📈 Download filings from the SEC EDGAR database using Python
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Updated
Jul 26, 2024 - 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.
A comprehensive open-source toolkit for AI-powered analysis and interpretation of SEC EDGAR filings, providing valuable insights for investors, fintech developers, and researchers.
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
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 project is a proof-of-concept (PoC) that demonstrates the use of Elasticsearch, Kibana, and Neo4j to analyze business descriptions extracted from SEC filings.
Aggregate and modularize efficient and reliable tools for performing fundamental analysis on US securities
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