>Time to setup python scripts which could parse through the excel spreadsheets, figure out which row corresponded to gross profit margin, and a few other "stand

>Time to setup python scripts which could parse through the excel spreadsheets, figure out which row corresponded to gross profit margin, and a few other "standard" metrics: ??? If you just want basic financial data there are easier ways, e.g. the Quandl API (not affiliated). But the bigger issue is that you can't accurately label your training data. A subsequent stock price move could have been due by something revealed in the 10-Q that the market somehow missed, or it could have been caused by a forest fire in Bolivia, or a competitor getting acquired, or any combination of near infinite external events that couldn't have been predicted from the 10-Q.