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Add support for filters to new hyperopt-results

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This commit is contained in:
Matthias 2021-05-02 20:07:22 +02:00
parent ef9dd0676c
commit 303895b33e
1 changed files with 51 additions and 20 deletions
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71
freqtrade/commands/hyperopt_commands.py
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@ -139,11 +139,13 @@ def start_hyperopt_show(args: Dict[str, Any]) -> None:
def hyperopt_filter_epochs(epochs: List, filteroptions: dict) -> List: def hyperopt_filter_epochs(epochs: List, filteroptions: dict) -> List:
""" """
Filter our items from the list of hyperopt results Filter our items from the list of hyperopt results
TODO: after 2021.5 remove all "legacy" mode queries.
""" """
if filteroptions['only_best']: if filteroptions['only_best']:
epochs = [x for x in epochs if x['is_best']] epochs = [x for x in epochs if x['is_best']]
if filteroptions['only_profitable']: if filteroptions['only_profitable']:
epochs = [x for x in epochs if x['results_metrics']['profit'] > 0] epochs = [x for x in epochs if x['results_metrics'].get(
'profit', x['results_metrics'].get('profit_total', 0)) > 0]
epochs = _hyperopt_filter_epochs_trade_count(epochs, filteroptions) epochs = _hyperopt_filter_epochs_trade_count(epochs, filteroptions)
@ -160,34 +162,55 @@ def hyperopt_filter_epochs(epochs: List, filteroptions: dict) -> List:
return epochs return epochs
def _hyperopt_filter_epochs_trade(epochs: List, trade_count: int):
"""
Filter epochs with trade-counts > trades
"""
return [
x for x in epochs
if x['results_metrics'].get(
'trade_count', x['results_metrics'].get('total_trades', 0)
) > trade_count
]
def _hyperopt_filter_epochs_trade_count(epochs: List, filteroptions: dict) -> List: def _hyperopt_filter_epochs_trade_count(epochs: List, filteroptions: dict) -> List:
if filteroptions['filter_min_trades'] > 0: if filteroptions['filter_min_trades'] > 0:
epochs = [ epochs = _hyperopt_filter_epochs_trade(epochs, filteroptions['filter_min_trades'])
x for x in epochs
if x['results_metrics']['trade_count'] > filteroptions['filter_min_trades']
]
if filteroptions['filter_max_trades'] > 0: if filteroptions['filter_max_trades'] > 0:
epochs = [ epochs = [
x for x in epochs x for x in epochs
if x['results_metrics']['trade_count'] < filteroptions['filter_max_trades'] if x['results_metrics'].get(
'trade_count', x['results_metrics'].get('total_trades')
) < filteroptions['filter_max_trades']
] ]
return epochs return epochs
def _hyperopt_filter_epochs_duration(epochs: List, filteroptions: dict) -> List: def _hyperopt_filter_epochs_duration(epochs: List, filteroptions: dict) -> List:
def get_duration_value(x):
