Orwell
A self-directed prediction-market trading book. I engineer probabilistic EV models and execution workflows in Python and Excel to detect mispricings across sports and event markets. Roughly 15% average monthly return to date.
Wharton & Math ’28. Currently building trading systems on prediction markets
A self-directed prediction-market trading book. I engineer probabilistic EV models and execution workflows in Python and Excel to detect mispricings across sports and event markets. Roughly 15% average monthly return to date.
A campus prediction market at Penn with a quantitative point-distribution system. Voted the top project in an MBA entrepreneurship class. Along the way, I found and responsibly reported privacy flaws in competing apps with millions of users.
200+ collectible trading cards featuring U.S. presidents, governors, and senators. Designed, produced, and sold through Etsy, Shopify, and in-person markets. Collaborations with a sitting U.S. Senator and creators with a combined 300K+ followers.
A YouTube channel covering the 2024 U.S. presidential race. Peaked at 13.6K subscribers, 2.9M+ views, 18M+ impressions, and a five-figure profit. Cited in a PhD student’s thesis on political discourse.
Co-founded an AI content-advisory platform using machine learning to improve YouTube comment sections.
I’m studying for a B.S. in Economics at the Wharton School and a B.A. in Mathematics at Penn. I grew up writing and debating about politics, inventing products that I wanted to use, and building YouTube channels. Most of what I build now leverages those interests in sectors that I believe have potential.
Outside of that: I'm a Yankees fan, I like calisthenics, chess, geography & history, and political campaign strategy.
Best by email at pryorc@wharton.upenn.edu. I’m always happy to talk to people building something interesting, thinking about similar markets as me (bonus if prediction markets), or looking to back early work.