diff --git a/freqtrade/data/btanalysis.py b/freqtrade/data/btanalysis.py
index 799f15011..394c40112 100644
--- a/freqtrade/data/btanalysis.py
+++ b/freqtrade/data/btanalysis.py
@@ -190,21 +190,26 @@ def create_cum_profit(df: pd.DataFrame, trades: pd.DataFrame, col_name: str,
     return df
 
 
-def calculate_max_drawdown(trades: pd.DataFrame) -> Tuple[float, pd.Timestamp, pd.Timestamp]:
+def calculate_max_drawdown(trades: pd.DataFrame, date_col: str = 'close_time',
+                           value_col: str = 'profitperc'
+                           ) -> Tuple[float, pd.Timestamp, pd.Timestamp]:
     """
     Calculate max drawdown and the corresponding close dates
     :param trades: DataFrame containing trades (requires columns close_time and profitperc)
+    :param date_col: Column in DataFrame to use for dates (defaults to 'close_time')
+    :param value_col: Column in DataFrame to use for values (defaults to 'profitperc')
     :return: Tuple (float, highdate, lowdate) with absolute max drawdown, high and low time
     :raise: ValueError if trade-dataframe was found empty.
     """
     if len(trades) == 0:
         raise ValueError("Trade dataframe empty.")
-    profit_results = trades.sort_values('close_time')
+    profit_results = trades.sort_values(date_col)
     max_drawdown_df = pd.DataFrame()
-    max_drawdown_df['cumulative'] = profit_results['profitperc'].cumsum()
+    max_drawdown_df['cumulative'] = profit_results[value_col].cumsum()
     max_drawdown_df['high_value'] = max_drawdown_df['cumulative'].cummax()
     max_drawdown_df['drawdown'] = max_drawdown_df['cumulative'] - max_drawdown_df['high_value']
-    high_date = profit_results.loc[max_drawdown_df['high_value'].idxmax(), 'close_time']
-    low_date = profit_results.loc[max_drawdown_df['drawdown'].idxmin(), 'close_time']
+
+    high_date = profit_results.loc[max_drawdown_df['high_value'].idxmax(), date_col]
+    low_date = profit_results.loc[max_drawdown_df['drawdown'].idxmin(), date_col]
 
     return abs(min(max_drawdown_df['drawdown'])), high_date, low_date