python -m pip install yahoo-historical
arguments: ticker The ticker symbol to download historical data for start Start day in form [Year,Month,Day] optional arguments: end End day in form [Year,Month,Day] interval Interval to fetch historical data (can be 1d, 1wk, 1mo, defaults to 1d)
Usage Examples:
>>>from yahoo_historical import Fetcher >>>data = Fetcher("AAPL", [2007,1,1], [2017,1,1]) >>>print(data.getHistorical()) Date Open High Low Close Adj Close Volume 0 2007-01-03 12.327143 12.368571 11.700000 10.812462 11.971429 309579900 1 2007-01-04 12.007143 12.278571 11.974286 11.052453 12.237143 211815100 2 2007-01-05 12.252857 12.314285 12.057143 10.973743 12.150000 208685400 3 2007-01-08 12.280000 12.361428 12.182858 11.027935 12.210000 199276700 4 2007-01-09 12.350000 13.282857 12.164286 11.944029 13.224286 837324600 5 2007-01-10 13.535714 13.971429 13.350000 12.515617 13.857142 738220000 6 2007-01-11 13.705714 13.825714 13.585714 12.360788 13.685715 360063200 7 2007-01-12 13.512857 13.580000 13.318571 12.208535 13.517143 328172600 8 2007-01-16 13.668571 13.892858 13.635715 12.528520 13.871428 311019100 9 2007-01-17 13.937143 13.942857 13.545714 12.251113 13.564285 411565000 10 2007-01-18 13.157143 13.158571 12.721429 11.492435 12.724286 591151400
After struggling to download Yahoo Finance historical data since they closed the ichart API, I decided to combine a few open source scripts into a class that can do it all!
MIT License
Copyright (c) 2017 Andrew Porter
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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