Kaggle project : Jane-Street-Market-Prediction

In this project, Jane Street which is a quantitative trading company ,challenged us to build our own quantitative trading model to maximize returns using market data from a major global stock exchange. Next, they’ll test the predictiveness of our models against future market returns.

Built With 🔨

• Kaggle platform
• Python
• LGBM
• Scikit-learn
• Tensorflow
• Pytorch
• Plotly

Live Demo

Live Demo Link

Install

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

• Open terminal
• Clone this project by the command:

$ git clone git@github.com:Taher-web-dev/Jane-Street-Market-Prediction.git

• Then go to the main folder using the next command:

$ cd Jane-Street-Market-Prediction

Prerequisites

• IDE to edit and run the code (We use Jupyter Notebook 🔥).
• Git to versionning your work.

Usage

• Data scientist practioner
• For anyone interested by Time series or stock exchange prediction.

Authors

👤 Taher Haggui

• GitHub: @TaherHaggui
• LinkedIn: @TaherHaggui

🤝 Contributing

Contributions, issues, and feature requests are welcome!

Show your support

Give a ⭐️ if you like this project!

Acknowledgments

• kaggle plarform 💘 (https://www.kaggle.com/)
• My family's support 🙌

📝 License

This project is Jane street licensed.