Political prediction markets: elections, confirmations, and geopolitics
The biggest category on both Polymarket and Kalshi. How political prediction markets are priced, resolved, and traded profitably.
Why political markets dominate
Political markets are the largest category on Polymarket and the most-watched on Kalshi. The 2024 US presidential election saw Polymarket volume exceed $3.6 billion, and Kalshi hit record single-day trading after the Fifth Circuit's October 2024 ruling allowed political event contracts.
How political markets are structured
Most political markets resolve as binary YES/NO outcomes: "Will X win the election?", "Will Y be confirmed?". Some markets are multi-outcome ("Who will win the GOP primary?") — on Polymarket, these are implemented as a set of mutually-exclusive binary contracts whose YES prices should sum to approximately 1.
On Kalshi, multi-outcome markets are handled similarly via parallel contracts. On both platforms, the resolution oracle is the question author (for Polymarket: UMA's optimistic oracle; for Kalshi: the exchange's internal resolution team, with external sources named in the market rules).
Where the edge is
1. Polling translation. Raw polls are noisy. Markets aggregate polling, fundamentals, and qualitative information. Your edge may come from being better than markets at interpreting poll movement.
2. Liquidity seasons. Off-season political markets often have lazy pricing. Markets tighten as the event approaches.
3. Overreaction to narrative. Debate reactions, scandal cycles, and breaking news often move markets more than the underlying probability shifts.
Resolution risks
Political markets can have ambiguous resolution. Example: "Will the candidate serve a full term?" has vague boundaries. Always read the resolution criteria before trading.