Skip to content

This is a Python package for detecting insider trading activity in stock market data. It uses various machine learning techniques to analyze stock prices and volumes, as well as news articles and other publicly available information, to identify patterns that may indicate insider trading.

License

Notifications You must be signed in to change notification settings

tuhinmallick/InsiderTrader

Repository files navigation

PyPI version Contributors Forks Stargazers Issues MIT License LinkedIn


Logo

InsiderTrader

InsiderTrader is a python package that helps in detecting insider trading activities in the stock market.
Explore the docs »

View Demo · Report Bug · Request Feature

Table of Contents
  1. About The Project
  2. Getting Started
  3. Usage
  4. Roadmap
  5. Contributing
  6. License
  7. Contact
  8. Acknowledgments

About The Project

Insider trading refers to the practice of buying or selling securities by individuals who possess non-public information about a company. This information may include financial results, mergers and acquisitions, or other confidential information that is not yet available to the public. The individuals who engage in insider trading are typically corporate insiders, such as company executives and board members, but it can also include anyone who possesses non-public information.

(back to top)

Getting Started

To get a local copy up and running follow these simple example steps.

Installation

Install InsiderTrader from pypi

  pip install insidertrader

Usage

  1. Clone the repo
    git clone https://github.com/tuhinmallick/InsiderTrader.git
  2. Go to the project directory
    cd InsiderTrader
  3. Install environment or dependecies
    conda env create -n ENVNAME --file docs/environment.yml
    or
    pip install -r requirements.txt
  4. Import the package in .py
    from insider_eda.eda_base import Exploratory_data_analysis

(back to top)

Example

For more examples, please refer to the Notebook

(back to top)

Roadmap

  • Granger casaulty test
  • AD Fuller test
  • Make package pip installable
    • Make readme.rst

See the open issues for a full list of proposed features (and known issues).

(back to top)

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

(back to top)

🛡 License

License

This project is licensed under the terms of the MIT license. See LICENSE for more details.

(back to top)

Authors

Contact

Your Name - @tuhinmallick - tuhin.mllk@gmail.com

Project Link: https://github.com/tuhinmallick/InsiderTrader

(back to top)

Acknowledgments

(back to top)

About

This is a Python package for detecting insider trading activity in stock market data. It uses various machine learning techniques to analyze stock prices and volumes, as well as news articles and other publicly available information, to identify patterns that may indicate insider trading.

Topics

Resources

License

Code of conduct

Stars

Watchers

Forks

Packages

No packages published