> ## Content Index > Fetch the complete content index at: https://www.predictmatters.com/llms.txt > Use this file to discover other available public pages before exploring further. # Prediction Markets: Everything You Need to Know - URL: https://www.predictmatters.com/prediction-markets-everything-you-need-to-know/ - Published: 2026-08-20T11:10:12.000Z - Updated: 2026-09-04T17:30:46.000Z - Description: A clear guide to prediction markets: how they work, what you can trade, where they're available, and what to know before getting started. - Author: Christopher Feery - Tags: Guides Prediction markets let people trade on the outcomes of future real-world events. They have rapidly moved into the mainstream, with markets spanning a diverse range of categories, including sports, politics, and economics. This guide gets you up to speed on what you need to know. We cover how prediction market trading works, what you can trade, legal and regulatory status, differences from sports betting and traditional investing, and the evolution of the industry. ## Key Takeaways - **Prediction markets let you trade on future outcomes.** Participants buy and sell event contracts tied to whether a specific real-world event will occur. - **Market prices reflect probability.** Contract prices change as traders buy and sell, providing a real-time indication of the market’s expectations for an outcome. - **Winning contracts typically settle at a fixed value.** Traders can hold contracts through resolution or sell their positions earlier as prices change. - **Prediction markets span a wide range of events.** Available markets include politics, sports, economics, culture, weather, technology, and more. - **Prediction markets operate differently than betting or investing.** Their market-based structure, pricing, contracts, and regulatory frameworks create important distinctions. ## What Are Prediction Markets? Prediction markets are marketplaces where people trade contracts based on the outcomes of future real-world events. Participants take positions on questions about what will happen next, such as whether a candidate will win an election, the Federal Reserve will change interest rates, or a team will win a championship. These trades use event contracts, which are tied to clearly defined outcomes and resolution criteria. You're not buying an ownership interest in an asset or the underlying event itself. Participants take positions based on whether they believe the event will happen or not, with buyers and sellers expressing different expectations through their trades. Unlike a traditional forecast or opinion poll, those expectations have financial stakes attached. Traders can profit when their view proves correct or lose money when it does not. As participants respond to changing information and trade accordingly, the market continually incorporates those competing views into its prices. That leads to one of the defining features of prediction markets: prices can be interpreted as the market’s current estimate of probability. For example, if a contract tied to an outcome trades at $0.65, that price corresponds to an implied probability of 65%. New information, shifting expectations, and trading activity can push that price higher or lower over time. Prediction markets serve two related purposes. They provide a way to trade on future events, and prices provide a real-time signal of how the market collectively assesses uncertain outcomes. Platforms, structures, and rules may vary, but the concept is straightforward: prediction markets turn expectations about what will happen into tradable instruments. ## How Prediction Markets Work Prediction markets turn questions about future events into contracts that can be bought and sold. Prices change as participants react to new information. Traders can either close their positions while a market is active or hold them until the event is resolved. Consider a simple example: a market asks whether Candidate A will win an upcoming election. Here’s how that market could work from beginning to end. ### Prediction Market Contracts Every prediction market starts with a specific question and clearly defined possible outcomes. Many use binary Yes/No contracts. In our election example, a trader who believes Candidate A will win could take the Yes side, while someone expecting another outcome could take the No side. The contract isn't a share of Candidate A or the election itself. It represents a financial position tied to whether the specified event occurs. Before trading, participants should review exactly what qualifies as a Yes or No result, when the market is scheduled to close, and which source or criteria will determine the final outcome. ### Prices and Probabilities Event contracts commonly trade between $0 and $1, with the price of a contract providing an implied probability of the outcome. Suppose Yes contracts on Candidate A are trading at $0.60\. That can be read as the market assigning roughly a 60% probability to Candidate A winning. The price isn't fixed. A strong debate performance, new polling, breaking news, or other developments could change expectations. Increased demand for Yes contracts might push the price to $0.70, indicating that the market now sees Candidate A as more likely to win. Prices function as a continuously changing forecast, reflecting the collective trading decisions of market