Prediction markets crossed $29.8 billion in monthly trading volume earlier this year. The Federal Reserve published research in February which found that prediction market prices were able to forecast Fed rate moves on par with Bloomberg consensus and fed funds futures. The parent company of the NYSE (ICE), has so far put $2 billion into the sector.
If you’ve been paying attention to your portfolio, you’ve probably noticed that prediction markets stopped being a curiosity sometime in the last 18 months. They’re now something that institutional money managers discuss at conferences, regulators argue about in court, and you see multiple articles about on your favorite financial news websites.
What you probably haven’t found is a straight answer to the questions that actually matter for your money: What are prediction markets? How are they different from gambling? Should you be doing something with them, or just watching them?
This guide gives you the practical breakdown.
What Are Prediction Markets, Really?
A prediction market is an exchange where you buy and sell “yes” or “no” contracts on whether a specific event will happen. Contracts trade between $0.01 and $0.99. If you’re right, the contract pays $1. If you’re wrong, it pays nothing.
The price itself is the market’s collective probability estimate. A “Will the Fed cut rates in September?” contract trading at $0.62 means the market thinks there’s a 62% chance it happens.
That’s the entire mechanic that runs true for all prediction market trading. Who runs the exchange, how disputes resolve, and which contracts are legal where, is different for each contract and platform.
A Quick History of Prediction Markets
Prediction markets aren’t new. Bets on papal succession were recorded in Italian city-states as early as 1503, and by the late 1800s Wall Street ran continuous betting markets on US presidential elections, with daily odds published in major newspapers and trading volumes that occasionally rivaled regular stock and bond activity. These markets were surprisingly accurate: economic historians who later studied them found that election betting odds frequently matched or beat the forecasts of pundits, party operatives, and the era’s equivalent of straw polls. They disappeared in the mid-20th century, pushed out by the rise of scientific polling (Gallup and its imitators) and a broader regulatory crackdown on financial-adjacent gambling.
Modern (electronic) prediction markets began in 1988, when three University of Iowa professors (Robert Forsythe, Forrest Nelson, and George Neumann) launched the Iowa Electronic Markets after polls badly missed Jesse Jackson’s win in the Michigan Democratic caucus. The IEM, which still runs today as an academic project with strict per-trader limits, demonstrated repeatedly that small-dollar real-money markets could outperform major polls in election forecasting. Intrade, an Irish platform launched in 2003, brought prediction markets to mainstream financial attention during the 2008 and 2012 US presidential elections before US regulatory action forced its shutdown in 2013. PredictIt, operating under an academic exemption from the CFTC since 2014, kept the format alive in the US during the gap years with strict per-trader caps and a limited slate of contracts.
The current era starts with two platforms that both launched in 2020: Kalshi, which received CFTC approval as a Designated Contract Market that November (the first prediction market ever to earn the status), and Polymarket, which launched on the Polygon blockchain. Polymarket’s path to legitimacy was rockier — a $1.4 million CFTC settlement in January 2022 forced it to block US users for nearly three years, and it only re-entered the US market after acquiring CFTC-licensed exchange QCEX for $112 million in late 2025.
The inflection point for the whole category came with the 2024 US presidential election, when Polymarket alone processed billions of dollars in election-related contracts (largely from non-US traders) and brought prediction markets into mainstream financial conversation. The roughly 100x growth in combined US volume across Kalshi and Polymarket through 2025 and into 2026 is what put the category in front of regulators, institutional investors, and most of the financial press.
Why You’re Hearing About Them Everywhere This Year
Three things changed in 2026. The CFTC officially classified prediction markets as “swaps” in early 2026, giving them federal preemption against state gambling laws. Kalshi closed a $22 billion Series F in May with Coatue, Sequoia, and Morgan Stanley participating. And the Federal Reserve published its February paper finding that prediction market prices forecast rate moves on par with—or better than—Bloomberg consensus. Institutional money decided this is a real asset class.
How Prediction Markets Actually Work
Every contract is binary: yes or no. There’s no partial credit. The price moves based on supply and demand. This means that if there are more buyers of “yes,” the price rises toward $1; more sellers, it falls toward $0.
Two structures dominate:
- Order book exchanges: like a stock exchange. Every buy needs a matching sell, with prices set by the order book. Trades clear instantly at the best available match.
- Automated market makers: a liquidity pool sets prices algorithmically based on how much each side has been bought. Faster to launch new markets, but pricing can move sharply on small trades in thin contracts.
- Resolution: at expiration, every contract settles at $1 (yes) or $0 (no). The winning side gets paid; losers get nothing.
A $100 Trade Example, Step by Step
💰 EXAMPLE
You buy 100 “Yes” shares of Fed cuts rates in September at $0.42.
Cost: $42
* If Yes: payout $100, profit $58
* If No: payout $0, total loss $42
Note the asymmetry. Your downside is capped at what you paid; your upside is capped at $1 per share. This is defined-outcome speculation rather than leveraged exposure.
How Outcomes Get Resolved
As with most things in life and finance, resolution sounds simple until reality gets messy. Kalshi resolves contracts using pre-specified official sources such as the Bureau of Labor Statistics for inflation data, or the FEC for election results. Polymarket uses an oracle system that lets token holders vote on outcomes when there’s ambiguity.
Both have had disputed resolutions, particularly when contract wording leaves room for interpretation. This is a real risk to budget for, especially in niche markets.
What If You Change Your Mind?
You don’t have to hold contracts to expiration. As long as someone’s on the other side of the trade, you can sell at the current market price any time before the event resolves — locking in a partial gain or cutting a loss, the same way you’d exit a stock position. In thin markets, though, the spread between buyers and sellers can be wide enough that the option to exit isn’t worth much in practice.
Prediction Markets vs. Gambling vs. Binary Options
This question is the single biggest source of confusion for folks new to prediction market trading. The differences matter because they determine regulation, taxation, and how you should think about the activity and how it matches (or doesn’t!) to your personal investment thesis.
Prediction markets are peer-to-peer exchanges. The platform doesn’t take the other side of your trade—another user does. The platform Kalshi, for example, is regulated by the CFTC as a Designated Contract Market, the same status as commodity futures exchanges.
Sports betting uses a “house” model. The sportsbook sets the odds, builds in a margin (the “vig”), and acts as your counterparty. The book profits when you lose. State gambling regulators oversee it.
Binary options are typically OTC derivatives offered against an underlying financial asset like a stock price or currency pair. Many are unregulated or offshore; the SEC has warned about widespread fraud in the binary options industry. The yes/no payout structure is similar, but the regulatory status and mechanics are not.