Adjust documentation for new parameter in loss functions

freqtrade/optimize/hyperopt.py

@@ -550,7 +550,7 @@ class Hyperopt:
                                       processed=processed)
 
     def _get_results_dict(self, backtesting_results, min_date, max_date,
-                          params_dict, params_details, processed: Dict):
+                          params_dict, params_details, processed: Dict[str, DataFrame]):
         results_metrics = self._calculate_results_metrics(backtesting_results)
         results_explanation = self._format_results_explanation_string(results_metrics)
 

freqtrade/templates/sample_hyperopt_loss.py

@@ -1,5 +1,6 @@
 from datetime import datetime
 from math import exp
+from typing import Dict
 
 from pandas import DataFrame
 
@@ -35,6 +36,7 @@ class SampleHyperOptLoss(IHyperOptLoss):
     @staticmethod
     def hyperopt_loss_function(results: DataFrame, trade_count: int,
                                min_date: datetime, max_date: datetime,
+                               processed: Dict[str, DataFrame],
                                *args, **kwargs) -> float:
         """
         Objective function, returns smaller number for better results