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Add constant, boolean check, rename option to fit with other x_enable, check that RunMode is BACKTEST
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@ -380,6 +380,7 @@ CONF_SCHEMA = {
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},
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'position_adjustment_enable': {'type': 'boolean'},
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'max_entry_position_adjustment': {'type': ['integer', 'number'], 'minimum': -1},
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'backtest_signal_candle_export_enable': {'type': 'boolean'},
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},
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'definitions': {
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'exchange': {
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@ -19,7 +19,7 @@ from freqtrade.data import history
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from freqtrade.data.btanalysis import find_existing_backtest_stats, trade_list_to_dataframe
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from freqtrade.data.converter import trim_dataframe, trim_dataframes
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from freqtrade.data.dataprovider import DataProvider
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from freqtrade.enums import BacktestState, CandleType, ExitCheckTuple, ExitType, TradingMode
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from freqtrade.enums import BacktestState, CandleType, ExitCheckTuple, ExitType, TradingMode, RunMode
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from freqtrade.exceptions import DependencyException, OperationalException
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from freqtrade.exchange import timeframe_to_minutes, timeframe_to_seconds
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from freqtrade.misc import get_strategy_run_id
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@ -74,7 +74,7 @@ class Backtesting:
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self.strategylist: List[IStrategy] = []
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self.all_results: Dict[str, Dict] = {}
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self.processed_dfs: Dict[str, Dict] = {}
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self._exchange_name = self.config['exchange']['name']
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self.exchange = ExchangeResolver.load_exchange(self._exchange_name, self.config)
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self.dataprovider = DataProvider(self.config, self.exchange)
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@ -129,9 +129,7 @@ class Backtesting:
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self.config['startup_candle_count'] = self.required_startup
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self.exchange.validate_required_startup_candles(self.required_startup, self.timeframe)
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self.enable_backtest_signal_candle_export = False
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if self.config.get('enable_backtest_signal_candle_export', None) is not None:
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self.enable_backtest_signal_candle_export = bool(self.config.get('enable_backtest_signal_candle_export'))
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self.backtest_signal_candle_export_enable = self.config.get('backtest_signal_candle_export_enable', False)
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self.trading_mode: TradingMode = config.get('trading_mode', TradingMode.SPOT)
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# strategies which define "can_short=True" will fail to load in Spot mode.
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@ -1076,7 +1074,7 @@ class Backtesting:
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})
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self.all_results[self.strategy.get_strategy_name()] = results
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if self.enable_backtest_signal_candle_export:
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if self.backtest_signal_candle_export_enable and self.dataprovider.runmode == RunMode.BACKTEST:
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signal_candles_only = {}
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for pair in preprocessed_tmp.keys():
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signal_candles_only_df = DataFrame()
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@ -44,6 +44,25 @@ def store_backtest_stats(recordfilename: Path, stats: Dict[str, DataFrame]) -> N
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latest_filename = Path.joinpath(filename.parent, LAST_BT_RESULT_FN)
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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]) -> None:
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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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Filenames will be appended with a timestamp right before the suffix
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while for directories, <directory>/backtest-result-<datetime>_signals.pkl will be used as filename
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:param stats: Dict containing the backtesting signal candles
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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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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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).with_suffix(recordfilename.suffix)
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with open(filename, 'wb') as f:
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pickle.dump(candles, f)
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def _get_line_floatfmt(stake_currency: str) -> List[str]:
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"""
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