What Are Prediction Markets? How They Work, Risks, Platforms & Examples (2026 Guide)

All About Prediction Markets and How They Work: A Complete Guide

A prediction market is a speculative exchange where participants buy and sell contracts tied to the outcome of future events, with prices reflecting the crowd's collective probability estimate. A contract priced at €0.65, for example, implies a 65% chance that the event will happen. Combined monthly trading volume on the 2 largest platforms, Kalshi and Polymarket, surged from less than $5 billion in September 2025 to roughly $24 billion by April 2026, making this one of the fastest-growing corners of finance. That said, prediction markets carry real financial risk, unresolved tax questions, and an evolving regulatory landscape that every participant should understand before trading.

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1. What Is a Prediction Market?

Core Concept and Definition

A prediction market is a speculative exchange where contracts are bought and sold based on the likelihood of a future event occurring. Unlike stock markets, where you trade shares in a company, prediction market contracts represent an outcome. Will a specific candidate win an election? Will inflation stay above 3%? Will a team win the championship?

Each market aggregates dispersed opinions into a price signal that reflects the collective probability of an event occurring. The price of each contract ranges from €0.01 to €0.99, with the current price acting as the market's implied probability. If a "Yes" contract trades at €0.72, the crowd collectively estimates a 72% chance the event will happen.

This mechanism is fundamentally different from traditional betting. Kalshi is a quote-driven market where makers can post offers into an orderbook and takers pick the best offer. You are not betting against a house. You are trading against other participants who disagree with your estimate, which creates a dynamic, self-correcting price signal.

The Economic Role of Prediction Markets

Prediction markets serve as information aggregation tools. Corporations, governments, and researchers use them to forecast everything from sales figures to policy outcomes. The core insight behind them is the "wisdom of crowds" concept: a large group of independent participants, each with partial information, can produce probability estimates that outperform any single expert. This is not a theoretical claim. It is backed by decades of academic research comparing market prices to real-world outcomes.

2. A Brief History and Key Milestones

Origins and Early Experiments

The modern prediction market traces back to 1988, when the Iowa Electronic Markets (IEM) launched at the University of Iowa to forecast U.S. presidential elections. It was an academic experiment, but it worked remarkably well, often outperforming major polls.

The Hollywood Stock Exchange launched in 1996 as an entertainment-focused prediction platform, letting users trade on box-office outcomes with play money. Then came Intrade (2001-2013), the first widely used public prediction market. Intrade became the go-to source for real-time election odds before regulatory pressure forced it to shut down in 2013.

Path to Mainstream Adoption

Intrade's closure taught the industry a crucial lesson: operating without regulatory clarity is unsustainable. Before PredictIt launched in 2014, it was granted a no-action letter from the Commodity Futures Trading Commission (CFTC). This gave it narrow legal permission to operate as an academic research project.

In 2020, the Commodity Futures Trading Commission (CFTC) approved Kalshi as an authorized Designated Contract Market (DCM), making it the first regulated exchange for event contracts. In its January 3, 2022, order, the CFTC found that the event-based binary option contracts offered on Polymarket's platform constitute "swaps" under the Commodity Exchange Act. As part of the settlement, Polymarket agreed to wind down existing noncompliant contracts and pay a $1.4 million civil penalty. Polymarket later rebuilt its compliance infrastructure and eventually re-entered the U.S. market. Polymarket US, the firm's U.S.-focused platform, launched in the fourth quarter of 2025 under no-action relief from the CFTC.

The 2024 U.S. presidential election was the inflection point. One anecdotal example is the 2024 US presidential election, where prediction markets correctly predicted a Trump win while polls suggested a toss-up. That moment drove record volume and mainstream media coverage, turning prediction markets from a niche curiosity into a significant financial category.

3. How Prediction Markets Work

Binary Contracts: The Building Block

Most prediction market contracts are binary. They resolve at €1 (the event happened) or €0 (it did not). If you believe "Candidate X will win the 2026 midterm," you buy a "Yes" contract. If the current price is €0.40, you pay €0.40 per contract. If the event happens, you receive €1, netting €0.60 profit per contract. If it does not, you lose your €0.40.

