Allow populate-indicators to come from strategy

freqtrade/optimize/hyperopt_interface.py

@@ -5,10 +5,9 @@ This module defines the interface to apply for hyperopts
 import logging
 import math
 
-from abc import ABC, abstractmethod
+from abc import ABC
 from typing import Dict, Any, Callable, List
 
-from pandas import DataFrame
 from skopt.space import Dimension, Integer, Real
 
 from freqtrade import OperationalException
@@ -42,15 +41,6 @@ class IHyperOpt(ABC):
         # Assign ticker_interval to be used in hyperopt
         IHyperOpt.ticker_interval = str(config['ticker_interval'])
 
-    @staticmethod
-    @abstractmethod
-    def populate_indicators(dataframe: DataFrame, metadata: dict) -> DataFrame:
-        """
-        Populate indicators that will be used in the Buy and Sell strategy.
-        :param dataframe: Raw data from the exchange and parsed by parse_ticker_dataframe().
-        :return: A Dataframe with all mandatory indicators for the strategies.
-        """
-
     @staticmethod
     def buy_strategy_generator(params: Dict[str, Any]) -> Callable:
         """

freqtrade/resolvers/hyperopt_resolver.py

@@ -34,6 +34,9 @@ class HyperOptResolver(IResolver):
         self.hyperopt = self._load_hyperopt(hyperopt_name, config,
                                             extra_dir=config.get('hyperopt_path'))
 
+        if not hasattr(self.hyperopt, 'populate_indicators'):
+            logger.warning("Hyperopt class does not provide populate_indicators() method. "
+                           "Using populate_indicators from the strategy.")
         if not hasattr(self.hyperopt, 'populate_buy_trend'):
             logger.warning("Hyperopt class does not provide populate_buy_trend() method. "
                            "Using populate_buy_trend from the strategy.")