TOTAL VOLUME:
$124b
24H VOL:
$84,547,050
24H TRANSACTIONS:
2,121,338,658
OPEN INTEREST:
$1,287,835,486
364,458
Markets across
33,243
events
MATCHED EVENTS:
3,079
PLATFORM COVERAGE:
5
Polymarket:
41%
VS.
Kalshi:
59%
Temperature, snowfall, and hurricane contracts resolve against NOAA and National Weather Service data, not a forecaster's opinion. Here's how the brackets, splits, and pricing actually work.
Jared Polites
Aug 27, 2026

TL;DR
Ever check a forecast, see "70% chance of snow," and wonder what a trader would actually pay for that number? On a weather prediction market, you can find out directly: contracts on temperature brackets, snowfall totals, and hurricane outcomes trade at real prices that update every time new forecast data lands.
Those prices resolve against official government records, not a meteorologist's best guess. Polymarket, Kalshi, Limitless, Predict.Fun, and Opinion all list weather and climate contracts today, and Kalshi in particular has built out one of the deepest weather categories of any regulated exchange.
A political market resolves once, on election night. A weather market can resolve daily, weekly, or seasonally, because the thing it's tracking, actual atmospheric behavior, is measured continuously rather than decided in a single event.
That difference changes how the contracts get built. A market on "the highest temperature in New York City on a given date" isn't asking traders to call a discrete yes-or-no outcome. It's asking them to price where a continuous number lands relative to a threshold, which is a different problem than pricing an election or a game.
That's why temperature and snowfall contracts are usually structured as brackets rather than a single question. Instead of one contract for "temperature exceeds 90 degrees," a platform lists a ladder of narrow ranges, each trading as its own contract with its own price.
Here's a live example rather than a hypothetical one. As of August 26, Polymarket's "highest temperature in Chicago" market for the following day has the 80-81°F bracket trading near 56%, with 78-79°F priced near 22%. Its Miami market for the same date has 90-91°F near 52% and 88-89°F near 20%.
Each of those numbers is a separate, independently traded contract. Reading the ladder side by side, not just the single highest bracket, is what shows a trader where the market's real uncertainty sits, rather than just its single best guess.
A hurricane's outcome has more than one dimension: whether it forms at all, what category it peaks at, and where and when it makes landfall. Weather platforms typically split these into separate contracts rather than trying to price all of it in one question.
One contract tracks formation probability once a tropical disturbance is flagged. A second tracks peak intensity on the Saffir-Simpson scale. A third tracks landfall location, usually bucketed by coastline region rather than an exact city, since a storm's forecast cone stays wide until roughly 24 to 48 hours before landfall.
Kalshi's climate and hurricane markets follow this structure for the 2026 Atlantic season, listing separate formation, intensity, and landfall-region contracts for named storms as they develop. Each one resolves against a different official advisory, so a single storm can produce several independently priced contracts running at once.
Every weather contract needs a resolution source that's public, timestamped, and controlled by no single trader. That's why these markets settle against NOAA and NWS field-office data rather than a private forecasting app.
This matters more here than in almost any other market category, because the raw data itself carries real ambiguity. Two weather stations in the same city can log different snowfall totals depending on instrument placement. A hurricane's official landfall time depends on which National Hurricane Center advisory gets treated as authoritative.
Platforms write their resolution rules around one specific NOAA or NWS data product: a named station, an advisory number, or a Local Climatological Data report. Read that language before taking a position. It's the difference between a contract that pays out cleanly and one that ends in a dispute because the observed number sat right on a bracket line.
Climate-milestone contracts (questions like whether a given year ranks among the warmest on record) resolve even further downstream. Those typically wait on NOAA's annual global climate summary, so the contract can stay open for months after the underlying weather already happened, simply because the official tabulation takes time.
Weather prices move on two clocks. A slow, seasonal clock prices a contract against historical climate averages for that location and date. A fast clock takes over once a storm system or cold front enters the seven-to-ten-day forecast window.
From that point, prices shift with every new run of the Global Forecast System and the European model. By the 24-hour mark, prices tend to compress toward the extremes, often near $0.05 or $0.95, because the outcome is close to determined and there's little real uncertainty left to price.
That's the same mechanism that prices any prediction market. A contract at $0.08 implies an 8% chance either way. What's distinctive in weather is how fast that number can move: a single updated hurricane track can shift a landfall-region contract by 20 points in an hour, something a political poll almost never does to an election contract.
A National Weather Service forecast might say "70% chance of snow." A prediction market shows the range of outcomes traders are pricing around that forecast, including tail scenarios a single point forecast doesn't surface, like the odds of a storm significantly over- or underperforming the official call.
The category is also one of the fastest-growing outside politics and sports, driven by real economic exposure. Agriculture, energy trading, insurance, and event planning all have direct financial interest in specific temperature and storm outcomes, which is pulling weather contracts from a niche curiosity into a core listing across all five platforms.
Kalshi, as a CFTC-regulated exchange, has leaned hardest into weather as a flagship category. Temperature and precipitation outcomes are exactly the kind of well-defined, publicly verifiable events regulators are comfortable listing.
Polymarket runs weather and hurricane markets alongside its broader event slate, with the deepest crypto-native liquidity of the group, evident in the live Chicago and Miami brackets above. Limitless Exchange lists shorter-duration climate contracts suited to traders watching a single storm system in real time.
Predict.Fun adds its yield-on-collateral mechanic to open weather positions, which matters for anyone holding a seasonal contract for weeks at a time. Opinion, built around macro and economic event trading, treats major climate milestones as part of its broader systemic-risk coverage rather than a standalone category.
Every platform prices its own brackets independently, so the same weather event can show different odds on different platforms. It's the same reason odds disagree across prediction markets generally, not just in weather.
An exchange where traders buy and sell contracts tied to a specific, measurable weather or climate outcome, such as a temperature bracket, snowfall total, or hurricane category. Prices reflect the market's collective probability estimate and resolve against official data.
They resolve using National Weather Service and NOAA advisory data, typically referencing a specific advisory number, category classification, or landfall location as reported in the official record. Each platform specifies the exact data source in its contract's resolution rules.
NOAA and NWS records are public, timestamped, and archived, which makes them auditable after a contract resolves. A private forecasting app's data isn't standardized or guaranteed to be preserved, which makes it a weak foundation for settling money.
No. They aggregate the same forecast models meteorologists already use, priced through trader positions. They're a probability layer on top of existing forecasts, not an independent forecasting method, and their resolution still waits on the same official advisories.
Yes. Polymarket, Kalshi, Limitless, Predict.Fun, and Opinion all list temperature, precipitation, or storm contracts, though depth and structure vary by platform.
Reading a weather contract's bracket ladder side by side with the live forecast tells you more than either one alone. Explore live prediction markets and real-time pricing across all five platforms on PredictionHero.
PredictionHero aggregates publicly available prediction market data for informational purposes only. This is not financial advice. Prediction markets may not be available in all jurisdictions.
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