Launching the Agori × Old Mission Trading Competition

The Agori × Old Mission Trading Competition: What Students Need to Know

Algorithmic trading competitions are becoming a powerful way for students to gain real-world market experience. This semester, Agori is hosting a live trading competition at the University of Michigan in partnership with Old Mission, offering participants a hands-on look into systematic investing and performance-driven strategy design.

What Is the Agori Trading Competition?

The Agori trading competition is a structured, time-bound challenge where participants deploy algorithmic strategies in a simulated trading environment. Strategies are evaluated based on real market data, with performance measured using professional-grade metrics such as returns, risk, and consistency. The competition is designed to mirror institutional workflows while remaining accessible to student participants.

Why This Competition Matters

Students gain exposure to how quantitative strategies are built, tested, and evaluated in real market conditions. By working within defined constraints and competing on measurable outcomes, participants develop practical skills in strategy design, risk management, and decision-making under uncertainty. The partnership with Old Mission adds industry context and reinforces the competition’s real-world relevance.

What Participants Are Evaluated On

Strategies are ranked based on a combination of total returns and risk-adjusted performance metrics. Participants must consider drawdowns, volatility, and robustness rather than focusing solely on short-term gains. The competition rewards disciplined strategy construction and thoughtful risk control.

Who Should Participate

The competition is open to students interested in finance, quantitative trading, data science, economics, or engineering. Prior trading experience is not required, but curiosity about markets and a willingness to learn systematic thinking are essential.

Conclusion

The Agori × Old Mission trading competition offers University of Michigan students a unique opportunity to engage with algorithmic trading in a structured, performance-driven setting. By combining live market data, professional evaluation metrics, and institutional insight, the competition bridges the gap between academic learning and real-world investing.

Additional Information

More details on participation, competition structure, and timelines will be shared ahead of the launch. Students are encouraged to stay tuned for updates and prepare by exploring basic concepts in algorithmic trading and risk management.