diff --git a/freqtrade/optimize/hyperopt_loss_max_drawdown.py b/freqtrade/optimize/hyperopt_loss_max_drawdown.py
index e6f73e04a..4fa32c00e 100644
--- a/freqtrade/optimize/hyperopt_loss_max_drawdown.py
+++ b/freqtrade/optimize/hyperopt_loss_max_drawdown.py
@@ -5,11 +5,12 @@ This module defines the alternative HyperOptLoss class which can be used for
 Hyperoptimization.
 """
 from datetime import datetime
-from freqtrade.data.btanalysis import calculate_max_drawdown
-from freqtrade.optimize.hyperopt import IHyperOptLoss
 
 from pandas import DataFrame
 
+from freqtrade.data.btanalysis import calculate_max_drawdown
+from freqtrade.optimize.hyperopt import IHyperOptLoss
+
 
 class MaxDrawDownHyperOptLoss(IHyperOptLoss):
 
@@ -31,7 +32,7 @@ class MaxDrawDownHyperOptLoss(IHyperOptLoss):
         Uses profit ratio weighted max_drawdown when drawdown is available.
         Otherwise directly optimizes profit ratio.
         """
-        total_profit = results['profit_ratio'].sum()        
+        total_profit = results['profit_ratio'].sum()
         try:
             max_drawdown = calculate_max_drawdown(results)
         except ValueError:
@@ -39,4 +40,4 @@ class MaxDrawDownHyperOptLoss(IHyperOptLoss):
             return -total_profit
         max_drawdown_rev = 1 / max_drawdown[0]
         ret = max_drawdown_rev * total_profit
-        return -ret
\ No newline at end of file
+        return -ret