📈 Download filings from the SEC EDGAR database using Python

Parse SEC EDGAR HTML documents into a tree of elements that correspond to the visual (semantic) structure of the document.

provide cik to cusip links using 13G and 13D filings

Extract financial data from the SEC's EDGAR database

This depository uses SEC EDGAR data in Schedule 13D and Schedule 13G data to find all positions above 5% in all US stocks between 1994 and 2018.

A comprehensive open-source toolkit for AI-powered analysis and interpretation of SEC EDGAR filings, providing valuable insights for investors, fintech developers, and researchers.

edgarParser helps you parse and analyze SEC filings from the EDGAR database

Python application used to download, parse, and extract structured/unstructured data from filings in the SEC Edgar Database (including 10-K, 10-Q, 13-D, S-1, 8-K, etc.)

🤖 Unofficial SEC EDGAR API wrapper for Python

🗺 Generate mappings between SEC identifiers using Python

Explanation of IPO data extraction from SDC Platinum, data cleaning and matching with CRSP

Find and download SEC filings. Built on top of sec-edgar-downloader.

A set of tools for dealing with SEC EDGAR corporate filings

Command-line interface (CLI) program for downloading 10-K, 10-K/A, 10-Q, 10-Q/A filings from the SEC EDGAR database.

A package for downloading, extracting, parsing, and processing data from SEC-EDGAR, a public online database of all documents filed with the USA's Securities and Exchange Commission.

This Repository consists of all the Jupyter Notebook (.ipynb) files, python files, excel sheets which are a part of the BCGX's Gen AI Virtual Job Simulation that is hosted on Forage.

This GitHub repository shows data collection and analysis for “Regulatory Fragmentation” paper by Kalmenovitz, Lowry and Volkova, The Journal of Finance (Forthcoming)

A Python based web scraper for the SEC EDGAR database

This repository contains Python scripts for collecting financial data from different sources, including an earnings call transcript crawler, an SEC Edgar downloader, and a prospectus and reports collector. The scripts are open-source and easy to use.

This project is a proof-of-concept (PoC) that demonstrates the use of Elasticsearch, Kibana, and Neo4j to analyze business descriptions extracted from SEC filings.