A prediction market turns uncertainty into a tradable price. Instead of asking people what they think will happen, it lets them put money behind a specific outcome. A binary contract might trade at 70 cents and pay $1 if the event occurs or $0 if it does not, so the price is commonly read as a roughly 70% market-implied probability. But that shorthand hides the mechanics that matter most to a trader: order-book liquidity, fees, contract wording, settlement sources, regulation and the fact that a 70% market can still be wrong three times out of ten.

The Basic Mechanic: Buy a Claim on an Event

The simplest prediction market asks a binary question: Will event X happen by a specified time under a specified definition? Traders can take a YES position if they think the event will occur or a NO position if they think it will not. The standard U.S. regulated event contract commonly pays $1 to the winning side and $0 to the losing side.

Suppose a contract asks whether the Federal Reserve will cut its target rate at the next meeting. YES trades at 70 cents. If you buy one YES contract for $0.70 and the contract resolves YES, you receive $1 and earn $0.30 before fees. If it resolves NO, the contract is worth $0 and the entire $0.70 purchase price is lost.

The CFTC describes these contracts as event contracts, typically structured as derivatives whose value comes from an event outcome. They can be used either to speculate or to hedge a real-world risk. A business exposed to weather, policy or economic releases could theoretically use an event contract to offset some of that exposure.

Figure 1. The basic lifecycle of a binary prediction market, from question design and trading to final $1/$0 resolution.

Why Does 70 Cents Mean “About 70%”?

The probability interpretation comes from the payoff. A contract that pays $1 if an event occurs has a simple expected-value benchmark. If a perfectly informed, risk-neutral trader believed the event had a 70% chance of occurring and there were no fees, liquidity frictions or financing costs, paying around $0.70 would produce roughly zero expected excess profit.

That is why prediction-market prices are often displayed as probabilities. Kalshi, Robinhood and Polymarket all explain prices this way. Polymarket’s international platform, for example, says its displayed probability normally uses the midpoint of the best bid and ask unless the spread becomes unusually wide, while Kalshi’s order book exposes the actual resting bids and offers.

But price is not probability in a metaphysical sense. It is the price at which marginal buyers and sellers are willing to trade. Risk preferences, wealth constraints, fees, limited liquidity, participant bias and contract ambiguity can all push the price away from the true probability. Academic research has generally found useful forecasting performance, but it has also documented favorite-longshot bias, especially when events are far from resolution.

So a 70-cent price should be read as ‘the market is currently pricing this outcome near 70%’ rather than ‘the outcome has objectively been measured at a 70% probability.’

The Payoff Is Simple, but the Return Profile Is Not

Binary contracts create an asymmetric return profile. The cheaper the contract, the greater the percentage gain if the unlikely outcome happens—and the more often the market expects that position to lose.

Figure 2. Gross return on amount risked if a standard $1 binary contract resolves in your favor. Fees are excluded.

A 10-cent contract can return 90 cents of profit on 10 cents risked, a 900% gross return. At 90 cents, the most you can make is 10 cents, or 11.1% on the amount risked. This is not a free asymmetry. The cheap contract is cheap because the market considers the outcome unlikely.

The break-even rule is straightforward before costs: if you buy YES at price P and hold to settlement, your own probability estimate must exceed P for the trade to have positive expected value. If you think a 70-cent contract really has an 80% chance, your expected gross value is 0.80 × $1 = $0.80 against a $0.70 cost, or 10 cents of expected value per contract before fees. If you think the probability is only 65%, the same trade is negative expected value even though you believe YES is still more likely than NO.

You Are Usually Trading Against Other Participants, Not “the House”

A regulated exchange-style prediction market differs economically from a traditional sportsbook in one important respect: the exchange does not need the event to resolve one way or another to make money. It operates the venue, matches orders and charges fees. The CFTC explicitly describes regulated exchanges and intermediaries as outcome-neutral rather than competing against the customer.

Kalshi says its revenue comes primarily from transaction fees rather than taking positions on outcomes. On Polymarket’s international order-book model, opposing orders can create fully collateralized YES and NO shares when their prices sum to $1. Robinhood acts as an access layer through Robinhood Derivatives and routes event contracts to CFTC-regulated exchanges.

This does not eliminate conflicts or trading risk. Exchanges have incentives to increase volume, market makers earn spreads or incentives, and platforms design which contracts appear in front of users. But the core exchange model is different from a bookmaker setting a line and directly bearing the customer’s winning claim.

Order Books Matter More Than the Big Probability Number

Prediction-market apps often display a single percentage because it is intuitive. Traders should look one layer deeper at the order book.

