diff --git a/freqtrade/optimize/hyperopt_loss/hyperopt_loss_multi_metric.py b/freqtrade/optimize/hyperopt_loss/hyperopt_loss_multi_metric.py
index 110edc78f..d4a399711 100644
--- a/freqtrade/optimize/hyperopt_loss/hyperopt_loss_multi_metric.py
+++ b/freqtrade/optimize/hyperopt_loss/hyperopt_loss_multi_metric.py
@@ -19,14 +19,15 @@ Possible to change:
 
 from datetime import datetime
 from typing import Any, Dict
-import numpy as np
 
+import numpy as np
 from pandas import DataFrame
 
 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
 
+
 # smaller numbers penalize drawdowns more severely
 DRAWDOWN_MULT = 0.055
 # A very large number to use as a replacement for infinity
@@ -44,7 +45,6 @@ WINRATE_CONST = 1.2
 class MultiMetricHyperOptLoss(IHyperOptLoss):
     @staticmethod
     def hyperopt_loss_function(
-        *,
         results: DataFrame,
         trade_count: int,
         min_date: datetime,
@@ -99,4 +99,4 @@ class MultiMetricHyperOptLoss(IHyperOptLoss):
             * log_expectancy_ratio
             * log_winrate_coef
             * trade_count_penalty
-        )
\ No newline at end of file
+        )