From 79ea1ba1d58372038db53182f87a3ac3c6cdd02b Mon Sep 17 00:00:00 2001
From: Matthias <xmatthias@outlook.com>
Date: Sun, 12 Apr 2026 19:33:28 +0200
Subject: [PATCH] fix: use is_string_dtype to check for object/string types

---
 freqtrade/freqai/data_drawer.py      | 2 +-
 freqtrade/freqai/data_kitchen.py     | 6 +++---
 freqtrade/freqai/freqai_interface.py | 6 +++---
 3 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/freqtrade/freqai/data_drawer.py b/freqtrade/freqai/data_drawer.py
index 960c822b5..9e9381937 100644
--- a/freqtrade/freqai/data_drawer.py
+++ b/freqtrade/freqai/data_drawer.py
@@ -361,7 +361,7 @@ class FreqaiDataDrawer:
             label_loc = df.columns.get_loc(label)
             pred_label_loc = predictions.columns.get_loc(label)
             df.iloc[-1, label_loc] = predictions.iloc[-1, pred_label_loc]
-            if df[label].dtype == object:
+            if pd.api.types.is_string_dtype(df[label].dtype):
                 continue
             label_mean_loc = df.columns.get_loc(f"{label}_mean")
             label_std_loc = df.columns.get_loc(f"{label}_std")
diff --git a/freqtrade/freqai/data_kitchen.py b/freqtrade/freqai/data_kitchen.py
index df7c827f9..9f04e0ca4 100644
--- a/freqtrade/freqai/data_kitchen.py
+++ b/freqtrade/freqai/data_kitchen.py
@@ -435,7 +435,7 @@ class FreqaiDataKitchen:
 
         for label in predictions.columns:
             append_dict[label] = predictions[label]
-            if predictions[label].dtype == object:
+            if pd.api.types.is_string_dtype(predictions[label].dtype):
                 continue
             if "labels_mean" in self.data and label in self.data["labels_mean"]:
                 append_dict[f"{label}_mean"] = self.data["labels_mean"][label]
@@ -879,7 +879,7 @@ class FreqaiDataKitchen:
 
         self.data["labels_mean"], self.data["labels_std"] = {}, {}
         for label in self.data_dictionary["train_labels"].columns:
-            if self.data_dictionary["train_labels"][label].dtype == object:
+            if pd.api.types.is_string_dtype(self.data_dictionary["train_labels"][label].dtype):
                 continue
             f = spy.stats.norm.fit(self.data_dictionary["train_labels"][label])
             self.data["labels_mean"][label], self.data["labels_std"][label] = f[0], f[1]
@@ -905,7 +905,7 @@ class FreqaiDataKitchen:
         self.find_labels(dataframe)
 
         for key in self.label_list:
-            if dataframe[key].dtype == object:
+            if pd.api.types.is_string_dtype(dataframe[key].dtype):
                 self.unique_classes[key] = dataframe[key].dropna().unique()
 
         if self.unique_classes:
diff --git a/freqtrade/freqai/freqai_interface.py b/freqtrade/freqai/freqai_interface.py
index 1ba58d3e8..2e3e74400 100644
--- a/freqtrade/freqai/freqai_interface.py
+++ b/freqtrade/freqai/freqai_interface.py
@@ -676,7 +676,7 @@ class IFreqaiModel(ABC):
         self.set_start_dry_live_date(strat_df)
 
         for label in hist_preds_df.columns:
-            if hist_preds_df[label].dtype == object:
+            if pd.api.types.is_string_dtype(hist_preds_df[label].dtype):
                 continue
             hist_preds_df[f"{label}_mean"] = 0
             hist_preds_df[f"{label}_std"] = 0
@@ -706,7 +706,7 @@ class IFreqaiModel(ABC):
         num_candles = self.freqai_info.get("fit_live_predictions_candles", 100)
         dk.data["labels_mean"], dk.data["labels_std"] = {}, {}
         for label in full_labels:
-            if self.dd.historic_predictions[dk.pair][label].dtype == object:
+            if pd.api.types.is_string_dtype(self.dd.historic_predictions[dk.pair][label].dtype):
                 continue
             f = spy.stats.norm.fit(self.dd.historic_predictions[dk.pair][label].tail(num_candles))
             dk.data["labels_mean"][label], dk.data["labels_std"][label] = f[0], f[1]
@@ -896,7 +896,7 @@ class IFreqaiModel(ABC):
                     ]
                     self.fit_live_predictions(self.dk, self.dk.pair)
                     for label in label_columns:
-                        if dk.full_df[label].dtype == object:
+                        if pd.api.types.is_string_dtype(dk.full_df[label].dtype):
                             continue
                         if "labels_mean" in self.dk.data:
                             dk.full_df.at[index, f"{label}_mean"] = self.dk.data["labels_mean"][