Project Paradise

Part of Elphinstone Research Group

Student-led quantitative research and trading competition project


What We Do

Hands-on experience in quantitative finance through projects, competitions, and research

Projects

Build backtesting platforms, ML models, and trading systems. Learn Python, Docker, and related technologies.

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Competitions

Participate in trading competitions from firms like Citadel, Jane Street, and IMC.

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Community

Team of students and experienced mentors working on quantitative finance projects.

Meet the Team

Current Projects

Platform

Student-focused backtesting platform

Tool for data loading and report compilation for strategy hypothesis testing.

Python Docker Library Development

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Research Publications

Student-led research papers

Original research and publishing in quantitative finance and algorithmic trading.

Python Research

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Internship Prep Platform (TBC)

Agent-forward interview prep

LLM-powered platform that curates technical interview preparation from given resources.

TypeScript Python LLM

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Current Competitions

German Electricity

Ensimag IF

Energy market price forecasting.

Python Time Series ML

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LOB Prediction

Predictorium (Wunderfund)

Limit order book modeling from market data.

Python Market Microstructure ML

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Competitions

We participate in quantitative trading competitions and data science challenges from top firms. Check out our documented strategies and upcoming competitions.

Browse Competitions View Write-Ups

Learning Resources

Books & Courses

Readings in statistics, ML, and finance. Online courses from Stanford and other institutions.

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Interview Prep

Practice platforms, mental math tools, and books for quant trading interviews.

Prep Materials

Competition Guides

Strategies and tips from experienced competitors for trading competitions.

Winning Strategies

Join Us

Students

Work on real projects, participate in trading competitions, and learn from experienced mentors. We welcome students at all experience levels - willingness to learn is what matters most.

Python C++ Finance Mathematics Machine Learning

Supervisors

Industry professionals can join as mentors to guide students through projects, review code, and share real-world experience. Flexible time commitment.

Apply Now Meet the Team

Contact

Connect on LinkedIn ERG LinkedIn

Project Paradise - Part of Elphinstone Research Group