diff --git a/tests/optimize/test_recursive_analysis.py b/tests/optimize/test_recursive_analysis.py
index 52dfd8ac6..0492ed5e0 100644
--- a/tests/optimize/test_recursive_analysis.py
+++ b/tests/optimize/test_recursive_analysis.py
@@ -148,7 +148,7 @@ def test_initialize_single_recursive_analysis(recursive_conf, mocker, caplog):
 
 
 @pytest.mark.parametrize('scenario', [
-    'no_bias', 'bias1'
+    'no_bias', 'bias1', 'bias2'
 ])
 def test_recursive_biased_strategy(recursive_conf, mocker, caplog, scenario) -> None:
     mocker.patch('freqtrade.data.history.get_timerange', get_timerange)
@@ -177,10 +177,13 @@ def test_recursive_biased_strategy(recursive_conf, mocker, caplog, scenario) ->
     # Assert init correct
     assert log_has_re(f"Strategy Parameter: scenario = {scenario}", caplog)
 
-    diff_pct = abs(float(instance.dict_recursive['rsi'][100].replace("%", "")))
-    # check non-biased strategy
-    if scenario == "no_bias":
-        assert diff_pct < 0.01
-    # check biased strategy
-    elif scenario == "bias1":
-        assert diff_pct >= 0.01
+    if scenario == "bias2":
+        assert log_has_re("=> found lookahead in indicator rsi", caplog)
+    else:
+        diff_pct = abs(float(instance.dict_recursive['rsi'][100].replace("%", "")))
+        # check non-biased strategy
+        if scenario == "no_bias":
+            assert diff_pct < 0.01
+        # check biased strategy
+        elif scenario == "bias1":
+            assert diff_pct >= 0.01
diff --git a/tests/strategy/strats/strategy_test_v3_recursive_issue.py b/tests/strategy/strats/strategy_test_v3_recursive_issue.py
index 78a9dca61..974c2c1c2 100644
--- a/tests/strategy/strats/strategy_test_v3_recursive_issue.py
+++ b/tests/strategy/strats/strategy_test_v3_recursive_issue.py
@@ -19,7 +19,7 @@ class strategy_test_v3_recursive_issue(IStrategy):
 
     # Optimal timeframe for the strategy
     timeframe = '5m'
-    scenario = CategoricalParameter(['no_bias', 'bias1'], default='bias1', space="buy")
+    scenario = CategoricalParameter(['no_bias', 'bias1', 'bias2'], default='bias1', space="buy")
 
     # Number of candles the strategy requires before producing valid signals
     startup_candle_count: int = 100
@@ -28,8 +28,10 @@ class strategy_test_v3_recursive_issue(IStrategy):
         # bias is introduced here
         if self.scenario.value == 'no_bias':
             dataframe['rsi'] = ta.RSI(dataframe, timeperiod=14)
-        else:
+        elif self.scenario.value == 'bias1':
             dataframe['rsi'] = ta.RSI(dataframe, timeperiod=50)
+        else:
+            dataframe['rsi'] = ta.RSI(dataframe, timeperiod=50).shift(-1)
 
         return dataframe