fix: add better error-handling for dataloading

closes #10978

freqtrade/data/history/datahandlers/featherdatahandler.py

@@ -58,7 +58,7 @@ class FeatherDataHandler(IDataHandler):
             )
             if not filename.exists():
                 return DataFrame(columns=self._columns)
-
+        try:
             pairdata = read_feather(filename)
             pairdata.columns = self._columns
             pairdata = pairdata.astype(
@@ -72,6 +72,11 @@ class FeatherDataHandler(IDataHandler):
             )
             pairdata["date"] = to_datetime(pairdata["date"], unit="ms", utc=True)
             return pairdata
+        except Exception as e:
+            logger.exception(
+                f"Error loading data from {filename}. Exception: {e}. Returning empty dataframe."
+            )
+            return DataFrame(columns=self._columns)
 
     def ohlcv_append(
         self, pair: str, timeframe: str, data: DataFrame, candle_type: CandleType

freqtrade/data/history/datahandlers/hdf5datahandler.py

@@ -68,6 +68,7 @@ class HDF5DataHandler(IDataHandler):
             )
             if not filename.exists():
                 return pd.DataFrame(columns=self._columns)
+        try:
             where = []
             if timerange:
                 if timerange.starttype == "date":
@@ -90,6 +91,13 @@ class HDF5DataHandler(IDataHandler):
             )
             pairdata = pairdata.reset_index(drop=True)
             return pairdata
+        except ValueError as e:
+            raise
+        except Exception as e:
+            logger.exception(
+                f"Error loading data from {filename}. Exception: {e}. Returning empty dataframe."
+            )
+            return pd.DataFrame(columns=self._columns)
 
     def ohlcv_append(
         self, pair: str, timeframe: str, data: pd.DataFrame, candle_type: CandleType

freqtrade/data/history/datahandlers/parquetdatahandler.py

@@ -56,7 +56,7 @@ class ParquetDataHandler(IDataHandler):
             )
             if not filename.exists():
                 return DataFrame(columns=self._columns)
-
+        try:
             pairdata = read_parquet(filename)
             pairdata.columns = self._columns
             pairdata = pairdata.astype(
@@ -70,6 +70,11 @@ class ParquetDataHandler(IDataHandler):
             )
             pairdata["date"] = to_datetime(pairdata["date"], unit="ms", utc=True)
             return pairdata
+        except Exception as e:
+            logger.exception(
+                f"Error loading data from {filename}. Exception: {e}. Returning empty dataframe."
+            )
+            return DataFrame(columns=self._columns)
 
     def ohlcv_append(
         self, pair: str, timeframe: str, data: DataFrame, candle_type: CandleType