What Are Prediction Markets?

A prediction market is a platform where people trade contracts based on the outcome of future events. The price of each contract reflects the market's collective estimate of the probability that the event will occur.

For example, if a contract for "Will Candidate X win the election?" is trading at $0.65, the market is saying there is roughly a 65% chance of that happening. If you believe the probability is higher than 65%, you can buy the contract. If you think it's lower, you can sell (or short) it.

How Do They Work?

Every market has a binary outcome — YES or NO. Contracts are priced between $0.00 and $1.00 (or 0% to 100%). When the event resolves:

• YES contracts pay out $1.00 if the event happens
• NO contracts pay out $1.00 if the event does not happen
• The other side expires worthless

So if you buy a YES contract at $0.65 and the event happens, you profit $0.35 per contract. If it doesn't happen, you lose $0.65.

Why Are They More Accurate Than Polls?

Polls ask people what they think will happen. Prediction markets ask people to put money on it. This creates a powerful incentive for accuracy — you profit by being right and lose by being wrong.

Research consistently shows prediction markets outperform polls and expert forecasts on a wide range of outcomes, including elections, economic indicators, and geopolitical events. The mechanism is similar to stock markets: prices aggregate all available information and update instantly as new information emerges.

Real Money vs. Play Money

Some platforms like Polymarket and Kalshi use real money (or cryptocurrency). Others like Manifold Markets use "play money" — virtual currency with no real-world value. Play money platforms are great for learning the mechanics risk-free before committing real funds.

Who Uses Prediction Markets?

• Traders — looking to profit from superior information or analysis
• Researchers and analysts — using market prices as probability estimates
• Businesses — hedging against uncertain outcomes (e.g. regulatory changes)
• Curious learners — practicing forecasting and calibration skills
• Journalists and media — citing market-based probabilities in reporting

Popular Prediction Market Topics

• Elections and political events
• Economic indicators (inflation, interest rates, GDP)
• Sports outcomes
• Crypto prices and milestones
• Science and technology (AI breakthroughs, space launches)
• Global events (conflicts, natural disasters, pandemics)