Rename hyperopt interface and resolver

freqtrade/optimize/hyperopt_interface.py

@@ -0,0 +1,59 @@
+"""
+IHyperOpt interface
+This module defines the interface to apply for hyperopts
+"""
+
+from abc import ABC, abstractmethod
+from typing import Dict, Any, Callable
+
+from pandas import DataFrame
+
+
+class IHyperOpt(ABC):
+    """
+    Interface for freqtrade hyperopts
+    Defines the mandatory structure must follow any custom strategies
+
+    Attributes you can use:
+        minimal_roi -> Dict: Minimal ROI designed for the strategy
+        stoploss -> float: optimal stoploss designed for the strategy
+        ticker_interval -> int: value of the ticker interval to use for the strategy
+    """
+
+    @abstractmethod
+    def populate_indicators(self, dataframe: DataFrame) -> 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
+        """
+
+    @abstractmethod
+    def buy_strategy_generator(self, params: Dict[str, Any]) -> Callable:
+        """
+        Create a buy strategy generator
+        """
+
+    @abstractmethod
+    def indicator_space(self) -> Dict[str, Any]:
+        """
+        Create an indicator space
+        """
+
+    @abstractmethod
+    def generate_roi_table(self, params: Dict) -> Dict[int, float]:
+        """
+        Create an roi table
+        """
+
+    @abstractmethod
+    def stoploss_space(self) -> Dict[str, Any]:
+        """
+        Create a stoploss space
+        """
+
+    @abstractmethod
+    def roi_space(self) -> Dict[str, Any]:
+        """
+        Create a roi space
+        """