What Are Prediction Markets?
A prediction market is an exchange where people trade on the outcomes of future events. Instead of buying shares in a company, you trade contracts tied to questions like "Will the Federal Reserve cut interest rates in June 2026?" or "Will it rain more than 5 inches in Miami this month?"
Each contract trades between $0.01 and $0.99, and that price acts like a probability estimate. If a contract is trading at $0.72, the market is saying the event has roughly a 72% chance of happening. If it does happen, the contract settles at $1.00. If it does not, it settles at $0.00.
Prediction markets are sometimes called "information markets," "decision markets," or "event futures." They have roots in the Iowa Electronic Markets (founded in 1988) and have grown significantly since the launch of regulated platforms like Kalshi in 2021 and crypto-native exchanges like Polymarket.
Key Concept: Prices = Probabilities
The core insight of prediction markets is that prices encode probability estimates. When thousands of traders buy and sell based on their knowledge, the resulting price aggregates all available information into a single number.
Academic research has consistently shown that prediction markets are among the most accurate forecasting tools available. A seminal 2004 paper by Wolfers and Zitzewitz found that prediction market prices are well-calibrated probability estimates, often outperforming polls, expert panels, and statistical models. This accuracy stems from the "wisdom of crowds" effect, amplified by financial incentives that reward correct predictions and punish incorrect ones.
How Prediction Markets Work
Prediction markets function similarly to stock exchanges, but instead of buying shares of a company, you buy contracts tied to event outcomes. Here is the step-by-step process:
A market is created around a question
The exchange lists a binary question with clear resolution criteria, such as "Will Bitcoin exceed $150,000 by December 31, 2026?" The exchange defines exactly how and when the market resolves.
Traders buy "Yes" or "No" contracts
If you think the event will happen, you buy "Yes" contracts. If you think it will not, you buy "No" contracts. Prices for Yes and No sum to approximately $1.00 (minus any spread).
Prices move as new information arrives
When news breaks that changes the probability of the event, traders buy or sell, pushing the price up or down. This makes prediction markets real-time probability trackers.
The market resolves
When the event outcome is determined, the exchange settles all contracts. "Yes" contracts pay $1.00 if the event occurred, $0.00 if it did not. "No" contracts pay the inverse. Your profit is the difference between what you paid and the settlement price.
Example Trade
You believe there is a 75% chance the Fed will cut rates in June, but the market prices "Yes" at $0.60 (implying only 60%). You buy 100 "Yes" contracts at $0.60 each, spending $60.
The key to profitability is finding markets where you believe the true probability differs from the market price. This concept is called expected value (EV), and it is the foundation of every serious prediction market trading strategy. Tools like the EVSignals EV Calculator help you quantify these edges precisely.
How to Read Prediction Market Prices
Reading prediction market prices is straightforward once you understand the core principle: the price of a contract is the market's implied probability that the event will occur. Here is how to interpret different price levels and what they signal about market sentiment.
| Price Range | Implied Probability | Market Sentiment |
|---|---|---|
| $0.01 - $0.10 | 1% - 10% | Highly unlikely, but not impossible |
| $0.10 - $0.30 | 10% - 30% | Unlikely; contrarian opportunity zone |
| $0.30 - $0.50 | 30% - 50% | Possible but not expected |
| $0.50 - $0.70 | 50% - 70% | Leaning yes; moderate confidence |
| $0.70 - $0.90 | 70% - 90% | Likely; strong consensus |
| $0.90 - $0.99 | 90% - 99% | Near certainty; very little upside |
It is important to consider the bid-ask spread when reading prices. The bid is the highest price a buyer will pay, and the ask is the lowest price a seller will accept. A wide spread (e.g., $0.55 bid / $0.65 ask) indicates low liquidity and less market confidence in the midpoint price. A tight spread (e.g., $0.72 bid / $0.73 ask) suggests strong agreement and active trading.
For a deeper dive into prediction market terminology, visit our prediction market glossary. Understanding terms like implied probability, settlement, and order book depth will make you a more informed trader.
Major Prediction Market Platforms
The prediction market landscape has expanded rapidly since 2020. Here are the most important platforms operating today, each with different strengths, regulatory status, and target audiences. For detailed head-to-head breakdowns, visit our platform comparison pages.
Kalshi
CFTC RegulatedThe first fully CFTC-regulated prediction market exchange in the United States. Kalshi offers hundreds of markets across economics, politics, weather, and more. It uses a central limit order book (CLOB) model, allowing traders to place limit orders at specific prices. Minimum trades start at $1, and the platform supports both web and API access.
