Prediction Markets Explained: How They Work, Legal Status and Best Platforms
Peyton PowellSocial Casino Analyst
Updated July 22, 2026
Updated July 22, 2026
Prediction markets let users trade on the outcome of real-world events. Instead of betting against a sportsbook or buying shares in a company, you trade contracts tied to questions such as who will win an election, whether the Fed will cut rates, how many games a team will win, or whether a major economic report will hit a certain number.
The basic idea is simple: if a contract is trading at 62¢, the market is roughly pricing that outcome at a 62% chance. If the event happens, a winning contract usually settles at $1. If it does not, it settles at $0. That makes prediction markets part trading platform, part forecasting tool, and part alternative to traditional betting markets.
The details matter. Regulation, liquidity, fees, settlement speed, and platform access can all change the value of a trade. A good prediction market is not just one with interesting events. It is one with fair prices, clear rules, active markets, and transparent risk.
Best for | Users who want to trade on real-world events, probabilities, politics, economics, sports outcomes, crypto, or public news events. |
How prices work | A 65¢ contract generally implies about a 65% market probability before fees, spread, and liquidity are considered. |
Main platforms | Kalshi, Polymarket, PredictIt, and other event-contract or prediction market platforms. |
Biggest risks | Legal uncertainty, poor liquidity, fast-moving news, settlement disputes, fees, and treating market prices as guarantees. |
Platform comparison
Prediction market platforms are not all built the same way. Some focus on regulated U.S. event contracts, some are crypto-based, and others are known mainly for politics or election markets.
Kalshi
Regulated U.S. exchange
Best for
U.S. regulated event contracts.
What makes it different
Kalshi is structured as a regulated event-contract exchange, with markets covering politics, economics, weather, culture, sports-related outcomes, and financial events.
Polymarket
Crypto-based markets
Best for
Crypto-based global prediction markets.
What makes it different
Polymarket is known for active markets around politics, crypto, breaking news, sports, and global events, but access and legal considerations differ from U.S.-regulated platforms.
PredictIt
Politics-focused
Best for
Political prediction markets.
What makes it different
PredictIt is best known for election and political markets, with a different regulatory background and a more limited structure than broader event-contract platforms.
For a full breakdown of platform strengths, drawbacks, fees, market depth, and user fit, see our complete guide to the best prediction markets.
A prediction market is a platform where users buy and sell contracts based on the outcome of future events. Each contract represents a specific result. For example, a market might ask whether a candidate will win an election, whether inflation will fall below a certain level, or whether a team will win a championship.
Most prediction markets use a simple Yes/No structure. If you buy “Yes” and the event happens, the contract settles as a winner. If you buy “No” and the event does not happen, your side wins instead. The price changes as traders react to news, polling, injuries, economic data, weather forecasts, or any other information that affects the probability of the event.
This is what makes prediction markets different from a standard opinion poll or expert forecast. Real money is involved, so users have an incentive to trade based on what they believe is actually likely to happen, not just what they want to happen.
Prediction markets work by turning future outcomes into tradeable contracts. Each contract has a price, and that price moves as buyers and sellers enter the market.
For example, if a “Yes” contract is trading at 40¢, the market is roughly saying there is a 40% chance the event happens. If the same contract rises to 70¢ after major news breaks, the market now views that outcome as much more likely.
The final settlement usually depends on clear market rules. A political market may settle based on certified election results. A sports market may settle based on the official league result. An economic market may settle based on a government data release. Before trading, users should always read the settlement rules, because a market can be directionally obvious but still settle in a way that surprises beginners.
Most prediction markets are built around two-sided contracts. One side buys “Yes” and the other buys “No.” If the market resolves to Yes, Yes holders win. If it resolves to No, No holders win.
Because the payout is usually fixed at $1 per winning contract, the entry price determines both your risk and potential return. Buying a contract at 30¢ means you are risking 30¢ to potentially win 70¢ in profit. Buying a contract at 80¢ means you are risking more for a smaller potential return, but the market is also implying that the outcome is more likely.
Prediction market prices are often used as implied probabilities. A 25¢ price suggests roughly a 25% chance. A 50¢ price suggests a coin flip. A 90¢ price suggests the market views the outcome as highly likely.
That does not mean the market is always right. Thin liquidity, emotional trading, news delays, fees, and wide spreads can all distort the price. The best traders do not simply ask, “What is the market saying?” They ask, “Is the market price wrong?”
If you come from sports betting, prediction market prices can feel unfamiliar at first. The table below shows how contract prices roughly translate into implied probability and American odds.
Contract Price | Implied Probability | American Odds Equivalent |
|---|---|---|
$0.10 | 10% | +900 |
$0.25 | 25% | +300 |
$0.50 | 50% | +100 |
$0.66 | 66% | -194 |
$0.90 | 90% | -900 |
This conversion is useful, but it is not perfect. Fees, bid-ask spread, and liquidity can all affect your real entry price and expected return.
The prediction market category is not one single thing. Some platforms look more like regulated financial exchanges. Others are crypto-based, global, or focused mainly on political outcomes. Before choosing a platform, users should understand how each one is structured.
Platform | Best For | Main Strength | Main Drawback |
|---|---|---|---|
Kalshi | U.S. event contracts | CFTC-regulated exchange structure | Fees, spreads, and market availability can vary |
Polymarket | Crypto-based global event markets | Deep interest in politics, crypto, culture, and breaking news markets | Access restrictions and regulatory complexity |
PredictIt | Political prediction markets | Recognizable election and politics-focused markets | Smaller scale, limits, and regulatory history |
For a deeper comparison, see our guides to the best prediction markets, Polymarket vs Kalshi, and Kalshi vs PredictIt.
