From 7d3b80fbde373208cfd340f707ea6fdd0b35b4ce Mon Sep 17 00:00:00 2001
From: zx <54022220+ediziks@users.noreply.github.com>
Date: Sun, 6 Feb 2022 17:13:09 +0100
Subject: [PATCH] isort fix and leftover cleaning

---
 .DS_Store                                       | Bin 0 -> 10244 bytes
 .../optimize/hyperopt_loss_profit_drawdown.py   |   7 ++++---
 2 files changed, 4 insertions(+), 3 deletions(-)
 create mode 100644 .DS_Store

diff --git a/.DS_Store b/.DS_Store
new file mode 100644
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GIT binary patch
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diff --git a/freqtrade/optimize/hyperopt_loss_profit_drawdown.py b/freqtrade/optimize/hyperopt_loss_profit_drawdown.py
index 104bacd2a..6df605c82 100644
--- a/freqtrade/optimize/hyperopt_loss_profit_drawdown.py
+++ b/freqtrade/optimize/hyperopt_loss_profit_drawdown.py
@@ -8,8 +8,10 @@ Possible to change `DRAWDOWN_MULT` to penalize drawdown objective for
 individual needs.
 """
 from pandas import DataFrame
-from freqtrade.optimize.hyperopt import IHyperOptLoss
+
 from freqtrade.data.btanalysis import calculate_max_drawdown
+from freqtrade.optimize.hyperopt import IHyperOptLoss
+
 
 # higher numbers penalize drawdowns more severely
 DRAWDOWN_MULT = 0.075
@@ -20,9 +22,8 @@ class ProfitDrawDownHyperOptLoss(IHyperOptLoss):
     def hyperopt_loss_function(results: DataFrame, trade_count: int, *args, **kwargs) -> float:
         total_profit = results["profit_abs"].sum()
 
-        # from freqtrade.optimize.optimize_reports.generate_strategy_stats()
         try:
-            profit_abs, _, _, _, _ = calculate_max_drawdown(results, value_col="profit_ratio")
+            profit_abs, _, _, _, _ = calculate_max_drawdown(results, value_col="profit_abs")
         except ValueError:
             profit_abs = 0