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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.

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tuhinmallick/InsiderTrader

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InsiderTrader

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

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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

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Example

For more examples, please refer to the Notebook

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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).

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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

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🛡 License

License

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

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Authors

Contact

Your Name - @tuhinmallick - [email protected]

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

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Acknowledgments

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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.

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