diff --git a/freqtrade/optimize/hyperopt_loss/hyperopt_loss_profit_drawdown.py b/freqtrade/optimize/hyperopt_loss/hyperopt_loss_profit_drawdown.py
index ac3f82700..e5ec6075e 100644
--- a/freqtrade/optimize/hyperopt_loss/hyperopt_loss_profit_drawdown.py
+++ b/freqtrade/optimize/hyperopt_loss/hyperopt_loss_profit_drawdown.py
@@ -10,23 +10,26 @@ individual needs.
 
 from pandas import DataFrame
 
+from freqtrade.constants import Config
 from freqtrade.data.metrics import calculate_max_drawdown
 from freqtrade.optimize.hyperopt import IHyperOptLoss
 
 
-# higher numbers penalize drawdowns more severely
+# smaller numbers penalize drawdowns more severely
 DRAWDOWN_MULT = 0.075
 
 
 class ProfitDrawDownHyperOptLoss(IHyperOptLoss):
     @staticmethod
-    def hyperopt_loss_function(results: DataFrame, trade_count: int, *args, **kwargs) -> float:
+    def hyperopt_loss_function(results: DataFrame, config: Config, *args, **kwargs) -> float:
         total_profit = results["profit_abs"].sum()
 
         try:
-            drawdown = calculate_max_drawdown(results, value_col="profit_abs")
+            drawdown = calculate_max_drawdown(
+                results, starting_balance=config["dry_run_wallet"], value_col="profit_abs"
+            )
             relative_account_drawdown = drawdown.relative_account_drawdown
         except ValueError:
             relative_account_drawdown = 0
 
-        return -1 * (total_profit * (1 - relative_account_drawdown * DRAWDOWN_MULT))
+        return -1 * (total_profit - (relative_account_drawdown * total_profit) / DRAWDOWN_MULT)