Market Explainer

Weather Prediction Market Contracts

What these contracts are, how they settle on official weather data, a worked temperature example, and who trades them.

By Top Prediction Markets EditorialReviewed September 7, 20265 min read

Answer first

Weather prediction market contracts are event contracts whose value tracks the probability of specific weather outcomes, like a daily high exceeding a threshold. They resolve using predefined official weather data (NOAA, national services, or a specific station) and contract rules. Traders include hedgers, researchers, and active market participants who use prices as probability signals or to manage weather risk.

One-line difference: yes/no event contracts versus range (scalar) contracts

Yes/no event contracts — often called Yes contract or event contract — pay a fixed amount (typically $1) if a specified observation meets a binary condition (for example, "High temperature > 80°F"). Range (scalar) contracts instead resolve to a value or to a bracketed payoff based on the measured quantity (for example, categories of temperature or a payment proportional to the reported value). Both depend on a pre-specified weather observation and both use traded prices to express market expectations, but they communicate and settle differently.

Side-by-side comparison

Feature	Yes/No (event) contracts	Range / scalar contracts
Basic payoff	Fixed $1 if the event happens, $0 otherwise	Pays according to which range the observation falls in or proportional to reported value
What a price means	Price (e.g., 62¢) implies market probability the event occurs (62% at $0.62)	Price structure implies expected value across ranges; interpretation is more complex than a single probability
Example contract text	"Will the maximum temperature at Station ABC on 2026-09-01 be greater than 82°F as reported by NOAA?"	"What will the maximum temperature at Station ABC on 2026-09-01 be?" with bracketed payout buckets or continuous settlement
Numeric example preserved	If a Yes contract costs $0.62 and pays $1 if true: buy at $0.62, win $1 → gain $0.38 before fees; lose → −$0.62	No explicit numeric example in this guide; payoffs depend on bracket definitions or formula in contract text
How to read price quickly	Read as implied probability (62¢ → 62%)	Requires reading bracket definitions or settlement formula to convert price into expected value
Resolution source and precision	Resolves to one pre-specified data source (NOAA, Met Office, a specific station). Rounding rules (e.g., does 79.5°F count as 80?) and fallbacks are in the contract	Same dependence on chosen source and rounding; brackets and formulas make rounding effects potentially more complex
When traders prefer it	Simple hedges, clear binary exposure, easy interpretation	When users need exposure to magnitude (e.g., degree-days, graduated payouts)
Typical liquidity behavior	Often thin for many weather contracts; prices can reflect a few participants	Also often thin; complexity can further reduce participation and increase bid-ask spreads
Best for non-experts	Easier: price → probability	Harder: requires mapping bracketed payoffs to practical meaning

How resolution and data-source details change what the prices mean

Both contract types resolve to a single, pre-specified data source. That might be a national meteorological service (NOAA, Met Office, etc.), a specific airport or station observation, or a reanalysis product. The contract text will say exactly which source and which field (for example, "Daily maximum temperature at 00:00–23:59 local time, Station KXYZ, as reported by NOAA").

Resolution rules address small but important issues: rounding (does 79.5°F count as 80?), adjustment for instrument error, and fallbacks if the primary station reports missing or suspect data. Markets usually list an alternate source or a referee for disputes. Those details determine whether a quoted price actually matches the weather information you have in mind.

Common mistake: assuming a city-level headline temperature applies. Many contracts use a single station that may sit on an airport tarmac or outside the city center. That difference can move a market price materially on borderline days. This applies equally to Yes/No contracts and to range contracts, though rounding and bracket boundaries make the practical impact especially important to check for scalar payouts.

How to interpret the 62¢ example and the practical math behind it

If a contract saying "High temperature > 80°F on 2026-09-01 at Station X" trades at $0.62, markets are roughly pricing a 62% chance that the high will exceed 80°F. Here's the buy-and-hold arithmetic using the preserved example from the existing guide:

If a Yes contract costs $0.62 and pays $1 if the event happens, buying one contract costs $0.62. If the event happens, the contract pays $1, so the gain before fees is $0.38. If the event does not happen, the contract expires at $0, so the loss is $0.62.

Translate that to implied probability and outcomes: the market is pricing a 62% chance of exceeding the threshold. If you buy one contract and the temperature ends up above the threshold, your gross return is $0.38 on a $0.62 cost (roughly a 61% return before any platform fees). If the temperature does not exceed the threshold, you lose your $0.62 stake.

A few practical notes that apply to both contract types: resolution can change when measurements are rounded — a model projecting 81.6°F might be treated differently depending on rounding rules. Also, platform trading fees and spreads reduce realized gains, so check each market’s fee schedule.

Who trades each type and which should you use?

Hedgers: Energy firms, agricultural businesses, and event organizers sometimes use markets to offset weather exposure. They prefer contracts tied to reliable stations and settlement rules that match their physical risk. For a simple yes/no hedge (e.g., "Will frost occur?"), a Yes/No contract is straightforward. For exposures that scale with temperature (degree-days), a range or scalar contract better matches the economic risk.

Analysts and researchers: Academics and data scientists use market prices as an additional realtime signal about expected weather outcomes and model performance. Yes/No prices give easy probabilistic checks; scalar markets provide richer information about expected magnitudes.

Market participants/speculators: Traders who study weather models and probabilistic forecasts may trade these contracts to express opinions. They should be aware that liquidity varies. Many weather contracts are thinly traded, so prices can be jumpy and reflect a few participants rather than a broad consensus. Where volume is low, prices can move sharply on new model runs or a single large order.

Plain guidance on which fits which reader:

If you want a single probability and straightforward payoff math, prefer Yes/No (event) contracts.
If you need exposure to magnitude (payments that rise with temperature or fall into bands), use range/scalar contracts — but read the bracket/payoff definitions carefully.
If you need to match physical exposure precisely (for hedging), match the contract’s data source, station, timezone, and rounding rules to the dataset you rely on.
If you care about interpretability and market activity, lean toward contract types and locations with visible trading volume; when volume is low, treat prices as directional rather than exact probabilities.

Frequently asked questions

Are weather prediction markets legal?

Rules vary by location and platform. See our dedicated guide on whether prediction markets are legal in the US.

Which official data sources do these contracts use?

Contracts name the source in their spec — common choices are NOAA, national weather services, or a named airport/station. The exact station and field (max, min, average) determine settlement.

What happens if the named weather station reports no data?

Most contracts include fallback rules: an alternate source, a referee, or a defined dispute process. Always read the resolution rules before trading.

Can I use weather market prices to hedge operational risk?

Many businesses use these contracts alongside other instruments, but match the contract’s measurement and timing to the exposure you want to hedge. Small, illiquid markets may not provide reliable hedge capacity.

Why do prices move quickly after a model run?

Weather model updates and new observations change probability estimates; when few traders are active, a single trader acting on new information can move the price a lot.