diff --git a/freqtrade/data/history/datahandlers/featherdatahandler.py b/freqtrade/data/history/datahandlers/featherdatahandler.py
index 408ffddb7..46fd7e3ae 100644
--- a/freqtrade/data/history/datahandlers/featherdatahandler.py
+++ b/freqtrade/data/history/datahandlers/featherdatahandler.py
@@ -58,20 +58,25 @@ class FeatherDataHandler(IDataHandler):
             )
             if not filename.exists():
                 return DataFrame(columns=self._columns)
-
-        pairdata = read_feather(filename)
-        pairdata.columns = self._columns
-        pairdata = pairdata.astype(
-            dtype={
-                "open": "float",
-                "high": "float",
-                "low": "float",
-                "close": "float",
-                "volume": "float",
-            }
-        )
-        pairdata["date"] = to_datetime(pairdata["date"], unit="ms", utc=True)
-        return pairdata
+        try:
+            pairdata = read_feather(filename)
+            pairdata.columns = self._columns
+            pairdata = pairdata.astype(
+                dtype={
+                    "open": "float",
+                    "high": "float",
+                    "low": "float",
+                    "close": "float",
+                    "volume": "float",
+                }
+            )
+            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
diff --git a/freqtrade/data/history/datahandlers/hdf5datahandler.py b/freqtrade/data/history/datahandlers/hdf5datahandler.py
index b0f525b87..3eff133f4 100644
--- a/freqtrade/data/history/datahandlers/hdf5datahandler.py
+++ b/freqtrade/data/history/datahandlers/hdf5datahandler.py
@@ -68,28 +68,36 @@ class HDF5DataHandler(IDataHandler):
             )
             if not filename.exists():
                 return pd.DataFrame(columns=self._columns)
-        where = []
-        if timerange:
-            if timerange.starttype == "date":
-                where.append(f"date >= Timestamp({timerange.startts * 1e9})")
-            if timerange.stoptype == "date":
-                where.append(f"date <= Timestamp({timerange.stopts * 1e9})")
+        try:
+            where = []
+            if timerange:
+                if timerange.starttype == "date":
+                    where.append(f"date >= Timestamp({timerange.startts * 1e9})")
+                if timerange.stoptype == "date":
+                    where.append(f"date <= Timestamp({timerange.stopts * 1e9})")
 
-        pairdata = pd.read_hdf(filename, key=key, mode="r", where=where)
+            pairdata = pd.read_hdf(filename, key=key, mode="r", where=where)
 
-        if list(pairdata.columns) != self._columns:
-            raise ValueError("Wrong dataframe format")
-        pairdata = pairdata.astype(
-            dtype={
-                "open": "float",
-                "high": "float",
-                "low": "float",
-                "close": "float",
-                "volume": "float",
-            }
-        )
-        pairdata = pairdata.reset_index(drop=True)
-        return pairdata
+            if list(pairdata.columns) != self._columns:
+                raise ValueError("Wrong dataframe format")
+            pairdata = pairdata.astype(
+                dtype={
+                    "open": "float",
+                    "high": "float",
+                    "low": "float",
+                    "close": "float",
+                    "volume": "float",
+                }
+            )
+            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
diff --git a/freqtrade/data/history/datahandlers/parquetdatahandler.py b/freqtrade/data/history/datahandlers/parquetdatahandler.py
index 82d3babfa..1813f9991 100644
--- a/freqtrade/data/history/datahandlers/parquetdatahandler.py
+++ b/freqtrade/data/history/datahandlers/parquetdatahandler.py
@@ -56,20 +56,25 @@ class ParquetDataHandler(IDataHandler):
             )
             if not filename.exists():
                 return DataFrame(columns=self._columns)
-
-        pairdata = read_parquet(filename)
-        pairdata.columns = self._columns
-        pairdata = pairdata.astype(
-            dtype={
-                "open": "float",
-                "high": "float",
-                "low": "float",
-                "close": "float",
-                "volume": "float",
-            }
-        )
-        pairdata["date"] = to_datetime(pairdata["date"], unit="ms", utc=True)
-        return pairdata
+        try:
+            pairdata = read_parquet(filename)
+            pairdata.columns = self._columns
+            pairdata = pairdata.astype(
+                dtype={
+                    "open": "float",
+                    "high": "float",
+                    "low": "float",
+                    "close": "float",
+                    "volume": "float",
+                }
+            )
+            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