# source: https://raw.githubusercontent.com/remiotore/freqtrade/44beaeb6a420cd8e9f2e4ea93e11d6cfa192ee03/strategies/ADXStochastic.py import numpy as np import pandas as pd from pandas import DataFrame from datetime import datetime from typing import Optional, Union from freqtrade.strategy import (BooleanParameter, CategoricalParameter, DecimalParameter, IntParameter, IStrategy, merge_informative_pair) import talib.abstract as ta import pandas_ta as pta from technical import qtpylib """ Recursive analysis in freqtrade aims to validate trading strategies for inaccuracies due to recursive issues with certain indicators, ensuring reliable performance in both backtesting and live trading environments. For more information, visit: https://www.freqtrade.io/en/stable/recursive-analysis/#recursive-analysis-command-reference Command: freqtrade recursive-analysis -i 5m -s Github_remiotore_freqtrade__ADXStochastic__20260111_210550 -c user_data/config_bybit_futures_20.json --startup-candle 50 100 150 250 300 --timerange 20231010-20240410 | indicators | 50 | 100 | 150 | 250 | 300 | |--------------+--------+--------+--------+---------+--------| | adx | 9.646% | 1.133% | 0.004% | -0.000% | 0.000% | | slowd | 0.000% | 0.000% | 0.000% | 0.000% | 0.000% | | slowk | 0.000% | 0.000% | 0.000% | 0.000% | 0.000% | """ """ Command: freqtrade hyperopt -i 5m -s Github_remiotore_freqtrade__ADXStochastic__20260111_210550 -c user_data/config_bybit_futures_20.json --hyperopt-loss SharpeHyperOptLossDaily -e 86 --spaces roi stoploss buy sell --timerange 20231010-20240210 --job-workers 9 --random-state 9319 --strategy-path user_data/strategies """ """ Command: freqtrade backtesting --strategy Github_remiotore_freqtrade__ADXStochastic__20260111_210550 --timeframe 5m --timeframe-detail 1m --timerange 20231010-20240410 --max-open-trades 5 --config user_data/config_bybit_futures_20.json --breakdown month Result for strategy Github_remiotore_freqtrade__ADXStochastic__20260111_210550 =============================================================== BACKTESTING REPORT ============================================================== | Pair | Entries | Avg Profit % | Cum Profit % | Tot Profit USDT | Tot Profit % | Avg Duration | Win Draw Loss Win% | |-----------------+-----------+----------------+----------------+-------------------+----------------+----------------+-------------------------| | BCH/USDT:USDT | 86 | 2.22 | 190.63 | 6050.577 | 605.06 | 1:13:00 | 62 4 20 72.1 | | ETH/USDT:USDT | 107 | 1.03 | 109.82 | 5765.765 | 576.58 | 1:32:00 | 66 8 33 61.7 | | ETC/USDT:USDT | 74 | 2.59 | 191.89 | 5586.484 | 558.65 | 1:07:00 | 53 5 16 71.6 | | ADA/USDT:USDT | 74 | 3.74 | 276.72 | 5329.806 | 532.98 | 0:56:00 | 56 2 16 75.7 | | UNI/USDT:USDT | 74 | 1.90 | 140.59 | 4781.660 | 478.17 | 1:09:00 | 49 4 21 66.2 | | DOGE/USDT:USDT | 87 | 2.19 | 190.51 | 4136.348 | 413.63 | 1:00:00 | 63 2 22 72.4 | | LTC/USDT:USDT | 69 | 2.08 | 143.85 | 4060.491 | 406.05 | 1:13:00 | 49 4 16 71.0 | | MNT/USDT:USDT | 154 | -0.08 | -11.56 | 3708.978 | 370.90 | 1:33:00 | 84 11 59 54.5 | | LINK/USDT:USDT | 75 | 3.04 | 228.06 | 3682.158 | 368.22 | 1:02:00 | 54 2 19 72.0 | | BTC/USDT:USDT | 124 | 1.39 | 172.43 | 3461.233 | 346.12 | 1:26:00 | 80 6 38 64.5 | | TON/USDT:USDT | 69 | 1.44 | 99.68 | 2710.243 | 271.02 | 1:30:00 | 43 8 18 62.3 | | DOT/USDT:USDT | 72 | 3.07 | 220.86 | 1943.489 | 194.35 | 1:07:00 | 52 3 17 72.2 | | MATIC/USDT:USDT | 73 | 0.39 | 28.46 | 1776.142 | 177.61 | 1:09:00 | 47 5 21 64.4 | | BNB/USDT:USDT | 89 | 1.55 | 137.99 | 1111.481 | 111.15 | 1:17:00 | 61 3 25 68.5 | | AVAX/USDT:USDT | 99 | 1.45 | 143.78 | 993.869 | 99.39 | 0:58:00 | 68 2 29 68.7 | | XRP/USDT:USDT | 103 | 0.81 | 83.46 | 223.725 | 22.37 | 1:20:00 | 64 4 35 62.1 | | ATOM/USDT:USDT | 69 | -0.01 | -0.48 | -485.642 | -48.56 | 1:15:00 | 40 5 24 58.0 | | SOL/USDT:USDT | 74 | 0.71 | 52.52 | -524.553 | -52.46 | 0:54:00 | 48 2 24 64.9 | | NEAR/USDT:USDT | 68 | -0.36 | -24.31 | -1915.271 | -191.53 | 0:47:00 | 42 0 26 61.8 | | TRX/USDT:USDT | 127 | -0.54 | -69.16 | -2798.504 | -279.85 | 2:09:00 | 71 9 47 55.9 | | TOTAL | 1767 | 1.30 | 2305.72 | 49598.481 | 4959.85 | 1:17:00 | 1152 89 526 65.2 | ======================================================= LEFT OPEN TRADES REPORT ======================================================== | Pair | Entries | Avg Profit % | Cum Profit % | Tot Profit USDT | Tot Profit % | Avg Duration | Win Draw Loss Win% | |--------+-----------+----------------+----------------+-------------------+----------------+----------------+-------------------------| | TOTAL | 0 | 0.00 | 0.00 | 0.000 | 0.00 | 0:00 | 0 0 0 0 | =========================================================== ENTER TAG STATS =========================================================== | TAG | Entries | Avg Profit % | Cum Profit % | Tot Profit USDT | Tot Profit % | Avg Duration | Win Draw Loss Win% | |-------+-----------+----------------+----------------+-------------------+----------------+----------------+-------------------------| | TOTAL | 1767 | 1.30 | 2305.72 | 49598.481 | 4959.85 | 1:17:00 | 1152 89 526 65.2 | ===================================================== EXIT REASON STATS ===================================================== | Exit Reason | Exits | Win Draws Loss Win% | Avg Profit % | Cum Profit % | Tot Profit USDT | Tot Profit % | |---------------+---------+--------------------------+----------------+----------------+-------------------+----------------| | roi | 1195 | 1080 89 26 90.4 | 6.25 | 7467.48 | 177106 | 1493.5 | | exit_signal | 323 | 72 0 251 22.3 | -2.46 | -794.3 | -13943.6 | -158.86 | | stop_loss | 249 | 0 0 249 0 | -17.54 | -4367.46 | -113564 | -873.49 | ======================= MONTH BREAKDOWN ======================== | Month | Tot Profit USDT | Wins | Draws | Losses | |------------+-------------------+--------+---------+----------| | 31/10/2023 | 888.297 | 155 | 15 | 66 | | 30/11/2023 | 2354.5 | 205 | 16 | 89 | | 31/12/2023 | 3229.04 | 201 | 19 | 106 | | 31/01/2024 | -170.425 | 193 | 14 | 89 | | 29/02/2024 | 3539.43 | 132 | 16 | 74 | | 31/03/2024 | 28195.4 | 206 | 5 | 81 | | 30/04/2024 | 11562.2 | 60 | 4 | 21 | =================== SUMMARY METRICS ==================== | Metric | Value | |-----------------------------+------------------------| | Backtesting from | 2023-10-10 00:00:00 | | Backtesting to | 2024-04-10 00:00:00 | | Max open trades | 5 | | | | | Total/Daily Avg Trades | 1767 / 9.66 | | Starting balance | 1000 USDT | | Final balance | 50598.481 USDT | | Absolute profit | 49598.481 USDT | | Total profit % | 4959.85% | | CAGR % | 250489.42% | | Sortino | 13.75 | | Sharpe | 15.17 | | Calmar | 1980.19 | | Profit factor | 1.38 | | Expectancy (Ratio) | 28.07 (0.06) | | Trades per day | 9.66 | | Avg. daily profit % | 27.10% | | Avg. stake amount | 2111.598 USDT | | Total trade volume | 3731194.397 USDT | | | | | Best Pair | ADA/USDT:USDT 276.72% | | Worst Pair | TRX/USDT:USDT -69.16% | | Best trade | LINK/USDT:USDT 23.60% | | Worst trade | LINK/USDT:USDT -18.16% | | Best day | 9974.882 USDT | | Worst day | -5523.065 USDT | | Days win/draw/lose | 128 / 1 / 54 | | Avg. Duration Winners | 0:56:00 | | Avg. Duration Loser | 1:51:00 | | Max Consecutive Wins / Loss | 29 / 14 | | Rejected Entry signals | 418 | | Entry/Exit Timeouts | 0 / 0 | | | | | Min balance | 986.084 USDT | | Max balance | 51243.46 USDT | | Max % of account underwater | 37.38% | | Absolute Drawdown (Account) | 26.15% | | Absolute Drawdown | 11985.157 USDT | | Drawdown high | 44833.832 USDT | | Drawdown low | 32848.675 USDT | | Drawdown Start | 2024-03-22 12:35:00 | | Drawdown End | 2024-03-24 00:07:00 | | Market change | 197.15% | ======================================================== Backtested 2023-10-10 00:00:00 -> 2024-04-10 00:00:00 | Max open trades : 5 =========================================================================== STRATEGY SUMMARY =========================================================================== | Strategy | Entries | Avg Profit % | Cum Profit % | Tot Profit USDT | Tot Profit % | Avg Duration | Win Draw Loss Win% | Drawdown | |---------------+-----------+----------------+----------------+-------------------+----------------+----------------+-------------------------+------------------------| | Github_remiotore_freqtrade__ADXStochastic__20260111_210550 | 1767 | 1.30 | 2305.72 | 49598.481 | 4959.85 | 1:17:00 | 