Prediction markets can cover almost any event with a clear outcome and settlement source. The most common categories include politics, economics, sports, crypto, entertainment, and weather.
The best market for you depends on where you have an edge. A political analyst may find value in election markets. A sports bettor may be better suited to championship or awards markets. A macro trader may prefer inflation or interest rate contracts.
Prediction markets and sports betting can look similar, especially when the event involves a game or tournament. The difference is in the structure.
In sports betting, a sportsbook posts odds and takes the other side of the wager. The bookmaker builds in a margin and adjusts prices to manage risk and betting action. In prediction markets, users typically trade against each other, and the platform acts more like an exchange than a bookmaker.
Category | Prediction Markets | Sports Betting |
|---|---|---|
Price format | Contract prices, often from 1¢ to 99¢ | American odds, decimal odds, or fractional odds |
Who sets the price? | Buyers and sellers in the market | Sportsbook oddsmakers and trading teams |
How platforms make money | Fees, spreads, or exchange activity | Vig, hold percentage, and risk management |
Common use case | Trading probabilities on events | Betting on sports outcomes |
That said, the line can get blurry. Sports prediction markets can feel very close to sports betting from a user perspective. This is one reason regulation remains a major topic in the category.
Prediction market legality in the United States depends on the platform, the contract type, the user’s location, and the regulatory framework involved. There is no single answer that applies to every prediction market.
Some platforms operate as regulated event-contract exchanges. Kalshi, for example, is regulated by the Commodity Futures Trading Commission as a Designated Contract Market. Other platforms may use different structures, including crypto-based markets, restricted access, or no-action relief models.
The key point for users is simple: do not assume that all prediction markets are legal, available, or regulated in the same way. Before depositing money, check whether the platform is available in your location, whether it requires identity verification, how it handles restricted jurisdictions, and what rules apply to the specific market you want to trade.
For a deeper legal breakdown, read our full guide: Are Prediction Markets Legal?
Prediction markets usually make money more like exchanges than casinos. Instead of relying on users losing to the house, they can generate revenue through trading fees, settlement fees, withdrawal fees, spreads, or premium tools.
This distinction matters because prediction markets are not supposed to need a traditional “house edge” in the same way a sportsbook or casino does. But users still need to understand costs. A small fee or wide spread can turn a good opinion into a bad trade.
The best prediction market platform is not always the one with the most markets. It is the one that gives users fair pricing, clear rules, strong liquidity, and a trustworthy trading environment.
Pros | Cons |
|---|---|
Prices are easy to understand: A 70¢ contract roughly means a 70% market probability. | Prices are not guarantees: Markets can be wrong, emotional, or distorted by low liquidity. |
Wide range of topics: Users can trade politics, economics, sports, weather, crypto, and more. | Legal status varies: Platform access and regulation can differ by location and market type. |
Exchange-style model: Users often trade against other users rather than directly against a house. | Fees and spread matter: Costs can reduce expected value, especially for active traders. |
Useful forecasting tool: Market prices can reveal real-time sentiment and probability shifts. | Fast-moving news risk: Prices can change before casual users understand why. |
Potential edge for specialists: Users with strong knowledge in a niche may find mispriced markets. | Settlement risk: Poorly understood market rules can lead to unexpected outcomes. |
Prediction markets are easy to understand on the surface, but difficult to trade well. Beginners should focus less on “being right” and more on whether the price is worth taking.
The biggest mistake beginners make is assuming that a visible price is the same as an available price. In active markets, that may be close to true. In thin markets, it can be very wrong.
Liquidity refers to how much trading activity exists at or near the current price. If liquidity is strong, users can usually enter and exit positions without moving the market much. If liquidity is weak, even a modest order can push the price against you.
Slippage happens when your actual trade price is worse than the price you expected. This is especially common when using market orders in thin markets. A contract may appear to be available at 48¢, but if there are not enough sellers at that level, your final average entry could be higher.
Settlement risk is different. This is the risk that you understand the event but misunderstand how the platform will resolve the contract. Always check the official settlement source, deadline, and wording before opening a position.
Prediction markets can be useful, interesting, and potentially profitable for users who understand probability, pricing, and risk. They are especially valuable when you have real expertise in a specific area and believe the market is mispricing an outcome.
They are not a guaranteed way to make money. They are also not risk-free just because prices look simple. A 90¢ contract can still lose. A 10¢ contract can still win. Market prices are probabilities, not promises.
The best approach is to treat prediction markets like trading, not casual entertainment. Understand the rules, compare platforms, manage your bankroll, and only trade when you believe the price is wrong enough to justify the risk.
What is a prediction market?
A prediction market is a platform where users trade contracts based on the outcome of future events. Prices usually reflect the market's estimated probability of an event happening.
How do prediction markets work?
Prediction markets work by letting users buy and sell outcome-based contracts. If the event happens, the winning side usually settles at $1. If it does not happen, the losing side settles at $0.
Are prediction markets legal in the U.S.?
Some prediction markets are legally available in the U.S., but legality depends on the platform, contract type, user location, and regulatory structure. Users should check platform rules and local restrictions before trading.
Are prediction markets gambling?
Prediction markets can resemble gambling because users risk money on uncertain outcomes. However, many platforms are structured as event-contract exchanges where users trade against each other and prices reflect market probabilities.
How do prediction markets make money?
Prediction markets usually make money through trading fees, settlement fees, spreads, withdrawal fees, or premium tools. The exact model depends on the platform.
Can prediction markets predict the future?
Prediction markets cannot predict the future with certainty, but they can be useful forecasting tools because prices reflect real-money opinions from many traders. They should be treated as probabilities, not guarantees.