] < 42.0: return True, "sell_profit_p_bear_48_1_10_1" elif 0.1 > current_profit >= 0.09: if last_candle["rsi_14"] < 52.0: return True, "sell_profit_p_bear_48_1_9_1" elif 0.09 > current_profit >= 0.08: if last_candle["rsi_14"] < 51.0: return True, "sell_profit_p_bear_48_1_8_1" elif 0.08 > current_profit >= 0.07: if last_candle["rsi_14"] < 50.0: return True, "sell_profit_p_bear_48_1_7_1" elif 0.07 > current_profit >= 0.06: if last_candle["rsi_14"] < 48.0: return True, "sell_profit_p_bear_48_1_6_1" elif (last_candle["rsi_14"] < 58.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bear_48_1_6_3" elif (last_candle["rsi_14"] < 58.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bear_48_1_6_4" elif (last_candle["rsi_14"] > 76.0) and (last_candle["r_14"] >= -0.1): return True, "sell_profit_p_bear_48_1_6_5" elif 0.06 > current_profit >= 0.05: if last_candle["rsi_14"] < 46.0: return True, "sell_profit_p_bear_48_1_5_1" elif (last_candle["rsi_14"] < 56.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bear_48_1_5_3" elif (last_candle["rsi_14"] < 56.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bear_48_1_5_4" elif (last_candle["rsi_14"] > 75.0) and (last_candle["r_14"] >= -0.1): return True, "sell_profit_p_bear_48_1_5_5" elif 0.05 > current_profit >= 0.04: if last_candle["rsi_14"] < 44.0: return True, "sell_profit_p_bear_48_1_4_1" elif (last_candle["rsi_14"] < 54.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bear_48_1_4_3" elif (last_candle["rsi_14"] < 54.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bear_48_1_4_4" elif (last_candle["rsi_14"] > 72.0) and (last_candle["r_14"] >= -0.1): return True, "sell_profit_p_bear_48_1_4_5" elif 0.04 > current_profit >= 0.03: if last_candle["rsi_14"] < 40.0: return True, "sell_profit_p_bear_48_1_3_1" elif (last_candle["rsi_14"] < 44.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bear_48_1_3_3" elif (last_candle["rsi_14"] < 52.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bear_48_1_3_4" elif (last_candle["rsi_14"] > 74.0) and (last_candle["r_14"] >= -0.1): return True, "sell_profit_p_bear_48_1_3_5" elif 0.03 > current_profit >= 0.02: if last_candle["rsi_14"] < 36.0: return True, "sell_profit_p_bear_48_1_2_1" elif (last_candle["rsi_14"] < 42.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bear_48_1_2_3" elif (last_candle["rsi_14"] < 50.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bear_48_1_2_4" elif (last_candle["rsi_14"] > 76.0) and (last_candle["r_14"] >= -0.1): return True, "sell_profit_p_bear_48_1_2_5" elif (last_candle["rsi_14"] > 63.0) and (last_candle["cmf"] < -0.0) and (last_candle["cmf_1h"] < -0.0): return True, "sell_profit_p_bear_48_1_2_6" elif 0.02 > current_profit >= 0.01: if last_candle["rsi_14"] < 34.0: return True, "sell_profit_p_bear_48_1_1_1" elif (last_candle["rsi_14"] < 40.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bear_48_1_1_3" elif (last_candle["rsi_14"] < 48.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bear_48_1_1_4" elif (last_candle["rsi_14"] > 78.0) and (last_candle["r_14"] >= -0.1): return True, "sell_profit_p_bear_48_1_1_5" elif (last_candle["rsi_14"] > 68.0) and (last_candle["cmf"] < -0.0) and (last_candle["cmf_1h"] < -0.0): return True, "sell_profit_p_bear_48_1_1_6" if last_candle["hl_pct_change_48_1h"] > 0.8: if last_candle["moderi_96"]: if current_profit >= 0.2: if (last_candle["rsi_14"] < 32.0) and (last_candle["cmf"] < -0.35): return True, "sell_profit_p_bull_48_2_12_1" elif 0.2 > current_profit >= 0.12: if (last_candle["rsi_14"] < 33.0) and (last_candle["cmf"] < -0.35): return True, "sell_profit_p_bull_48_2_11_1" elif 0.12 > current_profit >= 0.1: if (last_candle["rsi_14"] < 35.0) and (last_candle["cmf"] < -0.35): return True, "sell_profit_p_bull_48_2_10_1" elif 0.1 > current_profit >= 0.09: if (last_candle["rsi_14"] < 39.0) and (last_candle["cmf"] < -0.3): return True, "sell_profit_p_bull_48_2_9_1" elif 0.09 > current_profit >= 0.08: if (last_candle["rsi_14"] < 43.0) and (last_candle["cmf"] < -0.25): return True, "sell_profit_p_bull_48_2_8_1" elif 0.08 > current_profit >= 0.07: if (last_candle["rsi_14"] < 47.0) and (last_candle["cmf"] < -0.25): return True, "sell_profit_p_bull_48_2_7_1" elif 0.07 > current_profit >= 0.06: if (last_candle["rsi_14"] < 51.0) and (last_candle["cmf"] < -0.25): return True, "sell_profit_p_bull_48_2_6_1" elif 0.06 > current_profit >= 0.05: if (last_candle["rsi_14"] < 55.0) and (last_candle["cmf"] < -0.2): return True, "sell_profit_p_bull_48_2_5_1" elif 0.05 > current_profit >= 0.04: if (last_candle["rsi_14"] < 51.0) and (last_candle["cmf"] < -0.2): return True, "sell_profit_p_bull_48_2_4_1" elif 0.04 > current_profit >= 0.03: if (last_candle["rsi_14"] < 47.0) and (last_candle["cmf"] < -0.25): return True, "sell_profit_p_bull_48_2_3_1" elif 0.03 > current_profit >= 0.02: if (last_candle["rsi_14"] < 43.0) and (last_candle["cmf"] < -0.25): return True, "sell_profit_p_bull_48_2_2_1" elif 0.02 > current_profit >= 0.01: if (last_candle["rsi_14"] < 39.0) and (last_candle["cmf"] < -0.25): return True, "sell_profit_p_bull_48_2_1_1" else: if current_profit >= 0.2: if (last_candle["rsi_14"] < 33.0) and (last_candle["cmf"] < -0.35): return True, "sell_profit_p_bear_48_2_12_1" elif 0.2 > current_profit >= 0.12: if (last_candle["rsi_14"] < 34.0) and (last_candle["cmf"] < -0.35): return True, "sell_profit_p_bear_48_2_11_1" elif 0.12 > current_profit >= 0.1: if (last_candle["rsi_14"] < 36.0) and (last_candle["cmf"] < -0.35): return True, "sell_profit_p_bear_48_2_10_1" elif 0.1 > current_profit >= 0.09: if (last_candle["rsi_14"] < 40.0) and (last_candle["cmf"] < -0.2): return True, "sell_profit_p_bear_48_2_9_1" elif 0.09 > current_profit >= 0.08: if (last_candle["rsi_14"] < 44.0) and (last_candle["cmf"] < -0.2): return True, "sell_profit_p_bear_48_2_8_1" elif 0.08 > current_profit >= 0.07: if (last_candle["rsi_14"] < 48.0) and (last_candle["cmf"] < -0.1): return True, "sell_profit_p_bear_48_2_7_1" elif 0.07 > current_profit >= 0.06: if (last_candle["rsi_14"] < 50.0) and (last_candle["cmf"] < -0.1): return True, "sell_profit_p_bear_48_2_6_1" elif 0.06 > current_profit >= 0.05: if (last_candle["rsi_14"] < 48.0) and (last_candle["cmf"] < -0.1): return True, "sell_profit_p_bear_48_2_5_1" elif 0.05 > current_profit >= 0.04: if (last_candle["rsi_14"] < 46.0) and (last_candle["cmf"] < -0.1): return True, "sell_profit_p_bear_48_2_4_1" elif 0.04 > current_profit >= 0.03: if (last_candle["rsi_14"] < 44.0) and (last_candle["cmf"] < -0.1): return True, "sell_profit_p_bear_48_2_3_1" elif 0.03 > current_profit >= 0.02: if (last_candle["rsi_14"] < 42.0) and (last_candle["cmf"] < -0.1): return True, "sell_profit_p_bear_48_2_2_1" elif 0.02 > current_profit >= 0.01: if (last_candle["rsi_14"] < 40.0) and (last_candle["cmf"] < -0.15): return True, "sell_profit_p_bear_48_2_1_1" if last_candle["hl_pct_change_48_1h"] > 0.5: if last_candle["moderi_96"]: if current_profit >= 0.2: if (last_candle["rsi_14"] < 32.0) and (last_candle["cmf"] < -0.35): return True, "sell_profit_p_bull_48_3_12_1" elif (last_candle["rsi_14"] > 80.0) and (last_candle["r_14"] > -0.1) and (last_candle["cmf_1h"] < -0.2): return True, "sell_profit_p_bull_48_3_12_2" elif 0.2 > current_profit >= 0.12: if (last_candle["rsi_14"] < 33.0) and (last_candle["cmf"] < -0.35): return True, "sell_profit_p_bull_48_3_11_1" elif (last_candle["rsi_14"] > 79.0) and (last_candle["r_14"] > -0.1) and (last_candle["cmf_1h"] < -0.2): return True, "sell_profit_p_bull_48_3_11_2" elif 0.12 > current_profit >= 0.1: if (last_candle["rsi_14"] < 35.0) and (last_candle["cmf"] < -0.35): return True, "sell_profit_p_bull_48_3_10_1" elif (last_candle["rsi_14"] > 78.0) and (last_candle["r_14"] > -0.1) and (last_candle["cmf_1h"] < -0.2): return True, "sell_profit_p_bull_48_3_10_2" elif 0.1 > current_profit >= 0.09: if (last_candle["rsi_14"] < 39.0) and (last_candle["cmf"] < -0.3): return True, "sell_profit_p_bull_48_3_9_1" elif (last_candle["rsi_14"] > 77.0) and (last_candle["r_14"] > -0.1) and (last_candle["cmf_1h"] < -0.2): return True, "sell_profit_p_bull_48_3_9_2" elif 0.09 > current_profit >= 0.08: if (last_candle["rsi_14"] < 43.0) and (last_candle["cmf"] < -0.25): return True, "sell_profit_p_bull_48_3_8_1" elif (last_candle["rsi_14"] > 76.0) and (last_candle["r_14"] > -0.1) and (last_candle["cmf_1h"] < -0.2): return True, "sell_profit_p_bull_48_3_8_2" elif 0.08 > current_profit >= 0.07: if (last_candle["rsi_14"] < 47.0) and (last_candle["cmf"] < -0.25): return True, "sell_profit_p_bull_48_3_7_1" elif (last_candle["rsi_14"] > 74.0) and (last_candle["r_14"] > -1.0) and (last_candle["cmf_1h"] < -0.2): return True, "sell_profit_p_bull_48_3_7_2" elif 0.07 > current_profit >= 0.06: if (last_candle["rsi_14"] < 51.0) and (last_candle["cmf"] < -0.25): return True, "sell_profit_p_bull_48_3_6_1" elif (last_candle["rsi_14"] > 72.0) and (last_candle["r_14"] > -2.0) and (last_candle["cmf_1h"] < -0.2): return True, "sell_profit_p_bull_48_3_6_2" elif 0.06 > current_profit >= 0.05: if (last_candle["rsi_14"] < 55.0) and (last_candle["cmf"] < -0.2): return True, "sell_profit_p_bull_48_3_5_1" elif (last_candle["rsi_14"] > 70.0) and (last_candle["r_14"] > -5.0) and (last_candle["cmf_1h"] < -0.2): return True, "sell_profit_p_bull_48_3_5_2" elif 0.05 > current_profit >= 0.04: if (last_candle["rsi_14"] < 51.0) and (last_candle["cmf"] < -0.2): return True, "sell_profit_p_bull_48_3_4_1" elif (last_candle["rsi_14"] > 67.0) and (last_candle["r_14"] > -10.0) and (last_candle["cmf_1h"] < -0.15): return True, "sell_profit_p_bull_48_3_4_2" elif 0.04 > current_profit >= 0.03: if (last_candle["rsi_14"] < 47.0) and (last_candle["cmf"] < -0.25): return True, "sell_profit_p_bull_48_3_3_1" elif (last_candle["rsi_14"] > 68.0) and (last_candle["r_14"] > -10.0) and (last_candle["cmf_1h"] < -0.15): return True, "sell_profit_p_bull_48_3_3_2" elif 0.03 > current_profit >= 0.02: if (last_candle["rsi_14"] < 43.0) and (last_candle["cmf"] < -0.25): return True, "sell_profit_p_bull_48_3_2_1" elif (last_candle["rsi_14"] > 72.0) and (last_candle["r_14"] > -5.0) and (last_candle["cmf_1h"] < -0.2): return True, "sell_profit_p_bull_48_3_2_2" elif 0.02 > current_profit >= 0.01: if (last_candle["rsi_14"] < 39.0) and (last_candle["cmf"] < -0.25): return True, "sell_profit_p_bull_48_3_2_1" elif (last_candle["rsi_14"] > 76.0) and (last_candle["r_14"] > -1.0) and (last_candle["cmf_1h"] < -0.25): return True, "sell_profit_p_bull_48_3_1_2" else: if current_profit >= 0.2: if (last_candle["rsi_14"] < 33.0) and (last_candle["cmf"] < -0.35): return True, "sell_profit_p_bear_48_3_12_1" elif (last_candle["rsi_14"] > 79.0) and (last_candle["r_14"] > -0.1) and (last_candle["cmf_1h"] < -0.2): return True, "sell_profit_p_bear_48_3_12_2" elif 0.2 > current_profit >= 0.12: if (last_candle["rsi_14"] < 34.0) and (last_candle["cmf"] < -0.35): return True, "sell_profit_p_bear_48_3_11_1" elif (last_candle["rsi_14"] > 78.0) and (last_candle["r_14"] > -0.1) and (last_candle["cmf_1h"] < -0.2): return True, "sell_profit_p_bear_48_3_11_2" elif 0.12 > current_profit >= 0.1: if (last_candle["rsi_14"] < 36.0) and (last_candle["cmf"] < -0.35): return True, "sell_profit_p_bear_48_3_10_1" elif (last_candle["rsi_14"] > 77.0) and (last_candle["r_14"] > -0.1) and (last_candle["cmf_1h"] < -0.2): return True, "sell_profit_p_bear_48_3_10_2" elif 0.1 > current_profit >= 0.09: if (last_candle["rsi_14"] < 40.0) and (last_candle["cmf"] < -0.3): return True, "sell_profit_p_bear_48_3_9_1" elif (last_candle["rsi_14"] > 76.0) and (last_candle["r_14"] > -0.1) and (last_candle["cmf_1h"] < -0.2): return True, "sell_profit_p_bear_48_3_9_2" elif 0.09 > current_profit >= 0.08: if (last_candle["rsi_14"] < 44.0) and (last_candle["cmf"] < -0.25): return True, "sell_profit_p_bear_48_3_8_1" elif (last_candle["rsi_14"] > 75.0) and (last_candle["r_14"] > -0.1) and (last_candle["cmf_1h"] < -0.2): return True, "sell_profit_p_bear_48_3_8_2" elif 0.08 > current_profit >= 0.07: if (last_candle["rsi_14"] < 48.0) and (last_candle["cmf"] < -0.25): return True, "sell_profit_p_bear_48_3_7_1" elif (last_candle["rsi_14"] > 73.0) and (last_candle["r_14"] > -1.0) and (last_candle["cmf_1h"] < -0.2): return True, "sell_profit_p_bear_48_3_7_2" elif 0.07 > current_profit >= 0.06: if (last_candle["rsi_14"] < 52.0) and (last_candle["cmf"] < -0.25): return True, "sell_profit_p_bear_48_3_6_1" elif (last_candle["rsi_14"] > 71.0) and (last_candle["r_14"] > -2.0) and (last_candle["cmf_1h"] < -0.2): return True, "sell_profit_p_bear_48_3_6_2" elif 0.06 > current_profit >= 0.05: if (last_candle["rsi_14"] < 56.0) and (last_candle["cmf"] < -0.2): return True, "sell_profit_p_bear_48_3_5_1" elif (last_candle["rsi_14"] > 69.0) and (last_candle["r_14"] > -5.0) and (last_candle["cmf_1h"] < -0.2): return True, "sell_profit_p_bear_48_3_5_2" elif 0.05 > current_profit >= 0.04: if (last_candle["rsi_14"] < 52.0) and (last_candle["cmf"] < -0.2): return True, "sell_profit_p_bear_48_3_4_1" elif (last_candle["rsi_14"] > 66.0) and (last_candle["r_14"] > -10.0) and (last_candle["cmf_1h"] < -0.15): return True, "sell_profit_p_bear_48_3_4_2" elif 0.04 > current_profit >= 0.03: if (last_candle["rsi_14"] < 48.0) and (last_candle["cmf"] < -0.25): return True, "sell_profit_p_bear_48_3_3_1" elif (last_candle["rsi_14"] > 67.0) and (last_candle["r_14"] > -10.0) and (last_candle["cmf_1h"] < -0.15): return True, "sell_profit_p_bear_48_3_3_2" elif 0.03 > current_profit >= 0.02: if (last_candle["rsi_14"] < 44.0) and (last_candle["cmf"] < -0.25): return True, "sell_profit_p_bear_48_3_2_1" elif (last_candle["rsi_14"] > 71.0) and (last_candle["r_14"] > -5.0) and (last_candle["cmf_1h"] < -0.2): return True, "sell_profit_p_bear_48_3_2_2" elif 0.02 > current_profit >= 0.01: if (last_candle["rsi_14"] < 40.0) and (last_candle["cmf"] < -0.25): return True, "sell_profit_p_bear_48_3_1_1" elif (last_candle["rsi_14"] > 75.0) and (last_candle["r_14"] > -1.0) and (last_candle["cmf_1h"] < -0.25): return True, "sell_profit_p_bear_48_3_1_2" if last_candle["hl_pct_change_36_1h"] > 0.72: if last_candle["moderi_96"]: if current_profit >= 0.2: if last_candle["rsi_14"] < 31.0: return True, "sell_profit_p_bull_36_1_12_1" elif 0.2 > current_profit >= 0.12: if last_candle["rsi_14"] < 33.0: return True, "sell_profit_p_bull_36_1_11_1" elif 0.12 > current_profit >= 0.1: if last_candle["rsi_14"] < 41.0: return True, "sell_profit_p_bull_36_1_10_1" elif 0.1 > current_profit >= 0.09: if last_candle["rsi_14"] < 51.0: return True, "sell_profit_p_bull_36_1_9_1" elif 0.09 > current_profit >= 0.08: if last_candle["rsi_14"] < 50.0: return True, "sell_profit_p_bull_36_1_8_1" elif 0.08 > current_profit >= 0.07: if last_candle["rsi_14"] < 49.0: return True, "sell_profit_p_bull_36_1_7_1" elif 0.07 > current_profit >= 0.06: if last_candle["rsi_14"] < 47.0: return True, "sell_profit_p_bull_36_1_6_1" elif (last_candle["rsi_14"] < 58.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bull_36_1_6_3" elif (last_candle["rsi_14"] < 56.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bull_36_1_6_4" elif 0.06 > current_profit >= 0.05: if last_candle["rsi_14"] < 45.0: return True, "sell_profit_p_bull_36_1_5_1" elif (last_candle["rsi_14"] < 56.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bull_36_1_5_3" elif (last_candle["rsi_14"] < 54.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bull_36_1_5_4" elif 0.05 > current_profit >= 0.04: if last_candle["rsi_14"] < 43.0: return True, "sell_profit_p_bull_36_1_4_1" elif (last_candle["rsi_14"] < 54.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bull_36_1_4_3" elif (last_candle["rsi_14"] < 53.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bull_36_1_4_4" elif 0.04 > current_profit >= 0.03: if last_candle["rsi_14"] < 39.0: return True, "sell_profit_p_bull_36_1_3_1" elif (last_candle["rsi_14"] < 46.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bull_36_1_3_3" elif (last_candle["rsi_14"] < 50.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bull_36_1_3_4" elif 0.03 > current_profit >= 0.02: if last_candle["rsi_14"] < 35.0: return True, "sell_profit_p_bull_36_1_2_1" elif (last_candle["rsi_14"] < 44.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bull_36_1_2_3" elif (last_candle["rsi_14"] < 48.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bull_36_1_2_4" elif 0.02 > current_profit >= 0.01: if last_candle["rsi_14"] < 33.0: return True, "sell_profit_p_bull_36_1_1_1" elif (last_candle["rsi_14"] < 38.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bull_36_1_1_3" elif (last_candle["rsi_14"] < 46.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bull_36_1_1_4" else: if current_profit >= 0.2: if last_candle["rsi_14"] < 32.0: return True, "sell_profit_p_bear_36_1_12_1" elif 0.2 > current_profit >= 0.12: if last_candle["rsi_14"] < 34.0: return True, "sell_profit_p_bear_36_1_11_1" elif 0.12 > current_profit >= 0.1: if last_candle["rsi_14"] < 42.0: return True, "sell_profit_p_bear_36_1_10_1" elif 0.1 > current_profit >= 0.09: if last_candle["rsi_14"] < 52.0: return True, "sell_profit_p_bear_36_1_9_1" elif 0.09 > current_profit >= 0.08: if last_candle["rsi_14"] < 51.0: return True, "sell_profit_p_bear_36_1_8_1" elif 0.08 > current_profit >= 0.07: if last_candle["rsi_14"] < 50.0: return True, "sell_profit_p_bear_36_1_7_1" elif 0.07 > current_profit >= 0.06: if last_candle["rsi_14"] < 48.0: return True, "sell_profit_p_bear_36_1_6_1" elif (last_candle["rsi_14"] < 58.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bear_36_1_6_3" elif (last_candle["rsi_14"] < 58.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bear_36_1_6_4" elif 0.06 > current_profit >= 0.05: if last_candle["rsi_14"] < 46.0: return True, "sell_profit_p_bear_36_1_5_1" elif (last_candle["rsi_14"] < 56.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bear_36_1_5_3" elif (last_candle["rsi_14"] < 56.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bear_36_1_5_4" elif 0.05 > current_profit >= 0.04: if last_candle["rsi_14"] < 44.0: return True, "sell_profit_p_bear_36_1_4_1" elif (last_candle["rsi_14"] < 54.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bear_36_1_4_3" elif (last_candle["rsi_14"] < 54.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bear_36_1_4_4" elif 0.04 > current_profit >= 0.03: if last_candle["rsi_14"] < 40.0: return True, "sell_profit_p_bear_36_1_3_1" elif (last_candle["rsi_14"] < 44.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bear_36_1_3_3" elif (last_candle["rsi_14"] < 52.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bear_36_1_3_4" elif 0.03 > current_profit >= 0.02: if last_candle["rsi_14"] < 36.0: return True, "sell_profit_p_bear_36_1_2_1" elif (last_candle["rsi_14"] < 42.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bear_36_1_2_3" elif (last_candle["rsi_14"] < 50.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bear_36_1_2_4" elif 0.02 > current_profit >= 0.01: if last_candle["rsi_14"] < 34.0: return True, "sell_profit_p_bear_36_1_1_1" elif (last_candle["rsi_14"] < 40.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bear_36_1_1_3" elif (last_candle["rsi_14"] < 48.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bear_36_1_1_4" if last_candle["hl_pct_change_24_1h"] > 0.68: if last_candle["moderi_96"]: if current_profit >= 0.2: if last_candle["rsi_14"] < 31.0: return True, "sell_profit_p_bull_24_1_12_1" elif 0.2 > current_profit >= 0.12: if last_candle["rsi_14"] < 33.0: return True, "sell_profit_p_bull_24_1_11_1" elif 0.12 > current_profit >= 0.1: if last_candle["rsi_14"] < 41.0: return True, "sell_profit_p_bull_24_1_10_1" elif 0.1 > current_profit >= 0.09: if last_candle["rsi_14"] < 51.0: return True, "sell_profit_p_bull_24_1_9_1" elif 0.09 > current_profit >= 0.08: if last_candle["rsi_14"] < 50.0: return True, "sell_profit_p_bull_24_1_8_1" elif 0.08 > current_profit >= 0.07: if last_candle["rsi_14"] < 49.0: return True, "sell_profit_p_bull_24_1_7_1" elif 0.07 > current_profit >= 0.06: if last_candle["rsi_14"] < 47.0: return True, "sell_profit_p_bull_24_1_6_1" elif (last_candle["rsi_14"] < 58.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bull_24_1_6_3" elif (last_candle["rsi_14"] < 56.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bull_24_1_6_4" elif 0.06 > current_profit >= 0.05: if last_candle["rsi_14"] < 45.0: return True, "sell_profit_p_bull_24_1_5_1" elif (last_candle["rsi_14"] < 56.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bull_24_1_5_3" elif (last_candle["rsi_14"] < 54.