You can also buy "No" contracts. These offers range from 1 cent to 99 cents. For example, if someone buys a 30 cent contract backing an event to happen (a "Yes contract"), their 30 cent and the other side's 70 cent payment for their "No contract" are held. This structure means that for every contract traded, the total capital locked in always equals €1, creating a zero-sum market.

Price Formation and the Wisdom of Crowds

Prices are set by supply and demand among traders. When new information enters the market, a poll release, a news event, a social media post, prices update in near real-time. The current price at any moment represents the market's consensus probability that the event will occur.

This is crowd wisdom forecasting in action. No central authority sets the odds. Instead, thousands of participants independently evaluate the probability and put their money behind their estimate. The collective result is often remarkably well-calibrated. A contract priced at €0.70 should, over many events, resolve "Yes" approximately 70% of the time. In our data, we find that contract prices tend to broadly reflect win percentages, meaning a 50 cent contract wins around 50% of the time.

Contract Resolution

When the event occurs, contracts automatically resolve at €1 (correct) or €0 (incorrect). The platform verifies the outcome using trusted data sources like official election results, news wires, or government reports. Settlement currency varies by platform: USD for Kalshi, USDC stablecoin for Polymarket's international platform, and USD for Polymarket US.

Winning traders collect the €1 payout minus any applicable platform fees. Losing traders forfeit their initial investment. This clean binary structure is what makes prediction markets so transparent compared to traditional betting, where the bookie's margin is hidden inside the odds.

4. Types of Prediction Markets

Political Prediction Markets

Political markets are the most popular category. Elections, legislation, approval ratings, and geopolitical events all generate significant trading volume. Sports, politics, and cryptocurrency are the topics with the highest volume on both major prediction markets. These topics have made up 91% of global trading volume on Kalshi and 90% on Polymarket since July 2024. U.S. presidential races, in particular, attract the deepest liquidity and most media attention.

Sports Prediction Markets

Sports contracts cover game outcomes, championship winners, and player statistics. This category has exploded in popularity. Kalshi moved aggressively into sports, signing the NHL's first-ever prediction market licensing deal in October 2025. Polymarket countered by signing MLB as its exclusive Official Prediction Market Exchange Partner in March 2026. The legal distinction between prediction market sports contracts and traditional sports betting is an active area of regulatory conflict.

Financial and Economic Prediction Markets

Contracts on Fed rate decisions, GDP figures, and inflation prints allow traders to express directional views on macroeconomic outcomes. These markets often attract institutional participants who use them to hedge macro positions or complement their existing forecasting models.

Crypto Prediction Markets

Blockchain-based platforms like Polymarket allow global, permissionless trading. Smart contracts automate resolution without a central counterparty. However, this introduces risks unique to the crypto context: wallet security, stablecoin stability, and regulatory uncertainty. For anyone already in the crypto space, Bleap offers fee-free trading with no gas costs and full self-custody from day one, meaning the overhead of participating in crypto-native markets does not need to eat into your returns.

Combinatorial and Reputation-Based Markets

Combinatorial markets link multiple outcomes, such as "Party A wins AND inflation stays above 3%." Reputation-based platforms like Metaculus and Good Judgment Open let participants stake credibility rather than capital, acting as forecasting communities where track records matter more than money.

5. Prediction Markets vs. Traditional Betting and Gambling

Key Structural Differences

The difference between prediction markets and traditional gambling is more than semantic. In fixed-odds betting, a bookmaker sets the odds, and you bet against the house. The house always has a margin built in. In prediction markets, the model is peer-to-peer. You trade against other participants, not a house.

Prediction markets also offer something bookmakers rarely do: the ability to exit a position before the event resolves. If you bought a "Yes" contract at €0.40 and the price rises to €0.75, you can sell your position and lock in a profit without waiting for the event to happen. This makes prediction markets function more like financial exchanges than betting shops.

Information aggregation is the primary function, and entertainment is secondary. This distinction is fundamental to how regulators classify them.

Why the Distinction Matters Legally and Ethically

The CFTC says they are derivatives. State gaming commissions say they are gambling. This disagreement is at the heart of the ongoing regulatory conflict in the U.S. and has direct implications for tax treatment, legality, and platform operations.

