secdata 0.0.3

Easily Download Financial Data reported to SEC

secdata : All Data reported to the Securities and Exchange Commission

About

A module to easily Download Financial Data reported to the Securities and Exchange Commision (SEC).

It deploys SEC's RESTful APIs, which delivers JSON-formatted data without requiring authentication or API keys.

Currently included in the APIs are the submissions history by filer and the XBRL data from financial statements (forms 10-Q, 10-K,8-K, 20-F, 40-F, 6-K, and their variants).

The JSON structures are updated throughout the day, in real time, as submissions are disseminated.

More info about the APIs can be found here

Installation

Binary installers are available at PyPI (Python Package Index) .

pip install secdata

For a manual installation, source code is hosted on Github.

Methods

• fetch_companies_info(return_dataframe = False , file_if_info_already_downloaded = "companiesinfo.csv") :

  Sets the sec_companies_info property, Which is a table containing:

  • CIK (Central Index Key)
  • Ticker (AAPL, MSFT, TSLA, etc.) and
  • Name (Apple Inc., MICROSOFT CORP, Tesla, etc) .

  for each company reporting to the SEC

  From that table one can find CIKs of interest in order to use them in the fetch_facts() method

• fetch_facts(ciks) : All Sec Facts (e.g. Assets, Depreciation, Net Income, Number of Shares) available for the companies of which the ciks are provided

Example

#Import Class
from secdata import SecFactsDownloader

#Initiate Downloader
my_downloader = SecFactsDownloader("my_email@my_domain.com")

#Download Central Index Key per company
#To find CIKs of interest
my_downloader.fetch_companies_info()


#320193 for Apple, 789019 for Microsoft, 1652044 for Google
df_1 = my_downloader.fetch_facts([320193, 789019, 1652044])

#1318605 for Tesla, 37996 for Ford
df_2 = my_downloader.fetch_facts([1318605, 37996])