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bull_24_1_5_4" elif 0.05 > current_profit >= 0.04: if last_candle["rsi_14"] < 43.0: return True, "sell_profit_p_bull_24_1_4_1" elif (last_candle["rsi_14"] < 54.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bull_24_1_4_3" elif (last_candle["rsi_14"] < 53.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bull_24_1_4_4" elif 0.04 > current_profit >= 0.03: if last_candle["rsi_14"] < 39.0: return True, "sell_profit_p_bull_24_1_3_1" elif (last_candle["rsi_14"] < 46.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bull_24_1_3_3" elif (last_candle["rsi_14"] < 50.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bull_24_1_3_4" elif 0.03 > current_profit >= 0.02: if last_candle["rsi_14"] < 35.0: return True, "sell_profit_p_bull_24_1_2_1" elif (last_candle["rsi_14"] < 44.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bull_24_1_2_3" elif (last_candle["rsi_14"] < 48.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bull_24_1_2_4" elif 0.02 > current_profit >= 0.01: if last_candle["rsi_14"] < 33.0: return True, "sell_profit_p_bull_24_1_1_1" elif (last_candle["rsi_14"] < 38.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bull_24_1_1_3" elif (last_candle["rsi_14"] < 46.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bull_24_1_1_4" else: if current_profit >= 0.2: if last_candle["rsi_14"] < 32.0: return True, "sell_profit_p_bear_24_1_12_1" elif 0.2 > current_profit >= 0.12: if last_candle["rsi_14"] < 34.0: return True, "sell_profit_p_bear_24_1_11_1" elif 0.12 > current_profit >= 0.1: if last_candle["rsi_14"] < 42.0: return True, "sell_profit_p_bear_24_1_10_1" elif 0.1 > current_profit >= 0.09: if last_candle["rsi_14"] < 52.0: return True, "sell_profit_p_bear_24_1_9_1" elif 0.09 > current_profit >= 0.08: if last_candle["rsi_14"] < 51.0: return True, "sell_profit_p_bear_24_1_8_1" elif 0.08 > current_profit >= 0.07: if last_candle["rsi_14"] < 50.0: return True, "sell_profit_p_bear_24_1_7_1" elif 0.07 > current_profit >= 0.06: if last_candle["rsi_14"] < 48.0: return True, "sell_profit_p_bear_24_1_6_1" elif (last_candle["rsi_14"] < 58.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bear_24_1_6_3" elif (last_candle["rsi_14"] < 58.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bear_24_1_6_4" elif 0.06 > current_profit >= 0.05: if last_candle["rsi_14"] < 46.0: return True, "sell_profit_p_bear_24_1_5_1" elif (last_candle["rsi_14"] < 56.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bear_24_1_5_3" elif (last_candle["rsi_14"] < 56.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bear_24_1_5_4" elif 0.05 > current_profit >= 0.04: if last_candle["rsi_14"] < 44.0: return True, "sell_profit_p_bear_24_1_4_1" elif (last_candle["rsi_14"] < 54.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bear_24_1_4_3" elif (last_candle["rsi_14"] < 54.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bear_24_1_4_4" elif 0.04 > current_profit >= 0.03: if last_candle["rsi_14"] < 40.0: return True, "sell_profit_p_bear_24_1_3_1" elif (last_candle["rsi_14"] < 44.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bear_24_1_3_3" elif (last_candle["rsi_14"] < 52.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bear_24_1_3_4" elif 0.03 > current_profit >= 0.02: if last_candle["rsi_14"] < 36.0: return True, "sell_profit_p_bear_24_1_2_1" elif (last_candle["rsi_14"] < 42.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bear_24_1_2_3" elif (last_candle["rsi_14"] < 50.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bear_24_1_2_4" elif 0.02 > current_profit >= 0.01: if last_candle["rsi_14"] < 34.0: return True, "sell_profit_p_bear_24_1_1_1" elif (last_candle["rsi_14"] < 40.0) and (last_candle["cmf"] < -0.12): return True, "sell_profit_p_bear_24_1_1_3" elif (last_candle["rsi_14"] < 48.0) and (last_candle["r_14"] == 0): return True, "sell_profit_p_bear_24_1_1_4" return False, None def sell_pump_dec( self, current_profit: float, max_profit: float, max_loss: float, last_candle, previous_candle_1, trade: "Trade", current_time: "datetime", ) -> tuple: if ( (0.05 > current_profit > 0.01) and (last_candle["hl_pct_change_24_1h"] > 0.8) and (last_candle["sma_200_dec_20"]) and (last_candle["close"] < last_candle["ema_200"]) ): return True, "sell_profit_p_d_1" elif ( (0.05 > current_profit > 0.02) and (last_candle["hl_pct_change_36_1h"] > 1.2) and (last_candle["sma_200_dec_20"]) and (last_candle["close"] < last_candle["ema_200"]) ): return True, "sell_profit_p_d_2" elif ( (0.06 > current_profit > 0.04) and (last_candle["hl_pct_change_48_1h"] > 1.4) and (last_candle["sma_200_dec_20"]) and (last_candle["close"] < last_candle["ema_200"]) ): return True, "sell_profit_p_d_3" return False, None def sell_pump_trail( self, current_profit: float, max_profit: float, max_loss: float, last_candle, previous_candle_1, trade: "Trade", current_time: "datetime", ) -> tuple: if ( (0.03 > current_profit > 0.01) and (last_candle["hl_pct_change_6_1h"] > 0.16) and (last_candle["sma_200_dec_20"]) and (last_candle["cmf"] < 0.0) and (max_profit > (current_profit + 0.02)) and (last_candle["rsi_14"] < 50.0) ): return True, "sell_profit_p_t_1" return False, None def sell_pump_stoploss( self, current_profit: float, max_profit: float, max_loss: float, last_candle, previous_candle_1, trade: "Trade", current_time: "datetime", ) -> tuple: if last_candle["hl_pct_change_48_1h"] > 0.9: if ( (-0.04 > current_profit > -0.08) and (max_profit < 0.005) and (max_loss < 0.08) and (last_candle["close"] < last_candle["ema_200"]) and (last_candle["ema_vwma_osc_32"] < 0.0) and (last_candle["ema_vwma_osc_64"] < 0.0) and (last_candle["ema_vwma_osc_96"] < 0.0) and (last_candle["cmf"] < -0.0) ): return True, "sell_stoploss_p_48_1_1" elif ( (-0.04 > current_profit > -0.08) and (max_profit < 0.02) and (max_loss < 0.08) and (last_candle["close"] < last_candle["ema_200"]) and (last_candle["sma_200_dec_20"]) and (last_candle["ema_vwma_osc_32"] < 0.0) and (last_candle["ema_vwma_osc_64"] < 0.0) and (last_candle["ema_vwma_osc_96"] < 0.0) and (last_candle["cmf"] < -0.0) ): return True, "sell_stoploss_p_48_1_2" if last_candle["hl_pct_change_36_1h"] > 0.7: if ( (-0.04 > current_profit > -0.08) and (max_loss < 0.08) and (max_profit > (current_profit + 0.1)) and (last_candle["close"] < last_candle["ema_200"]) and (last_candle["ema_vwma_osc_32"] < 0.0) and (last_candle["ema_vwma_osc_64"] < 0.0) and (last_candle["ema_vwma_osc_96"] < 0.0) and (last_candle["cmf"] < -0.0) ): return True, "sell_stoploss_p_36_1_1" if last_candle["hl_pct_change_36_1h"] > 0.5: if ( (-0.05 > current_profit > -0.08) and (max_loss < 0.08) and (max_profit > (current_profit + 0.1)) and (last_candle["close"] < last_candle["ema_200"]) and (last_candle["ema_vwma_osc_32"] < 0.0) and (last_candle["ema_vwma_osc_64"] < 0.0) and (last_candle["ema_vwma_osc_96"] < 0.0) and (last_candle["cmf"] < -0.0) and (last_candle["rsi_14"] < 40.0) ): return True, "sell_stoploss_p_36_2_1" if last_candle["hl_pct_change_24_1h"] > 0.6: if ( (-0.04 > current_profit > -0.08) and (max_loss < 0.08) and (last_candle["close"] < last_candle["ema_200"]) and (last_candle["ema_vwma_osc_32"] < 0.0) and (last_candle["ema_vwma_osc_64"] < 0.0) and (last_candle["ema_vwma_osc_96"] < 0.0) and (last_candle["cmf"] < -0.0) ): return True, "sell_stoploss_p_24_1_1" return False, None def sell_duration( self, current_profit: float, max_profit: float, max_loss: float, last_candle, previous_candle_1, trade: "Trade", current_time: "datetime", ) -> tuple: if current_time - timedelta(minutes=1440) > trade.open_date_utc: if current_profit >= 0.2: if last_candle["rsi_14"] > 81.5: return True, "sell_profit_l_12_1" elif 0.2 > current_profit >= 0.12: if last_candle["rsi_14"] > 81.0: return True, "sell_profit_l_11_1" elif 0.12 > current_profit >= 0.1: if last_candle["rsi_14"] > 80.5: return True, "sell_profit_l_10_1" elif 0.1 > current_profit >= 0.09: if last_candle["rsi_14"] > 80.0: return True, "sell_profit_l_9_1" elif 0.09 > current_profit >= 0.08: if last_candle["rsi_14"] > 79.5: return True, "sell_profit_l_8_1" elif 0.08 > current_profit >= 0.07: if last_candle["rsi_14"] > 79.0: return True, "sell_profit_l_7_1" elif 0.07 > current_profit >= 0.06: if last_candle["rsi_14"] > 78.5: return True, "sell_profit_l_6_1" elif 0.06 > current_profit >= 0.05: if last_candle["rsi_14"] > 78.0: return True, "sell_profit_l_5_1" elif 0.05 > current_profit >= 0.04: if last_candle["rsi_14"] > 79.0: return True, "sell_profit_l_4_1" elif 0.04 > current_profit >= 0.03: if last_candle["rsi_14"] > 80.0: return True, "sell_profit_l_3_1" elif 0.03 > current_profit >= 0.02: if last_candle["rsi_14"] > 80.5: return True, "sell_profit_l_2_1" elif 0.02 > current_profit >= 0.01: if last_candle["rsi_14"] > 81.0: return True, "sell_profit_l_1_1" return False, None def sell_quick_mode( self, current_profit: float, max_profit: float, max_loss: float, last_candle, previous_candle_1, trade: "Trade", current_time: "datetime", ) -> tuple: if 0.04 > current_profit >= 0.02: if max_profit > (current_profit + 0.02): return True, "sell_profit_q_t_1" elif 0.06 > current_profit >= 0.04: if max_profit > (current_profit + 0.03): return True, "sell_profit_q_t_2" elif 0.08 > current_profit >= 0.06: if max_profit > (current_profit + 0.04): return True, "sell_profit_q_t_3" return False, None def custom_sell( self, pair: str, trade: "Trade", current_time: "datetime", current_rate: float, current_profit: float, **kwargs ): dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe) last_candle = dataframe.iloc[-1] previous_candle_1 = dataframe.iloc[-2] previous_candle_2 = dataframe.iloc[-3] previous_candle_3 = dataframe.iloc[-4] previous_candle_4 = dataframe.iloc[-5] previous_candle_5 = dataframe.iloc[-6] buy_tag = "empty" if hasattr(trade, "buy_tag") and trade.buy_tag is not None: buy_tag = trade.buy_tag buy_tags = buy_tag.split() max_profit = (trade.max_rate - trade.open_rate) / trade.open_rate max_loss = (trade.open_rate - trade.min_rate) / trade.min_rate # Quick sell mode if all(c in ["empty", "19"] for c in buy_tags): sell, signal_name = self.sell_quick_mode( current_profit, max_profit, max_loss, last_candle, previous_candle_1, trade, current_time ) if sell and (signal_name is not None): return f"{signal_name} ( {buy_tag})" # Original sell signals sell, signal_name = self.sell_signals( current_profit, max_profit, max_loss, last_candle, previous_candle_1, previous_candle_2, previous_candle_3, previous_candle_4, previous_candle_5, trade, current_time, buy_tag, ) if sell and (signal_name is not None): return f"{signal_name} ( {buy_tag})" # Stoplosses sell, signal_name = self.sell_stoploss( current_profit, max_profit, max_loss, last_candle, previous_candle_1, trade, current_time ) if sell and (signal_name is not None): return f"{signal_name} ( {buy_tag})" # Over EMA200, main profit targets sell, signal_name = self.sell_over_main(current_profit, last_candle) if sell and (signal_name is not None): return f"{signal_name} ( {buy_tag})" # Under EMA200, main profit targets sell, signal_name = self.sell_under_main(current_profit, last_candle) if sell and (signal_name is not None): return f"{signal_name} ( {buy_tag})" # Williams %R based sells sell, signal_name = self.sell_r( current_profit, max_profit, max_loss, last_candle, previous_candle_1, trade, current_time ) if sell and (signal_name is not None): return f"{signal_name} ( {buy_tag})" # Trailing sell, signal_name = self.sell_trail( current_profit, max_profit, max_loss, last_candle, previous_candle_1, trade, current_time ) if sell and (signal_name is not None): return f"{signal_name} ( {buy_tag})" # The pair is descending sell, signal_name = self.sell_dec_main(current_profit, last_candle) if sell and (signal_name is not None): return f"{signal_name} ( {buy_tag})" # Sell logic for pumped pairs sell, signal_name = self.sell_pump_main(current_profit, last_candle) if sell and (signal_name is not None): return f"{signal_name} ( {buy_tag})" # The pair is pumped, descending sell, signal_name = self.sell_pump_dec( current_profit, max_profit, max_loss, last_candle, previous_candle_1, trade, current_time ) if sell and (signal_name is not None): return f"{signal_name} ( {buy_tag})" # The pair is pumped, trailing sell, signal_name = self.sell_pump_trail( current_profit, max_profit, max_loss, last_candle, previous_candle_1, trade, current_time ) if sell and (signal_name is not None): return f"{signal_name} ( {buy_tag})" # The pair is pumped, stoploss sell, signal_name = self.sell_pump_stoploss( current_profit, max_profit, max_loss, last_candle, previous_candle_1, trade, current_time ) if sell and (signal_name is not None): return f"{signal_name} ( {buy_tag})" # Trade duration based sell logic sell, signal_name = self.sell_duration( current_profit, max_profit, max_loss, last_candle, previous_candle_1, trade, current_time ) if sell and (signal_name is not None): return f"{signal_name} ( {buy_tag})" return None def range_percent_change(self, dataframe: DataFrame, method, length: int) -> float: """ Rolling Percentage Change Maximum across interval. :param dataframe: DataFrame The original OHLC dataframe :param method: High to Low / Open to Close :param length: int The length to look back """ if method == "HL": return (dataframe["high"].rolling(length).max() - dataframe["low"].rolling(length).min()) / dataframe[ "low" ].rolling(length).min() elif method == "OC": return (dataframe["open"].rolling(length).max() - dataframe["close"].rolling(length).min()) / dataframe[ "close" ].rolling(length).min() else: raise ValueError(f"Method {method} not defined!") def top_percent_change(self, dataframe: DataFrame, length: int) -> float: """ Percentage change of the current close from the range maximum Open price :param dataframe: DataFrame The original OHLC dataframe :param length: int The length to look back """ if length == 0: return (dataframe["open"] - dataframe["close"]) / dataframe["close"] else: return (dataframe["open"].rolling(length).max() - dataframe["close"]) / dataframe["close"] def informative_pairs(self): # get access to all pairs available in whitelist. pairs = self.dp.current_whitelist() # Assign tf to each pair so they can be downloaded and cached for strategy. informative_pairs = [(pair, self.info_timeframe_1h) for pair in pairs] informative_pairs.extend([(pair, self.info_timeframe_1d) for pair in pairs]) if self.config["stake_currency"] in ["USDT", "BUSD", "USDC", "DAI", "TUSD", "PAX", "USD", "EUR", "GBP"]: btc_info_pair = f"BTC/{self.config['stake_currency']}" else: btc_info_pair = "BTC/USDT" informative_pairs.append((btc_info_pair, self.timeframe)) informative_pairs.append((btc_info_pair, self.info_timeframe_1h)) informative_pairs.append((btc_info_pair, self.info_timeframe_1d)) return informative_pairs def informative_1d_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: tik = time.perf_counter() assert self.dp, "DataProvider is required for multiple timeframes." # Get the informative pair informative_1d = self.dp.get_pair_dataframe(pair=metadata["pair"], timeframe=self.info_timeframe_1d) # Top traded coins if self.coin_metrics["top_traded_enabled"]: informative_1d = informative_1d.merge(self.coin_metrics["tt_dataframe"], on="date", how="left") informative_1d["is_top_traded"] = informative_1d.apply( lambda row: self.is_top_coin(metadata["pair"], row, self.coin_metrics["top_traded_len"]), axis=1 ) column_names = [f"Coin #{i}" for i in range(1, self.coin_metrics["top_traded_len"] + 1)] informative_1d.drop(columns=column_names, inplace=True) # Top grossing coins if self.coin_metrics["top_grossing_enabled"]: informative_1d = informative_1d.merge(self.coin_metrics["tg_dataframe"], on="date", how="left") informative_1d["is_top_grossing"] = informative_1d.apply( lambda row: self.is_top_coin(metadata["pair"], row, self.coin_metrics["top_grossing_len"]), axis=1 ) column_names = [f"Coin #{i}" for i in range(1, self.coin_metrics["top_grossing_len"] + 1)] informative_1d.drop(columns=column_names, inplace=True) # Pivots ( informative_1d["pivot"], informative_1d["res1"], informative_1d["res2"], informative_1d["res3"], informative_1d["sup1"], informative_1d["sup2"], informative_1d["sup3"], ) = pivot_points(informative_1d, mode="fibonacci") # Smoothed Heikin-Ashi informative_1d["open_sha"], informative_1d["close_sha"], informative_1d["low_sha"] = heikin_ashi( informative_1d, smooth_inputs=True, smooth_outputs=False, length=10 ) # S/R res_series = ( informative_1d["high"] .rolling(window=5, center=True) .apply(lambda row: self.is_resistance(row), raw=True) .shift(2) ) sup_series = ( informative_1d["low"].rolling(window=5, center=True).apply(lambda row: self.is_support(row), raw=True).shift(2) ) informative_1d["res_level"] = Series( np.where( res_series, np.where(informative_1d["close"] > informative_1d["open"], informative_1d["close"], informative_1d["open"]), float("NaN"), ) ).ffill() informative_1d["res_hlevel"] = Series(np.where(res_series, informative_1d["high"], float("NaN"))).ffill() informative_1d["sup_level"] = Series( np.where( sup_series, np.where(informative_1d["close"] < informative_1d["open"], informative_1d["close"], informative_1d["open"]), float("NaN"), ) ).ffill() tok = time.perf_counter() log.debug(f"[{metadata['pair']}] informative_1d_indicators took: {tok - tik:0.4f} seconds.") return informative_1d def informative_1h_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: tik = time.perf_counter() assert self.dp, "DataProvider is required for multiple timeframes." # Get the informative pair informative_1h = self.dp.get_pair_dataframe(pair=metadata["pair"], timeframe=self.info_timeframe_1h) # RSI informative_1h["rsi_14"] = ta.RSI(informative_1h, timeperiod=14) # EMAs informative_1h["ema_12"] = ta.EMA(informative_1h, timeperiod=12) informative_1h["ema_20"] = ta.EMA(informative_1h, timeperiod=20) informative_1h["ema_25"] = ta.EMA(informative_1h, timeperiod=25) informative_1h["ema_50"] = ta.EMA(informative_1h, timeperiod=50) informative_1h["ema_100"] = ta.EMA(informative_1h, timeperiod=100) informative_1h["ema_200"] = ta.EMA(informative_1h, timeperiod=200) # SMA informative_1h["sma_200"] = ta.SMA(informative_1h, timeperiod=200) informative_1h["sma_200_dec_20"] = informative_1h["sma_200"] < informative_1h["sma_200"].shift(20) informative_1h["sma_200_dec_24"] = informative_1h["sma_200"] < informative_1h["sma_200"].shift(24) # BB bollinger = qtpylib.bollinger_bands(qtpylib.typical_price(informative_1h), window=20, stds=2) informative_1h["bb20_2_low"] = bollinger["lower"] informative_1h["bb20_2_mid"] = bollinger["mid"] informative_1h["bb20_2_upp"] = bollinger["upper"] # CMF informative_1h["cmf"] = chaikin_money_flow(informative_1h, 20) # CTI informative_1h["cti"] = pta.cti(informative_1h["close"], length=20) # CRSI (3, 2, 100) crsi_closechange = informative_1h["close"] / informative_1h["close"].shift(1) crsi_updown = np.where(crsi_closechange.gt(1), 1.0, np.where(crsi_closechange.lt(1), -1.0, 0.0)) informative_1h["crsi"] = ( ta.RSI(informative_1h["close"], timeperiod=3) + ta.RSI(crsi_updown, timeperiod=2) + ta.ROC(informative_1h["close"], 100) ) / 3 # Williams %R informative_1h["r_14"] = williams_r(informative_1h, period=14) informative_1h["r_480"] = williams_r(informative_1h, period=480) # EWO informative_1h["ewo"] = ewo(informative_1h, 50, 200) informative_1h["ewo_ema"] = ewo_ema(informative_1h, 50, 200) # MOMDIV mom = momdiv(informative_1h) informative_1h["momdiv_buy"] = mom["momdiv_buy"] informative_1h["momdiv_sell"] = mom["momdiv_sell"] informative_1h["momdiv_coh"] = mom["momdiv_coh"] informative_1h["momdiv_col"] = mom["momdiv_col"] # S/R res_series = ( informative_1h["high"] .rolling(window=5, center=True) .apply(lambda row: self.is_resistance(row), raw=True) .shift(2) ) sup_series = ( informative_1h["low"].rolling(window=5, center=True).apply(lambda row: self.is_support(row), raw=True).shift(2) ) informative_1h["res_level"] = Series( np.where( res_series, np.where(informative_1h["close"] > informative_1h["open"], informative_1h["close"], informative_1h["open"]), float("NaN"), ) ).ffill() informative_1h["res_hlevel"] = Series(np.where(res_series, informative_1h["high"], float("NaN"))).ffill() informative_1h["sup_level"] = Series( np.where( sup_series, np.where(informative_1h["close"] < informative_1h["open"], informative_1h["close"], informative_1h["open"]), float("NaN"), ) ).ffill() # Pump protections