Setup

https://github.com/sec-edgar/sec-edgar

pip install nest-asyncio
pip install secedgar

to convert your notebook

ipython nbconvert --to python *.ipynb

to ingest filings, run file https://github.com/stancsz/dt-secedgar-filings/blob/master/ingest-secedgar-filings.py specifics, refer to this doc https://sec-edgar.github.io/sec-edgar/

What's done

for the most interesting data: financial reports, the reports is already avaliable at:

parsed_filings/0000950123-10-030164/0.Financial_Report.xls

parsed_filings/0001326380-18-000033/0.Financial_Report.xlsx

What's left to do

feel free to write codes to load & combine them suggestions: https://pandas.pydata.org/docs/reference/api/pandas.read_excel.html

Noice to haves

Would be nice to have if we can periodically generate some reports and update our stakeholders at wsb https://www.reddit.com/r/wallstreetbets/