Team behind HolyPoly
Prediction market research, quant methods, continuous learning, and an AI-first approach. Low hierarchy, open to new ideas, and embracing contrarian thinking.
Our mission is to give our users a realistic, sustainable, and profitable edge in prediction markets.
How we work
Prediction market research
Deep focus on how prediction markets behave, resolve, and where edge comes from.
Quant methods
Rigorous use of data and quantitative methods to improve signals and product.
Continuous learning & improvement
We keep learning and improving the product based on feedback and results.
ML models
Machine learning powers ranking, signals, and automation—shipped in production.
Customer-near communication
Staying close to users: support, feedback, and building what actually helps.
Low hierarchy
Flat structure. Open to new ideas from anyone. Questioning standard thinking.
Contrarian thinking
Embracing contrarian views when the data supports them—not following the crowd.
AI-first
We use AI where it adds real value: research, tooling, and product experience.
Who we are
Alexander Stahl
Founder of HolyPoly. Focused on prediction markets, quantitative methods, and building tools that give users a real edge—leaderboard, playbooks, and an ML-powered trading bot dedicated to prediction markets. Believes in continuous learning, staying close to customers, and using AI where it actually helps. Low hierarchy and open to contrarian ideas when the data backs them up.
Before HolyPoly, background in software and product. Now all-in on making prediction market analytics and copy-trading accessible and effective.