diff --git a/freqtrade/optimize/hyperopt_loss_calmar.py b/freqtrade/optimize/hyperopt_loss_calmar.py
index ace08794a..846dae9ea 100644
--- a/freqtrade/optimize/hyperopt_loss_calmar.py
+++ b/freqtrade/optimize/hyperopt_loss_calmar.py
@@ -47,10 +47,9 @@ class CalmarHyperOptLoss(IHyperOptLoss):
 
         # calculate max drawdown
         try:
-            _, _, _, high_val, low_val = calculate_max_drawdown(
+            _, _, _, _, _, max_drawdown = calculate_max_drawdown(
                 results, value_col="profit_abs"
             )
-            max_drawdown = (high_val - low_val) / high_val
         except ValueError:
             max_drawdown = 0
 
diff --git a/freqtrade/plugins/protections/max_drawdown_protection.py b/freqtrade/plugins/protections/max_drawdown_protection.py
index 67e204039..c5d390f52 100644
--- a/freqtrade/plugins/protections/max_drawdown_protection.py
+++ b/freqtrade/plugins/protections/max_drawdown_protection.py
@@ -55,7 +55,8 @@ class MaxDrawdown(IProtection):
 
         # Drawdown is always positive
         try:
-            drawdown, _, _, _, _ = calculate_max_drawdown(trades_df, value_col='close_profit')
+            # TODO: This should use absolute profit calculation, considering account balance.
+            drawdown, _, _, _, _, _ = calculate_max_drawdown(trades_df, value_col='close_profit')
         except ValueError:
             return False, None, None
 
diff --git a/tests/data/test_btanalysis.py b/tests/data/test_btanalysis.py
index 47f1b8849..8df0daa15 100644
--- a/tests/data/test_btanalysis.py
+++ b/tests/data/test_btanalysis.py
@@ -280,23 +280,23 @@ def test_create_cum_profit1(testdatadir):
 
 
 def test_calculate_max_drawdown(testdatadir):
-    filename = testdatadir / "backtest-result_test.json"
+    filename = testdatadir / "backtest-result_new.json"
     bt_data = load_backtest_data(filename)
-    drawdown, hdate, lowdate, hval, lval = calculate_max_drawdown(bt_data)
+    drawdown_abs, hdate, lowdate, hval, lval, drawdown = calculate_max_drawdown(bt_data, value_col="profit_abs")
     assert isinstance(drawdown, float)
-    assert pytest.approx(drawdown) == 0.21142322
+    assert pytest.approx(drawdown) == 0.59495234
     assert isinstance(hdate, Timestamp)
     assert isinstance(lowdate, Timestamp)
     assert isinstance(hval, float)
     assert isinstance(lval, float)
-    assert hdate == Timestamp('2018-01-24 14:25:00', tz='UTC')
-    assert lowdate == Timestamp('2018-01-30 04:45:00', tz='UTC')
+    assert hdate == Timestamp('2018-01-25 01:30:00', tz='UTC')
+    assert lowdate == Timestamp('2018-01-30 094:45:00', tz='UTC')
 
     underwater = calculate_underwater(bt_data)
     assert isinstance(underwater, DataFrame)
 
     with pytest.raises(ValueError, match='Trade dataframe empty.'):
-        drawdown, hdate, lowdate, hval, lval = calculate_max_drawdown(DataFrame())
+        calculate_max_drawdown(DataFrame())
 
     with pytest.raises(ValueError, match='Trade dataframe empty.'):
         calculate_underwater(DataFrame())
@@ -331,12 +331,13 @@ def test_calculate_max_drawdown2():
     # sort by profit and reset index
     df = df.sort_values('profit').reset_index(drop=True)
     df1 = df.copy()
-    drawdown, hdate, ldate, hval, lval = calculate_max_drawdown(
+    drawdown, hdate, ldate, hval, lval, drawdown_rel = calculate_max_drawdown(
         df, date_col='open_date', value_col='profit')
     # Ensure df has not been altered.
     assert df.equals(df1)
 
     assert isinstance(drawdown, float)
+    assert isinstance(drawdown_rel, float)
     # High must be before low
     assert hdate < ldate
     # High value must be higher than low value
diff --git a/tests/optimize/test_optimize_reports.py b/tests/optimize/test_optimize_reports.py
index e56572522..f9ab50877 100644
--- a/tests/optimize/test_optimize_reports.py
+++ b/tests/optimize/test_optimize_reports.py
@@ -103,7 +103,7 @@ def test_generate_backtest_stats(default_conf, testdatadir, tmpdir):
     assert strat_stats['backtest_end'] == max_date.strftime(DATETIME_PRINT_FORMAT)
     assert strat_stats['total_trades'] == len(results['DefStrat']['results'])
     # Above sample had no loosing trade
-    assert strat_stats['max_drawdown'] == 0.0
+    assert strat_stats['max_drawdown_account'] == 0.0
 
     # Retry with losing trade
     results = {'DefStrat': {
@@ -143,7 +143,7 @@ def test_generate_backtest_stats(default_conf, testdatadir, tmpdir):
     assert 'strategy_comparison' in stats
     strat_stats = stats['strategy']['DefStrat']
 
-    assert strat_stats['max_drawdown'] == 0.013803
+    assert pytest.approx(strat_stats['max_drawdown_account']) == 1.399999e-08
     assert strat_stats['drawdown_start'] == '2017-11-14 22:10:00'
     assert strat_stats['drawdown_end'] == '2017-11-14 22:43:00'
     assert strat_stats['drawdown_end_ts'] == 1510699380000
@@ -165,7 +165,7 @@ def test_generate_backtest_stats(default_conf, testdatadir, tmpdir):
     filename1 = Path(tmpdir / last_fn)
     assert filename1.is_file()
     content = filename1.read_text()
-    assert 'max_drawdown' in content
+    assert 'max_drawdown_account' in content
     assert 'strategy' in content
     assert 'pairlist' in content
 
diff --git a/tests/test_plotting.py b/tests/test_plotting.py
index 40a76d04e..c1f7d0876 100644
--- a/tests/test_plotting.py
+++ b/tests/test_plotting.py
@@ -343,7 +343,7 @@ def test_generate_profit_graph(testdatadir):
 
     profit = find_trace_in_fig_data(figure.data, "Profit")
     assert isinstance(profit, go.Scatter)
-    drawdown = find_trace_in_fig_data(figure.data, "Max drawdown 10.45%")
+    drawdown = find_trace_in_fig_data(figure.data, "Max drawdown 35.69%")
     assert isinstance(drawdown, go.Scatter)
     parallel = find_trace_in_fig_data(figure.data, "Parallel trades")
     assert isinstance(parallel, go.Scatter)