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Official public repository of the Berlin Investment Group (BIG) Quant Team, featuring quantitative finance research, algorithmic trading strategies, market analyses, educational materials, and open-source projects.

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BIG Quant Team

About Us

The Berlin Investment Group (BIG) is a student-led investment team within Berliner Börsenkreis e.V.. We are dedicated to advancing quantitative finance, algorithmic trading, and data-driven investment strategies through open-source research, financial modeling, and collaborative learning. Our goal is to bridge the gap between academic theory and real-world financial applications.

Key Focus Areas

  • Quantitative Finance Research – Developing and applying systematic investment strategies.
  • Algorithmic Trading – Designing, backtesting, and optimizing trading models.
  • Market Analysis – Utilizing statistical methods and machine learning for financial research.
  • Education & Knowledge Sharing – Providing resources, workshops, and mentorship for students and early-career professionals.

Repository Structure

This repository serves as a public resource for research, code, and educational materials in quantitative finance. The structure follows best practices for open-source projects:

/research/           # Whitepapers, financial analysis, and academic research
/strategies/         # Algorithmic trading models with documentation and backtesting results
/education/          # Tutorials, case studies, and learning resources
/data/               # Sample datasets (if permissible) and data processing scripts
/notebooks/          # Jupyter notebooks for research, modeling, and analysis
/scripts/            # Standalone Python scripts for financial analysis and strategy execution
/docs/               # Documentation and project guidelines

Getting Started

To explore our work, clone the repository:

git clone https://github.com/tarasbln/big-quant.git
cd big-quant

Install dependencies:

pip install -r requirements.txt

Contributing

We welcome contributions from students, researchers, and finance enthusiasts. You can contribute by:

  • Submitting pull requests with research, code improvements, or new strategies.
  • Reporting issues or suggesting enhancements via GitHub Issues.
  • Engaging in discussions to refine methodologies and trading models.

Before contributing, please review our Contribution Guidelines and our Code of Conduct.

License

This repository is licensed under the MIT License – see the LICENSE file for details.

Contact & Community

Stay updated and connect with us:

We encourage students and professionals alike to collaborate and contribute to advancing quantitative finance research.

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Official public repository of the Berlin Investment Group (BIG) Quant Team, featuring quantitative finance research, algorithmic trading strategies, market analyses, educational materials, and open-source projects.

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