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 ➔             Code Style: Black Ruff
Distribution ➔    PyPI version PyPI - Python Version PyPI downloads
Community ➔     Discord 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

Next, please visit the Demo and explore the corresponding source code to understand how to utilize the package effectively.

Best Practices

How to Import Modules In Your Code

To ensure your code remains functional even when we change the internal structure of sec-ai, it's recommended to avoid deep imports. Here is an example of a deep import:

from sec_ai.something_package.internal_utils.core import SomeInternalClass

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

Root Import (prefix)

  • import sec_ai as sp. This imports the main package as sp. You can then access its functionalities using sp. prefix.

Root Import (direct)

  • from sec_ai import SomeClass: This allows you to directly use SomeClass without any prefix.

Submodule Import (prefix)

  • import sec_ai.something_package**: This imports the something_package submodule, and you can access its classes and functions using something_package. prefix.

Submodule Import (direct)

  • from sec_ai.something_package import SomeClass: This imports a specific class SomeClass from the something_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.post25.tar.gz (6.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sec_ai-0.7.0.post25-py3-none-any.whl (5.6 kB view details)

Uploaded Python 3

File details

Details for the file sec_ai-0.7.0.post25.tar.gz.

File metadata

  • Download URL: sec_ai-0.7.0.post25.tar.gz
  • Upload date:
  • Size: 6.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.6.1 CPython/3.11.7 Linux/6.2.0-1018-azure

File hashes

Hashes for sec_ai-0.7.0.post25.tar.gz
Algorithm Hash digest
SHA256 91da413fdec6ec422a6873d55a1310a66f87e02badff2934393313674ae360c1
MD5 a4a2b621850494604c921cf99fbc8e7e
BLAKE2b-256 b4e8ffbd594cac5be2c135481d996019aa0dc0b2a33072b2bad575e7cca9d4ae

See more details on using hashes here.

File details

Details for the file sec_ai-0.7.0.post25-py3-none-any.whl.

File metadata

  • Download URL: sec_ai-0.7.0.post25-py3-none-any.whl
  • Upload date:
  • Size: 5.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.6.1 CPython/3.11.7 Linux/6.2.0-1018-azure

File hashes

Hashes for sec_ai-0.7.0.post25-py3-none-any.whl
Algorithm Hash digest
SHA256 6134a693ee9df40e1ad2dca170d9b4400999e5a13019d7a342b4c583f63f6268
MD5 c4f599377fbbf8db2e57d8334b191cad
BLAKE2b-256 dfa3afbf3aa4919deba0690bdbba8b734aa406b8287646c0ac24ab8494f2996b

See more details on using hashes here.

Supported by

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