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- for x in stocks:
- tws.reqHistoricalData(x)
- for n in periods:
- data = pd.DataFrame(reqHistoricalData(datetime.datetime.today()- datetime.timedelta(days=n)).strftime("%Y%m%d %H:%M:%S %Z"))
- if not data.empty:
- data.to_csv("filename{}@{}.csv".format(x, n))
- else:
- print("empty data for", x, n)
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