diff --git a/freqtrade/optimize/analysis/recursive.py b/freqtrade/optimize/analysis/recursive.py
index a57c4c630..50d1b75d6 100644
--- a/freqtrade/optimize/analysis/recursive.py
+++ b/freqtrade/optimize/analysis/recursive.py
@@ -1,4 +1,5 @@
 import logging
+import numbers
 import shutil
 from copy import deepcopy
 from datetime import timedelta
@@ -20,6 +21,10 @@ from freqtrade.resolvers import StrategyResolver
 logger = logging.getLogger(__name__)
 
 
+def is_number(variable):
+    return isinstance(variable, numbers.Number) and not isinstance(variable, bool)
+
+
 class RecursiveAnalysis(BaseAnalysis):
     def __init__(self, config: dict[str, Any], strategy_obj: dict):
         self._startup_candle = list(
@@ -69,7 +74,12 @@ class RecursiveAnalysis(BaseAnalysis):
                         values_diff_self = values_diff.loc["self"]
                         values_diff_other = values_diff.loc["other"]
 
-                        if values_diff_self and values_diff_other:
+                        if (
+                            values_diff_self
+                            and values_diff_other
+                            and is_number(values_diff_self)
+                            and is_number(values_diff_other)
+                        ):
                             diff = (values_diff_other - values_diff_self) / values_diff_self * 100
                             str_diff = f"{diff:.3f}%"
                         else:
diff --git a/tests/strategy/strats/strategy_test_v3_recursive_issue.py b/tests/strategy/strats/strategy_test_v3_recursive_issue.py
index d03486886..e709d7ad4 100644
--- a/tests/strategy/strats/strategy_test_v3_recursive_issue.py
+++ b/tests/strategy/strats/strategy_test_v3_recursive_issue.py
@@ -33,6 +33,9 @@ class strategy_test_v3_recursive_issue(IStrategy):
             # Has both bias1 and bias2
             dataframe["rsi_lookahead"] = ta.RSI(dataframe, timeperiod=50).shift(-1)
 
+        # String columns shouldn't cause issues
+        dataframe["test_string_column"] = f"a{len(dataframe)}"
+
         return dataframe
 
     def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: