fix flake
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@ -31,7 +31,8 @@ def parse_ticker_dataframe(ticker: list, ticker_interval: str,
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# Some exchanges return int values for volume and even for ohlc.
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# Convert them since TA-LIB indicators used in the strategy assume floats and fail with exception...
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frame = frame.astype(dtype={'open': 'float', 'high': 'float', 'low': 'float', 'close': 'float', 'volume': 'float'})
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frame = frame.astype(dtype={'open': 'float', 'high': 'float', 'low': 'float', 'close': 'float',
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'volume': 'float'})
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# group by index and aggregate results to eliminate duplicate ticks
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frame = frame.groupby(by='date', as_index=False, sort=True).agg({
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