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AI Bots, Prop Firms Reshape Polymarket, Kalshi Liquidity Race

Edge on event contracts is migrating from retail to desks with faster infrastructure; the Fed's July 29 hold, with 87% priced on Kalshi, is the first test of whether that flywheel holds at scale.

Prop trading firms, market makers and AI agents are reshaping liquidity on Polymarket and Kalshi, turning what was once a retail-friendly arbitrage into an infrastructure race. Combined monthly volume across the two venues peaked at $13.7B in June and is already past $11B in July, with Kalshi's annualized volume tripling over six months to $178B. Kalshi says institutional volume climbed 800% and the venue just executed its first customized block trade, a signal that liquidity providers are now committing size on both sides of the book.

The access layer is filling out fast: Clear Street wires institutional clients to Kalshi, Marex works across both venues' infrastructure, and Jump Trading helps desks reach event markets directly. AQR, Susquehanna and OKX have advertised specialist prediction-market roles on top of that build-out, and corporate treasuries are testing the same contracts to hedge tariff and regulatory exposure.

Why it matters

Edge on event contracts rewards a skill that is unusually legible: pricing probability better than the crowd on a defined resolution. Louis Régis, founder of on-chain prop firm Propr and a former Credit Suisse quant, argues that bounded-risk, rule-resolved outcomes let allocators isolate trader skill more cleanly than a directional P&L record does. The Foresight Arena benchmark estimates that confirming a genuine two-point edge takes around 350 resolved binary predictions, and a one-point edge roughly four times that, which means short winning streaks on a handful of Fed or election contracts can still come from correlated positions or lucky event picks.

AI agents fit the format naturally. Each contract follows a fixed structure, produces an observable price, and resolves against a set rule, so an agent can reprice continuously, minute by minute. The Prediction Arena benchmark gave six frontier models $10K each to trade autonomously on Kalshi and Polymarket between January 12 and March 9; the models lost between 16% and 30.8% on Kalshi and averaged a still-negative 1.1% return on Polymarket, a reminder that forecasting accuracy does not automatically convert to expected profit without a proper betting strategy and enough liquidity to execute.

Market impact

Propr plans to extend its evaluation model to Polymarket, letting traders and AI agents qualify for accounts up to $100K and hold as much as $300K across multiple accounts with an 80% profit share.

Frequently asked questions

  1. Why is edge on Polymarket and Kalshi shrinking for casual traders?

    Prop trading firms, quantitative shops and AI agents are now quoting both sides of event-contract order books around the clock. Their infrastructure reprices faster than retail can react, so the mispricings that once paid casual traders are getting closed before they can be traded.

  2. How much volume are prediction markets doing now?

    Combined monthly volume across Kalshi and Polymarket peaked at $13.7B in June, with July already past $11B. Kalshi's annualized volume more than tripled over six months to $178B, and the venue says institutional volume climbed 800% and completed its first customized block trade.

  3. What is Propr and how does its evaluation model work?

    Propr is an on-chain prop firm founded by former Credit Suisse quant Louis Régis. It evaluates traders and AI agents on event contracts, plans to extend to Polymarket with accounts up to $100K and up to $300K across multiple accounts, and offers an 80% profit share. About 5% of its signals are A-booked onto a live…

  4. How well did AI agents actually perform on prediction markets?

    The Prediction Arena benchmark gave six frontier models $10K each to trade autonomously on Kalshi and Polymarket between January 12 and March 9. The models lost between 16% and 30.8% on Kalshi and averaged a still-negative 1.1% return on Polymarket, showing that forecasting accuracy alone does not convert to expected…

  5. Why does the Fed meeting matter for prediction-market liquidity right now?

    The Fed's July 28 to 29 decision is already priced at 87% for a hold at 3.50% to 3.75% on Kalshi, with about $29.7M in volume on that contract. The real competition is in the remaining 13% tail and in the repricing that follows July 30's advance GDP and the August 7 employment report, where whoever prices the surprise…

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