participants. ### Buying, Selling and Closing a Position Traders don't necessarily have to wait until an event occurs to realize a gain or loss. Positions can generally be bought and sold while the market remains open. For example, someone who bought Candidate A at $0.60 could later sell at $0.70 if the market moves in their favor. On the other hand, the price could fall to $0.45, leaving the position worth less than the trader initially paid. The ability to enter or exit at a desired price can depend on liquidity, or the availability of other participants willing to trade. More liquid markets generally make it easier to execute trades at competitive prices, while thinly traded markets can have wider spreads or make larger orders more difficult to fill. Trading costs also matter. Platforms may charge transaction or other fees depending on their structure, reducing the trader's net return. Exact fee models vary and should be reviewed before trading. ### Market Resolution and Payouts If a position is held through the end of the market, the contract is settled according to its predetermined resolution rules. Suppose Candidate A wins and the market officially resolves Yes. A winning Yes contract typically settles at $1, while the corresponding losing contract settles at $0\. A trader who bought Yes at $0.60 and held through resolution would receive $1 for each winning contract, a $0.40 gross gain per contract before applicable fees. If Candidate A loses and the market resolves No, that Yes contract would instead settle at $0, resulting in the loss of the amount paid for it. Resolution criteria are a critical component of every prediction market. A well-defined contract specifies what must happen, the timeframe involved, and the authoritative source used to determine the outcome. Traders aren't simply predicting what will happen. They're trading on the precise event described by the contract. From creation through settlement, the basic lifecycle is straightforward: - An event becomes tradable. - Participants establish and continually update its market price. - Positions change hands as expectations shift. - The contract ultimately resolves according to its stated rules. ## Are Prediction Markets Legal? Yes, prediction markets can operate legally in the United States, but the answer becomes more complicated depending on the type of platform, the contracts being offered, and where the trader is located. Event contracts can fall within the federal derivatives framework overseen by the Commodity Futures Trading Commission (CFTC), while other prediction market models may operate under different legal and regulatory structures. For US readers, it helps to understand a few key parts of the regulatory landscape: - **Designated Contract Markets (DCMs):** These are exchanges authorized and regulated by the CFTC under the Commodity Exchange Act. DCMs are subject to federal requirements covering areas such as market integrity, surveillance, reporting, and contract oversight. Kalshi is one prominent example of a prediction market operator structured as a DCM. - **Futures Commission Merchants (FCMs):** These are regulated intermediaries that can accept customer orders and funds for transactions on derivatives exchanges. This means the company through which a trader accesses an event contract isn't necessarily the exchange that lists it. Some major consumer platforms use this type of structure to provide access to event contracts. - **Other prediction market models:** Crypto-native, decentralized, offshore, research-oriented, and other platforms can operate under different structures and legal regimes. International availability does not necessarily mean a platform or its full range of markets is authorized for US customers. The distinction matters because not every prediction market has the same regulatory status, structure, or consumer protections. Another major issue is the ongoing dispute over federal versus state authority, particularly for sports and other event contracts that states may consider gambling products. The CFTC maintains that it has exclusive jurisdiction over event contracts traded on federally regulated derivatives exchanges, while numerous states have sought to apply their own gambling and gaming laws. Those competing positions have produced lawsuits and regulatory actions across the country. Federal rules governing event contracts are evolving as well. From a bottom line perspective, prediction markets aren't universally legal or illegal as a category. Regulatory status and access depend on how a platform operates, what contracts it offers, and the applicable jurisdiction. Current platform availability and eligibility are covered in greater detail in our guide to the best prediction market platforms. ## What Can You Trade on Prediction Markets? Prediction markets cover a broad range of events. In general, any future outcome that can be clearly defined and objectively resolved could potentially form the basis of an event contract. What is actually available depends on the platform, its regulatory structure, and which contracts it is permitted or chooses to offer. Common prediction market categories include: - **Politics:** Elections, control of Congress, presidential approval milestones, cabinet appointments, legislation, and other political outcomes. *Example: Will Candidate A win the presidential election?