Skip to main content

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 ➔       Documentation Status Licence Project Type: Federation Experimental
Health ➔              GitHub Workflow Status: ci.yml GitHub Workflow Status: cd.yml Last Commit
Quality ➔             codecov Code Style: Black Ruff
Distribution ➔    PyPI version PyPI - Python Version PyPI downloads
Community ➔     Discord 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.

Disclaimer

Warning This project, sec-ai, is an independent, open-source initiative and has no affiliation, endorsement, or verification by the United States Securities and Exchange Commission (SEC). It utilizes public APIs and data provided by the SEC solely for research, informational, and educational objectives. This tool is not intended for financial advisement or as a substitute for professional investment advice or compliance with securities regulations. The creators and maintainers make no warranties, expressed or implied, about the accuracy, completeness, or reliability of the data and analyses presented. Use this software at your own risk. For accurate and comprehensive financial analysis, consult with qualified financial professionals and comply with all relevant legal requirements. The project maintainers and contributors are not liable for any financial or legal consequences arising from the use of this tool.

Getting Started

To get started, first install the sec-ai package:

pip install sec-ai

Warning We're thrilled to inform you that the sec-parser project is the final prerequisite for launching our eagerly anticipated feature, sec-ai. We're diligently working to ensure that it meets all the necessary standards and functionalities.

Stay Informed: For detailed information and updates specific to sec-parser and to be the first to know when sec-ai is launched, please follow our Announcements page.

Contribute to sec-parser: If you're as excited about sec-parser and the upcoming sec-ai feature as we are, we warmly invite you to get involved!

- Join our Discussions and connect with us on Discord.
- Please review our Contribution Guide for sec-parser.
- Explore the current Issues or propose new enhancements to the sec-parser.

Our targeted launch for sec-ai is approaching, and we're grateful for your continued anticipation and interest, which are invaluable to our endeavors.

Best Practices

How to Import Modules In Your Code

To ensure your code remains functional even when we update sec-ai, it's recommended to avoid complex imports. Don't use intricate import statements that go deep into the package, like this:

from sec_ai.some_package.internal_utils import SomeInternalClass

Here are the suggested ways to import modules from sec-ai:

Basic Import

  • Standard Way: Use import sec_ai as sai
    This imports the main package as sai. You can then access its functionalities using sai. prefix.

Specific Import

  • Package-Level Import: Use from sec_ai import SomeClass
    This allows you to directly use SomeClass without any prefix.

Submodule Import

  • Submodule: Use from sec_ai import some_package
    This imports the some_package submodule, and you can access its classes and functions using some_package. prefix.

More Specific Submodule Import

  • Submodule-Level: Use from sec_ai.some_package import SomeClass
    This imports a specific class SomeClass from the some_package submodule.

Note The main package sec_ai contains only the most common functionalities. For specialized tasks, please use submodule or submodule-level imports.

Contributing

For information about setting up the development environment, coding standards, and contribution workflows, please refer to our CONTRIBUTING.md guide.

License

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sec_ai-0.7.0.post22.tar.gz (6.4 kB view hashes)

Uploaded Source

Built Distribution

sec_ai-0.7.0.post22-py3-none-any.whl (5.9 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page