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docs: improve readability of hyperopt-loss sample

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Matthias 2024-08-15 06:50:04 +02:00
parent 59c897b53e
commit d9f6f0847d
1 changed files with 11 additions and 5 deletions
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16
docs/advanced-hyperopt.md
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@ -30,11 +30,17 @@ class SuperDuperHyperOptLoss(IHyperOptLoss):
"""
@staticmethod
def hyperopt_loss_function(results: DataFrame, trade_count: int,
min_date: datetime, max_date: datetime,
config: Config, processed: Dict[str, DataFrame],
backtest_stats: Dict[str, Any],
*args, **kwargs) -> float:
def hyperopt_loss_function(
*,
results: DataFrame,
trade_count: int,
min_date: datetime,
max_date: datetime,
config: Config,
processed: Dict[str, DataFrame],
backtest_stats: Dict[str, Any],
**kwargs,
) -> float:
"""
Objective function, returns smaller number for better results
This is the legacy algorithm (used until now in freqtrade).