Merge pull request #7370 from wizrds/feat/suffix-merge-informative

Add optional `suffix` parameter to `merge_informative_pair`

freqtrade/strategy/strategy_helper.py

@@ -1,3 +1,5 @@
+from typing import Optional
+
 import pandas as pd
 
 from freqtrade.exchange import timeframe_to_minutes
@@ -6,7 +8,8 @@ from freqtrade.exchange import timeframe_to_minutes
 def merge_informative_pair(dataframe: pd.DataFrame, informative: pd.DataFrame,
                            timeframe: str, timeframe_inf: str, ffill: bool = True,
                            append_timeframe: bool = True,
-                           date_column: str = 'date') -> pd.DataFrame:
+                           date_column: str = 'date',
+                           suffix: Optional[str] = None) -> pd.DataFrame:
     """
     Correctly merge informative samples to the original dataframe, avoiding lookahead bias.
 
@@ -28,6 +31,8 @@ def merge_informative_pair(dataframe: pd.DataFrame, informative: pd.DataFrame,
     :param ffill: Forwardfill missing values - optional but usually required
     :param append_timeframe: Rename columns by appending timeframe.
     :param date_column: A custom date column name.
+    :param suffix: A string suffix to add at the end of the informative columns. If specified,
+                   append_timeframe must be false.
     :return: Merged dataframe
     :raise: ValueError if the secondary timeframe is shorter than the dataframe timeframe
     """
@@ -50,10 +55,16 @@ def merge_informative_pair(dataframe: pd.DataFrame, informative: pd.DataFrame,
 
     # Rename columns to be unique
     date_merge = 'date_merge'
-    if append_timeframe:
+    if suffix and append_timeframe:
+        raise ValueError("You can not specify `append_timeframe` as True and a `suffix`.")
+    elif append_timeframe:
         date_merge = f'date_merge_{timeframe_inf}'
         informative.columns = [f"{col}_{timeframe_inf}" for col in informative.columns]
 
+    elif suffix:
+        date_merge = f'date_merge_{suffix}'
+        informative.columns = [f"{col}_{suffix}" for col in informative.columns]
+
     # Combine the 2 dataframes
     # all indicators on the informative sample MUST be calculated before this point
     if ffill: