Chambers Street Research is a student-run, multi-strategy research group focused on probability, markets, and systematic decision-making.
We develop quantitative frameworks to understand and act on market behavior across prediction-driven and data-rich environments.
About
HistoryFounded in 2025 in New York, New York, Chambers Street Research began as a small group of students seeking a more applied and quantitative approach to understanding markets.
With early support from the Westbury United Methodist Church, the group was able to establish its initial structure and begin developing its research and educational framework. Since then, it has grown into a multi-strategy research group focused on probability-based analysis, prediction markets, and systematic thinking.
MissionOur mission is to provide hands-on experience in quantitative research, strategy development, and portfolio thinking.
We aim to equip members with the technical and analytical skills needed to navigate modern financial markets, while fostering disciplined thinking, independent problem-solving, and a deeper understanding of how markets function under uncertainty.
Research
Prediction MarketsWe study short- to mid-term opportunities in prediction markets, focusing on market mispricing, information flow, and event-based probability.
Quantitative ResearchMembers develop and test frameworks using statistics, probability, and market analysis to identify and evaluate trading opportunities.
Strategy DevelopmentWe emphasize systematic thinking, backtesting, and decision-making processes that can be refined over time.
Portfolio ThinkingOur group approaches research through the lens of risk, return, diversification, and uncorrelated opportunity sets.
Education
Foundational TrainingAt the start of each semester, members are introduced to probability, statistics, market structure, and research process.
Applied LearningStudents gain experience through research projects, testing ideas, and contributing to strategy development.
Advanced Topics
Event-driven trading, forecasting, derivatives, market microstructure, and quantitative risk.
Skill DevelopmentFocus on communication, discipline, and decision-making under uncertainty.
Team
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Contact
ApplicationsFor applications, we welcome students from all backgrounds, particularly those in finance, accounting, business, science, technology, engineering and mathematics. Please send your resume to join@csr.exchange
InquiresFor general inquiries, including press, university coverage, collaboration, outreach, competitions, events, or supporting our mission as a donor, please email contact@csr.exchange
SocialsFor updates, networking, and following our work and events, visit our LinkedIn and Instagram.