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RPython package that utilizes requests and regex to make digging through the SEC database eand analyzing 10 forms easy.

Project description

tenform Documentation Status

Python package that utilizes requests and regex to make digging through the SEC database and analyzing 10 forms easy.


>>> from tenform.tenform import stock
>>> import pandas as pd
>>> import os, webbrowser

>>> s = stock('F')
>>> print(s.get_ticker)
<bound method stock.get_ticker of <Stock F>>

>>> l = s.tenk_links('2016-01-01','2018-01-01')
>>> print(l[0])

>>> IncStmt = s.tenk_IS('2017-01-01', '2018-01-01')
>>> path = os.path.abspath('temp.html')
>>> url = 'file://' + path
>>> with open(path, 'w') as f:
>>>   f.write(IncStmt)
>>> os.remove('temp.html')


  • stock(ticker)
  • tenk_links(start_date=’YYYY-MM-DD’, end_date=’YYYY-MM-DD’)
  • tenk_IS(start_date=’YYYY-MM-DD’, end_date=’YYYY-MM-DD’)
  • tenq_links(start_date=’YYYY-MM-DD’, end_date=’YYYY-MM-DD’)
  • tenq_IS(start_date=’YYYY-MM-DD’, end_date=’YYYY-MM-DD’)



This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.


0.1.0 (2018-07-12)

  • First release on PyPI.

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