informative_1h["hl_pct_change_48"] = self.range_percent_change(informative_1h, "HL", 48) informative_1h["hl_pct_change_36"] = self.range_percent_change(informative_1h, "HL", 36) informative_1h["hl_pct_change_24"] = self.range_percent_change(informative_1h, "HL", 24) informative_1h["hl_pct_change_12"] = self.range_percent_change(informative_1h, "HL", 12) informative_1h["hl_pct_change_6"] = self.range_percent_change(informative_1h, "HL", 6) tok = time.perf_counter() log.debug(f"[{metadata['pair']}] informative_1h_indicators took: {tok - tik:0.4f} seconds.") return informative_1h def normal_tf_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: tik = time.perf_counter() # RSI dataframe["rsi_14"] = ta.RSI(dataframe, timeperiod=14) # EMAs dataframe["ema_12"] = ta.EMA(dataframe, timeperiod=12) dataframe["ema_16"] = ta.EMA(dataframe, timeperiod=16) dataframe["ema_20"] = ta.EMA(dataframe, timeperiod=20) dataframe["ema_25"] = ta.EMA(dataframe, timeperiod=25) dataframe["ema_26"] = ta.EMA(dataframe, timeperiod=26) dataframe["ema_50"] = ta.EMA(dataframe, timeperiod=50) dataframe["ema_100"] = ta.EMA(dataframe, timeperiod=100) dataframe["ema_200"] = ta.EMA(dataframe, timeperiod=200) # SMA dataframe["sma_15"] = ta.SMA(dataframe, timeperiod=15) dataframe["sma_30"] = ta.SMA(dataframe, timeperiod=30) dataframe["sma_75"] = ta.SMA(dataframe, timeperiod=75) dataframe["sma_200"] = ta.SMA(dataframe, timeperiod=200) dataframe["sma_200_dec_20"] = dataframe["sma_200"] < dataframe["sma_200"].shift(20) dataframe["sma_200_dec_24"] = dataframe["sma_200"] < dataframe["sma_200"].shift(24) # BB 40 - STD2 bb_40_std2 = qtpylib.bollinger_bands(dataframe["close"], window=40, stds=2) dataframe["bb40_2_low"] = bb_40_std2["lower"] dataframe["bb40_2_mid"] = bb_40_std2["mid"] dataframe["bb40_2_delta"] = (bb_40_std2["mid"] - dataframe["bb40_2_low"]).abs() dataframe["closedelta"] = (dataframe["close"] - dataframe["close"].shift()).abs() dataframe["tail"] = (dataframe["close"] - dataframe["bb40_2_low"]).abs() # BB 20 - STD2 bb_20_std2 = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, stds=2) dataframe["bb20_2_low"] = bb_20_std2["lower"] dataframe["bb20_2_mid"] = bb_20_std2["mid"] dataframe["bb20_2_upp"] = bb_20_std2["upper"] # CMF dataframe["cmf"] = chaikin_money_flow(dataframe, 20) # Williams %R dataframe["r_14"] = williams_r(dataframe, period=14) dataframe["r_24"] = williams_r(dataframe, period=24) dataframe["r_32"] = williams_r(dataframe, period=32) dataframe["r_64"] = williams_r(dataframe, period=64) dataframe["r_96"] = williams_r(dataframe, period=96) dataframe["r_480"] = williams_r(dataframe, period=480) # CTI dataframe["cti"] = pta.cti(dataframe["close"], length=20) # CRSI (3, 2, 100) crsi_closechange = dataframe["close"] / dataframe["close"].shift(1) crsi_updown = np.where(crsi_closechange.gt(1), 1.0, np.where(crsi_closechange.lt(1), -1.0, 0.0)) dataframe["crsi"] = ( ta.RSI(dataframe["close"], timeperiod=3) + ta.RSI(crsi_updown, timeperiod=2) + ta.ROC(dataframe["close"], 100) ) / 3 # Modified Elder Ray Index dataframe["moderi_32"] = moderi(dataframe, 32) dataframe["moderi_64"] = moderi(dataframe, 64) dataframe["moderi_96"] = moderi(dataframe, 96) # EMA of VWMA Oscillator dataframe["ema_vwma_osc_32"] = ema_vwma_osc(dataframe, 32) dataframe["ema_vwma_osc_64"] = ema_vwma_osc(dataframe, 64) dataframe["ema_vwma_osc_96"] = ema_vwma_osc(dataframe, 96) # EWO dataframe["ewo"] = ewo(dataframe, 50, 200) dataframe["ewo_ema"] = ewo_ema(dataframe, 50, 200) # CCI dataframe["cci"] = ta.CCI(dataframe, source="hlc3", timeperiod=20) # MFI dataframe["mfi"] = ta.MFI(dataframe) # For sell checks dataframe["crossed_below_ema_12_26"] = qtpylib.crossed_below(dataframe["ema_12"], dataframe["ema_26"]) # Volume dataframe["vma_10"] = ta.SMA(dataframe["volume"], timeperiod=10) dataframe["vma_20"] = ta.SMA(dataframe["volume"], timeperiod=20) dataframe["vol_osc"] = (dataframe["vma_10"] - dataframe["vma_20"]) / dataframe["vma_20"] * 100 # MOMDIV mom = momdiv(dataframe) dataframe["momdiv_buy"] = mom["momdiv_buy"] dataframe["momdiv_sell"] = mom["momdiv_sell"] dataframe["momdiv_coh"] = mom["momdiv_coh"] dataframe["momdiv_col"] = mom["momdiv_col"] # Dip protection dataframe["tpct_change_0"] = self.top_percent_change(dataframe, 0) dataframe["tpct_change_2"] = self.top_percent_change(dataframe, 2) dataframe["tpct_change_12"] = self.top_percent_change(dataframe, 3) dataframe["tpct_change_144"] = self.top_percent_change(dataframe, 48) if not self.config["runmode"].value in ("live", "dry_run"): # Backtest age filter dataframe["bt_agefilter_ok"] = False dataframe.loc[dataframe.index > (12 * 24 * self.bt_min_age_days), "bt_agefilter_ok"] = True else: # Exchange downtime protection dataframe["live_data_ok"] = dataframe["volume"].rolling(window=72, min_periods=72).min() > 0 tok = time.perf_counter() log.debug(f"[{metadata['pair']}] normal_tf_indicators took: {tok - tik:0.4f} seconds.") return dataframe def resampled_tf_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: # Indicators # ----------------------------------------------------------------------------------------- dataframe["rsi_14"] = ta.RSI(dataframe, timeperiod=14) return dataframe def base_tf_btc_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: tik = time.perf_counter() # Indicators # ----------------------------------------------------------------------------------------- dataframe["rsi_14"] = ta.RSI(dataframe, timeperiod=14) # Add prefix # ----------------------------------------------------------------------------------------- ignore_columns = ["date", "open", "high", "low", "close", "volume"] dataframe.rename(columns=lambda s: f"btc_{s}" if s not in ignore_columns else s, inplace=True) tok = time.perf_counter() log.debug(f"[{metadata['pair']}] base_tf_btc_indicators took: {tok - tik:0.4f} seconds.") return dataframe def info_tf_btc_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: tik = time.perf_counter() # Indicators # ----------------------------------------------------------------------------------------- dataframe["rsi_14"] = ta.RSI(dataframe, timeperiod=14) dataframe["not_downtrend"] = (dataframe["close"] > dataframe["close"].shift(2)) | (dataframe["rsi_14"] > 50) # Add prefix # ----------------------------------------------------------------------------------------- ignore_columns = ["date", "open", "high", "low", "close", "volume"] dataframe.rename(columns=lambda s: f"btc_{s}" if s not in ignore_columns else s, inplace=True) tok = time.perf_counter() log.debug(f"[{metadata['pair']}] info_tf_btc_indicators took: {tok - tik:0.4f} seconds.") return dataframe def daily_tf_btc_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: tik = time.perf_counter() # Indicators # ----------------------------------------------------------------------------------------- ( dataframe["pivot"], dataframe["res1"], dataframe["res2"], dataframe["res3"], dataframe["sup1"], dataframe["sup2"], dataframe["sup3"], ) = pivot_points(dataframe, mode="fibonacci") # Add prefix # ----------------------------------------------------------------------------------------- ignore_columns = ["date", "open", "high", "low", "close", "volume"] dataframe.rename(columns=lambda s: f"btc_{s}" if s not in ignore_columns else s, inplace=True) tok = time.perf_counter() log.debug(f"[{metadata['pair']}] daily_tf_btc_indicators took: {tok - tik:0.4f} seconds.") return dataframe def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: tik = time.perf_counter() """ --> BTC informative (5m/1h) ___________________________________________________________________________________________ """ if self.config["stake_currency"] in ["USDT", "BUSD", "USDC", "DAI", "TUSD", "PAX", "USD", "EUR", "GBP"]: btc_info_pair = f"BTC/{self.config['stake_currency']}" else: btc_info_pair = "BTC/USDT" if self.has_BTC_daily_tf: btc_daily_tf = self.dp.get_pair_dataframe(btc_info_pair, "1d") btc_daily_tf = self.daily_tf_btc_indicators(btc_daily_tf, metadata) dataframe = merge_informative_pair(dataframe, btc_daily_tf, self.timeframe, "1d", ffill=True) drop_columns = [f"{s}_1d" for s in ["date", "open", "high", "low", "close", "volume"]] dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True) if self.has_BTC_info_tf: btc_info_tf = self.dp.get_pair_dataframe(btc_info_pair, self.info_timeframe_1h) btc_info_tf = self.info_tf_btc_indicators(btc_info_tf, metadata) dataframe = merge_informative_pair(dataframe, btc_info_tf, self.timeframe, self.info_timeframe_1h, ffill=True) drop_columns = [f"{s}_{self.info_timeframe_1h}" for s in ["date", "open", "high", "low", "close", "volume"]] dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True) if self.has_BTC_base_tf: btc_base_tf = self.dp.get_pair_dataframe(btc_info_pair, self.timeframe) btc_base_tf = self.base_tf_btc_indicators(btc_base_tf, metadata) dataframe = merge_informative_pair(dataframe, btc_base_tf, self.timeframe, self.timeframe, ffill=True) drop_columns = [f"{s}_{self.timeframe}" for s in ["date", "open", "high", "low", "close", "volume"]] dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True) """ --> Informative timeframe ___________________________________________________________________________________________ """ if self.info_timeframe_1d != "none": informative_1d = self.informative_1d_indicators(dataframe, metadata) dataframe = merge_informative_pair(dataframe, informative_1d, self.timeframe, self.info_timeframe_1d, ffill=True) drop_columns = [f"{s}_{self.info_timeframe_1d}" for s in ["date", "open", "high", "low", "close", "volume"]] dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True) if self.info_timeframe_1h != "none": informative_1h = self.informative_1h_indicators(dataframe, metadata) dataframe = merge_informative_pair(dataframe, informative_1h, self.timeframe, self.info_timeframe_1h, ffill=True) drop_columns = [f"{s}_{self.info_timeframe_1h}" for s in ["date"]] dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True) """ --> Resampled to another timeframe ___________________________________________________________________________________________ """ if self.res_timeframe != "none": resampled = resample_to_interval(dataframe, timeframe_to_minutes(self.res_timeframe)) resampled = self.resampled_tf_indicators(resampled, metadata) # Merge