Become a Prediction Markets Quant

Prediction markets are exchanges where you buy and sell contracts that resolve to $1 if an event happens and $0 if it does not. The price — quoted in cents — represents the crowd's implied probability. A contract at 65¢ means the market thinks there is a 65% chance the event resolves YES. Platforms include Kalshi, Polymarket, DraftKings Predictions, and FanDuel Predicts.

You make money by finding contracts where the market price is wrong relative to the true probability — positive expected value (EV). If the market prices an event at 40¢ but you estimate the true probability is 55%, that is a +16.8% edge. Over enough trades, positive EV compounds into profit. The tools on this site — EV calculator, Kelly sizing, arb scanner, and more — are built to find and size these edges.

The Kelly Criterion is the mathematically optimal formula for sizing a position given your edge and the payout. In prediction markets: f* = (p×b − q) / b, where p is your win probability, q = 1−p, and b is the net payout odds. Professional traders typically use half or quarter Kelly to reduce variance. Never size full Kelly without very high confidence in your probability estimate.

Kalshi is a CFTC-regulated US exchange — legal in most states, real cash, federally licensed. Polymarket is a crypto-based decentralized prediction market — broader market selection, larger volumes on political and macro events, but requires a crypto wallet and is not regulated in the US. Both price the same events, which creates arbitrage opportunities when their prices diverge.

A prediction markets quant treats every contract as a probability problem instead of a hunch. The workflow is a six-step loop: estimate your own fair probability, convert the market price into an implied probability, compare the two to find the gap, net that gap against spread and fees, size the position with fractional Kelly, then repeat. The math is identical to what bond and options desks run — the difference is that prediction markets quote probability directly in cents, so the framework is unusually clean to apply.

Yes. The core toolkit is five formulas — expected value, implied probability, Bayesian updating, base rates, and the Kelly criterion — and every one of them has a free calculator on this page. You do not need a quant job or a degree; you need a fair-value estimate, the discipline to net costs before calling something an edge, and a sizing rule that keeps you in the game. Start with expected value, then layer in sizing and mispricing detection as you go.