/Riot-Quantitative-Research

Riot Investment Society's Quantitative Research Division workspace.

Primary LanguageJupyter Notebook

Riot Quantitative Research

Welcome to the official GitHub repository of the Quantitative Research Division of Riot Investment Society. This repository serves as a dynamic and interactive platform for sharing the code and research materials produced by our team.

For more information you can visit: Our Team | Riot Investment Scoiety

About Us

Riot Investment Society's Quantitative Research Division is dedicated to exploring and analyzing financial markets using quantitative methods. Our team focuses on developing innovative tools and models to better understand market dynamics and provide insightful investment strategies.

Repository Contents

In this repository, you will find:

  • Code: All the scripts and software developed by our team. These may include data analysis tools, algorithmic trading strategies, and other quantitative models.
  • Research Papers (PDFs): Comprehensive documentation of our research findings, methodologies, and analyses. These papers complement our blog posts and LinkedIn articles, offering a deeper dive into our work.

Why GitHub?

We chose GitHub as a platform to share our work because:

  • Transparency: It allows us to present our work transparently, showing both our successes and our learning processes.
  • Collaboration: GitHub facilitates collaboration, both within our team and with the wider community.
  • Direct Interaction: It provides a direct way for you to interact with the raw data and tools we use, offering a more hands-on understanding of our research.
  • Open Source: This repository is open-source, meaning that anyone interested can view, use, and contribute to our projects. We believe in the power of community-driven development and are excited to see how our work can be expanded and improved upon.

Contributions

Your 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.
Don't forget to give the project a star! Thanks again!

Contact

For any additional information or queries, feel free to contact us at riotquantresearch@gmail.com.