🗺 Generate mappings between SEC identifiers using Python
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Updated
Sep 20, 2024 - Python
🗺 Generate mappings between SEC identifiers using Python
📈 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.
🤖 Unofficial SEC EDGAR API wrapper for Python
Aggregate and modularize efficient and reliable tools for performing fundamental analysis on US securities
A comprehensive open-source toolkit for AI-powered analysis and interpretation of SEC EDGAR filings, providing valuable insights for investors, fintech developers, and researchers.
Find and download SEC filings. Built on top of sec-edgar-downloader.
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 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.
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 GitHub repository shows data collection and analysis for “Regulatory Fragmentation” paper by Kalmenovitz, Lowry and Volkova, The Journal of Finance (Forthcoming)
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.
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.
A mapping between Execucomp database and BoardEx database
edgarParser helps you parse and analyze SEC filings from the EDGAR database
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