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6. Top Prediction Market Platforms

Kalshi

In 2020, the Commodity Futures Trading Commission (CFTC) approved Kalshi as an authorized Designated Contract Market (DCM), making it the first regulated exchange for event contracts. It offers contracts on economic data, weather, politics, sports, and more, all denominated in USD. Kalshi charges a per-contract fee to takers of $0.07 x P x (1-P), where P is the price in dollars. Maker fees use a lower coefficient of 0.0175. This means fees peak on 50/50 contracts and approach zero on high-probability outcomes.

Kalshi's key differentiator is regulatory certainty. It is legally accessible across most U.S. states and won a landmark court battle in 2024 affirming its right to list political event contracts.

Polymarket

The platform's monthly trading volume has surged from approximately $1.2 billion in 2025 to over $20 billion in early 2026. Polymarket is the largest prediction market by trading volume globally. It operates on the Polygon blockchain using USDC for its international platform, while the official Polymarket US fee schedule shows a 0.10% taker fee (10 basis points).

In 2022, the company paid a $1.4 million civil monetary penalty to resolve charges that it operated an unregistered facility for trading commodity options contracts. It has since rebuilt its compliance operations, and by January 2026, a new CFTC chairman withdrew proposed rules restricting prediction markets, and Polymarket received a no-action letter from the CFTC.

PredictIt

PredictIt evolved from an academic research project into a fully CFTC-regulated prediction market platform in September 2025. It focuses primarily on political markets and is available to U.S. residents. PredictIt charges a 5% fee on net profits when funds are withdrawn, and a 10% fee on realized profits when a position is closed. The position limit has been expanded from $850 to the federal individual campaign contribution limit, currently set at $3,500.

However, 15% total fees remain the industry's highest, and a small market selection limits PredictIt's appeal to niche use cases.

Other Notable Platforms

• Manifold Markets: a play-money platform ideal for low-stakes forecasting practice
• Iowa Electronic Markets (IEM): the original academic, real-money political forecasting market
• Good Judgment Open / Metaculus: reputation-based forecasting communities without financial stakes

7. How Prediction Market Prices Fluctuate

Information Signals and Market Dynamics

Any new publicly available information can shift prediction market prices instantly. A new poll release, a geopolitical event, a central bank statement, or even a viral social media post can trigger rapid repricing. Arbitrageurs actively keep prices aligned across platforms, so large discrepancies between Kalshi and Polymarket on the same event tend to be short-lived.

High-liquidity markets with deep order books are harder to manipulate. Thin markets, those with low volume on niche events, are far more volatile and susceptible to single large trades moving the price.

Crowd Wisdom Forecasting in Action

Research consistently shows that prediction market prices are well-calibrated. For the presidential race, both Kalshi and Polymarket correctly identified the winner with higher confidence than most polling aggregates in the final days. However, accuracy varied significantly across Senate and gubernatorial races, with larger errors in low-liquidity markets.

One well-documented distortion is the "favourite-longshot bias." The evidence shows a clear favourite-longshot bias pattern for both sides, but the pattern is much stronger for takers than for makers. Low-probability events tend to be slightly overpriced, meaning traders who systematically sell overpriced longshot contracts can generate consistent, modest returns.

8. Prediction Market Accuracy and Real-World Applications

Empirical Performance vs. Polls and Forecasters

A comprehensive study analyzing more than 2,500 political prediction markets during the final 5 weeks of the 2024 U.S. presidential campaign found mixed results. While 93% of PredictIt markets correctly predicted outcomes better than chance, accuracy fell to 78% on Kalshi and 67% on Polymarket.

Even the most accurate markets showed little evidence of efficiency: prices for identical contracts diverged across exchanges, daily price changes were weakly correlated or negatively autocorrelated, and arbitrage opportunities peaked in the final two weeks before Election Day. This is an important nuance. Prediction markets are good, but they are not infallible, and the academic evidence is more mixed than the headlines suggest.

Elections and Political Forecasting

The 2024 U.S. presidential election was prediction markets' highest-profile moment. Markets correctly identified the eventual winner with higher confidence than polling averages. But down-ballot races told a more complicated story. Thin markets on individual Senate and House races performed less reliably, highlighting that prediction market accuracy depends heavily on liquidity and participant diversity.

Corporate and Scientific Use Cases

Companies like HP and Google have used internal prediction markets to forecast sales, project timelines, and product launch success rates. Policy researchers have applied them to public health forecasting, climate scenarios, and supply chain disruptions. The common thread is that these markets work best when many independent participants bring diverse information to the table. When events are unprecedented or data is sparse, accuracy degrades.

