About Us
Oracle Trading is the University of Chicago's premier prediction markets trading and research club — where intellectual rigor meets real-money market participation.
Structure
Human judgment-driven research and position-taking. Members pitch and vote on positions based on original analysis of political, macro, and scientific prediction markets.
Relative-value and arbitrage strategies that exploit pricing discrepancies across Polymarket, Kalshi, and other prediction market venues simultaneously.
Systematic, backtested frameworks that execute without discretionary intervention. Models process polling data, news flow, and economic releases to generate trading signals at scale.
Latency-sensitive execution powered by Boostrun's compute cluster: 8 NVIDIA L40 GPUs, 30TB of storage, and 15,000 GB of RAM. Strategies operate at machine timescales on deep-liquidity CLOBs, with optimized signal processing and execution pipelines.
Education
Our new member curriculum is designed to take any smart, curious student from zero to capable prediction market trader in one quarter. No prior quantitative or finance background is needed.
How prediction markets work, order books, liquidity, bid-ask spreads, and the mechanics of CLOB-based platforms like Polymarket.
Python fundamentals through applied data analysis — scraping, cleaning, modelling market data, regression analysis, time series, and building quantitative models to inform position-taking.
Our next intake is TBD. We recruit quarterly. We look for intellectual curiosity and the desire to think in probabilities.