Liquidity in Prediction Markets
Liquidity is one of the most important practical considerations in prediction market trading. A market can have the best edge in the world, but if it's illiquid, you can't capture it.
Components of Liquidity
Liquidity has three dimensions:
- Spread: How much it costs to cross from buy to sell
- Depth: How many contracts you can trade at reasonable prices
- Resilience: How quickly the orderbook replenishes after a large trade
Liquidity Varies Widely
On Kalshi, top political and economic markets (presidential elections, CPI, Fed rates) might have $100K+ of depth. Niche markets (specific weather events, obscure economic data) might have $500 or less. The difference is enormous.
Why Prediction Markets Are Less Liquid Than Traditional Markets
Prediction markets are younger, have fewer participants, and often have regulatory restrictions that limit market maker activity. This creates both a challenge and an opportunity:
- Challenge: You can't always trade the size you want
- Opportunity: Illiquidity itself creates edge. Prices in illiquid markets are less efficient, meaning they deviate further from true probabilities.
Checking Liquidity
The CLI provides liquidity data in several places:
sf scanincludes a liquidity score (A-D) for each marketsf depthshows the full orderbooksf marketshows 24h volume and open interest