Prediction markets, explained
Prediction markets are tools for turning uncertain future events into prices. This hub explains what they are, where they came from, who built the movement, how regulation works, and how PolyMath tools fit into a cautious research workflow.
This is educational content, not legal, financial, tax, or investment advice. Laws, platform terms, and market availability change quickly. Last reviewed: April 26, 2026.
Origins
The History of Prediction Markets
From election betting and the Iowa Electronic Markets to IARPA forecasting tournaments, Augur, Kalshi, Polymarket, and modern event contracts.
Current Snapshot
Regulation and Regional Availability
A plain-English map of what is known, what is changing, and why users should check platform rules and local law before participating.
Media Plan
Explainer Video Scripts and Visual Workflows
A production-ready curriculum for short educational videos with graphics, narrated workflows, and optional synthetic presenters.
What is a prediction market?
A prediction market is a market for claims about future events. A simple market might ask whether it will rain in New York City tomorrow. If YES trades at 70 cents in a $1 payout market, the market price is roughly saying that participants collectively estimate a 70% chance.
The important idea is not that the market is always right. It is that the price updates as people with different beliefs, incentives, and information respond to new evidence. In that sense, prediction markets are a public forecasting mechanism.
Some platforms are real-money exchanges. Others are forecasting communities that use points, reputation, or prizes. Both can teach useful habits: write down probabilities, update with evidence, score predictions, and learn from calibration error.
The four pieces every user should understand
A market question
Every prediction market starts with a question that must resolve against observable criteria, such as a published data release, election result, court decision, or sports outcome.
Tradable outcomes
Most markets use YES and NO contracts. A YES contract usually pays $1 if the event happens and $0 if it does not. The price acts like an implied probability.
Information aggregation
Participants with different information, models, incentives, and biases trade with each other. The resulting price can become a useful public forecast.
Resolution and risk
The hard parts are not just forecasting. Resolution wording, liquidity, fees, market manipulation, insider information, and jurisdiction all matter.
Why this belongs on PolyMath
The app already has calculators and research tools. The next layer is context: a user should understand why a 54 cent market is not automatically cheap or expensive, why market wording can matter more than the chart, and why a regulated platform can differ from a crypto-native global venue.
Educational pages also make the site more durable for search and review. They demonstrate original public-interest content and create a home for cautious explanations about risk, availability, and compliance.
Education curriculum
- What a prediction market is
- Why prices can be interpreted as probabilities
- The history from Iowa Electronic Markets to modern event contracts
- The difference between forecasting communities and real-money markets
- How regulation works in the United States
- Why availability varies by country, state, platform, and market type
- How to read market rules and resolution criteria
- How to use EV, Kelly, calibration, and drift tools as research aids
- How to avoid hype, overconfidence, and high-pressure claims
Quick regulatory snapshot
In the United States, the CFTC explains that event contracts are typically structured as swaps and that CFTC-regulated prediction markets are subject to market-integrity, surveillance, and customer-protection rules. Kalshi describes itself as a CFTC-regulated Designated Contract Market. Polymarket's help center currently lists the United States and other jurisdictions as restricted.
The safest educational wording is: check the platform's own eligibility page, check your local law, and do not use VPNs or other workarounds to bypass restrictions.
Primary sources
Next: turn education into a workflow
The strongest research loop is simple: read a short explainer, open a relevant tool, save the result, and come back later to compare the forecast with reality.