OpenEDGAR: Open Source Software for SEC EDGAR Analysis

12 Pages Posted: 27 Jun 2018

See all articles by Michael James Bommarito

Michael James Bommarito

273 Ventures; Licensio, LLC; Stanford Center for Legal Informatics; Michigan State College of Law; Bommarito Consulting, LLC

Daniel Martin Katz

Illinois Tech - Chicago Kent College of Law; Bucerius Center for Legal Technology & Data Science; Stanford CodeX - The Center for Legal Informatics; 273 Ventures

Eric Detterman

LexPredict, LLC

Date Written: June 12, 2018

Abstract

OpenEDGAR is an open source Python framework designed to rapidly construct research databases based on the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system operated by the US Securities and Exchange Commission (SEC). OpenEDGAR is built on the Django application framework, supports distributed compute across one or more servers, and includes functionality to (i) retrieve and parse index and filing data from EDGAR, (ii) build tables for key metadata like form type and filer, (iii) retrieve, parse, and update CIK to ticker and industry mappings, (iv) extract content and metadata from filing documents, and (v) search filing document contents. OpenEDGAR is designed for use in both academic research and industrial applications, and is distributed under MIT License.

Keywords: SEC, EDGAR, Legal, Regulatory, Finance, Accounting, Data, Opensource, Corpora, Python, Natural Language Processing, Machine Learning

JEL Classification: C19, C53, C55, C38, C45, C63, C88

Suggested Citation

Bommarito, Michael James and Katz, Daniel Martin and Detterman, Eric, OpenEDGAR: Open Source Software for SEC EDGAR Analysis (June 12, 2018). Available at SSRN: https://ssrn.com/abstract=3194754 or http://dx.doi.org/10.2139/ssrn.3194754

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Michigan State College of Law ( email )

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Daniel Martin Katz (Contact Author)

Illinois Tech - Chicago Kent College of Law ( email )

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Bucerius Center for Legal Technology & Data Science ( email )

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273 Ventures ( email )

HOME PAGE: http://273ventures.com

Eric Detterman

LexPredict, LLC ( email )

MI
United States

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