Research & projects
Study market structure, machine learning, and data through practical, member-led work.

Princeton Quantitative Traders is a community for students exploring quantitative finance, market structure, data, and applied mathematics.





Members learn together through research, technical practice, and trading games designed to connect classroom thinking with real problems.
Study market structure, machine learning, and data through practical, member-led work.
Practice the probability, reasoning, and technical questions used in quantitative trading interviews.
Apply theory in market simulations and intercollegiate trading competitions.
An introduction to Princeton Quantitative Traders and the 2026–2027 application process, held in Lewis Center 138.
PQT's first trading competition. Students participated in eight rounds of a trading game using a price distribution, live market updates, and forced trades based on their positions.
A trading game hosted by COSCON and PQT where students bet on a bracket of teams using distributions of team attributes.
Undergraduate and graduate students from every background are welcome to take part in the community.
Ways to join