What Is a Prediction Market and How Does It Work?

A prediction market is a marketplace where people buy and sell contracts tied to the outcome of a future event, and the contract's price serves as the market's live estimate of that event's probability. You can use one to express a view on an outcome, to hedge exposure, or simply to read what a large group of motivated participants expects. It is not a poll and not a stock: the payoff is binary or event-linked, and the price is the forecast.

How a prediction market works

Most prediction markets issue contracts that pay a fixed amount (commonly $1) if a defined event resolves "yes," and nothing if it resolves "no." Because the payout is fixed, the price becomes the probability.

Buying and selling shares

• Buy "yes": you pay the current yes price. If the event happens, each share pays the full amount; if not, it expires worthless.
• Buy "no": you pay the complement of the yes price (roughly 1 minus the yes price) and are paid if the event does not happen.
• Sell before resolution: you can exit at the market price, capturing a gain or cutting a loss without waiting for the event to resolve.

Example: a contract trading at $0.65 for "Candidate A wins" implies roughly a 65% chance. Buy 100 yes shares for $65. If A wins, you receive $100 (a $35 gain before fees); if A loses, you receive $0.

Resolution and payout

Every market has written resolution rules: the exact event, the data source, the deadline, and what counts as "yes." When the event resolves, the market settles and winning shares pay out. Ambiguity in these rules is a real risk, so read them before trading.

Reading a price as a probability

The yes price is the implied probability. A price of $0.20 means the crowd assigns about a 20% chance. Prices move when new information arrives, when large orders shift supply and demand, and when the deadline approaches and uncertainty shrinks. A price drifting toward $0.95 signals near-certainty; a price near $0.50 signals genuine uncertainty.

Prices are not guarantees. Thin markets can be moved by small trades, and a confident crowd can still be wrong.

How prediction markets differ from alternatives

The key distinction from polling is incentive: prediction market participants risk money, which tends to sharpen forecasts. The key distinction from stock trading is that prediction market contracts resolve to a defined outcome rather than representing an ongoing claim on a business.

Practical considerations before you participate

• Liquidity: thin order books mean wide spreads and difficulty exiting at a fair price. Check depth before sizing a position.
• Fees: platforms may charge trading or settlement fees; these erode small edges, so confirm the schedule on the platform you use.
• Resolution rules: the source of truth and deadline determine your payoff. Rules that allow discretion or cite unclear sources add risk.
• Platform and regulatory risk: availability, permitted participants, and legal treatment vary by jurisdiction and platform. Confirm what applies to you before depositing funds.
• Capital at risk: contracts can expire worthless. Treat positions as speculative and size them accordingly.

Where AI agents fit in

Some platforms now let AI agents participate in or analyze these markets. Questflow, for example, describes itself as an AI finance agent that connects wallets, exchanges, and brokers so an agent can read positions and execute trades within permissions you set, with configurable models, skills, and market-data plugins. Its materials frame the agent as a "brain, not the vault," meaning execution runs through your own connected accounts. If you use such a tool, the same considerations apply: verify the agent's permissions, understand which markets it can reach, and confirm how its trades resolve.