resampled info dataframe dataframe = resampled_merge(dataframe, resampled, fill_na=True) dataframe.rename(columns=lambda s: f"{s}_{self.res_timeframe}" if "resample_" in s else s, inplace=True) dataframe.rename( columns=lambda s: s.replace("resample_{}_".format(self.res_timeframe.replace("m", "")), ""), inplace=True ) drop_columns = [f"{s}_{self.res_timeframe}" for s in ["date"]] dataframe.drop(columns=dataframe.columns.intersection(drop_columns), inplace=True) """ --> The indicators for the normal (5m) timeframe ___________________________________________________________________________________________ """ dataframe = self.normal_tf_indicators(dataframe, metadata) tok = time.perf_counter() log.debug(f"[{metadata['pair']}] Populate indicators took a total of: {tok - tik:0.4f} seconds.") return dataframe def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: conditions = [] dataframe.loc[:, "buy_tag"] = "" for index in self.buy_protection_params: item_buy_protection_list = [True] global_buy_protection_params = self.buy_protection_params[index] if self.buy_params[f"buy_condition_{index}_enable"]: # Standard protections - Common to every condition # ----------------------------------------------------------------------------------------- if global_buy_protection_params["ema_fast"]: item_buy_protection_list.append( dataframe[f"ema_{global_buy_protection_params['ema_fast_len']}"] > dataframe["ema_200"] ) if global_buy_protection_params["ema_slow"]: item_buy_protection_list.append( dataframe[f"ema_{global_buy_protection_params['ema_slow_len']}_1h"] > dataframe["ema_200_1h"] ) if global_buy_protection_params["close_above_ema_fast"]: item_buy_protection_list.append( dataframe["close"] > dataframe[f"ema_{global_buy_protection_params['close_above_ema_fast_len']}"] ) if global_buy_protection_params["close_above_ema_slow"]: item_buy_protection_list.append( dataframe["close"] > dataframe[f"ema_{global_buy_protection_params['close_above_ema_slow_len']}_1h"] ) if global_buy_protection_params["sma200_rising"]: item_buy_protection_list.append( dataframe["sma_200"] > dataframe["sma_200"].shift(int(global_buy_protection_params["sma200_rising_val"])) ) if global_buy_protection_params["sma200_1h_rising"]: item_buy_protection_list.append( dataframe["sma_200_1h"] > dataframe["sma_200_1h"].shift(int(global_buy_protection_params["sma200_1h_rising_val"])) ) if global_buy_protection_params["safe_dips_threshold_0"] is not None: item_buy_protection_list.append( dataframe["tpct_change_0"] < global_buy_protection_params["safe_dips_threshold_0"] ) if global_buy_protection_params["safe_dips_threshold_2"] is not None: item_buy_protection_list.append( dataframe["tpct_change_2"] < global_buy_protection_params["safe_dips_threshold_2"] ) if global_buy_protection_params["safe_dips_threshold_12"] is not None: item_buy_protection_list.append( dataframe["tpct_change_12"] < global_buy_protection_params["safe_dips_threshold_12"] ) if global_buy_protection_params["safe_dips_threshold_144"] is not None: item_buy_protection_list.append( dataframe["tpct_change_144"] < global_buy_protection_params["safe_dips_threshold_144"] ) if global_buy_protection_params["safe_pump_6h_threshold"] is not None: item_buy_protection_list.append( dataframe["hl_pct_change_6_1h"] < global_buy_protection_params["safe_pump_6h_threshold"] ) if global_buy_protection_params["safe_pump_12h_threshold"] is not None: item_buy_protection_list.append( dataframe["hl_pct_change_12_1h"] < global_buy_protection_params["safe_pump_12h_threshold"] ) if global_buy_protection_params["safe_pump_24h_threshold"] is not None: item_buy_protection_list.append( dataframe["hl_pct_change_24_1h"] < global_buy_protection_params["safe_pump_24h_threshold"] ) if global_buy_protection_params["safe_pump_36h_threshold"] is not None: item_buy_protection_list.append( dataframe["hl_pct_change_36_1h"] < global_buy_protection_params["safe_pump_36h_threshold"] ) if global_buy_protection_params["safe_pump_48h_threshold"] is not None: item_buy_protection_list.append( dataframe["hl_pct_change_48_1h"] < global_buy_protection_params["safe_pump_48h_threshold"] ) if global_buy_protection_params["btc_1h_not_downtrend"]: item_buy_protection_list.append(dataframe["btc_not_downtrend_1h"]) if global_buy_protection_params["close_over_pivot_type"] != "none": item_buy_protection_list.append( dataframe["close"] > dataframe[f"{global_buy_protection_params['close_over_pivot_type']}_1d"] * global_buy_protection_params["close_over_pivot_offset"] ) if global_buy_protection_params["close_under_pivot_type"] != "none": item_buy_protection_list.append( dataframe["close"] < dataframe[f"{global_buy_protection_params['close_under_pivot_type']}_1d"] * global_buy_protection_params["close_under_pivot_offset"] ) if not self.config["runmode"].value in ("live", "dry_run"): if self.has_bt_agefilter: item_buy_protection_list.append(dataframe["bt_agefilter_ok"]) else: if self.has_downtime_protection: item_buy_protection_list.append(dataframe["live_data_ok"]) # Buy conditions # ----------------------------------------------------------------------------------------- item_buy_logic = [] item_buy_logic.append(reduce(lambda x, y: x & y, item_buy_protection_list)) # Condition #1 - Semi swing mode. Increase in the last candles & relative local dip. if index == 1: # Non-Standard protections # Logic item_buy_logic.append( ((dataframe["close"] - dataframe["open"].rolling(4).min()) / dataframe["open"].rolling(4).min()) > 0.04 ) item_buy_logic.append(dataframe["rsi_14"] < 33.0) item_buy_logic.append(dataframe["rsi_14_1h"] > 30.0) item_buy_logic.append(dataframe["rsi_14_1h"] < 50.0) item_buy_logic.append(dataframe["r_480_1h"] > -99.0) # Condition #2 - Semi swing. Local dip. Uptrend. elif index == 2: # Non-Standard protections # Logic item_buy_logic.append(dataframe["ema_26"] > dataframe["ema_12"]) item_buy_logic.append((dataframe["ema_26"] - dataframe["ema_12"]) > (dataframe["open"] * 0.025)) item_buy_logic.append( (dataframe["ema_26"].shift() - dataframe["ema_12"].shift()) > (dataframe["open"] / 100) ) item_buy_logic.append(dataframe["close"] < (dataframe["bb20_2_low"] * 0.999)) # Condition #3 - Semi swing. Local dip. Strong uptrend. elif index == 3: # Non-Standard protections # Logic item_buy_logic.append(dataframe["ewo_ema"] > 4.2) item_buy_logic.append(dataframe["rsi_14"] < 29.2) item_buy_logic.append(dataframe["cti"] < -0.88) item_buy_logic.append(dataframe["cci"] < -133.0) item_buy_logic.append(dataframe["r_14"] < -97.0) item_buy_logic.append(dataframe["cti_1h"] < 0.1) # Condition #4 - Semi swing. Local dip. Uptrend. Strict pump & dip protections. elif index == 4: # Non-Standard protections # Logic item_buy_logic.append(dataframe["bb40_2_low"].shift().gt(0)) item_buy_logic.append(dataframe["bb40_2_delta"].gt(dataframe["close"] * 0.045)) item_buy_logic.append(dataframe["closedelta"].gt(dataframe["close"] * 0.032)) item_buy_logic.append(dataframe["tail"].lt(dataframe["bb40_2_delta"] * 0.24)) item_buy_logic.append(dataframe["close"].lt(dataframe["bb40_2_low"].shift())) item_buy_logic.append(dataframe["close"].le(dataframe["close"].shift())) item_buy_logic.append(dataframe["cti"] < -0.5) item_buy_logic.append(dataframe["r_14"] < -90.0) item_buy_logic.append(dataframe["r_64"] < -90.0) item_buy_logic.append(dataframe["r_96"] < -80.0) item_buy_logic.append(dataframe["cti_1h"] < 0.8) item_buy_logic.append(dataframe["r_480_1h"] < -35.0) # Condition #5 - Semi swing. Local deeper dip. Uptrend. elif index == 5: # Non-Standard protections # Logic item_buy_logic.append(dataframe["close"] < dataframe["ema_26"] * 0.966) item_buy_logic.append(dataframe["ewo_ema"] > 4.0) item_buy_logic.append(dataframe["rsi_14"] < 26.0) item_buy_logic.append(dataframe["cti"] < -0.75) item_buy_logic.append(dataframe["r_14"] < -96.0) item_buy_logic.append(dataframe["mfi"] < 20.0) # Condition #6 - Semi swing. Local deeper dip. Uptrend. elif index == 6: # Non-Standard protections # Logic item_buy_logic.append(dataframe["close"] < dataframe["ema_20"] * 0.958) item_buy_logic.append(dataframe["ewo_ema"] > 2.4) item_buy_logic.append(dataframe["cci"] < -190.0) item_buy_logic.append(dataframe["r_14"] < -97.0) item_buy_logic.append(dataframe["ewo_ema_1h"] > 4.0) item_buy_logic.append((dataframe["rsi_14_1h"] + dataframe["rsi_14"]) < 74.0) # Condition #7 - Semi swing. 1h uptrend. elif index == 7: # Non-Standard protections (add below) item_buy_logic.append(dataframe["ema_200_1h"] > dataframe["ema_200_1h"].shift(4)) item_buy_logic.append(dataframe["ema_200_1h"].shift(4) > dataframe["ema_200_1h"].shift(8)) # Logic item_buy_logic.append(dataframe["ema_26"] > dataframe["ema_12"]) item_buy_logic.append((dataframe["ema_26"] - dataframe["ema_12"]) > (dataframe["open"] * 0.026)) item_buy_logic.append( (dataframe["ema_26"].shift() - dataframe["ema_12"].shift()) > (dataframe["open"] / 100) ) item_buy_logic.append(dataframe["close"] < (dataframe["bb20_2_low"] * 0.999)) # Condition #8 - Semi swing. Local dip. 1h minor dip. elif index == 8: # Non-Standard protections # Logic item_buy_logic.append(dataframe["rsi_14"] < dataframe["rsi_14"].shift(1)) item_buy_logic.append(dataframe["ema_20_1h"] > dataframe["ema_25_1h"]) item_buy_logic.append(dataframe["close"] < (dataframe["sma_15"] * 0.95)) item_buy_logic.append( ((dataframe["open"] < dataframe["ema_20_1h"]) & (dataframe["low"] < dataframe["ema_20_1h"])) | ((dataframe["open"] > dataframe["ema_20_1h"]) & (dataframe["low"] > dataframe["ema_20_1h"])) ) item_buy_logic.append(dataframe["cti"] < -0.9) item_buy_logic.append(dataframe["r_14"] < -92.0) item_buy_logic.append(dataframe["cti_1h"] < -0.1) # Condition #9 - Semi swing. Local deep. Uptrend, 1h uptrend. elif index == 9: # Non-Standard protections # Logic item_buy_logic.append(dataframe["close"].shift(1) < (dataframe["sma_15"].shift(1) * 0.97)) item_buy_logic.append(dataframe["close"] > (dataframe["open"].shift(1))) item_buy_logic.append(dataframe["ewo_ema"] > 4.2) item_buy_logic.append(dataframe["cti"] < -0.75) item_buy_logic.append(dataframe["r_14"].shift(1) < -94.0) item_buy_logic.append(dataframe["ewo_ema_1h"] > 2.0) item_buy_logic.append(dataframe["cti_1h"] < -0.75) # Condition #10 - Semi swing. Local dip. elif index == 10: # Non-Standard protections # Logic item_buy_logic.append(dataframe["ema_26"] > dataframe["ema_12"]) item_buy_logic.append((dataframe["ema_26"] - dataframe["ema_12"]) > (dataframe["open"] * 0.026)) item_buy_logic.append( (dataframe["ema_26"].shift() - dataframe["ema_12"].shift()) > (dataframe["open"] / 100) ) item_buy_logic.append(dataframe["close"] < dataframe["ema_20"] * 0.942) item_buy_logic.append(dataframe["rsi_14"] < 28.2) item_buy_logic.append(dataframe["crsi"] > 10.0) # Condition #11 - Semi swing. Deep local dip. Mild uptrend. elif index == 11: # Non-Standard protections # Logic item_buy_logic.append(dataframe["close"] < dataframe["ema_20"] * 0.938) item_buy_logic.append(dataframe["ewo_ema"] > 2.0) item_buy_logic.append(dataframe["cti"] < -0.87) item_buy_logic.append(dataframe["r_14"] < -97.0) item_buy_logic.append(dataframe["r_96"] < -85.0) # Condition #12 - Semi swing. Downtrend. Dip. elif index == 12: # Non-Standard protections # Logic item_buy_logic.append(dataframe["close"] < (dataframe["ema_16"] * 0.954)) item_buy_logic.append(dataframe["ewo_ema"] < -8.4) item_buy_logic.append(dataframe["cti"] < -0.9) item_buy_logic.append(dataframe["r_14"] < -94.0) item_buy_logic.append(dataframe["crsi_1h"] > 3.0) # Condition #13 - Semi swing. 