Ryan Siegal
Founder and Principal
Biography
Ryan Siegal is the founder and principal of Rankquant. Fifteen years of quantitative finance preceded the publishing work: founder of a multi-strategy hedge fund returning 14% on average against $12M AUM, and event-driven / merger-arbitrage trader at Alpine Global with 25–35% annual returns. Now applies Python and AI/ML to investment research and systematic process improvement at Relentless Upside Consulting. Washington University in St. Louis alum. The Rankquant methodology — per-reviewer z-scoring, source-weighted aggregation, 90% CI-floor ranking, empirical-CDF percentiles — is the same statistical toolkit used in trading systems, applied to consumer review data where the field has been making do with raw averages for thirty years. Also publishes a 30-site network of evidence-reviewed consumer knowledge bases including aipulled.com (24 topical KBs), firstdoorkey.com (FSBO real-estate guide), and hypotheticalhistorian.com. Based in New York.
Areas of expertise
- Statistics
- Quantitative Investing
- Event-Driven Strategies
- Merger Arbitrage
- Bayesian Inference
- Confidence Intervals
- Meta-analysis
- Python
- AI/ML
- Hedge Fund Management
- Consumer Reviews
- Rating Systems