Handle scenario where historical data is unavailable for the specified date(s)
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@ -95,6 +95,9 @@ def get_historical_data(symbol: str, interval: int, date: datetime = None,
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data = StringIO(data)
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data = pd.read_csv(data, index_col = False,
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names=['Date', 'High', 'Low', 'Open', 'Close', 'Total Volume', 'Period Volume'])
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if data.empty:
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return data
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data['Date'] = pd.to_datetime(data['Date'])
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data['Date'] = data['Date'].dt.date
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return data
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