A prediction market turns a question about the future into a contract people can trade. The price changes as participants act on their information and beliefs, creating a live signal about the market’s view of an outcome. This guide explains the mechanism without treating the price as magic—or as a guarantee.
What is a prediction market?
A prediction market is a market for contracts whose value depends on a future event. The event might involve politics, economics, technology, crypto, sports, weather, culture, or another outcome that can be resolved using stated evidence. Participants trade because they disagree about the probability, want to hedge a real-world exposure, or think the current market price is wrong.
Many prediction markets use binary event contracts. A YES share pays $1 if the stated event occurs under the contract rules and $0 if it does not; a NO share has the opposite result. Other markets can have multiple candidates, outcome ranges, or special settlement structures. The contract—not the category label—defines what is actually being traded.
The anatomy of an event contract
| Contract element | Question to ask | Why it matters |
|---|---|---|
| Outcome | What exactly counts as YES or NO? | A natural-language headline may hide important conditions |
| Resolution source | Which official source or process decides? | The market follows its rules, not the loudest news report |
| Deadline | When must the event occur? | Being right after the cutoff can still lose |
| Payout | What does a winning share redeem for? | The fixed payout connects price to implied probability |
| Trading window | When can orders be placed or cancelled? | Liquidity can disappear before final resolution |
| Fees and access | What costs and eligibility rules apply? | They affect both execution and net return |
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How prices translate into probabilities
If a binary YES share that pays $1 trades near $0.60, people often describe the market as implying a 60% probability of YES. The relationship is intuitive: a buyer paying $0.60 risks that amount for a possible $1 redemption, while a seller is willing to take the other side at the available price.
But ‘the price’ can refer to several different numbers. The best bid is the highest current offer from a buyer. The best ask is the lowest current offer from a seller. The midpoint is halfway between them. The last price records a previous trade. Only an executable bid or ask—and enough order-book depth behind it—tells you what a new order might receive now.
Where prediction-market prices come from
Prices emerge from participants placing and accepting orders. New polling, an earnings release, an injury, a court decision, a weather forecast, or a credible rumor can change what traders are willing to pay. Participants with different information, models, time horizons, and risk limits compete through the market.
That mechanism can aggregate dispersed information, but it does not make the result infallible. A market can be thin, dominated by a few traders, constrained by access, slow to interpret ambiguous news, or simply wrong. The price is evidence about current collective positioning, not an oracle.
The lifecycle of a prediction-market trade
- A venue lists a contract with outcomes, dates, resolution rules, and a settlement process.
- Traders place bids and asks, producing a spread and order-book depth.
- A buyer and seller match, creating positions at an execution price.
- The market price moves as new orders and information arrive.
- A holder may sell before resolution if there is a buyer and the market remains open.
- After the resolution process is final, winning positions are settled according to the contract and losing positions expire at zero.
How traders use prediction markets
Some participants speculate: they buy an outcome because they believe its probability is higher than the price suggests. Others hedge. A business exposed to a policy decision, commodity event, election, or weather outcome might use an event contract to offset part of the real-world risk. Researchers and journalists may use prices as a continuously updated forecasting signal without trading at all.
Trading skill therefore involves more than predicting the headline. You need a probability estimate, an execution price, a view of costs, and a plan for what would change your mind. A correct forecast can still be a poor trade if the entry price was too high, while a position can be profitable before resolution if the market reprices in your favor.
Prediction markets vs polls, sportsbooks, and forecasts
| Tool | What it measures | Important limitation |
|---|---|---|
| Prediction market | Prices backed by participants willing to trade | Liquidity, access, contract design, and incentives shape the signal |
| Poll | Reported preferences or views of a sampled population | Sampling, wording, turnout models, and timing matter |
| Sportsbook odds | A bookmaker’s offered prices, adjusted for margin and risk | The house sets and manages the book rather than exposing a pure peer order book |
| Model forecast | A method’s estimate based on selected data and assumptions | Model choices and unobserved events can create error |
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Why the same event can have different prices
Two venues can appear to ask the same question while listing different contracts. Resolution sources, deadlines, wording, eligible users, settlement assets, fee schedules, liquidity, and order types may differ. Even when the rules align closely, independent order books can produce different bids and asks.
That is why a cross-venue comparison must go beyond two headline percentages. Compare the exact contract, then the executable side, depth, fees, funding requirements, and exit path. A price gap is not automatically risk-free arbitrage.
How Hunch fits into the market
Hunch aggregates discovery and trading context across supported prediction-market venues. Instead of treating each venue as a separate research tab, a user can find an event, inspect the available market, see the venue attached to an outcome, and review the estimated trade before proceeding. As more venues are supported, the same framework can help expose rule and execution differences.
For a venue-specific example, read What Is Polymarket?. When you are ready to see the product flow, follow How to Make Your First Prediction-Market Trade in Hunch.
Risks to check before trading
- You can lose the full amount paid for a position.
- A wide spread or shallow order book can make both entry and exit expensive.
- The market may resolve under rules or sources you misunderstood.
- Fees, slippage, funding costs, and taxes can change the net result.
- Wallets, custodians, smart contracts, networks, and payment providers introduce operational risk.
- Venue availability, regulation, and customer protections vary by jurisdiction.
- Market prices can be manipulated, uninformed, or simply wrong.
A sensible way to begin
Start by observing markets you already understand. Write down your own probability before looking at the price. Then inspect the contract rules, bid, ask, spread, depth, and recent trades. Ask what information would make you change your estimate and decide the maximum amount you could lose without affecting essential finances.
Only after those checks should you compare the market price with your view. If the edge disappears after spread, fees, and uncertainty, doing nothing is a valid decision. Prediction markets are most useful when they make uncertainty more explicit—not when they create pressure to trade every question.