Merge pull request #7795 from froggleston/entry_exit_date_print
Add date selection arguments to backtest-analysis printout
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commit
e6b8cb8ea9
@ -100,3 +100,17 @@ freqtrade backtesting-analysis -c <config.json> --analysis-groups 0 2 --enter-re
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The indicators have to be present in your strategy's main DataFrame (either for your main
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timeframe or for informative timeframes) otherwise they will simply be ignored in the script
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output.
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### Filtering the trade output by date
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To show only trades between dates within your backtested timerange, supply the usual `timerange` option in `YYYYMMDD-[YYYYMMDD]` format:
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```
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--timerange : Timerange to filter output trades, start date inclusive, end date exclusive. e.g. 20220101-20221231
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```
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For example, if your backtest timerange was `20220101-20221231` but you only want to output trades in January:
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```bash
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freqtrade backtesting-analysis -c <config.json> --timerange 20220101-20220201
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```
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@ -722,6 +722,7 @@ usage: freqtrade backtesting-analysis [-h] [-v] [--logfile FILE] [-V]
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[--enter-reason-list ENTER_REASON_LIST [ENTER_REASON_LIST ...]]
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[--exit-reason-list EXIT_REASON_LIST [EXIT_REASON_LIST ...]]
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[--indicator-list INDICATOR_LIST [INDICATOR_LIST ...]]
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[--timerange YYYYMMDD-[YYYYMMDD]]
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optional arguments:
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-h, --help show this help message and exit
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@ -744,6 +745,10 @@ optional arguments:
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--indicator-list INDICATOR_LIST [INDICATOR_LIST ...]
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Comma separated list of indicators to analyse. e.g.
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'close,rsi,bb_lowerband,profit_abs'
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--timerange YYYYMMDD-[YYYYMMDD]
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Timerange to filter trades for analysis,
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start inclusive, end exclusive. e.g.
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20220101-20220201
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Common arguments:
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-v, --verbose Verbose mode (-vv for more, -vvv to get all messages).
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@ -60,10 +60,4 @@ def start_analysis_entries_exits(args: Dict[str, Any]) -> None:
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logger.info('Starting freqtrade in analysis mode')
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process_entry_exit_reasons(config['exportfilename'],
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config['exchange']['pair_whitelist'],
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config['analysis_groups'],
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config['enter_reason_list'],
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config['exit_reason_list'],
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config['indicator_list']
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)
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process_entry_exit_reasons(config)
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@ -106,7 +106,7 @@ ARGS_HYPEROPT_SHOW = ["hyperopt_list_best", "hyperopt_list_profitable", "hyperop
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"disableparamexport", "backtest_breakdown"]
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ARGS_ANALYZE_ENTRIES_EXITS = ["exportfilename", "analysis_groups", "enter_reason_list",
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"exit_reason_list", "indicator_list"]
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"exit_reason_list", "indicator_list", "timerange"]
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NO_CONF_REQURIED = ["convert-data", "convert-trade-data", "download-data", "list-timeframes",
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"list-markets", "list-pairs", "list-strategies", "list-freqaimodels",
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@ -462,6 +462,9 @@ class Configuration:
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self._args_to_config(config, argname='indicator_list',
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logstring='Analysis indicator list: {}')
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self._args_to_config(config, argname='timerange',
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logstring='Filter trades by timerange: {}')
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def _process_runmode(self, config: Config) -> None:
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self._args_to_config(config, argname='dry_run',
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@ -1,11 +1,12 @@
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import logging
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from pathlib import Path
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from typing import List, Optional
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import joblib
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import pandas as pd
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from tabulate import tabulate
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from freqtrade.configuration import TimeRange
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from freqtrade.constants import Config
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from freqtrade.data.btanalysis import (get_latest_backtest_filename, load_backtest_data,
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load_backtest_stats)
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from freqtrade.exceptions import OperationalException
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@ -152,37 +153,55 @@ def _do_group_table_output(bigdf, glist):
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logger.warning("Invalid group mask specified.")
