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jonmest / breakoutfinder

A Python script for finding breakouts in historical data from stocks traded on the Nasdaq and NYSE.
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Permission issues to drive.google.com links #2

Open michaeljacinto opened 2 weeks ago

michaeljacinto commented 2 weeks ago

Hi @jonmest, seeing permissions issues with the drive.google.com link:

Access denied with the following error:

    Cannot retrieve the public link of the file. You may need to change
    the permission to 'Anyone with the link', or have had many accesses.

You may still be able to access the file from the browser:

     https://drive.google.com/uc?id=1Te_B2dIChh3WFXPGz4iCq94G8LI1xxgp
jonmest commented 2 weeks ago

I'm afraid the zip file got deleted at some point. Thanks for notifying me, though - I'll archive this repository as I don't maintain it anymore.

Either way, you're better off going with a better dataset. The datasets that are fetched in this script suffer from survivorship bias, i.e. don't include de-listed stocks. If you were to use it for learning or backtesting purposes it could be quite misleading. Better datasets that include de-listed stocks usually cost money, but the cheapest ones I know of are https://fmpcloud.io (end-of-day only) and Sharadar https://data.nasdaq.com/databases/SEP (daily OHLCV).

Maybe not the response you hoped for, but good luck.