The Rindler Institute

Quantitative Education for the Next Generation.

A nonprofit lab dedicated to breaking barriers in quantitative finance, mathematics, and computation through rigorous research.

The Rindler Institute of Quantitative Education (RIQE) is a selective, focused nonprofit. We help students break into high-level quant finance and applied math.

We operate like a real research lab. Our goal is to assemble a small, highly motivated team of analysts to develop and rigorously backtest trading strategies using paper-traded portfolios.

We have received $5,000 in funding and are projected to receive another $3,500 to further our mission.

Donate to RIQE

RIQE is designed to mirror the structure of a professional quant firm.

Real Experience

Build models, clean data, and test strategies in a realistic research environment.

Scholarship Support

We provide financial aid consideration to remove barriers for driven students.

Portfolio Building

Create code repositories and research papers to present for internships and grad school.

Mentorship

Structured networking with peers and guest speakers from the industry.

Program Awards & Support

We aim to remove financial barriers. A portion of our funding is reserved specifically for student support.

Rindler Scholar Awards

Merit-based stipends awarded to participants in recognition of exceptional performance on RIQE projects, research, and presentations.

Data & Resources

Funding to cover access to premium data sets, compute credits, or specialized tools needed for strategy development.

Conference Support

Support for students presenting their work at meetups, competitions, or academic events aligned with our mission.

Curriculum & Timeline

A rigorous summer term built around three pillars: foundations, strategy development, and capstone research.

1. Foundations (Weeks 1-3)

Build tools and vocabulary: log returns, probability, risk metrics (Sharpe/Sortino), and time-series handling in C++. Implement benchmark strategies.

2. Strategies (Weeks 4-6)

Trend-following, mean-reversion, and pairs concepts. Work in small groups to prototype paper-traded strategies and interpret backtests critically.

3. Capstone (Weeks 7-10)

Propose, build, and refine a research project. Concludes with a written report and a presentation of findings and code.

Timeline at a Glance

🎟️ Dallas Fundraiser