1h uptrend. BTC not downtrend. elif index == 13: # Non-Standard protections (add below) # Logic item_buy_logic.append(dataframe["ema_26"] > dataframe["ema_12"]) item_buy_logic.append((dataframe["ema_26"] - dataframe["ema_12"]) > (dataframe["open"] * 0.0242)) item_buy_logic.append( (dataframe["ema_26"].shift() - dataframe["ema_12"].shift()) > (dataframe["open"] / 100) ) item_buy_logic.append(dataframe["close"] < (dataframe["bb20_2_low"] * 0.998)) # Condition #14 - Semi swing. Uptrend. Local dip. elif index == 14: # Non-Standard protections (add below) # Logic item_buy_logic.append(dataframe["ewo_ema"] > 7.5) item_buy_logic.append(dataframe["close"] > (dataframe["close"].shift(1))) item_buy_logic.append(dataframe["close"].shift(1) < (dataframe["bb20_2_low"].shift(1) * 0.985)) item_buy_logic.append(dataframe["r_14"].shift(1) < -97.0) item_buy_logic.append(dataframe["r_96"].shift(1) < -85.0) # Condition #15 - Semi swing. Downtrend.Local dip. elif index == 15: # Non-Standard protections (add below) # Logic item_buy_logic.append(dataframe["ewo_ema"].shift(1) < -10.4) item_buy_logic.append(dataframe["cti"].shift(1).rolling(5).max() < -0.88) item_buy_logic.append(dataframe["r_14"].shift(1) < -90.0) item_buy_logic.append(dataframe["crsi_1h"] > 2.0) # Condition #16 - Semi swing. Strong uptrend. 1h uptrend. Local dip. BTC not downtrend. elif index == 16: # Non-Standard protections # Logic item_buy_logic.append(dataframe["ewo_ema"].shift(1) > 6.5) item_buy_logic.append(dataframe["close"].shift(1) < (dataframe["sma_30"].shift(1) * 0.988)) item_buy_logic.append(dataframe["close"].shift(1) < (dataframe["bb20_2_low"].shift(1) * 0.996)) item_buy_logic.append(dataframe["rsi_14"].shift(1) < 31.2) item_buy_logic.append(dataframe["r_14"].shift(1) < -94.0) item_buy_logic.append(dataframe["r_96"].shift(1) < -80.0) item_buy_logic.append(dataframe["r_480_1h"] < -20.0) # Condition #17 - Semi swing. Strong 1h uptrend. BTC not negative. Local dip. elif index == 17: # Non-Standard protections (add below) item_buy_logic.append(dataframe["ema_200_1h"] > dataframe["ema_200_1h"].shift(4)) item_buy_logic.append(dataframe["ema_200_1h"].shift(4) > dataframe["ema_200_1h"].shift(8)) item_buy_logic.append(dataframe["ema_200_1h"].shift(8) > dataframe["ema_200_1h"].shift(12)) # Logic item_buy_logic.append(dataframe["ema_26"] > dataframe["ema_12"]) item_buy_logic.append((dataframe["ema_26"] - dataframe["ema_12"]) > (dataframe["open"] * 0.018)) # 0.018 item_buy_logic.append( (dataframe["ema_26"].shift() - dataframe["ema_12"].shift()) > (dataframe["open"] / 100) ) item_buy_logic.append(dataframe["close"] < (dataframe["bb20_2_low"] * 0.99)) item_buy_logic.append(dataframe["r_14"] < -90.0) item_buy_logic.append(dataframe["r_96"] < -90.0) item_buy_logic.append(dataframe["ewo_ema_1h"] > 12.4) # 12.0 item_buy_logic.append(dataframe["cti_1h"] > -0.5) # Condition #18 - Semi swing. Uptrend. 1h uptrend. Local dip. elif index == 18: # Non-Standard protections # Logic item_buy_logic.append(dataframe["ewo_ema"] > 6.0) item_buy_logic.append(dataframe["r_14"] < -97.0) item_buy_logic.append(dataframe["r_96"] < -97.0) item_buy_logic.append(dataframe["ewo_ema_1h"] > 2.0) item_buy_logic.append(dataframe["cti_1h"] > -0.5) # Condition #19 - Quick mode. Uptrend. Local dip. elif index == 19: # Non-Standard protections # Logic item_buy_logic.append(dataframe["ewo_ema"] > 6.8) item_buy_logic.append(dataframe["cci"] < -180.0) item_buy_logic.append(dataframe["r_14"] < -95.0) item_buy_logic.append(qtpylib.crossed_below(dataframe["close"], dataframe["ema_200"])) # Condition #20 - Swing. Uptrend. Bounce from daily support level elif index == 20: # Non-Standard protections item_buy_logic.append(dataframe["close_1h"] > dataframe["sup_level_1d"]) item_buy_logic.append(dataframe["close_1h"] < dataframe["sup_level_1d"] * 1.05) item_buy_logic.append(dataframe["low_1h"] < dataframe["sup_level_1d"] * 0.99) item_buy_logic.append(dataframe["close_1h"] < dataframe["res_level_1h"]) item_buy_logic.append(dataframe["res_level_1d"] > dataframe["sup_level_1d"]) # item_buy_logic.append(dataframe['close'].shift(1) < dataframe['sup_level_1d']) # item_buy_logic.append(dataframe['close'].shift(2) < dataframe['sup_level_1d']) item_buy_logic.append(dataframe["volume"] > dataframe["volume"].shift() * 3) item_buy_logic.append(dataframe["rsi_14"] < 65) item_buy_logic.append(dataframe["rsi_14_1h"] > 48) item_buy_logic.append(dataframe["vol_osc"] > 0) # Confirm uptrend - Heikin-Ashi item_buy_logic.append(dataframe["open_sha_1d"] < dataframe["close_sha_1d"]) item_buy_logic.append(dataframe["open_sha_1d"].shift(96) < dataframe["close_sha_1d"].shift(96)) item_buy_logic.append(dataframe["pivot_1d"] > dataframe["pivot_1d"].shift(96) * 0.95) # Condition 21 - Semi swing. Uptrend. Local dip. Movement divergence. elif index == 21: # Non-Standard protections # Logic item_buy_logic.append(dataframe["close"] < (dataframe["ema_25"] * 0.942)) item_buy_logic.append(dataframe["momdiv_buy"]) item_buy_logic.append(dataframe["ewo_ema"] > 2.5) item_buy_logic.append(dataframe["r_14"] < -97.0) # -97.0 item_buy_logic.append(dataframe["cti_1h"] < 0.5) item_buy_logic.append(dataframe["volume"] > 0) item_buy = reduce(lambda x, y: x & y, item_buy_logic) dataframe.loc[item_buy, "buy_tag"] += f"{index} " conditions.append(item_buy) if conditions: dataframe.loc[:, "buy"] = reduce(lambda x, y: x | y, conditions) return dataframe def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: dataframe.loc[:, "sell"] = 0 return dataframe def confirm_trade_exit( self, pair: str, trade: "Trade", order_type: str, amount: float, rate: float, time_in_force: str, sell_reason: str, **kwargs, ) -> bool: """ Called right before placing a regular sell order. Timing for this function is critical, so avoid doing heavy computations or network requests in this method. For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/ When not implemented by a strategy, returns True (always confirming). :param pair: Pair that's about to be sold. :param trade: trade object. :param order_type: Order type (as configured in order_types). usually limit or market. :param amount: Amount in quote currency. :param rate: Rate that's going to be used when using limit orders :param time_in_force: Time in force. Defaults to GTC (Good-til-cancelled). :param sell_reason: Sell reason. Can be any of ['roi', 'stop_loss', 'stoploss_on_exchange', 'trailing_stop_loss', 'sell_signal', 'force_sell', 'emergency_sell'] :param **kwargs: Ensure to keep this here so updates to this won't break your strategy. :return bool: When True is returned, then the sell-order is placed on the exchange. False aborts the process """ if self._should_hold_trade(trade, rate, sell_reason): return False return True def _should_hold_trade(self, trade: "Trade", rate: float, sell_reason: str) -> bool: if self.config["runmode"].value not in ("live", "dry_run"): return False if not self.holdSupportEnabled: return False # Just to be sure our hold data is loaded, should be a no-op call after the first bot loop self.load_hold_trades_config() if not self.hold_trades_cache: # Cache hasn't been setup, likely because the corresponding file does not exist, sell return False if not self.hold_trades_cache.data: # We have no pairs we want to hold until profit, sell return False # By default, no hold should be done hold_trade = False trade_ids: dict = self.hold_trades_cache.data.get("trade_ids") if trade_ids and trade.id in trade_ids: trade_profit_ratio = trade_ids[trade.id] current_profit_ratio = trade.calc_profit_ratio(rate) if sell_reason == "force_sell": formatted_profit_ratio = f"{trade_profit_ratio * 100}%" formatted_current_profit_ratio = f"{current_profit_ratio * 100}%" log.warning( "Force selling %s even though the current profit of %s < %s", trade, formatted_current_profit_ratio, formatted_profit_ratio, ) return False elif current_profit_ratio >= trade_profit_ratio: # This pair is on the list to hold, and we reached minimum profit, sell formatted_profit_ratio = f"{trade_profit_ratio * 100}%" formatted_current_profit_ratio = f"{current_profit_ratio * 100}%" log.warning( "Selling %s because the current profit of %s >= %s", trade, formatted_current_profit_ratio, formatted_profit_ratio, ) return False # This pair is on the list to hold, and we haven't reached minimum profit, hold hold_trade = True trade_pairs: dict = self.hold_trades_cache.data.get("trade_pairs") if trade_pairs and trade.pair in trade_pairs: trade_profit_ratio = trade_pairs[trade.pair] current_profit_ratio = trade.calc_profit_ratio(rate) if sell_reason == "force_sell": formatted_profit_ratio = f"{trade_profit_ratio * 100}%" formatted_current_profit_ratio = f"{current_profit_ratio * 100}%" log.warning( "Force selling %s even though the current profit of %s < %s", trade, formatted_current_profit_ratio, formatted_profit_ratio, ) return False elif current_profit_ratio >= trade_profit_ratio: # This pair is on the list to hold, and