9. Legality and Regulation of Prediction Markets

U.S. Legal Status

The regulatory landscape for prediction markets in the U.S. is complex and actively shifting. At the federal level, the Commodity Exchange Act (CEA) governs event contracts, and the CFTC has jurisdiction. On January 29, 2026, CFTC Chairman Michael Selig delivered the clearest pro-prediction-market signal from a U.S. regulator. He withdrew a Biden-era proposed rule that would have banned political and sports event contracts.

However, state-level opposition is intensifying. 11 states have introduced state prediction market legislation in 2026, with approaches ranging from full bans to taxation frameworks. State regulators in 11 states have issued cease and desist orders against prediction market operators, arguing they function as unlicensed sports betting platforms.

On June 10, 2026, the CFTC published a proposed rule for prediction markets, including platforms like Polymarket and Kalshi. This rulemaking could provide much-needed clarity, but the federal-vs-state tension is likely heading toward the U.S. Supreme Court.

Global Landscape

Internationally, the regulatory picture is fragmented. In the UK, prediction markets that resemble betting fall under the Gambling Commission. In Europe, country-by-country bans are accumulating faster than any unified framework can form. Globally, no jurisdiction has created a bespoke prediction market regulatory regime.

Regulatory Grey Areas and Future Outlook

The core unresolved question is straightforward: are prediction markets financial derivatives or gambling? The answer determines which laws apply, who has jurisdiction, and how profits are taxed. The industry is growing at 4x per year into a regulatory vacuum that is filling with litigation, not legislation. If you are participating in prediction markets, staying informed about the regulatory status in your jurisdiction is not optional.

10. Risks of Participating in Prediction Markets

Financial Risk and Addiction

Prediction markets are a zero-sum game. For every winner, there is a loser. Only 0.51% of wallets on Polymarket have realized profits exceeding $1,000. That statistic alone should calibrate expectations. Overconfidence bias is common, and the frequent small wins and losses can create addictive patterns similar to gambling. Responsible participation requires strict position sizing, bankroll management, and loss limits.

Market Manipulation Risks

"Banging the close," where a large trader moves prices artificially before a contract resolves, is a known risk. Low-volume contracts are most vulnerable. Questions around market integrity and manipulation become more pressing at higher volumes. Ensuring accurate pricing and preventing coordinated attacks or misinformation-driven trades will be essential to maintaining trust in the system.

Shifting Rules and Platform Risk

Platform operators can change contract terms, cancel markets, or dispute resolution data sources. Counter-party risk exists: if a platform becomes insolvent, user funds may be at risk. Crypto-based platforms add another layer of risk, including smart contract vulnerabilities and stablecoin instability.

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Insider Trading Concerns

Unlike stock markets, insider trading in prediction markets is largely unregulated. In late December 2025 and early January 2026, a user of Polymarket's offshore exchange purchased a high volume of contracts predicting the ouster of Venezuelan President Maduro. After the U.S. military captured Maduro on January 3, 2026, the user reportedly secured a payout of more than $400,000. Polymarket's offshore exchange also experienced a sharp uptick in large purchases of contracts predicting U.S. military strikes on Iran shortly before such strikes occurred in February 2026.

S. 4060, the Prediction Markets Security and Integrity Act of 2026, would prohibit the use of material nonpublic information to trade on prediction markets. But as of mid-2026, no such legislation has passed.

11. Tax Implications of Prediction Market Earnings

How Winnings Are Classified

As of 2026, the IRS has not issued formal guidance adopting any specific view on how prediction market income should be classified. This leaves participants in an awkward position. There are 3 possible classifications:

1. Ordinary income: The most conservative approach, and the one most tax professionals recommend as a default.
2. Gambling income: Under this classification, losses can only offset winnings. Under the One Big Beautiful Bill Act, beginning in tax year 2026, taxpayers reporting gambling income can deduct only 90% of their losses against winnings. This means even break-even traders could owe taxes.
3. Section 1256 contracts: If prediction market contracts qualify as Section 1256 contracts, gains and losses receive a 60/40 split. 60% is taxed as long-term capital gains (max 20%) and 40% as short-term capital gains (up to 37%), regardless of how long you held the contract.

