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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

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

Usage

>>> 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])
https://www.sec.gov/Archives/edgar/data/37996/000003799617000013/f1231201610-k.htm

>>> 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)
>>> webbrowser.open(url)
>>> os.remove('temp.html')
images/tenk_IS.png

Functions

  • 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’)

License

Credits

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

History

0.1.0 (2018-07-12)

  • First release on PyPI.

Project details


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