Suppose the screen says YES is around 70%. The best seller may be offering only 500 contracts at 70 cents, with the next 500 at 72 cents, another 1,000 at 75 cents and the rest at 80 cents. A small order can trade close to 70. A large market order consumes multiple price levels and produces a higher average entry price.

Figure 3. Illustrative order book showing how a large immediate order can push the average entry price above the headline quote.

In the illustration, buying 100 contracts costs 70 cents each. Buying 1,000 averages 71 cents. Buying 2,500 averages 74.4 cents. The displayed probability may therefore be useful as a forecasting signal while still being an unrealistic execution price for a large trader.

Kalshi’s own quick-order documentation makes the same point: if only part of an order is available at the best price, the remainder executes at the next available levels. This is ordinary market microstructure, but it matters especially in niche prediction markets where depth can be much smaller than in stocks or major futures.

Fees Raise the Probability You Need to Be Right

Fees are another reason the displayed price is not your exact break-even probability. Kalshi’s general fee structure charges transaction fees based on expected earnings and the contract price, with market-specific schedules possible. Polymarket currently uses category-dependent taker fees on many international markets while makers are generally not charged and may receive rebates. Robinhood can add its own commission as well as the exchange fee.

Consider Robinhood’s own example: a YES contract at 47 cents with a 1-cent exchange fee and 1-cent Robinhood commission costs 49 cents in total. The maximum settlement value is still $1, so maximum profit falls from 53 cents before fees to 51 cents after entry costs. The true break-even probability on a hold-to-resolution basis is therefore closer to 49% than the displayed 47%, even before considering any fee to exit early.

For active trading, bid-ask spread and two-sided fees can matter more than the headline platform fee. A trader who buys at the ask and later sells at the bid pays an implicit liquidity cost even if the fundamental probability has not changed.

You Do Not Have to Wait for the Event to End

Event contracts can generally be traded before settlement. That makes a prediction market a market in changing expectations, not merely a one-time wager.

If you buy YES at 40 cents and new information pushes the market to 65 cents, you may be able to sell and realize roughly 25 cents per contract before fees without waiting to see whether the event ultimately occurs. The opposite is also true: a 70-cent position can fall to 35 cents long before the final outcome, creating a mark-to-market loss even though the event is still unresolved.

This creates a second trading question beyond ‘will I be right at the end?’ A trader can instead ask ‘will the market revise its probability in my direction before the event ends?’ That is closer to ordinary trading logic: price discovery, catalysts and timing matter.

Resolution Rules Are the Contract

A prediction market is only as precise as its resolution language. The headline question is not always legally decisive. The contract terms specify the exact threshold, time window, data source and edge cases that determine whether YES or NO wins.

Kalshi says each contract identifies the information source used to determine the outcome and can take from roughly one hour to more than twelve hours after market closure to finalize, depending on when the source data arrive. Robinhood tells users that the exchange’s specified data source is final and that Robinhood cannot override the exchange simply because a third-party sports app or news source shows something different.

Polymarket’s international platform uses a different resolution architecture. Its markets define a resolution source and can be proposed for resolution through UMA’s optimistic oracle. A proposed result can be challenged during a two-hour period, after which disputed cases can move through a longer voting process.

This is one of the largest practical risks for inexperienced users: you can predict the real-world narrative correctly and still lose if the formal contract asks a narrower question. Reading the resolution rule is therefore equivalent to reading an option’s strike, expiry and settlement specification.

Prediction Markets Are Now a Real Retail Trading Category

Prediction markets have moved beyond academic experiments. Robinhood says more than 12 billion event contracts traded through its platform in all of 2025, while Q2 2026 alone reached 13.6 billion contracts. The company has called prediction markets its fastest-growing product line by revenue.

Figure 4. Robinhood disclosed 13.6 billion event contracts traded in Q2 2026, exceeding its entire 2025 volume of 12 billion.

The infrastructure has widened as well. Kalshi is a CFTC-designated contract market and now clears through registered affiliate Kalshi Klear. Polymarket US is operated by QCX LLC, itself a designated contract market, with QC Clearing registered to clear fully collateralized positions. Robinhood now routes contracts to several regulated exchanges, including Rothera and Crypto.com’s derivatives venue.

This growth matters because liquidity can improve the quality of the probability signal. More participants and deeper order books can make it harder for one trader to move price and easier for informed traders to arbitrage obvious mispricing. But volume alone does not guarantee accuracy; concentrated participation, incentives and market design still matter.

