Berlin Quant Lab (BQλ) is the leading quantitative finance initiative of the Berlin Investment Group (BIG), operating under the umbrella of Berliner Börsenkreis e.V. (BBK). We offer a dynamic environment for students to gain hands-on experience in quantitative research, model development, and algorithmic trading.

As BIG's dedicated quant unit, we specialize in:

• Developing sophisticated data-driven financial models.
• Building and maintaining scalable research and development pipelines.
• Rigorously backtesting and live-testing trading strategies in real-world market conditions.

To bridge academic theory with practical application, we foster close collaborations with industry professionals from leading proprietary trading firms, FinTech companies, asset managers, and financial data providers. These partnerships provide our members with access to premium data, expert mentorship, and unique career opportunities in the quantitative finance sector.

• 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.

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

To explore our work, clone the repository:

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

Install dependencies:

pip install -r requirements.txt

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.

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

Stay updated and connect with us:

• Website: BIG - Berlin Investment Group
• LinkedIn: Berlin Quant Lab (BQλ)
• Organization: Berliner Börsenkreis e.V.
• Events & Workshops: Check our website for upcoming events.

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