""" this strat buy deep and sell up and it's not smart sorry u or gain profit or just hodl(when drawdown) i fixed some of false signal, thank EMA(200) when long drawdown, some time u get only exit_profit_offset! Because get false sell signal bellow buy price. but u have no stop-loss and sell only profit Do Backtesting first freqtrade backtesting -s SmartMoneyStrategy --timerange 20210601- -i 1h -p DOT/USDT Lets plot: freqtrade plot-dataframe -s SmartMoneyStrategy --timerange 20210601- -i 1h -p DOT/USDT --indicators1 ema_200 --indicators2 cmf mfi Params hyper-optable, just use class SmartMoneyStrategyHyperopt freqtrade hyperopt --hyperopt-loss SharpeHyperOptLoss --strategy SmartMoneyStrategyHyperopt --spaces buy sell --timerange 20210601- --dry-run-wallet 160 --stake 12 -i 1h -e 1000 """ import numpy import talib.abstract as ta from pandas import DataFrame from technical.indicators import chaikin_money_flow from freqtrade.strategy import (DecimalParameter, IStrategy, IntParameter) class SmartMoneyStrategy(IStrategy): minimal_roi = { "0": 10 } stoploss = -1 timeframe = '1h' exit_profit_only = True exit_profit_offset = 0.01 def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: dataframe['cmf'] = chaikin_money_flow(dataframe, period=20) dataframe['mfi'] = ta.MFI(dataframe) dataframe['ema_200'] = ta.EMA(dataframe, timeperiod=200) return dataframe def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: dataframe.loc[ ( (dataframe['close'] < dataframe['ema_200']) & (dataframe['mfi'] < 35) & (dataframe['cmf'] < -0.07) ), 'buy'] = 1 return dataframe def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: dataframe.loc[ ( (dataframe['close'] > dataframe['ema_200']) & (dataframe['mfi'] > 70) & (dataframe['cmf'] > 0.20) ), 'sell'] = 1 return dataframe