Provide full backtest-statistics to Hyperopt loss functions

closes #5223

freqtrade/optimize/hyperopt.py

@@ -324,7 +324,8 @@ class Hyperopt:
             loss = self.calculate_loss(results=backtesting_results['results'],
                                        trade_count=trade_count,
                                        min_date=min_date, max_date=max_date,
-                                       config=self.config, processed=processed)
+                                       config=self.config, processed=processed,
+                                       backtest_stats=strat_stats)
         return {
             'loss': loss,
             'params_dict': params_dict,

freqtrade/optimize/hyperopt_loss_interface.py

@@ -5,7 +5,7 @@ This module defines the interface for the loss-function for hyperopt
 
 from abc import ABC, abstractmethod
 from datetime import datetime
-from typing import Dict
+from typing import Any, Dict
 
 from pandas import DataFrame
 
@@ -22,6 +22,7 @@ class IHyperOptLoss(ABC):
     def hyperopt_loss_function(results: DataFrame, trade_count: int,
                                min_date: datetime, max_date: datetime,
                                config: Dict, processed: Dict[str, DataFrame],
+                               backtest_stats: Dict[str, Any],
                                *args, **kwargs) -> float:
         """
         Objective function, returns smaller number for better results