Why Prediction Markets Can Forecast Well

The intellectual case for prediction markets is information aggregation. A poll asks respondents for an opinion. A market asks traders to put capital behind a belief and rewards those who identify mispricing. Someone with better information has an incentive to trade until the price reflects more of that information.

Classic research by economists Justin Wolfers and Eric Zitzewitz found that market-generated forecasts were typically fairly accurate and often outperformed moderately sophisticated benchmarks across a range of settings. Later work on elections and economic forecasting has reached similar conclusions in many contexts.

But prediction markets are not magic. They can be wrong together, just as investors can misprice stocks. Low liquidity reduces the reward for correcting a bad price. Traders may share the same information sources. Long-shot outcomes can be overvalued. And a market may forecast a very specific contractual event that differs from the broader question a journalist thinks it is answering.

The most defensible interpretation is therefore probabilistic: prediction markets can be powerful real-time forecasting tools, especially when liquid and well designed, but their prices should be treated as market-generated estimates rather than truth.

Are Prediction Markets Just Gambling?

Economically, the similarity is obvious. Both can involve staking money on an uncertain event and receiving a payoff if the selected outcome occurs. Legally, the answer depends on jurisdiction and market structure.

In the United States, the CFTC treats regulated event contracts as derivatives traded on designated contract markets. Its public guidance says event contracts are typically structured as swaps and emphasizes exchange surveillance, customer protections and the ability to trade in and out before settlement.

Sports contracts have created the sharpest conflict because states traditionally regulate gambling while the CFTC asserts federal jurisdiction over commodity derivatives. As of October 2026, that boundary remains actively contested in litigation and rulemaking. The CFTC issued an advance notice in March, proposed a framework in June for contracts involving activities such as gaming, and in September published additional guidance addressing manipulation risks in so-called mention markets.

For a retail user, the practical conclusion is not to settle the philosophical debate. It is to understand which legal regime governs the platform being used. A CFTC-registered exchange has a very different regulatory architecture from an unregistered offshore website or a blockchain protocol available only outside the United States.

Polymarket US and Polymarket International Are Not the Same Legal Product

The Polymarket brand illustrates why legal structure matters. Polymarket says its U.S. product is operated by QCX LLC under the Polymarket US name as a CFTC-regulated designated contract market, with a separate U.S. account and regulatory framework. Its international website is a separate product and is not regulated by the CFTC.

The international platform uses blockchain infrastructure and collateral backed 1:1 by USDC through its current pUSD architecture. Markets are matched through an order book and resolved using the platform’s published rules and oracle process. U.S. users, by contrast, are directed to Polymarket US.

This distinction is important because ‘Polymarket is regulated in the United States’ can be true about the U.S. exchange while being misleading if applied to the international platform. The same principle applies across financial services: always identify the exact legal entity and product, not only the brand.

Insider Information and Manipulation Are Real Market Risks

Prediction markets have an unusual information problem: some people can influence the event being traded. A candidate can affect a campaign outcome. An executive can know an announcement before the public. A public figure can intentionally say a word that settles a ‘mention’ market.

The CFTC’s enforcement division highlighted this issue in February 2026 after cases involving misuse of nonpublic information and improper trading. The agency’s September advisory went further for mention markets, warning that contracts based on whether a person says or does something can be particularly susceptible to manipulation because the underlying conduct may be deliberately produced.

A prediction market therefore needs surveillance just like a securities or derivatives exchange. The fact that the underlying event is politics, sports or culture does not eliminate market-abuse risk. In some cases it makes the link between trader and outcome more direct.

The Retail Trader’s Prediction-Market Checklist

What Would Prove Prediction Markets Are Overrated?

The strongest criticism would be persistent evidence that prediction prices contain no more information than public polls, models or bookmaker odds after adjusting for fees and liquidity. Another warning sign would be chronic manipulation, repeated resolution controversies or a market structure dominated by incentives rather than informed risk-taking.

The opposite case would be stronger if deeper liquidity, wider distribution and richer contract design continue to produce calibrated probabilities across politics, economics, weather, corporate events and sports. The rapid expansion of regulated U.S. venues in 2025 and 2026 gives researchers a much larger real-money dataset with which to test that claim.

Bottom Line

A prediction market is a market for contracts whose value depends on future events. In the simplest binary format, YES and NO trade between roughly $0 and $1, and the winning side settles at $1 while the losing side settles at $0. The market price is therefore naturally interpretable as an implied probability.

The important word is implied. A 70-cent contract is not a scientific declaration that an event has a 70% chance. It is the current clearing price produced by traders under a specific set of rules, fees, liquidity conditions and incentives.

That is also why prediction markets can be useful. They compress dispersed information into one continuously updating number and make participants pay for being wrong. But anyone trading them should analyze the contract the way they would analyze any derivative: understand the payoff, execution price, liquidity, fees, settlement source and legal venue before deciding whether the market’s probability is wrong.

Methodology

Research is current through October 8, 2026 and prioritises CFTC materials, CFTC registration records, official Kalshi, Polymarket and Robinhood documentation, plus academic research on prediction-market forecasting. Current legal treatment is described as of that date because U.S. event-contract regulation and state-federal litigation remain active.

Derived calculations: gross return on risk for a binary YES contract equals (1 – purchase price) / purchase price when the contract resolves in the trader’s favor. The order-book slippage chart is illustrative and assumes 500 contracts offered at 70 cents, 500 at 72 cents, 1,000 at 75 cents and additional size at 80 cents. It is not based on a live market snapshot. The Robinhood scale chart uses company-disclosed contract counts of 12 billion for full-year 2025 and 13.6 billion for Q2 2026.

Probability examples exclude taxes and, unless stated, fees. Prediction-market prices can be interpreted as probabilities only as a market-implied shorthand; they are not guarantees and may deviate from true probabilities because of risk preferences, costs, liquidity and market-design effects.

Sources

1. CFTC — Understanding Prediction Markets and Event Contracts — Link. Event-contract mechanics, $1/$0 payoffs, price interpretation and regulated-market protections.

2. CFTC — Prediction Markets ANPRM, March 2026 — Link. Current rulemaking background and information-aggregation framework.

3. CFTC — Event Contracts NPRM, June 2026 — Link. Proposed framework for enumerated activities including gaming.

4. CFTC — Prediction Markets Enforcement Advisory, February 2026 — Link. Nonpublic-information and improper-trading enforcement examples.

5. CFTC — Mention Market Advisory, September 2026 — Link. Current manipulation-risk guidance for conduct-based event contracts.

6. CFTC — Designated Contract Markets Register — Link. Current DCM status for Kalshi, Polymarket US and other exchanges.

7. CFTC — Derivatives Clearing Organizations Register — Link. Current DCO status for Kalshi Klear and Polymarket Clearing.

8. Kalshi — What Are Prediction Markets? — Link. Current event-contract and price/probability explanation.

9. Kalshi — The Orderbook — Link. Bid/ask and resting-order mechanics.

10. Kalshi — Quick Orders — Link. Execution and multi-level slippage mechanics.

11. Kalshi — Fees — Link. Current transaction and maker-fee explanation.

12. Kalshi — Market Outcomes — Link. Resolution sources and settlement timing.

13. Polymarket — What Is Polymarket? — Link. International order-book and fully collateralized YES/NO structure.

14. Polymarket — How Prices Are Calculated — Link. Midpoint price and probability methodology.

15. Polymarket — Trading Fees — Link. Current international taker-fee and maker-rebate formula.

16. Polymarket — Market Resolution — Link. UMA oracle resolution mechanics.

17. Polymarket — Website vs App — Link. Current distinction between Polymarket International and Polymarket US.

18. Polymarket — Transparency / Market Supervision — Link. Current legal and regulatory distinction between international and U.S. platforms.

19. Robinhood — Event Contracts Overview — Link. Current U.S. event-contract structure and regulated routing.

20. Robinhood — How Event Contracts Work — Link. Settlement, fees and P&L example mechanics.

21. Robinhood — Prediction Markets Scale, September 2026 — Link. Q2 2026 contract-volume disclosure and exchange-routing expansion.

22. NBER — Prediction Markets, Wolfers & Zitzewitz — Link. Foundational research on information aggregation and forecasting performance.

23. NBER — Are Prediction Markets Politically Biased? — Link. October 2026 evidence on political bias and favorite-longshot effects.

Johan Shamshad

Financial Markets Analyst and Journalist at Dave Finances |  More PostsBio ⮌

Johan Shamshad is a financial markets writer at Dave Finances covering cryptocurrencies, trading platforms, brokers, fintech, financial regulation, and developments across global markets. He previously worked at Gulf News, adding newsroom experience to his coverage of fast-moving financial and digital-asset markets.

His work focuses on identifying market-moving events, company developments, regulatory changes, product launches, and shifts in trading and financial infrastructure.

Johan contributes news and analysis designed to help readers understand not only what happened, but why a development matters and how it may affect the wider financial landscape.

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