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def _print_results(analysed_trades, stratname, analysis_groups,
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enter_reason_list, exit_reason_list,
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indicator_list, columns=None):
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if columns is None:
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columns = ['pair', 'open_date', 'close_date', 'profit_abs', 'enter_reason', 'exit_reason']
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def _select_rows_within_dates(df, timerange=None, df_date_col: str = 'date'):
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if timerange:
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if timerange.starttype == 'date':
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df = df.loc[(df[df_date_col] >= timerange.startdt)]
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if timerange.stoptype == 'date':
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df = df.loc[(df[df_date_col] < timerange.stopdt)]
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return df
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bigdf = pd.DataFrame()
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for pair, trades in analysed_trades[stratname].items():
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bigdf = pd.concat([bigdf, trades], ignore_index=True)
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if bigdf.shape[0] > 0 and ('enter_reason' in bigdf.columns):
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if analysis_groups:
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_do_group_table_output(bigdf, analysis_groups)
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def _select_rows_by_tags(df, enter_reason_list, exit_reason_list):
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if enter_reason_list and "all" not in enter_reason_list:
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bigdf = bigdf.loc[(bigdf['enter_reason'].isin(enter_reason_list))]
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df = df.loc[(df['enter_reason'].isin(enter_reason_list))]
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if exit_reason_list and "all" not in exit_reason_list:
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bigdf = bigdf.loc[(bigdf['exit_reason'].isin(exit_reason_list))]
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df = df.loc[(df['exit_reason'].isin(exit_reason_list))]
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return df
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def prepare_results(analysed_trades, stratname,
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enter_reason_list, exit_reason_list,
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timerange=None):
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res_df = pd.DataFrame()
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for pair, trades in analysed_trades[stratname].items():
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res_df = pd.concat([res_df, trades], ignore_index=True)
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res_df = _select_rows_within_dates(res_df, timerange)
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if res_df is not None and res_df.shape[0] > 0 and ('enter_reason' in res_df.columns):
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res_df = _select_rows_by_tags(res_df, enter_reason_list, exit_reason_list)
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return res_df
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def print_results(res_df, analysis_groups, indicator_list):
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if res_df.shape[0] > 0:
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if analysis_groups:
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_do_group_table_output(res_df, analysis_groups)
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if "all" in indicator_list:
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print(bigdf)
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print(res_df)
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elif indicator_list is not None:
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available_inds = []
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for ind in indicator_list:
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if ind in bigdf:
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if ind in res_df:
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available_inds.append(ind)
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ilist = ["pair", "enter_reason", "exit_reason"] + available_inds
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_print_table(bigdf[ilist], sortcols=['exit_reason'], show_index=False)
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_print_table(res_df[ilist], sortcols=['exit_reason'], show_index=False)
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else:
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print("\\_ No trades to show")
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print("\\No trades to show")
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def _print_table(df, sortcols=None, show_index=False):
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@ -201,26 +220,33 @@ def _print_table(df, sortcols=None, show_index=False):
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)
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def process_entry_exit_reasons(backtest_dir: Path,
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pairlist: List[str],
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analysis_groups: Optional[List[str]] = ["0", "1", "2"],
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enter_reason_list: Optional[List[str]] = ["all"],
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exit_reason_list: Optional[List[str]] = ["all"],
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indicator_list: Optional[List[str]] = []):
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def process_entry_exit_reasons(config: Config):
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try:
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backtest_stats = load_backtest_stats(backtest_dir)
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analysis_groups = config.get('analysis_groups', [])
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enter_reason_list = config.get('enter_reason_list', ["all"])
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exit_reason_list = config.get('exit_reason_list', ["all"])
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indicator_list = config.get('indicator_list', [])
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timerange = TimeRange.parse_timerange(None if config.get(
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'timerange') is None else str(config.get('timerange')))
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backtest_stats = load_backtest_stats(config['exportfilename'])
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for strategy_name, results in backtest_stats['strategy'].items():
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trades = load_backtest_data(backtest_dir, strategy_name)
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trades = load_backtest_data(config['exportfilename'], strategy_name)
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if not trades.empty:
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signal_candles = _load_signal_candles(backtest_dir)
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analysed_trades_dict = _process_candles_and_indicators(pairlist, strategy_name,
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signal_candles = _load_signal_candles(config['exportfilename'])
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analysed_trades_dict = _process_candles_and_indicators(
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config['exchange']['pair_whitelist'], strategy_name,
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trades, signal_candles)
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_print_results(analysed_trades_dict,
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strategy_name,
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res_df = prepare_results(analysed_trades_dict, strategy_name,
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enter_reason_list, exit_reason_list,
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timerange=timerange)
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print_results(res_df,
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analysis_groups,
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enter_reason_list,
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exit_reason_list,
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indicator_list)
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except ValueError as e:
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@ -189,3 +189,10 @@ def test_backtest_analysis_nomock(default_conf, mocker, caplog, testdatadir, tmp
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assert '0.5' in captured.out
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assert '1' in captured.out
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assert '2.5' in captured.out
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# test date filtering
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args = get_args(base_args + ['--timerange', "20180129-20180130"])
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start_analysis_entries_exits(args)
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captured = capsys.readouterr()
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assert 'enter_tag_long_a' in captured.out
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assert 'enter_tag_long_b' not in captured.out
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