Polymarket
Crypto-NativeThe largest crypto-native prediction market, built on the Polygon blockchain. Polymarket gained massive traction during the 2024 U.S. presidential election, handling over $3 billion in volume. Markets settle using USDC, and the platform features deep liquidity on major events. Its transparent on-chain data makes it a favorite for researchers and quant traders.
PredictIt
Academic / LimitedOne of the original US-accessible prediction markets, operating under a CFTC no-action letter for academic research. PredictIt focuses primarily on political markets and has a loyal community of political traders. However, it caps positions at $850 per contract and charges a 10% fee on profits, making it less attractive for large-scale trading.
Manifold Markets
Play Money + SweepsA community-driven prediction platform where anyone can create markets on any topic. Manifold uses play money (mana) for most markets but has introduced sweepstakes markets for real-money trading. It is an excellent place to learn prediction market mechanics without financial risk and covers an incredibly broad range of niche topics.
Metaculus
Forecasting PlatformWhile not a traditional exchange, Metaculus is a leading forecasting platform where participants submit probability estimates rather than trade contracts. It excels at long-term and scientific questions, and its aggregated forecasts are widely cited in research and media. Metaculus is invaluable for calibrating your own forecasting skills.
Want to compare these platforms side by side? Our prediction market platforms overview provides detailed feature comparisons, fee structures, and recommendations based on your trading style.
Types of Prediction Markets
Not all prediction markets work the same way. Understanding the different market structures helps you choose the right platform and strategy for your goals.
Binary Markets
The most common type. A yes/no question with two possible outcomes. Example: "Will it snow in New York City on Christmas Day?" You buy "Yes" or "No" contracts. Simple, clean, and easy to price.
Multi-Outcome Markets
Markets with more than two possible outcomes. Example: "Who will win the 2028 presidential election?" Each candidate has a separate contract, and all contract prices should sum to approximately $1.00. These markets create arbitrage opportunities when prices are mispriced.
Range / Bracket Markets
Markets that cover numerical ranges. Example: "What will CPI inflation be in June 2026?" with brackets like 2.0%-2.5%, 2.5%-3.0%, etc. Popular on Kalshi for economic indicators and weather events.
Continuous / AMM Markets
Markets using automated market makers (AMMs) instead of order books. Prices adjust algorithmically as traders buy and sell. Common on crypto platforms like Polymarket. Provides guaranteed liquidity but can result in higher spreads for large orders.
Real-World Use Cases for Prediction Markets
Prediction markets are more than just trading venues. They serve as powerful information aggregation tools used across business, government, media, and research.
Financial Hedging and Risk Management
Businesses use prediction markets to hedge against event risk. A company sensitive to Fed rate decisions can buy contracts to offset potential losses. This is similar to how futures and options work in traditional finance, but for a broader set of events.
Journalism and Media
Major news outlets now cite prediction market prices as real-time probability indicators. During elections, prediction market odds are often more accurate and responsive than traditional polling. Bloomberg, The Economist, and the Financial Times regularly reference Polymarket and Kalshi prices.
Corporate Decision-Making
Companies like Google and HP have used internal prediction markets to forecast product launch dates, project success, and resource needs. These internal markets often outperform traditional planning methods because they incentivize honest assessments from employees across the organization.
Academic Research
Researchers use prediction market data to study information aggregation, market microstructure, and the accuracy of collective forecasting. Platforms like Metaculus provide rich datasets for studying human judgment and calibration. Our prediction market data API makes accessing this data easy for research projects.
Finding Your Edge in Prediction Markets
Profitable prediction market trading is not about gambling; it is about systematically finding situations where the market price is wrong. Here are the primary strategies traders use to find edges.
Cross-Platform Arbitrage
The same event often trades at different prices on different platforms. If Kalshi prices "Fed rate cut" at $0.65 and Polymarket prices it at $0.58, there is a potential edge. EVSignals' cross-platform scanner automates finding these discrepancies across 500+ sources.
Fundamental Analysis
Deep research into the underlying event can give you an information edge. If you are an expert on Federal Reserve policy, you may have a better probability estimate than the market. Building quantitative models using historical data, polls, and other inputs lets you systematically identify mispriced markets.
Expected Value (EV) Calculation
Every trade should be evaluated by its expected value: your estimated probability multiplied by the potential payoff, minus your estimated probability of loss multiplied by the potential loss. Positive EV (+EV) trades are the only ones worth making over the long run. Learn more in our +EV betting strategy guide.
EVSignals Tools for Edge-Finding
We built EVSignals specifically to help traders find and act on prediction market edges faster. Here is what is available: