Flake8 compliance and documentation for hyperopt in strategy file

freqtrade/strategy/default_strategy.py

@@ -4,7 +4,7 @@ import talib.abstract as ta
 from pandas import DataFrame
 from typing import Dict, Any, Callable
 import freqtrade.vendor.qtpylib.indicators as qtpylib
-from hyperopt import STATUS_FAIL, STATUS_OK, Trials, fmin, hp, space_eval, tpe
+from hyperopt import hp
 from functools import reduce
 from freqtrade.strategy.interface import IStrategy
 from freqtrade.indicator_helpers import fishers_inverse
@@ -301,7 +301,7 @@ class DefaultStrategy(IStrategy):
                 {'type': 'di_cross'},
             ]),
         }
-    
+
     def buy_strategy_generator(self, params: Dict[str, Any]) -> Callable:
         """
         Define the buy strategy parameters to be used by hyperopt
@@ -374,7 +374,7 @@ class DefaultStrategy(IStrategy):
             return dataframe
 
         return populate_buy_trend
-        
+
     def roi_space(self) -> Dict[str, Any]:
         return {
             'roi_t1': hp.quniform('roi_t1', 10, 120, 20),
@@ -385,8 +385,7 @@ class DefaultStrategy(IStrategy):
             'roi_p3': hp.quniform('roi_p3', 0.01, 0.20, 0.01),
         }
 
-
     def stoploss_space(self) -> Dict[str, Any]:
         return {
             'stoploss': hp.quniform('stoploss', -0.5, -0.02, 0.02),
-        }
+        }

freqtrade/strategy/strategy.py

@@ -185,16 +185,15 @@ class Strategy(object):
         Define your Hyperopt space for searching strategy parameters
         """
         return self.custom_strategy.indicator_space()
-        
+
     def buy_strategy_generator(self, params: Dict[str, Any]) -> Callable:
         """
         Define the buy strategy parameters to be used by hyperopt
         """
         return self.custom_strategy.buy_strategy_generator(params)
-        
+
     def roi_space(self) -> Dict[str, Any]:
         return self.custom_strategy.roi_space()
-        
+
     def stoploss_space(self) -> Dict[str, Any]:
         return self.custom_strategy.stoploss_space()
-