Changed max_open_trades type to int or inf
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@@ -1237,8 +1237,8 @@ class Backtesting:
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if not self.config.get('use_max_market_positions', True):
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logger.info(
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'Ignoring max_open_trades (--disable-max-market-positions was used) ...')
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self.strategy.max_open_trades = -1
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self.config.update({'max_open_trades': float('inf')})
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self.strategy.max_open_trades = float('inf')
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self.config.update({'max_open_trades': self.strategy.max_open_trades})
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# need to reprocess data every time to populate signals
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preprocessed = self.strategy.advise_all_indicators(data)
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@@ -120,8 +120,8 @@ class Hyperopt:
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# Use max_open_trades for hyperopt as well, except --disable-max-market-positions is set
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if not self.config.get('use_max_market_positions', True):
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logger.debug('Ignoring max_open_trades (--disable-max-market-positions was used) ...')
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self.backtesting.strategy.max_open_trades = -1
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config.update({'max_open_trades': float('inf')})
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self.backtesting.strategy.max_open_trades = float('inf')
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config.update({'max_open_trades': self.backtesting.strategy.max_open_trades})
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if HyperoptTools.has_space(self.config, 'sell'):
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# Make sure use_exit_signal is enabled
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@@ -211,7 +211,8 @@ class Hyperopt:
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result['trailing'] = self.custom_hyperopt.generate_trailing_params(params)
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if HyperoptTools.has_space(self.config, 'trades'):
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result['max_open_trades'] = {
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'max_open_trades': self.backtesting.strategy.max_open_trades}
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'max_open_trades': self.backtesting.strategy.max_open_trades
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if self.backtesting.strategy.max_open_trades != float('inf') else -1}
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return result
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@@ -344,16 +345,13 @@ class Hyperopt:
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# Ignore unlimited max open trades if stake amount is unlimited
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params_dict.update({'max_open_trades': self.config['max_open_trades']})
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updated_config_max_open_trades = int(params_dict['max_open_trades']) \
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updated_max_open_trades = int(params_dict['max_open_trades']) \
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if (params_dict['max_open_trades'] != -1
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and params_dict['max_open_trades'] != 0) else float('inf')
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updated_strategy_max_open_trades = int(updated_config_max_open_trades) \
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if updated_config_max_open_trades != float('inf') else -1
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self.config.update({'max_open_trades': updated_max_open_trades})
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self.config.update({'max_open_trades': updated_config_max_open_trades})
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self.backtesting.strategy.max_open_trades = updated_strategy_max_open_trades
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self.backtesting.strategy.max_open_trades = updated_max_open_trades
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with self.data_pickle_file.open('rb') as f:
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processed = load(f, mmap_mode='r')
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@@ -8,7 +8,7 @@ from pandas import DataFrame, to_datetime
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from tabulate import tabulate
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from freqtrade.constants import (DATETIME_PRINT_FORMAT, LAST_BT_RESULT_FN, UNLIMITED_STAKE_AMOUNT,
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Config)
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Config, IntOrInf)
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from freqtrade.data.metrics import (calculate_cagr, calculate_calmar, calculate_csum,
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calculate_expectancy, calculate_market_change,
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calculate_max_drawdown, calculate_sharpe, calculate_sortino)
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@@ -191,7 +191,7 @@ def generate_tag_metrics(tag_type: str,
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return []
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def generate_exit_reason_stats(max_open_trades: int, results: DataFrame) -> List[Dict]:
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def generate_exit_reason_stats(max_open_trades: IntOrInf, results: DataFrame) -> List[Dict]:
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"""
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Generate small table outlining Backtest results
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:param max_open_trades: Max_open_trades parameter
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