Reporting Requirements and Practical Guidance

Kalshi issues 1099 forms to U.S. customers. Crypto-based platforms may not. If a platform does not issue a tax document, you are still legally required to report your gains. The IRS's position is that all income is taxable unless a specific exemption applies.

Keep detailed records of every trade: entry price, exit price, dates, and platform. Consult a tax professional who understands event contracts, as this space is evolving rapidly. Losses may be deductible depending on how gains are classified, but the rules differ significantly between the 3 categories above.

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12. Ethical and Controversial Concerns

Incentive Misalignment and Moral Hazard

The most provocative criticism of prediction markets is the moral hazard argument. Could markets on political assassinations, pandemics, or natural disasters incentivize bad actors? This is not hypothetical. In 2003, DARPA proposed a Policy Analysis Market that would have allowed trading on geopolitical events including terrorist attacks. The public backlash was intense, and the program was cancelled within days.

Modern platforms self-regulate by prohibiting markets on illegal acts, personal harm, or events where trading could create perverse incentives. But the line is not always clear, and different platforms draw it in different places.

Market Manipulation and Information Asymmetry

Well-funded participants with access to private information have a structural advantage over retail traders. The insider trading incidents on Polymarket in early 2026 demonstrate this risk clearly. Market prices can also be weaponized. A large enough trade can temporarily shift a prediction market's implied probability, which media outlets then report as "news," creating a feedback loop where the market influences the very outcome it is supposed to predict.

The ongoing debate comes down to a simple question: does allowing markets on sensitive events produce valuable forecasting information for society, or does it normalize harm and create opportunities for exploitation? There is no consensus, and the answer likely depends on the quality of platform governance and regulatory oversight.

Conclusion

Prediction markets are a powerful, fast-growing tool for aggregating information about future events. Combined monthly global trading volume on Kalshi and Polymarket has risen from less than $5 billion in September 2025 to about $24 billion in April 2026. That growth reflects genuine demand for real-time probability signals that go beyond what polls, pundits, and forecasters can provide.

But prediction markets are not a risk-free path to profit. The data shows that the vast majority of participants lose money, tax treatment is unresolved, regulation is fragmenting across jurisdictions, and insider trading protections are still being debated in Congress. If you participate, do so with clear-eyed expectations, disciplined position sizing, and a good accountant.

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FAQ

Are prediction markets legal?

Prediction markets are generally legal under the federal Commodity Futures Trading Commission (CFTC). However, some states dispute the regulation of prediction markets, especially those that offer contracts on sports events. Legality depends on your jurisdiction. In the U.S., platforms like Kalshi operate as CFTC-regulated exchanges, while Polymarket's international platform falls in a different category. Outside the U.S., regulation is fragmented and varies by country.

How accurate are prediction markets?

Prediction markets are generally well-calibrated for high-liquidity events like presidential elections. For the presidential race, both Kalshi and Polymarket correctly identified the winner with higher confidence than most polling aggregates in the final days. However, accuracy drops significantly in thin markets with low trading volume. They are a useful forecasting tool, not an infallible oracle.

Do I have to pay taxes on prediction market winnings?

Yes. Profits from prediction market contracts are taxable income in the United States. The unresolved question is how they are classified: ordinary income, gambling income, or Section 1256 contracts. Each classification has different implications for how losses are treated. Keep records of every trade and consult a tax professional.

What is the difference between prediction markets and sports betting?

The key structural difference is that prediction markets are peer-to-peer (you trade against other participants), while traditional sports betting pits you against a bookmaker who sets the odds. Prediction markets also allow you to sell your position before the event resolves, and they serve an information-aggregation function beyond entertainment.

What is a binary contract in prediction markets?

A binary contract resolves at €1 (the event happened) or €0 (it did not). You buy contracts at the current market price, which ranges from €0.01 to €0.99. The price represents the market's implied probability that the event will occur. If you are right, you receive €1 per contract. If you are wrong, your contract is worth €0.

Can prediction markets be manipulated?

Yes, particularly in low-liquidity markets. Large trades can temporarily distort prices, and participants with material nonpublic information have traded profitably on events before they became public knowledge. Legislation like the Prediction Markets Security and Integrity Act of 2026 has been proposed to address this, but no insider-trading law specific to prediction markets has been enacted yet.

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