Trading the same event across multiple platforms to find price discrepancies, arbitrage, or better odds.
Cross-platform trading involves monitoring the same event contract across multiple prediction markets to exploit price differences. When Kalshi prices an event at 60% and Polymarket at 55%, there's a 5% price discrepancy.
Strategies include: direct arbitrage (buy Yes on the cheap platform, buy No on the expensive one), fee arbitrage (same price but lower fees on one platform), and value hunting (one platform is consistently more efficient than another).
Challenges: different fee structures, settlement timing differences, and the need to maintain funded accounts on multiple platforms.
Betting both sides of a market across different books to lock in a guaranteed profit regardless of the outcome.
Prediction MarketAn exchange where participants trade contracts based on the outcome of future events, with prices reflecting collective probability estimates.
SlippageThe difference between the expected price and the actual execution price, usually caused by thin liquidity or large order sizes.