tenform¶

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Documentation Status

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

Class¶

stock(ticker)

Functions¶

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¶

Free software: MIT license
Documentation: https://tenform.readthedocs.io.

Credits¶

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