diff --git a/freqtrade/data/converter.py b/freqtrade/data/converter.py
index 6abb87925..231aaefca 100644
--- a/freqtrade/data/converter.py
+++ b/freqtrade/data/converter.py
@@ -31,7 +31,8 @@ def parse_ticker_dataframe(ticker: list, ticker_interval: str,
 
     # 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'})
+    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({