What Is Kalshi? Operator & Affiliate Explainer 2026

Kalshi is a CFTC-registered Designated Contract Market that lists regulated event contracts on a central order book, making it one of the few prediction-market venues operating with explicit US federal authorization. Users trade binary contracts on real-world outcomes across economics, politics, weather, and sports, where a contract priced at 70 cents carries an implied probability of roughly 70 percent for the stated event. For operators, Kalshi is the clearest working example of a compliant prediction-market model; for affiliates, it is a KYC-gated funnel where conversions are verified, funded accounts.

It lists regulated event contracts whose prices behave as an implied probability. This explainer is written for the operator and affiliate side, not for end users placing trades. It covers what Kalshi is, how its order-book model works, how contracts resolve, the regulatory significance of the Kalshi v. CFTC ruling and state pushback on sports contracts, and what a compliant model means for affiliate economics. For a side-by-side against the on-chain alternative, see our Kalshi vs Polymarket comparison.

What Is Kalshi?

Kalshi is a regulated exchange where people trade event contracts, financial instruments that pay a fixed amount if a specified outcome happens and nothing if it does not. It is registered with the Commodity Futures Trading Commission as a Designated Contract Market, the same regulatory category used by established futures exchanges. That registration is what separates Kalshi from informal or offshore prediction venues.

A CFTC-registered exchange

Registration is the defining fact: a federal regulator oversees Kalshi's conduct, reviews its framework, and holds it to exchange-grade standards. It is registered with the Commodity Futures Trading Commission as a Designated Contract Market, the same category of registration used by established futures exchanges.

An event contract

An event contract is a binary instrument that pays one dollar if a stated outcome occurs and zero if it does not. Each market on Kalshi is a yes/no question with a defined resolution source, and the contract trades between 1 and 99 cents. The full mechanics are covered in our event contracts explainer.

Prices as implied probability

A Kalshi price is an implied probability: a contract at 70 cents reflects a roughly 70 percent market-assigned chance of the outcome. The order book aggregates the collective judgment of participants into that single number, which is the core of information aggregation - markets translate dispersed opinions into a price that updates in real time as new information arrives. See our implied probability definition for the math.

How the order-book model works

Kalshi runs on a central limit order book, the same mechanism used by stock and futures exchanges. Participants post bids to buy and offers to sell at specific prices, and the exchange matches the best bid against the best offer. When you buy a yes contract at 70 cents, someone else is selling it at 70 cents, and the two sides clear through the exchange.

This central limit order book is the engine that pairs buyers and sellers at the best available price.

Order-book markets reward liquidity. The deeper the book and the higher the open interest, the tighter the spread between buying and selling, which makes the market more efficient and the displayed probability more reliable. This is different from an automated market maker model, where a pricing curve fills trades without a matched counterparty. Operators evaluating a build should understand that an order-book exchange requires a matching engine, market-making relationships, and the banking rails to settle in dollars.

How contracts resolve and settle

Resolution determines which Kalshi contracts pay $1 and which settle at $0, and every contract specifies in advance how it resolves: the exact outcome being measured, the data source that determines the result, and the settlement date. The exchange handles clearing, with winning yes contracts paying out at one dollar each and losing contracts settling at zero. Because the resolution source is defined before trading begins, disputes are constrained by the contract language rather than left to interpretation.

When the event concludes, market resolution follows those published terms and the exchange declares the settled result, rather than relying on an on-chain oracle such as the UMA optimistic oracle that on-chain venues like Polymarket use.

This pre-defined resolution is a meaningful operator lesson. Ambiguous market wording is the single most common source of post-settlement disputes in prediction markets. A regulated exchange invests heavily in precise contract specifications because a contested resolution damages trust and invites regulatory scrutiny. Any operator building a prediction-market product, regulated or not, should treat resolution-source definition as core product work.

Self-certification and the regulatory significance

Self-certification is the CFTC process that lets an exchange certify a new contract as rules-compliant before listing it, with the regulator able to review or challenge it. This mechanism is what allowed Kalshi to expand its contract catalog quickly, and it is also what placed certain categories under legal scrutiny.

Kalshi lists new contracts through self-certification, and the CFTC publishes its industry oversight framework for exchanges operating under this regime, while the SEC public statements mark where securities oversight of investment-style products may apply.

The 2024 Kalshi v. CFTC ruling, which addressed whether the exchange could list political-outcome contracts, was a defining moment for the regulated prediction-market model and clarified the boundary between event contracts and prohibited categories. Separately, Kalshi has received cease-and-desist letters from several state gaming regulators over sports-related contracts, reflecting a tension between federal commodities authority and state gambling law. For operators, the lesson is that regulatory status is contested terrain, not a fixed certificate.

What operators learn from a compliant model

Five concrete takeaways define the compliant model operators study in Kalshi: register with a competent regulator, run a transparent order book, define resolution sources precisely, KYC every user, and settle in regulated currency. The Kalshi model shows that a prediction market can operate inside a recognized regulatory framework rather than around it. This is the opposite of an on-chain, permissionless build.

We contrast the two approaches in our prediction-market platform build guide and across the wider operators landscape.

• Regulatory registration converts a wager-like product into a recognized financial instrument.
• An order book with deep liquidity produces tighter spreads and more credible probabilities.
• Pre-defined resolution sources reduce post-settlement disputes.
• KYC verification creates a clean qualification event for affiliate attribution.
• Federal authorization does not eliminate state-level regulatory exposure.

Event-contract affiliate economics on a regulated venue

A KYC-gated exchange pays affiliates on a clean qualification event: a verified, funded account. That makes a fixed payout per conversion straightforward, since the affiliate earns once the referred user completes verification and funds the account. Operators that want to align partner incentives with long-term value can layer a revenue-share component tied to trading-fee revenue.

In practice that is a CPA payout, optionally blended with RevShare. The choice between the two, and hybrids of both, is covered in our guide to CPA vs RevShare for prediction markets.

Running that program well requires accurate attribution from the referral click through to the KYC-completed account, commission logic that handles fixed and revenue-based payouts, fraud screening on referred traffic, and reporting that reconciles against the exchange's settlement records. Track360 provides affiliate tracking, commission management, and reporting for prediction-market operators, including those running a regulated, KYC-gated model where the qualification event is a verified account.