# What is a prediction market? A clear guide for 2026

> A prediction market is an exchange where people trade on future events, and the price works as a probability. How it works, who runs them, why they matter.

Sep 29, 2026 · Markets · Sikt Intelligence · https://www.siktintelligence.com/blog/what-is-a-prediction-market

A **prediction market** is an exchange where people buy and sell contracts on the outcome of future events, such as an election, a central bank decision or a product launch. Each contract pays out if the event happens. **Because of that, its price works as a probability: a contract trading at 30 cents on a $1 payout means the market sees roughly a 30% chance.**

In 2026 prediction markets went mainstream. Search interest in Kalshi alone rose by over 1,500% in a year ([Rising Trends](https://www.risingtrends.co/trends/investing-trends-2026)). This guide explains what they are, how they differ from betting and polls, and why forecasters take them seriously.

## The idea in one example

Take the question *"Will the Democrats win the House in 2026?"*

- A **Yes** contract pays $1 if they do, and $0 if they don't.
- If Yes trades at **91¢**, the market is saying: about a 91% chance.
- If you think the real chance is higher, you buy Yes. If you think it is lower, you sell or buy No.

Every trade is a small bet on whether the price is too high or too low. Together, thousands of them pull the price toward what the best-informed traders believe. You can see this question, with live prices from two markets, on our [2026 midterm odds page](/odds/2026-midterm-election-odds).

For the full mechanics of order books, Yes and No contracts and settlement, see [how prediction markets work](/blog/how-prediction-markets-work).

## Why the price is a probability

A contract that pays $1 in one outcome and nothing in the other is worth, to a rational trader, roughly *the probability of that outcome times $1*. If a price drifts away from the true odds, someone who knows better can profit by trading it back. That incentive is what turns a market into a forecast.

In practice the price is an approximation, bent by fees, the gap between buy and sell prices, and a known tendency to overprice long shots (the [favorite-longshot bias](/blog/favorite-longshot-bias)). We explain how to read it precisely in [prediction market odds, explained](/blog/prediction-market-odds-explained).

## A short history

- **1988:** the University of Iowa opens the **Iowa Electronic Markets**, small real-money markets on US elections run for research. Over five presidential elections, their prices were closer to the final result than polls 74% of the time ([Berg, Nelson and Rietz, 2008](https://www.biz.uiowa.edu/faculty/trietz/papers/long%20run%20accuracy.pdf)).
- **2004:** economists Justin Wolfers and Eric Zitzewitz review the evidence and find that market forecasts are typically fairly accurate ([Journal of Economic Perspectives](https://www.aeaweb.org/articles?id=10.1257%2F0895330041371321)).
- **2008:** 22 prominent economists, including four Nobel laureates in economics, publish "The Promise of Prediction Markets" (as described in [Bürgi, Deng and Whelan](https://www.karlwhelan.com/Papers/Kalshi.pdf)).
- **2020:** **Kalshi** becomes the first US exchange approved by the Commodity Futures Trading Commission (CFTC) to trade event contracts ([CFTC](https://www.cftc.gov/PressRoom/PressReleases/8302-20)). **Polymarket**, a crypto-based market, launches the same year.
- **2024:** around **$3.7 billion** is wagered on the US presidential election on Polymarket alone ([Cutting et al., Vanderbilt](https://arxiv.org/html/2507.08921)).
- **2026:** prediction markets become one of the year's biggest investing trends, and courts and regulators race to set the rules.

## Four kinds of prediction platforms

| Type | Examples | Money | Notes |
|---|---|---|---|
| Regulated exchanges | Kalshi | Real money (dollars) | CFTC-regulated in the US |
| Crypto-based markets | Polymarket | Real money (stablecoins) | Global; US access through a regulated affiliate since 2025 |
| Play-money markets | Manifold | Play money | Anyone can create questions |
| Forecasting platforms | Metaculus, Good Judgment Open | No trading | Forecasters submit probabilities and are scored |

Only the first two are markets in the strict sense, with prices set by trading. Forecasting platforms produce probabilities without betting, and their best participants, the [superforecasters](/blog/ai-vs-superforecasters), are the benchmark AI forecasters are measured against.

## What people use prediction markets for

- **Following the odds.** Journalists, analysts and the curious read prices as a live forecast of elections, rates and world events.
- **Hedging.** A business exposed to a rate decision or an election can offset some of that risk.
- **Forecasting inside companies.** Some firms run internal markets to forecast sales or project deadlines.
- **Speculating.** Many traders simply bet on what they think will happen. Much of the volume on the largest platforms is on sports.

## Prediction markets vs. betting vs. polls

- **Versus sports betting:** a sportsbook sets the odds and takes the other side of your bet. A prediction market matches you with other traders. We cover the difference in [event contracts, explained](/blog/event-contracts-explained).
- **Versus polls:** a poll measures what people think today. A market prices what will happen, and traders can use polls as one input among many. See [prediction markets vs. polls](/blog/prediction-markets-vs-polls).

## Are they accurate?

Often, and sometimes impressively, but not everywhere. Markets do well on liquid, high-profile questions, less well on thin markets and long shots, and they can be confidently wrong, as on Brexit in 2016. The evidence is in [how accurate are prediction markets?](/blog/how-accurate-are-prediction-markets)

## How Sikt fits in

Sikt Intelligence is building an [AI superforecaster](/blog/what-is-an-ai-superforecaster): AI that researches a question and gives its own calibrated probability. We show it next to the market price, because **when the two disagree, the gap is the signal**. Explore live market odds on the biggest events on our [odds page](/odds). Nothing here is financial advice.

## Key takeaways

- A prediction market is an exchange for contracts on future events; each contract pays $1 if the event happens.
- The price works as a probability: 30¢ means roughly a 30% chance.
- They date back to the Iowa Electronic Markets in 1988; Kalshi and Polymarket brought them mainstream.
- They are often accurate on big, liquid questions, and weaker on thin markets and long shots.
- Read market prices alongside evidence-based forecasts, not instead of them.

## FAQ

### What is a prediction market in simple terms?

A place where people trade on whether future events will happen. A contract pays $1 if the event happens, so its price in cents is roughly the market's probability in percent.

### Is a prediction market the same as gambling?

Legally and structurally it is different: in the US, regulated prediction markets are overseen by the CFTC as exchanges for event contracts, and traders trade against each other rather than against a bookmaker. Whether some contracts, especially on sports, count as gambling under state law is being decided in the courts in 2026.

### What are the biggest prediction markets?

Kalshi and Polymarket are the largest in 2026. Kalshi is a CFTC-regulated US exchange; Polymarket is a global, crypto-based market with a regulated US affiliate.

## Sources

- Rising Trends: [Top Investing Trends in 2026](https://www.risingtrends.co/trends/investing-trends-2026)
- Berg, Nelson and Rietz (2008): [Prediction market accuracy in the long run](https://www.biz.uiowa.edu/faculty/trietz/papers/long%20run%20accuracy.pdf), International Journal of Forecasting
- Wolfers and Zitzewitz (2004): [Prediction Markets](https://www.aeaweb.org/articles?id=10.1257%2F0895330041371321), Journal of Economic Perspectives
- CFTC: [CFTC Designates KalshiEX LLC as a Contract Market](https://www.cftc.gov/PressRoom/PressReleases/8302-20) (2020)
- Cutting et al. (2025): [Are Betting Markets Better than Polling in Predicting Political Elections?](https://arxiv.org/html/2507.08921)
- Bürgi, Deng and Whelan (2026): [Makers and Takers: The Economics of the Kalshi Prediction Market](https://www.karlwhelan.com/Papers/Kalshi.pdf)