1152 89 526 65.2 | 11985.157 USDT 26.15% | ======================================================================================================================================================================== """ """ Command: freqtrade plot-profit -i 5m --timerange 20231010-20240410 --export-filename user_data/backtest_results/backtest-result-2024-05-01_04-57-58.json -c user_data/config_bybit_futures_20.json """ """ Command: freqtrade webserver --config user_data/config_bybit_futures_20.json """ class Github_remiotore_freqtrade__ADXStochastic__20260111_210550(IStrategy): INTERFACE_VERSION = 3 timeframe = '5m' can_short: bool = False minimal_roi = { "60": 0.01, "30": 0.02, "0": 0.04 } stoploss = -0.10 trailing_stop = False process_only_new_candles = True use_exit_signal = True exit_profit_only = False ignore_roi_if_entry_signal = False startup_candle_count: int = 150 buy_adx_threshold = IntParameter(low=45, high=55, default=50, space='buy', optimize=True) buy_stoch_threshold = IntParameter(low=15, high=25, default=20, space='buy', optimize=True) sell_adx_threshold = IntParameter(low=20, high=30, default=25, space='sell', optimize=True) sell_stoch_threshold = IntParameter(low=70, high=80, default=75, space='sell', optimize=True) leverage_level = 9 order_types = { 'entry': 'limit', 'exit': 'limit', 'stoploss': 'market', 'stoploss_on_exchange': False } order_time_in_force = { 'entry': 'GTC', 'exit': 'GTC' } @property def plot_config(self): return { 'main_plot': { }, 'subplots': { "ADX": { 'adx': {'color': 'rgb(255, 82, 82)'}, }, "Stochastic": { 'fastk': {'color': 'rgb(41, 98, 255)'}, 'fastd': {'color': 'rgb(255, 109, 0)'}, } } } def informative_pairs(self): """ Define additional, informative pair/interval combinations to be cached from the exchange. These pair/interval combinations are non-tradeable, unless they are part of the whitelist as well. For more information, please consult the documentation :return: List of tuples in the format (pair, interval) Sample: return [("ETH/USDT", "5m"), ("BTC/USDT", "15m"), ] """ return [] def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: """ Adds several different TA indicators to the given DataFrame Performance Note: For the best performance be frugal on the number of indicators you are using. Let uncomment only the indicator you are using in your strategies or your hyperopt configuration, otherwise you will waste your memory and CPU usage. :param dataframe: Dataframe with data from the exchange :param metadata: Additional information, like the currently traded pair :return: a Dataframe with all mandatory indicators for the strategies """ dataframe['adx'] = ta.ADX(dataframe) stoch_fast = ta.STOCHF(dataframe) dataframe['fastd'] = stoch_fast['fastd'] dataframe['fastk'] = stoch_fast['fastk'] return dataframe def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: """ Based on TA indicators, populates the entry signal for the given dataframe :param dataframe: DataFrame :param metadata: Additional information, like the currently traded pair :return: DataFrame with entry columns populated """ dataframe.loc[ ( (dataframe['adx'] > self.buy_adx_threshold.value) & (dataframe['fastk'].shift(1) < self.buy_stoch_threshold.value) & (dataframe['fastd'].shift(1) < self.buy_stoch_threshold.value) & (qtpylib.crossed_above(dataframe['fastk'], dataframe['fastd'])) & (dataframe['volume'] > 0) # Make sure Volume is not 0 ), 'enter_long'] = 1 return dataframe def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: """ Based on TA indicators, populates the exit signal for the given dataframe :param dataframe: DataFrame :param metadata: Additional information, like the currently traded pair :return: DataFrame with exit columns populated """ dataframe.loc[ ( (dataframe['adx'] < self.sell_adx_threshold.value) & (dataframe['fastk'] > self.sell_stoch_threshold.value) & (dataframe['fastk'] > self.sell_stoch_threshold.value) & (dataframe['volume'] > 0) # Make sure Volume is not 0 ), 'exit_long'] = 1 return dataframe def leverage(self, pair: str, current_time: datetime, current_rate: float, proposed_leverage: float, max_leverage: float, side: str, **kwargs) -> float: return self.leverage_level