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

Project description

 

sec-ai

Essentials ➔       Licence Project Type: Federation Experimental
Health ➔              GitHub Workflow Status (with event) Last Commit
Quality ➔             codecov Code Style: Black Ruff
Distribution ➔    PyPI version PyPI - Python Version PyPI downloads
Community ➔     HitCount X (formerly Twitter) Follow GitHub stars

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


Overview

sec-ai is an open-source project designed to provide a comprehensive toolset for analyzing and interpreting data from SEC filings. Utilizing advanced AI technologies, this project aims to serve a wide range of users, from individual investors to researchers and regulatory bodies.

The project leverages alphanome-ai/sec-parser for its data extraction needs, an essential component that simplifies the parsing of SEC EDGAR HTML documents into a structured and analyzable format.

Installation

You can install sec-ai using pip:

pip install sec-ai

Usage

import sec_ai as sa

License

This project is licensed under the MIT License - see the LICENSE file for details.

Project details


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