Merge pull request #2828 from yazeed/line_alignment_fixes
fixed some more line alignments
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commit
19d4e1435c
@ -59,6 +59,7 @@ class Hyperopt:
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hyperopt = Hyperopt(config)
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hyperopt = Hyperopt(config)
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hyperopt.start()
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hyperopt.start()
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"""
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"""
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def __init__(self, config: Dict[str, Any]) -> None:
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def __init__(self, config: Dict[str, Any]) -> None:
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self.config = config
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self.config = config
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@ -90,13 +91,13 @@ class Hyperopt:
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# Populate functions here (hasattr is slow so should not be run during "regular" operations)
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# Populate functions here (hasattr is slow so should not be run during "regular" operations)
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if hasattr(self.custom_hyperopt, 'populate_indicators'):
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if hasattr(self.custom_hyperopt, 'populate_indicators'):
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self.backtesting.strategy.advise_indicators = \
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self.backtesting.strategy.advise_indicators = \
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self.custom_hyperopt.populate_indicators # type: ignore
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self.custom_hyperopt.populate_indicators # type: ignore
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if hasattr(self.custom_hyperopt, 'populate_buy_trend'):
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if hasattr(self.custom_hyperopt, 'populate_buy_trend'):
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self.backtesting.strategy.advise_buy = \
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self.backtesting.strategy.advise_buy = \
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self.custom_hyperopt.populate_buy_trend # type: ignore
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self.custom_hyperopt.populate_buy_trend # type: ignore
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if hasattr(self.custom_hyperopt, 'populate_sell_trend'):
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if hasattr(self.custom_hyperopt, 'populate_sell_trend'):
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self.backtesting.strategy.advise_sell = \
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self.backtesting.strategy.advise_sell = \
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self.custom_hyperopt.populate_sell_trend # type: ignore
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self.custom_hyperopt.populate_sell_trend # type: ignore
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# Use max_open_trades for hyperopt as well, except --disable-max-market-positions is set
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# Use max_open_trades for hyperopt as well, except --disable-max-market-positions is set
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if self.config.get('use_max_market_positions', True):
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if self.config.get('use_max_market_positions', True):
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@ -345,15 +346,15 @@ class Hyperopt:
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if self.has_space('roi'):
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if self.has_space('roi'):
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self.backtesting.strategy.minimal_roi = \
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self.backtesting.strategy.minimal_roi = \
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self.custom_hyperopt.generate_roi_table(params_dict)
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self.custom_hyperopt.generate_roi_table(params_dict)
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if self.has_space('buy'):
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if self.has_space('buy'):
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self.backtesting.strategy.advise_buy = \
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self.backtesting.strategy.advise_buy = \
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self.custom_hyperopt.buy_strategy_generator(params_dict)
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self.custom_hyperopt.buy_strategy_generator(params_dict)
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if self.has_space('sell'):
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if self.has_space('sell'):
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self.backtesting.strategy.advise_sell = \
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self.backtesting.strategy.advise_sell = \
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self.custom_hyperopt.sell_strategy_generator(params_dict)
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self.custom_hyperopt.sell_strategy_generator(params_dict)
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if self.has_space('stoploss'):
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if self.has_space('stoploss'):
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self.backtesting.strategy.stoploss = params_dict['stoploss']
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self.backtesting.strategy.stoploss = params_dict['stoploss']
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@ -372,12 +373,12 @@ class Hyperopt:
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min_date, max_date = get_timerange(processed)
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min_date, max_date = get_timerange(processed)
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backtesting_results = self.backtesting.backtest(
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backtesting_results = self.backtesting.backtest(
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processed=processed,
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processed=processed,
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stake_amount=self.config['stake_amount'],
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stake_amount=self.config['stake_amount'],
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start_date=min_date,
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start_date=min_date,
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end_date=max_date,
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end_date=max_date,
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max_open_trades=self.max_open_trades,
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max_open_trades=self.max_open_trades,
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position_stacking=self.position_stacking,
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position_stacking=self.position_stacking,
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)
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)
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return self._get_results_dict(backtesting_results, min_date, max_date,
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return self._get_results_dict(backtesting_results, min_date, max_date,
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params_dict, params_details)
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params_dict, params_details)
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@ -469,8 +470,8 @@ class Hyperopt:
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trials = Hyperopt._read_trials(trials_file)
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trials = Hyperopt._read_trials(trials_file)
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if trials[0].get('is_best') is None:
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if trials[0].get('is_best') is None:
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raise OperationalException(
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raise OperationalException(
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"The file with Hyperopt results is incompatible with this version "
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"The file with Hyperopt results is incompatible with this version "
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"of Freqtrade and cannot be loaded.")
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"of Freqtrade and cannot be loaded.")
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logger.info(f"Loaded {len(trials)} previous evaluations from disk.")
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logger.info(f"Loaded {len(trials)} previous evaluations from disk.")
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return trials
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return trials
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