diff --git a/docs/hyperopt.md b/docs/hyperopt.md
index bab062fad..030d73f4b 100644
--- a/docs/hyperopt.md
+++ b/docs/hyperopt.md
@@ -566,7 +566,7 @@ Currently, the following loss functions are builtin:
 * `SortinoHyperOptLoss` - optimizes Sortino Ratio calculated on trade returns relative to **downside** standard deviation.
 * `SortinoHyperOptLossDaily` - optimizes Sortino Ratio calculated on **daily** trade returns relative to **downside** standard deviation.
 * `MaxDrawDownHyperOptLoss` - Optimizes Maximum absolute drawdown.
-* `MaxDrawDownRelativeHyperOptLoss` - Similar as the above, but also optimizes Maximum relative drawdown.
+* `MaxDrawDownRelativeHyperOptLoss` -  Optimizes both maximum absolute drawdown while also adjusting for maximum relative drawdown.
 * `CalmarHyperOptLoss` - Optimizes Calmar Ratio calculated on trade returns relative to max drawdown.
 * `ProfitDrawDownHyperOptLoss` - Optimizes by max Profit & min Drawdown objective. `DRAWDOWN_MULT` variable within the hyperoptloss file can be adjusted to be stricter or more flexible on drawdown purposes.
 
diff --git a/freqtrade/data/metrics.py b/freqtrade/data/metrics.py
index 5e93ae0dc..79d192f83 100644
--- a/freqtrade/data/metrics.py
+++ b/freqtrade/data/metrics.py
@@ -153,7 +153,7 @@ def calculate_max_drawdown(trades: pd.DataFrame, *, date_col: str = 'close_date'
     max_drawdown_rel = max_drawdown_df.loc[idxmin, 'drawdown_relative']
 
     return (
-        abs(min(max_drawdown_df['drawdown'])),
+        abs(max_drawdown_df.loc[idxmin, 'drawdown']),
         high_date,
         low_date,
         high_val,
diff --git a/tests/data/test_btanalysis.py b/tests/data/test_btanalysis.py
index 2cfc33b6b..4157bd899 100644
--- a/tests/data/test_btanalysis.py
+++ b/tests/data/test_btanalysis.py
@@ -380,7 +380,7 @@ def test_calculate_max_drawdown2():
 
 @pytest.mark.parametrize('profits,relative,highd,lowd,result,result_rel', [
     ([0.0, -500.0, 500.0, 10000.0, -1000.0], False, 3, 4, 1000.0, 0.090909),
-    ([0.0, -500.0, 500.0, 10000.0, -1000.0], True, 0, 1, 1000.0, 0.5),
+    ([0.0, -500.0, 500.0, 10000.0, -1000.0], True, 0, 1, 500.0, 0.5),
 
 ])
 def test_calculate_max_drawdown_abs(profits, relative, highd, lowd, result, result_rel):