Ensure the same timestamp is used for backtest and signal export
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01a68e1060
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@ -1264,13 +1264,14 @@ class Backtesting:
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self.results['strategy_comparison'].extend(results['strategy_comparison'])
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else:
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self.results = results
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dt_appendix = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
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if self.config.get('export', 'none') in ('trades', 'signals'):
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store_backtest_stats(self.config['exportfilename'], self.results)
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store_backtest_stats(self.config['exportfilename'], self.results, dt_appendix)
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if (self.config.get('export', 'none') == 'signals' and
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self.dataprovider.runmode == RunMode.BACKTEST):
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store_backtest_signal_candles(self.config['exportfilename'], self.processed_dfs)
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store_backtest_signal_candles(
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self.config['exportfilename'], self.processed_dfs, dt_appendix)
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# Results may be mixed up now. Sort them so they follow --strategy-list order.
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if 'strategy_list' in self.config and len(self.results) > 0:
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@ -17,21 +17,21 @@ from freqtrade.optimize.backtest_caching import get_backtest_metadata_filename
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logger = logging.getLogger(__name__)
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def store_backtest_stats(recordfilename: Path, stats: Dict[str, DataFrame]) -> None:
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def store_backtest_stats(
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recordfilename: Path, stats: Dict[str, DataFrame], dtappendix: str) -> None:
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"""
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Stores backtest results
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:param recordfilename: Path object, which can either be a filename or a directory.
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Filenames will be appended with a timestamp right before the suffix
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while for directories, <directory>/backtest-result-<datetime>.json will be used as filename
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:param stats: Dataframe containing the backtesting statistics
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:param dtappendix: Datetime to use for the filename
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"""
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if recordfilename.is_dir():
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filename = (recordfilename /
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f'backtest-result-{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}.json')
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filename = (recordfilename / f'backtest-result-{dtappendix}.json')
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else:
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filename = Path.joinpath(
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recordfilename.parent,
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f'{recordfilename.stem}-{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}'
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recordfilename.parent, f'{recordfilename.stem}-{dtappendix}'
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).with_suffix(recordfilename.suffix)
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# Store metadata separately.
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@ -44,7 +44,8 @@ def store_backtest_stats(recordfilename: Path, stats: Dict[str, DataFrame]) -> N
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file_dump_json(latest_filename, {'latest_backtest': str(filename.name)})
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def store_backtest_signal_candles(recordfilename: Path, candles: Dict[str, Dict]) -> Path:
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def store_backtest_signal_candles(
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recordfilename: Path, candles: Dict[str, Dict], dtappendix: str) -> Path:
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"""
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Stores backtest trade signal candles
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:param recordfilename: Path object, which can either be a filename or a directory.
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@ -52,14 +53,13 @@ def store_backtest_signal_candles(recordfilename: Path, candles: Dict[str, Dict]
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while for directories, <directory>/backtest-result-<datetime>_signals.pkl will be used
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as filename
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:param stats: Dict containing the backtesting signal candles
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:param dtappendix: Datetime to use for the filename
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"""
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if recordfilename.is_dir():
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filename = (recordfilename /
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f'backtest-result-{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}_signals.pkl')
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filename = (recordfilename / f'backtest-result-{dtappendix}_signals.pkl')
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else:
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filename = Path.joinpath(
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recordfilename.parent,
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f'{recordfilename.stem}-{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}_signals.pkl'
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recordfilename.parent, f'{recordfilename.stem}-{dtappendix}_signals.pkl'
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)
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file_dump_joblib(filename, candles)
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@ -1,6 +1,7 @@
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import asyncio
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import logging
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from copy import deepcopy
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from datetime import datetime
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from typing import Any, Dict, List
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from fastapi import APIRouter, BackgroundTasks, Depends
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@ -102,7 +103,10 @@ async def api_start_backtest(bt_settings: BacktestRequest, background_tasks: Bac
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min_date=min_date, max_date=max_date)
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if btconfig.get('export', 'none') == 'trades':
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store_backtest_stats(btconfig['exportfilename'], ApiServer._bt.results)
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store_backtest_stats(
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btconfig['exportfilename'], ApiServer._bt.results,
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datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
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)
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logger.info("Backtest finished.")
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@ -171,7 +171,7 @@ def test_generate_backtest_stats(default_conf, testdatadir, tmpdir):
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_backup_file(filename_last, copy_file=True)
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assert not filename.is_file()
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store_backtest_stats(filename, stats)
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store_backtest_stats(filename, stats, '2022_01_01_15_05_13')
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# get real Filename (it's btresult-<date>.json)
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last_fn = get_latest_backtest_filename(filename_last.parent)
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@ -194,7 +194,7 @@ def test_store_backtest_stats(testdatadir, mocker):
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dump_mock = mocker.patch('freqtrade.optimize.optimize_reports.file_dump_json')
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store_backtest_stats(testdatadir, {'metadata': {}})
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store_backtest_stats(testdatadir, {'metadata': {}}, '2022_01_01_15_05_13')
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assert dump_mock.call_count == 3
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assert isinstance(dump_mock.call_args_list[0][0][0], Path)
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@ -202,7 +202,7 @@ def test_store_backtest_stats(testdatadir, mocker):
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dump_mock.reset_mock()
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filename = testdatadir / 'testresult.json'
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store_backtest_stats(filename, {'metadata': {}})
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store_backtest_stats(filename, {'metadata': {}}, '2022_01_01_15_05_13')
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assert dump_mock.call_count == 3
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assert isinstance(dump_mock.call_args_list[0][0][0], Path)
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# result will be testdatadir / testresult-<timestamp>.json
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@ -216,7 +216,7 @@ def test_store_backtest_candles(testdatadir, mocker):
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candle_dict = {'DefStrat': {'UNITTEST/BTC': pd.DataFrame()}}
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# mock directory exporting
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store_backtest_signal_candles(testdatadir, candle_dict)
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store_backtest_signal_candles(testdatadir, candle_dict, '2022_01_01_15_05_13')
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assert dump_mock.call_count == 1
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assert isinstance(dump_mock.call_args_list[0][0][0], Path)
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@ -225,7 +225,7 @@ def test_store_backtest_candles(testdatadir, mocker):
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dump_mock.reset_mock()
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# mock file exporting
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filename = Path(testdatadir / 'testresult')
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store_backtest_signal_candles(filename, candle_dict)
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store_backtest_signal_candles(filename, candle_dict, '2022_01_01_15_05_13')
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assert dump_mock.call_count == 1
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assert isinstance(dump_mock.call_args_list[0][0][0], Path)
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# result will be testdatadir / testresult-<timestamp>_signals.pkl
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@ -238,7 +238,7 @@ def test_write_read_backtest_candles(tmpdir):
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candle_dict = {'DefStrat': {'UNITTEST/BTC': pd.DataFrame()}}
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# test directory exporting
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stored_file = store_backtest_signal_candles(Path(tmpdir), candle_dict)
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stored_file = store_backtest_signal_candles(Path(tmpdir), candle_dict, '2022_01_01_15_05_13')
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scp = open(stored_file, "rb")
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pickled_signal_candles = joblib.load(scp)
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scp.close()
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@ -252,7 +252,7 @@ def test_write_read_backtest_candles(tmpdir):
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# test file exporting
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filename = Path(tmpdir / 'testresult')
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stored_file = store_backtest_signal_candles(filename, candle_dict)
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stored_file = store_backtest_signal_candles(filename, candle_dict, '2022_01_01_15_05_13')
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scp = open(stored_file, "rb")
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pickled_signal_candles = joblib.load(scp)
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scp.close()
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