* - **Sports:** Individual games, tournaments, championships, season results, and other objectively measurable sporting outcomes. *Example: Will Team A win the championship?* - **Economics:** Inflation, unemployment, interest rates, GDP, and other economic indicators or policy decisions. *Example: Will the Federal Reserve cut interest rates at its next meeting?* - **Financial events:** Market milestones, company events, cryptocurrency prices, and other finance-related outcomes. *Example: Will Bitcoin trade above a specified price by a certain date?* - **Weather and climate:** Temperatures, snowfall, hurricanes, rainfall, and other measurable weather events. *Example: Will New York City reach 100°F this summer?* - **Entertainment and culture:** Awards, television, movies, music, celebrity events, and other popular-culture outcomes. *Example: Will a particular film win Best Picture?* - **Technology:** Product launches, artificial intelligence, company announcements, regulatory decisions, and industry milestones. *Example: Will a specified AI model be released before the end of the year?* - **Other real-world events:** Prediction markets can extend into science, geopolitics, transportation, space exploration, and other areas where an outcome can be clearly defined and verified. The specific menu can differ substantially from one platform to another and change over time. That breadth is central to understanding prediction markets. The underlying subject can vary widely. What connects these markets is that traders are taking positions on measurable future outcomes. ## How Are Prediction Markets Different? Prediction markets share characteristics with both sports betting and traditional investing, but they aren't simply another version of either. All three involve putting money at risk based on expectations about the future. However, the structure of the transaction, how prices are determined, and what is being traded can differ significantly. | | Prediction Markets | Sports Betting | Traditional Investing | | --------------------- | ----------------------------------------------------- | ----------------------------------------------------------- | ------------------------------------------------------------------------------------------ | | What you trade | Contracts tied to future events | Wagers tied primarily to sporting events | Assets such as stocks, bonds, funds, and commodities | | Pricing | Prices are shaped by market supply and demand | Odds are typically established and adjusted by a sportsbook | Prices are shaped by market supply and demand | | Who you trade against | Generally other market participants | Typically the sportsbook | Other market participants | | Outcome | Contracts resolve according to predefined event rules | Bets settle according to the wager and game/event result | Assets generally remain investments rather than resolving at a predetermined event outcome | | Typical timeframe | Often tied to a defined event or resolution date | Usually tied to a defined sporting event | Can range from short-term trading to decades-long ownership | The comparison with sports betting is especially natural because both can involve taking a financial position on whether an event will happen. The key structural difference is that a traditional sportsbook generally acts as the counterparty, setting odds and accepting wagers. Prediction markets function more like exchanges: participants trade contracts with one another, and prices move according to activity in the market. Sports can also represent only one category within a prediction market alongside politics, economics, and other events. Prediction markets borrow other characteristics from traditional financial markets. Buyers and sellers interact through a marketplace, prices respond to changing information, and traders may be able to sell a position before an event concludes. However, the underlying instrument is different. Buying stock represents an ownership interest in a company, while buying an event contract represents a position on whether a specified outcome will occur. The distinctions can become less clear as sportsbooks introduce exchange-like products and brokerages offer event contracts. For a simple view, prediction markets apply market-style trading and pricing to contracts whose value depends on the outcome of future events. ## A Brief History of Prediction Markets Prediction markets may feel new, but the idea of putting money behind forecasts of future events has a long history. What changed over time was the structure: informal wagering evolved into experimental forecasting markets, online platforms, and eventually today's regulated and crypto-based prediction markets. - **1868-1940**: Organized election betting markets flourish: Large, well-organized markets for betting on US presidential elections operated for decades, becoming particularly prominent in New York City. They declined with the rise of scientific polling and the increasing availability of other forms of gambling. - **1988:** Iowa Electronic Markets launch: University of Iowa faculty created what became the Iowa Electronic Markets (IEM), using small-scale real-money markets as research and teaching tools. The IEM became an important demonstration of how market prices could aggregate information and forecast election outcomes. - **1990s-2000s:** Prediction markets move online: Internet platforms expanded event-based trading beyond academic experiments. The Hollywood Stock Exchange brought market-style forecasting to entertainment beginning in the 1990s, while Intrade later became widely known for prediction markets covering politics and other real-world events. - **2010s:** Regulation becomes increasingly important: As real-money event markets developed, US regulators confronted how prediction markets fit within existing commodities and derivatives law. Academic and experimental markets continued operating under limited regulatory frameworks, while the legal path for broader commercial event trading remained unsettled. - **2014:** PredictIt launches: Created as an academic project of Victoria University of Wellington, PredictIt brought small-scale, real-money political prediction markets to US users under a CFTC no-action framework. Its limited-stakes model became an important part of the US prediction market landscape and illustrated another regulatory approach before the emergence of federally regulated commercial event-contract exchanges. - **2020:** Kalshi becomes a CFTC-regulated exchange: The CFTC designated Kalshi as a Designated Contract Market on November 3, 2020, creating a federally regulated exchange built around event contracts. - **2020s:** Crypto prediction markets expand: Polymarket emerged in 2020 and helped bring blockchain-based prediction markets to a much larger global audience, combining event trading with cryptocurrency infrastructure. - **Mid-2020s:** Prediction markets enter the mainstream: The category expanded rapidly as regulated exchanges, brokerages, crypto companies, sports-gaming brands, and other consumer platforms entered the market. The U.S. regulated-exchange landscape has also broadened substantially beyond Kalshi, with a growing number of federally regulated exchanges entering the market. Prediction markets have consequently evolved from informal wagers and academic experiments into a growing financial and consumer marketplace. The technology and participants have changed considerably, but the underlying idea remains remarkably consistent: use markets to put a price on what people believe will happen next. ## Continue Your Journey Understanding prediction markets is the first step. The next is figuring out whether they are a good fit for you, and where you can trade when you’re ready to do so. Our guide to the [Best Prediction Market Platforms](https://www.predictmatters.com/best-prediction-market-platforms/) compares the leading options, explains platform availability and eligibility, and walks through what to consider when choosing where to trade. You'll also learn how to get started, what to understand before placing your first trade, and how to approach prediction markets responsibly. ## Sign up for PredictMatters Get up to speed on what matters in prediction markets. Subscribe Email sent! Check your inbox to complete your signup. No spam. Unsubscribe anytime. ## Frequently Asked Questions #### **Are prediction markets gambling?** Prediction markets involve risking money on uncertain outcomes, creating obvious similarities with gambling. In the US, some event contracts are traded as federally regulated derivatives. Whether particular contracts should instead fall under state gambling laws remains the subject of ongoing legal disputes. #### **Can you make money on prediction markets?** Yes, but profits are never guaranteed. Traders can make money when they correctly identify contracts they believe are mispriced and the market moves in their favor, or the contract resolves accordingly. They can also lose some or all of the money committed to a position. #### **Are prediction markets accurate?** Prediction markets can be useful forecasting tools because prices aggregate the views of traders and continuously respond to new information. Research has found strong performance in some settings, but accuracy varies by market. Liquidity, participant knowledge, available information, contract design, and other factors can all affect the quality of the forecast. #### **Do you have to pay taxes on prediction market winnings?** Prediction market profits can be subject to federal, state, and local taxes, but the US tax treatment of trading activity isn't always straightforward. The industry is still developing, and questions remain around how different types of event-contract activity should be classified and reported under existing tax rules. Platforms may also differ in the tax forms and transaction records they provide. Keeping complete records can help support accurate reporting, while a qualified tax professional can provide guidance for individual situations. #### **What are the biggest prediction market platforms?** Kalshi and Polymarket are two of the most prominent prediction market platforms, while a growing number of brokerages, financial companies, and gaming brands now offer event trading in various forms. Our Best Prediction Market Platforms guide compares the leading current options and their availability. #### **Can you lose money on prediction markets?** Yes. Event contracts involve financial risk. A contract held through resolution can become worthless if the outcome goes against the trader, while positions sold earlier may also generate losses if prices move unfavorably. Fees, spreads, and other trading costs can further affect returns.