we reached minimum profit, sell formatted_profit_ratio = f"{trade_profit_ratio * 100}%" formatted_current_profit_ratio = f"{current_profit_ratio * 100}%" log.warning( "Selling %s because the current profit of %s >= %s", trade, formatted_current_profit_ratio, formatted_profit_ratio, ) return False # This pair is on the list to hold, and we haven't reached minimum profit, hold hold_trade = True return hold_trade # Elliot Wave Oscillator def ewo(dataframe, sma1_length=5, sma2_length=35): sma1 = ta.SMA(dataframe, timeperiod=sma1_length) sma2 = ta.SMA(dataframe, timeperiod=sma2_length) smadif = (sma1 - sma2) / dataframe["close"] * 100 return smadif def ewo_ema(dataframe, sma1_length=5, sma2_length=35): sma1 = ta.EMA(dataframe, timeperiod=sma1_length) sma2 = ta.EMA(dataframe, timeperiod=sma2_length) smadif = (sma1 - sma2) / dataframe["close"] * 100 return smadif # Chaikin Money Flow def chaikin_money_flow(dataframe, n=20, fillna=False) -> Series: """Chaikin Money Flow (CMF) It measures the amount of Money Flow Volume over a specific period. http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:chaikin_money_flow_cmf Args: dataframe(pandas.Dataframe): dataframe containing ohlcv n(int): n period. fillna(bool): if True, fill nan values. Returns: pandas.Series: New feature generated. """ mfv = ((dataframe["close"] - dataframe["low"]) - (dataframe["high"] - dataframe["close"])) / ( dataframe["high"] - dataframe["low"] ) mfv = mfv.fillna(0.0) # float division by zero mfv *= dataframe["volume"] cmf = mfv.rolling(n, min_periods=0).sum() / dataframe["volume"].rolling(n, min_periods=0).sum() if fillna: cmf = cmf.replace([np.inf, -np.inf], np.nan).fillna(0) return Series(cmf, name="cmf") # Williams %R def williams_r(dataframe: DataFrame, period: int = 14) -> Series: """Williams %R, or just %R, is a technical analysis oscillator showing the current closing price in relation to the high and low of the past N days (for a given N). It was developed by a publisher and promoter of trading materials, Larry Williams. Its purpose is to tell whether a stock or commodity market is trading near the high or the low, or somewhere in between, of its recent trading range. The oscillator is on a negative scale, from −100 (lowest) up to 0 (highest). """ highest_high = dataframe["high"].rolling(center=False, window=period).max() lowest_low = dataframe["low"].rolling(center=False, window=period).min() WR = Series( (highest_high - dataframe["close"]) / (highest_high - lowest_low), name=f"{period} Williams %R", ) return WR * -100 # Volume Weighted Moving Average def vwma(dataframe: DataFrame, length: int = 10): """Indicator: Volume Weighted Moving Average (VWMA)""" # Calculate Result pv = dataframe["close"] * dataframe["volume"] vwma = Series(ta.SMA(pv, timeperiod=length) / ta.SMA(dataframe["volume"], timeperiod=length)) vwma = vwma.fillna(0, inplace=True) return vwma # Modified Elder Ray Index def moderi(dataframe: DataFrame, len_slow_ma: int = 32) -> Series: slow_ma = Series(ta.EMA(vwma(dataframe, length=len_slow_ma), timeperiod=len_slow_ma)) return slow_ma >= slow_ma.shift(1) # we just need true & false for ERI trend # Exponential moving average of a volume weighted simple moving average def ema_vwma_osc(dataframe, len_slow_ma): slow_ema = Series(ta.EMA(vwma(dataframe, len_slow_ma), len_slow_ma)) return ((slow_ema - slow_ema.shift(1)) / slow_ema.shift(1)) * 100 # Mom DIV def momdiv( dataframe: DataFrame, mom_length: int = 10, bb_length: int = 20, bb_dev: float = 2.0, lookback: int = 30 ) -> DataFrame: mom: Series = ta.MOM(dataframe, timeperiod=mom_length) upperband, middleband, lowerband = ta.BBANDS(mom, timeperiod=bb_length, nbdevup=bb_dev, nbdevdn=bb_dev, matype=0) buy = qtpylib.crossed_below(mom, lowerband) sell = qtpylib.crossed_above(mom, upperband) hh = dataframe["high"].rolling(lookback).max() ll = dataframe["low"].rolling(lookback).min() coh = dataframe["high"] >= hh col = dataframe["low"] <= ll df = DataFrame( { "momdiv_mom": mom, "momdiv_upperb": upperband, "momdiv_lowerb": lowerband, "momdiv_buy": buy, "momdiv_sell": sell, "momdiv_coh": coh, "momdiv_col": col, }, index=dataframe["close"].index, ) return df def pivot_points(dataframe: DataFrame, mode="fibonacci") -> Series: hlc3_pivot = (dataframe["high"] + dataframe["low"] + dataframe["close"]).shift(1) / 3 hl_range = (dataframe["high"] - dataframe["low"]).shift(1) if mode == "simple": res1 = hlc3_pivot * 2 - dataframe["low"].shift(1) sup1 = hlc3_pivot * 2 - dataframe["high"].shift(1) res2 = hlc3_pivot + (dataframe["high"] - dataframe["low"]).shift() sup2 = hlc3_pivot - (dataframe["high"] - dataframe["low"]).shift() res3 = hlc3_pivot * 2 + (dataframe["high"] - 2 * dataframe["low"]).shift() sup3 = hlc3_pivot * 2 - (2 * dataframe["high"] - dataframe["low"]).shift() elif mode == "fibonacci": res1 = hlc3_pivot + 0.382 * hl_range sup1 = hlc3_pivot - 0.382 * hl_range res2 = hlc3_pivot + 0.618 * hl_range sup2 = hlc3_pivot - 0.618 * hl_range res3 = hlc3_pivot + 1 * hl_range sup3 = hlc3_pivot - 1 * hl_range return hlc3_pivot, res1, res2, res3, sup1, sup2, sup3 def heikin_ashi(dataframe, smooth_inputs=False, smooth_outputs=False, length=10): df = dataframe[["open", "close", "high", "low"]].copy().fillna(0) if smooth_inputs: df["open_s"] = ta.EMA(df["open"], timeframe=length) df["high_s"] = ta.EMA(df["high"], timeframe=length) df["low_s"] = ta.EMA(df["low"], timeframe=length) df["close_s"] = ta.EMA(df["close"], timeframe=length) open_ha = (df["open_s"].shift(1) + df["close_s"].shift(1)) / 2 high_ha = df.loc[:, ["high_s", "open_s", "close_s"]].max(axis=1) low_ha = df.loc[:, ["low_s", "open_s", "close_s"]].min(axis=1) close_ha = (df["open_s"] + df["high_s"] + df["low_s"] + df["close_s"]) / 4 else: open_ha = (df["open"].shift(1) + df["close"].shift(1)) / 2 high_ha = df.loc[:, ["high", "open", "close"]].max(axis=1) low_ha = df.loc[:, ["low", "open", "close"]].min(axis=1) close_ha = (df["open"] + df["high"] + df["low"] + df["close"]) / 4 open_ha = open_ha.fillna(0) high_ha = high_ha.fillna(0) low_ha = low_ha.fillna(0) close_ha = close_ha.fillna(0) if smooth_outputs: open_sha = ta.EMA(open_ha, timeframe=length) high_sha = ta.EMA(high_ha, timeframe=length) low_sha = ta.EMA(low_ha, timeframe=length) close_sha = ta.EMA(close_ha, timeframe=length) return open_sha, close_sha, low_sha else: return open_ha, close_ha, low_ha class Cache: def __init__(self, path): self.path = path self.data = {} self._mtime = None self._previous_data = {} try: self.load() except FileNotFoundError: pass @staticmethod def rapidjson_load_kwargs(): return {"number_mode": rapidjson.NM_NATIVE} @staticmethod def rapidjson_dump_kwargs(): return {"number_mode": rapidjson.NM_NATIVE} def load(self): if not self._mtime or self.path.stat().st_mtime_ns != self._mtime: self._load() def save(self): if self.data != self._previous_data: self._save() def process_loaded_data(self, data): return data def _load(self): # This method only exists to simplify unit testing with self.path.open("r") as rfh: try: data = rapidjson.load(rfh, **self.rapidjson_load_kwargs()) except rapidjson.JSONDecodeError as exc: log.error("Failed to load JSON from %s: %s", self.path, exc) else: self.data = self.process_loaded_data(data) self._previous_data = copy.deepcopy(self.data) self._mtime = self.path.stat().st_mtime_ns def _save(self): # This method only exists to simplify unit testing rapidjson.dump(self.data, self.path.open("w"), **self.rapidjson_dump_kwargs()) self._mtime = self.path.stat().st_mtime self._previous_data = copy.deepcopy(self.data) class HoldsCache(Cache): @staticmethod def rapidjson_load_kwargs(): return { "number_mode": rapidjson.NM_NATIVE, "object_hook": HoldsCache._object_hook, } @staticmethod def rapidjson_dump_kwargs(): return { "number_mode": rapidjson.NM_NATIVE, "mapping_mode": rapidjson.MM_COERCE_KEYS_TO_STRINGS, } def save(self): raise RuntimeError("The holds cache does not allow programatical save") def process_loaded_data(self, data): trade_ids = data.get("trade_ids") trade_pairs = data.get("trade_pairs") if not trade_ids and not trade_pairs: return data open_trades = {} for trade in Trade.get_trades_proxy(is_open=True): open_trades[trade.id] = open_trades[trade.pair] = trade r_trade_ids = {} if trade_ids: if isinstance(trade_ids, dict): # New syntax for trade_id, profit_ratio in trade_ids.items(): if not isinstance(trade_id, int): log.error("The trade_id(%s) defined under 'trade_ids' in %s is not an integer", trade_id, self.path) continue if not isinstance(profit_ratio, float): log.error( "The 'profit_ratio' config value(%s) for trade_id %s in %s is not a float", profit_ratio, trade_id, self.path, ) if trade_id in open_trades: formatted_profit_ratio = f"{profit_ratio * 100}%" log.warning( "The trade %s is configured to HOLD until the profit ratio of %s is met", open_trades[trade_id], formatted_profit_ratio, ) r_trade_ids[trade_id] = profit_ratio else: log.warning( "The trade_id(%s) is no longer open. Please remove it from 'trade_ids' in %s", trade_id, self.path ) else: # Initial Syntax profit_ratio = data.get("profit_ratio") if profit_ratio: if not isinstance(profit_ratio, float): log.error("The 'profit_ratio' config value(%s) in %s is not a float", profit_ratio, self.path) else: profit_ratio = 0.005 formatted_profit_ratio = f"{profit_ratio * 100}%" for trade_id in trade_ids: if not isinstance(trade_id, int): log.error("The trade_id(%s) defined under 'trade_ids' in %s is not an integer", trade_id, self.path) continue if trade_id in open_trades: log.warning( "The trade %s is configured to HOLD until the profit ratio of %s is met", open_trades[trade_id], formatted_profit_ratio, ) r_trade_ids[trade_id] = profit_ratio else: log.warning( "The trade_id(%s) is no longer open. Please remove it from 'trade_ids' in %s", trade_id, self.path ) r_trade_pairs = {} if trade_pairs: for trade_pair, profit_ratio in trade_pairs.items(): if not isinstance(trade_pair, str): log.error("The trade_pair(%s) defined under 'trade_pairs' in %s is not a string", trade_pair, self.path) continue if "/" not in trade_pair: log.error( "The trade_pair(%s) defined under 'trade_pairs' in %s does not look like " "a valid '/' 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