diff --git a/build_helpers/pyarrow-11.0.0-cp39-cp39-linux_armv7l.whl b/build_helpers/pyarrow-12.0.0-cp39-cp39-linux_armv7l.whl
similarity index 59%
rename from build_helpers/pyarrow-11.0.0-cp39-cp39-linux_armv7l.whl
rename to build_helpers/pyarrow-12.0.0-cp39-cp39-linux_armv7l.whl
index a7ad80bdf..2a8d1ff51 100644
Binary files a/build_helpers/pyarrow-11.0.0-cp39-cp39-linux_armv7l.whl and b/build_helpers/pyarrow-12.0.0-cp39-cp39-linux_armv7l.whl differ
diff --git a/freqtrade/freqai/freqai_interface.py b/freqtrade/freqai/freqai_interface.py
index cf8097870..b453500b8 100644
--- a/freqtrade/freqai/freqai_interface.py
+++ b/freqtrade/freqai/freqai_interface.py
@@ -623,9 +623,11 @@ class IFreqaiModel(ABC):
             strategy, corr_dataframes, base_dataframes, pair
         )
 
-        new_trained_timerange = dk.buffer_timerange(new_trained_timerange)
+        trained_timestamp = new_trained_timerange.stopts
 
-        unfiltered_dataframe = dk.slice_dataframe(new_trained_timerange, unfiltered_dataframe)
+        buffered_timerange = dk.buffer_timerange(new_trained_timerange)
+
+        unfiltered_dataframe = dk.slice_dataframe(buffered_timerange, unfiltered_dataframe)
 
         # find the features indicated by strategy and store in datakitchen
         dk.find_features(unfiltered_dataframe)
@@ -635,8 +637,8 @@ class IFreqaiModel(ABC):
         model = self.train(unfiltered_dataframe, pair, dk)
         self.tb_logger.close()
 
-        self.dd.pair_dict[pair]["trained_timestamp"] = new_trained_timerange.stopts
-        dk.set_new_model_names(pair, new_trained_timerange.stopts)
+        self.dd.pair_dict[pair]["trained_timestamp"] = trained_timestamp
+        dk.set_new_model_names(pair, trained_timestamp)
         self.dd.save_data(model, pair, dk)
 
         if self.plot_features:
diff --git a/requirements.txt b/requirements.txt
index baa7e4d26..448bf1fc4 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -23,7 +23,7 @@ tables==3.8.0
 blosc==1.11.1
 joblib==1.2.0
 rich==13.3.5
-pyarrow==11.0.0; platform_machine != 'armv7l'
+pyarrow==12.0.0; platform_machine != 'armv7l'
 
 # find first, C search in arrays
 py_find_1st==1.1.5
diff --git a/tests/freqai/test_freqai_interface.py b/tests/freqai/test_freqai_interface.py
index 95414a83f..e27c8d2c0 100644
--- a/tests/freqai/test_freqai_interface.py
+++ b/tests/freqai/test_freqai_interface.py
@@ -41,9 +41,6 @@ def can_run_model(model: str) -> None:
     if is_pytorch_model and is_mac() and not is_arm():
         pytest.skip("Reinforcement learning / PyTorch module not available on intel based Mac OS.")
 
-    if is_pytorch_model:
-        pytest.skip("Reinforcement learning / PyTorch currently not available on python 3.11.")
-
 
 @pytest.mark.parametrize('model, pca, dbscan, float32, can_short, shuffle, buffer', [
     ('LightGBMRegressor', True, False, True, True, False, 0),