# Duration in minutes ...
if 'duration' in x['results_metrics']:
return x['results_metrics']['duration']
else:
# New mode
avg = x['results_metrics']['holding_avg']
return avg.total_seconds() // 60
if filteroptions['filter_min_avg_time'] is not None: if filteroptions['filter_min_avg_time'] is not None:
epochs = [x for x in epochs if x['results_metrics']['trade_count'] > 0] epochs = _hyperopt_filter_epochs_trade(epochs, 0)
epochs = [ epochs = [
x for x in epochs x for x in epochs
if x['results_metrics']['duration'] > filteroptions['filter_min_avg_time'] if get_duration_value(x) > filteroptions['filter_min_avg_time']
] ]
if filteroptions['filter_max_avg_time'] is not None: if filteroptions['filter_max_avg_time'] is not None:
epochs = [x for x in epochs if x['results_metrics']['trade_count'] > 0] epochs = _hyperopt_filter_epochs_trade(epochs, 0)
epochs = [ epochs = [
x for x in epochs x for x in epochs
if x['results_metrics']['duration'] < filteroptions['filter_max_avg_time'] if get_duration_value(x) < filteroptions['filter_max_avg_time']
] ]
return epochs return epochs
@ -196,28 +219,36 @@ def _hyperopt_filter_epochs_duration(epochs: List, filteroptions: dict) -> List:
def _hyperopt_filter_epochs_profit(epochs: List, filteroptions: dict) -> List: def _hyperopt_filter_epochs_profit(epochs: List, filteroptions: dict) -> List:
if filteroptions['filter_min_avg_profit'] is not None: if filteroptions['filter_min_avg_profit'] is not None:
epochs = [x for x in epochs if x['results_metrics']['trade_count'] > 0] epochs = _hyperopt_filter_epochs_trade(epochs, 0)
epochs = [ epochs = [
x for x in epochs x for x in epochs
if x['results_metrics']['avg_profit'] > filteroptions['filter_min_avg_profit'] if x['results_metrics'].get(
'avg_profit', x['results_metrics'].get('profit_mean', 0)
) > filteroptions['filter_min_avg_profit']
] ]
if filteroptions['filter_max_avg_profit'] is not None: if filteroptions['filter_max_avg_profit'] is not None:
epochs = [x for x in epochs if x['results_metrics']['trade_count'] > 0] epochs = _hyperopt_filter_epochs_trade(epochs, 0)
epochs = [ epochs = [
x for x in epochs x for x in epochs
if x['results_metrics']['avg_profit'] < filteroptions['filter_max_avg_profit'] if x['results_metrics'].get(
'avg_profit', x['results_metrics'].get('profit_mean', 0)
) < filteroptions['filter_max_avg_profit']
] ]
if filteroptions['filter_min_total_profit'] is not None: if filteroptions['filter_min_total_profit'] is not None:
epochs = [x for x in epochs if x['results_metrics']['trade_count'] > 0] epochs = _hyperopt_filter_epochs_trade(epochs, 0)
epochs = [ epochs = [
x for x in epochs x for x in epochs
if x['results_metrics']['profit'] > filteroptions['filter_min_total_profit'] if x['results_metrics'].get(
'profit', x['results_metrics'].get('profit_total', 0)
) > filteroptions['filter_min_total_profit']
] ]
if filteroptions['filter_max_total_profit'] is not None: if filteroptions['filter_max_total_profit'] is not None:
epochs = [x for x in epochs if x['results_metrics']['trade_count'] > 0] epochs = _hyperopt_filter_epochs_trade(epochs, 0)
epochs = [ epochs = [
x for x in epochs x for x in epochs
if x['results_metrics']['profit'] < filteroptions['filter_max_total_profit'] if x['results_metrics'].get(
'profit', x['results_metrics'].get('profit_total', 0)
) < filteroptions['filter_max_total_profit']
] ]
return epochs return epochs
@ -225,11 +256,11 @@ def _hyperopt_filter_epochs_profit(epochs: List, filteroptions: dict) -> List:
def _hyperopt_filter_epochs_objective(epochs: List, filteroptions: dict) -> List: def _hyperopt_filter_epochs_objective(epochs: List, filteroptions: dict) -> List:
if filteroptions['filter_min_objective'] is not None: if filteroptions['filter_min_objective'] is not None:
epochs = [x for x in epochs if x['results_metrics']['trade_count'] > 0] epochs = _hyperopt_filter_epochs_trade(epochs, 0)
epochs = [x for x in epochs if x['loss'] < filteroptions['filter_min_objective']] epochs = [x for x in epochs if x['loss'] < filteroptions['filter_min_objective']]
if filteroptions['filter_max_objective'] is not None: if filteroptions['filter_max_objective'] is not None:
epochs = [x for x in epochs if x['results_metrics']['trade_count'] > 0] epochs = _hyperopt_filter_epochs_trade(epochs, 0)
epochs = [x for x in epochs if x['loss'] > filteroptions['filter_max_objective']] epochs = [x for x in epochs if x['loss'] > filteroptions['filter_max_objective']]