Prediction Markets · Start Here Part 1 · For Newcomers

What is a prediction market?

You've started seeing strange percentages on the news — "68% likely." They come from a market you can actually trade. Here's what that means, in plain terms — the foundation for everything else in this series.


If you've watched the news lately, you've seen a new kind of number. Not a poll, not a pundit's hunch — a hard percentage that updates live: this candidate is 68% likely, that rate cut is 40% likely. As of December, both CNN and CNBC started putting these odds on screen.1 They come from something called a prediction market.

This is the simplest possible explanation of what that is — no jargon, no math heavier than a coin. It's the first piece in a series, and everything else builds on this one idea. So let's get it right.

The world's simplest contract

A prediction market is a place to buy and sell one very simple thing: a contract that pays you $1 if some event happens, and nothing if it doesn't.

That's the whole object. Pick an event — say, "Will it rain in Hanoi tomorrow?" Someone writes a contract: it pays $1 if it rains, $0 if it stays dry. Now people can buy and sell that contract, the same way they'd trade a share of stock.

If you were certain it would rain, you'd happily pay almost a full dollar for something about to pay you a dollar. If you were certain it wouldn't, you'd pay close to nothing. But the truth is usually somewhere in the middle — and that "in the middle" is where the magic is.

The price is the chance

Here is the one idea that makes the whole thing work. Because the contract pays exactly $1 when the event happens, the price people will pay tells you how likely they think it is.

Suppose the rain contract is trading at 62¢. Why 62, and not 90 or 10? Because the crowd — with real money on the line — collectively believes there's about a 62% chance of rain. The price and the probability are the same number wearing different clothes:

$$ \text{price} \;\approx\; \text{chance} \times \$1 \qquad\Longrightarrow\qquad \$0.62 \;=\; 62\% $$
WILL IT RAIN IN HANOI TOMORROW? 62% YES · RAIN · 62¢ NO · 38¢ 0% 100% One contract pays $1 if it rains, nothing if it doesn't.
Fig 1 — a price you can read as a probability

Read the price, and you've read the odds — no translation needed. And the number is alive: if the forecast worsens, buyers push the price up toward 100¢; if the skies clear, it slides toward zero. It moves with the world, in real time.

100% 50% 0% STORM FORECAST SKIES CLEAR TIME →
Fig 2 — the price is a live forecast: it moves the moment the news does

Why the number is worth trusting

A poll is free to answer, and free to answer wrong. A market is the opposite: every opinion is a bet, and being wrong costs real money. So the people who study hardest and know the most push the price toward the truth — because there's a profit waiting if everyone else has it wrong. That pressure is why a market price is usually a sharper forecast than a poll, a pundit, or a panel of experts.

A poll asks what people say. A market shows what they'll back with their own money.

So why would anyone trade one?

Three kinds of people show up to a prediction market — and the third is the one that matters most for everyone else:

To profit
You think you know better
If you believe the crowd's price is wrong, you can buy or sell and make money when you turn out right.
To protect
You want a hedge
If your harvest depends on a dry month, a contract that pays out when it rains softens the blow. Insurance you can just buy.
For free
Everyone else, watching
The traders chase profit; the by-product is a live, honest forecast anyone can read — a journalist, a planner, you.

That last column is the quiet wonder of the whole design. Nobody sets out to produce a public forecast. They're all chasing their own profit. But the price they fight over becomes one — a number the rest of us get to read for nothing.

Then… isn't it just gambling?

Fair question — there's money and uncertainty, like a casino. But there's a crucial difference. At a casino, the house sets the odds and keeps an edge, so the average player loses by design. In a prediction market, nobody sets the odds. The price floats to whatever the crowd believes, and the people who forecast best win from the people who forecast worst. Your opponent isn't the house — it's the rest of the crowd. And unlike a roulette wheel, the outcome means something: it's a real-world fact, and the price was a real forecast of it.

An honest aside

Plenty of people do use these markets to bet on sports — that's most of the volume right now, and it's worth being upfront about it. But the thing that makes prediction markets special isn't the betting. It's the forecast they leave behind. We'll come back to that tension later in the series.

Where you've already seen them

These aren't a thought experiment. Two big venues — Kalshi and Polymarket — now trade well over $13 billion a month between them.2 In the United States they're regulated financial products: back in 2020, a government agency called the CFTC recognized this kind of contract as a legitimate asset class.3 That's why a regulated exchange like Kalshi can exist at all — and why its odds are now respectable enough to run on CNBC.

The one thing to remember

A prediction market is a place to trade simple contracts whose price is a live probability. Buy if you think the crowd is too low, sell if it's too high, and the price you all settle on becomes a forecast the whole world can read. That's the foundation.

From here, the series goes deeper: how the market actually works under the hood, why the crowd is so often right, and why this may be one of the more important financial ideas of the decade. But it all rests on the single sentence above — a price is a probability you can trade.

Notes
  1. CNN and CNBC each signed deals in December 2025 to show Kalshi's market-implied odds within their coverage; at CNN they are presented by chief data analyst Harry Enten. Kalshi; Finance Magnates.
  2. Combined monthly trading volume on Kalshi and Polymarket passed $13B by the end of 2025, up from under $100M two years earlier. Pew Research Center; The Block.
  3. CFTC recognition of event contracts as a regulated asset class, 2020.
SL
Seeker Labs
The research desk at Seeker — theses, trends, and where we see the next bets across markets, AI, and the technologies in between. By Viet Ho (Managing Partner) & John Nguyen (Research Partner).
hi@vietho.me · @congviet