strategy interface: removed some changes

freqtrade/optimize/backtesting.py

@@ -232,10 +232,7 @@ class Backtesting:
                     pair_data.loc[:, 'buy_tag'] = None  # cleanup if buy_tag is exist
 
             df_analyzed = self.strategy.advise_sell(
-                self.strategy.advise_buy(
-                    pair_data,
-                    {'pair': pair}
-                ),
+                self.strategy.advise_buy(pair_data, {'pair': pair}),
                 {'pair': pair}
             ).copy()
             # Trim startup period from analyzed dataframe

freqtrade/optimize/hyperopt.py

@@ -285,13 +285,11 @@ class Hyperopt:
         # Apply parameters
         if HyperoptTools.has_space(self.config, 'buy'):
             self.backtesting.strategy.advise_buy = (  # type: ignore
-                self.custom_hyperopt.buy_strategy_generator(params_dict)
-            )
+                self.custom_hyperopt.buy_strategy_generator(params_dict))
 
         if HyperoptTools.has_space(self.config, 'sell'):
             self.backtesting.strategy.advise_sell = (  # type: ignore
-                self.custom_hyperopt.sell_strategy_generator(params_dict)
-            )
+                self.custom_hyperopt.sell_strategy_generator(params_dict))
 
         if HyperoptTools.has_space(self.config, 'protection'):
             for attr_name, attr in self.backtesting.strategy.enumerate_parameters('protection'):

freqtrade/strategy/strategy_helper.py

@@ -58,10 +58,7 @@ def merge_informative_pair(dataframe: pd.DataFrame, informative: pd.DataFrame,
     return dataframe
 
 
-def stoploss_from_open(
-    open_relative_stop: float,
-    current_profit: float
-) -> float:
+def stoploss_from_open(open_relative_stop: float, current_profit: float) -> float:
     """
 
     Given the current profit, and a desired stop loss value relative to the open price,

freqtrade/templates/sample_hyperopt.py

@@ -46,7 +46,7 @@ class SampleHyperOpt(IHyperOpt):
     """
 
     @staticmethod
-    def buy_indicator_space() -> List[Dimension]:
+    def indicator_space() -> List[Dimension]:
         """
         Define your Hyperopt space for searching buy strategy parameters.
         """