diff --git a/freqtrade/data/converter.py b/freqtrade/data/converter.py
index 62e9a68f6..c32338bbe 100644
--- a/freqtrade/data/converter.py
+++ b/freqtrade/data/converter.py
@@ -29,6 +29,12 @@ def parse_ticker_dataframe(ticker: list, ticker_interval: str,
                                 utc=True,
                                 infer_datetime_format=True)
 
+    # Some exchanges return int values for volume and even for ohlc.
+    # Convert them since TA-LIB indicators used in the strategy assume floats
+    # and fail with exception...
+    frame = frame.astype(dtype={'open': 'float', 'high': 'float', 'low': 'float', 'close': 'float',
+                                'volume': 'float'})
+
     # group by index and aggregate results to eliminate duplicate ticks
     frame = frame.groupby(by='date', as_index=False, sort=True).agg({
         'open': 'first',