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chore: Fix test failure, sort imports

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Matthias 2024-10-19 13:02:27 +02:00
parent 78bf40eaa9
commit 660af7ec70
1 changed files with 4 additions and 4 deletions
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freqtrade/optimize/hyperopt_loss/hyperopt_loss_multi_metric.py
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@ -19,14 +19,15 @@ Possible to change:
from datetime import datetime from datetime import datetime
from typing import Any, Dict from typing import Any, Dict
import numpy as np
import numpy as np
from pandas import DataFrame from pandas import DataFrame
from freqtrade.constants import Config from freqtrade.constants import Config
from freqtrade.data.metrics import calculate_max_drawdown, calculate_expectancy from freqtrade.data.metrics import calculate_expectancy, calculate_max_drawdown
from freqtrade.optimize.hyperopt import IHyperOptLoss from freqtrade.optimize.hyperopt import IHyperOptLoss
# smaller numbers penalize drawdowns more severely # smaller numbers penalize drawdowns more severely
DRAWDOWN_MULT = 0.055 DRAWDOWN_MULT = 0.055
# A very large number to use as a replacement for infinity # A very large number to use as a replacement for infinity
@ -44,7 +45,6 @@ WINRATE_CONST = 1.2
class MultiMetricHyperOptLoss(IHyperOptLoss): class MultiMetricHyperOptLoss(IHyperOptLoss):
@staticmethod @staticmethod
def hyperopt_loss_function( def hyperopt_loss_function(
*,
results: DataFrame, results: DataFrame,
trade_count: int, trade_count: int,
min_date: datetime, min_date: datetime,
@ -99,4 +99,4 @@ class MultiMetricHyperOptLoss(IHyperOptLoss):
* log_expectancy_ratio * log_expectancy_ratio
* log_winrate_coef * log_winrate_coef
* trade_count_penalty * trade_count_penalty
) )