Definition
A market maker is a participant who continuously posts both buy and sell orders on a contract, standing ready to trade with anyone. By quoting both sides, the market maker supplies liquidity and earns the bid-ask spread as compensation – a role that has grown more valuable as the venues themselves scale, with Kalshi reporting roughly 2 million monthly users and a $22 billion valuation by May 2026, its third billion-dollar raise in seven months, according to the New York Times.
Market makers are the participants who keep a prediction market tradeable. Rather than betting on one outcome, they quote a price to buy and a price to sell at the same time, so there is always a counterparty on the other side of your order. Their importance has only grown as the industry has scaled: Kalshi first raised a $185 million Series C at a $2 billion valuation on June 25, 2025, per The Block, then expanded to 140 countries after an October 2025 raise of $300 million at a $5 billion valuation, and pulled in another $1 billion at a $22 billion valuation in March 2026, led by Coatue Management, per Yahoo Finance. Understanding market makers’ role explains why some markets are cheap to trade and others are not.
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What a Market Maker Means
A market maker posts a resting bid and a resting ask on a contract at the same time. For example, a maker might offer to buy YES at $0.48 and sell YES at $0.52. The 4-cent gap is the spread the maker hopes to capture: buy low from sellers, sell high to buyers, and pocket the difference across many round trips.
In doing so, the maker provides liquidity – the standing supply of orders that lets other participants trade instantly. Without makers, a buyer might have to wait for a matching seller to appear. With them, there is almost always a price to hit. Makers are said to “provide” liquidity, while participants who cross the spread to trade immediately are said to “take” it.
On some platforms, market making is automated. An automated market maker, or AMM, uses a formula tied to a liquidity pool – often an LMSR, or logarithmic market scoring rule – to quote prices continuously, adjusting them as participants trade. That’s the model behind pooled-liquidity venues like Polymarket, which was reportedly negotiating fresh funding at a $12 billion to $15 billion valuation in October 2025, according to Reuters and TechCrunch, and it has since spread across a wave of 2026 launches: Gensyn’s Delphi went live on an LMSR AMM charging a 2 percent volume fee in April 2026, per Bitcoin.com, while Predixa raised $5.5 million in pre-launch funding as an AMM-backed platform by July 2026, per Bitget News. Blokotech’s BlokoPredict followed with LMSR-based continuous pricing on August 18, 2026, Slotegrator’s Predictor engine debuted its own AMM/LMSR pricing on May 7, 2026, per Yogonet, and Predigy Edge launched a proprietary LMSR engine built for state-regulated markets on March 9, 2026, per Globe Newswire. Whether human or algorithmic, the maker’s function is the same: keep the book stocked and take on inventory risk in exchange for the spread.
The Market Maker in Practice
Imagine a maker quoting a hypothetical contract: buy YES at $0.48, sell YES at $0.52. Over an hour, ordinary participants trade against those quotes.
- A seller hits the maker’s $0.48 bid, so the maker buys 100 shares for $48.
- A buyer lifts the maker’s $0.52 ask, so the maker sells 100 shares for $52.
- The maker is now flat – back to zero net position – and has captured $4 on the round trip.
Repeated across hundreds of trades, that 4-cent edge adds up – though how that edge gets split increasingly depends on the platform’s own rules: Gensyn’s Delphi, for instance, burns 70 percent of the trading fees its AMM collects, routes 29 percent to a treasury, and has paid market creators 1.5 percent of volume on settlement since April 2026, per Bitcoin.com. The catch is inventory risk: if news breaks and the true probability jumps to 70 percent while the maker is still holding YES shares bought at $0.48, the position can move either way before the maker rebalances. Makers manage this by quoting tighter spreads in calm, liquid markets and wider spreads in volatile or thin ones, where the risk of being caught on the wrong side is higher.
Why It Matters for Traders
Market makers are why you can trade at all in most contracts. Their presence tightens spreads and deepens the book, which lowers the cost of entering and exiting a position. That depth matters more as volumes climb: Kalshi’s valuation doubled from $5 billion to $11 billion in under two months after a $1 billion raise in November 2025, TechCrunch reported, while rival Polymarket saw its own AMM-based trading get a boost after enabling direct bitcoin deposits on October 6, 2025, the day BTC touched $126,000, per Bitcoin.com – growth that puts real strain on the market makers expected to keep those order books liquid. When you place a market order and it fills instantly near the quoted price, a maker is usually the counterparty. The healthier the making activity, the cheaper the market is to trade.
Recognizing making activity also helps you read a market’s quality. Contracts with tight, deep, two-sided quotes are attracting makers and are efficient to trade. Contracts with wide spreads and shallow books have little making interest, which signals higher trading costs and more slippage. The capital chasing this liquidity has surged right alongside it: investor offers valued Kalshi above $10 billion in October 2025, just weeks after its $5 billion round, Bloomberg reported, and by December 2025 its Series E had raised $1 billion at an $11 billion valuation – a figure that would itself double toward $22 billion-plus by May 2026 on the back of continued user growth, per the New York Times and TechCrunch. Some experienced participants become makers themselves, posting limit orders on both sides to earn the spread rather than paying it.
Related Terms
- Liquidity – the standing supply of orders makers provide.
- Order Book – where makers post their two-sided quotes.
- Kalshi vs Polymarket – order-book versus pooled-liquidity models compared.
Prediction markets involve financial risk. You can lose the full cost of any position.
