The exact math that made $40,000,000 out of Polymarket (Full roadmap)

Short summary

Polymarket arbitrageurs extracted $39.7M in guaranteed profits by applying constraint satisfaction and optimization algorithms to detect correlated market mispricings. Rather than simple price checks, systematic traders use Frank-Wolfe algorithms and integer programming to find market interdependencies in milliseconds. The edge lies in mathematical rigor and execution speed—winning requires sub-5ms latency systems within a 30-second detection window.

• •Quantitative traders extracted $39.7M from Polymarket using arbitrage detection, not prediction skill
• •The marginal polytope problem and Frank-Wolfe algorithms detect correlated mispricings across thousands of markets in milliseconds
• •Winning systems require sub-5ms latency WebSocket feeds, LLM market relationship classification, and flawless execution within 30 seconds

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