Last updated: April 2026
Weather Prediction Markets
Temperature forecasts. Hurricane paths. Snowfall thresholds. Kalshi weather markets are the most misunderstood contracts in prediction markets — here is how they actually work.
Settlement Source Warning
Weather markets do NOT resolve based on your weather app. The contract specifies an exact data source, location, and measurement time. Learn the source before you trade.
Read how contracts resolve →What Are Weather Prediction Markets?
Weather prediction markets are binary contracts where traders forecast meteorological outcomes: temperature thresholds, hurricane landfalls, rainfall totals, and seasonal climate patterns. Traders buy "YES" (betting the weather outcome occurs) or "NO" (betting it doesn't). The market price reflects the aggregate probability assigned by all participants. Learn how prediction markets work →
Weather markets are unique because they combine public information (forecasts, models) with real-world hedging demand from businesses with genuine weather exposure — farms, utilities, logistics companies, and energy traders. This creates efficient price discovery around actual meteorological probabilities. Before trading, review the fee comparison and check your state's access.
Note: Kalshi is the primary CFTC-regulated exchange with active weather markets in the US. No other US-regulated platform offers comparable daily temperature contract volume.
Market Categories
Temperature Above/Below
Daily and monthly temperature threshold contracts across hundreds of US cities. Markets price the probability of official NOAA readings exceeding or falling below a specified value.
Example: Will NYC high exceed 75°F on July 4th?
Hurricane Landfall
Binary contracts on hurricane landfall location, timing, and intensity. Resolution follows NHC official advisories — the only authoritative source for track and intensity.
Example: Will a hurricane make landfall in Florida this week?
Snow & Precipitation
Snowfall totals, rainfall accumulation, and precipitation threshold contracts. Markets use NWS cooperative observer or ASOS station data for 24-hour measurement periods.
Example: Will Boston get 6+ inches of snow this week?
Heat Index / Hot Days
Heat index and extreme heat contracts covering dangerous summer conditions. These markets attract hedgers in energy, agriculture, and public health sectors.
Example: Will the heat index exceed 100°F in Dallas?
Severe Weather
Tornado, thunderstorm, and severe weather event contracts. Resolution based on official NWS warning issuance for the specified region and time window.
Example: Will a tornado warning be issued in Oklahoma?
How Weather Contracts Actually Resolve
The Resolution Source Problem
NOAA ASOS stations measure weather at a single precise location using calibrated instruments — not interpolated regional models. Your weather app uses a blend of model data, nearby station averages, and proprietary algorithms that can differ significantly from the official reading.
- • 73.8°F at the official NOAA station does NOT equal 74°F on your weather app. A contract resolving at 74°F threshold will settle NO even if your phone shows 74°F.
- • Time of observation matters. An official station may record the daily high at a specific measurement window. Your app may update continuously — these are different data points.
Resolution Data Sources by Contract Type
| Contract Type | Typical Resolution Data Source |
|---|---|
| Temperature | NOAA ASOS official hourly average at a named station (e.g., KORD for Chicago O'Hare). Not a city-wide average — one specific station. |
| Hurricane Landfall | National Hurricane Center (NHC) official advisory — specific cone/track point at the time of landfall confirmation. |
| Snowfall | NWS cooperative observer or ASOS station — 24-hour measurement period as specified in the contract. |
| Rainfall | NWS or ASOS hourly precipitation accumulation at the named gauge specified in the contract. |
Note: Always verify the exact source in the contract spec. Resolution sources can vary by contract even within the same category.
How to Find the Exact Source Before Trading
- 1.Every Kalshi contract links to its full contract spec. Read the "Source" field before buying — it will name the exact station or data provider.
- 2.Robinhood wraps Kalshi contracts but may not prominently display the full resolution spec. Always go to Kalshi.com to verify the source before placing a trade through Robinhood.
- 3.Check the NOAA station code (e.g., KORD, KLAX, KBOS) listed in the contract — not just the city name. Two stations in the same city can have meaningfully different readings.
Which Platforms Offer Weather Markets?
| Platform | Weather Markets | Regulatory Basis | Notes |
|---|---|---|---|
| Kalshi | Full suite — hundreds of daily contracts | CFTC DCM + DCO | Primary operator; most liquid weather market venue in the US |
| Robinhood | Via Kalshi infrastructure | CFTC FCM (Robinhood Derivatives LLC); own DCM/DCO (Rothera, via Rothera LLC JV with Susquehanna) expected Q2 2026 | Limited display; verify full resolution spec at Kalshi.com |
| Polymarket | Limited / seasonal | CFTC DCM (via QCX LLC) | No daily temperature markets; seasonal events only |
| Interactive Brokers (ForecastEx) | Full weather suite | CFTC DCM (ForecastEx) | Institutional-grade; weather is the top-traded category on ForecastEx |
Notable Weather Market Cases
Hurricane Helene 2024
Case StudyHurricane Helene made landfall as a Category 4 storm in September 2024. Kalshi's hurricane landfall markets resolved cleanly on official National Hurricane Center advisories — the contract specified NHC track data as the sole resolution source, not news reports or third-party storm trackers. Markets settled within approximately 2 hours of the NHC official landfall confirmation.
Key lesson: NHC advisory is the authority — not news reports or storm track apps. Markets resolved correctly even when media coverage lagged official NHC confirmation.
Northeast Winter 2025 Snowfall
Case StudyA major winter storm in January 2025 produced variable snowfall across the Northeast. ASOS stations in the same metro region showed readings ranging from 4.2 to 8.6 inches depending on location. Traders who assumed 'Boston' meant their neighborhood were surprised when the contract resolved on a specific named airport station that recorded below-threshold snowfall.
Key lesson: Check which station ID is specified in the contract, not just the city name. Two stations in the same city can differ by several inches in a snow event.
Robinhood Temperature Market Controversy
Case StudyA widely-discussed 2025 controversy arose when Kalshi temperature market traders using Robinhood's interface were surprised by contract resolution outcomes. Kalshi's contract resolved correctly on official NOAA ASOS station data. Robinhood's interface did not prominently display the resolution spec, leading to confusion when phone weather apps showed readings that differed from the official station by 1–2°F.
Key lesson: The contract was correct. The interface created an information gap. Always verify the full resolution spec at Kalshi.com before placing a temperature trade through any wrapper platform.
Read the full controversy breakdown →How Traders Approach Weather Markets
Weather Model Parsing
Use public forecast models (GFS, NAM, HRRR) and professional tools (Weather Bell, Tropical Tidbits) to build probability distributions and compare against market prices. Models are often available hours before markets fully reprice, creating edge windows.
Ensemble Forecast Edges
Markets occasionally underprice or overprice particular outcomes when ensemble weather models show divergence. Identifying consensus among meteorological models vs. market pricing can create tradeable edge — particularly in 12–48 hour windows.
Station Microclimate Knowledge
Residents and meteorologists familiar with specific regions know microclimates and station placement characteristics. A station in a cold valley vs. warm downtown can shift probabilities meaningfully. This local knowledge is a legitimate edge.
Hedging Real-World Risk
Farmers, utilities, event planners, and logistics companies use weather markets to offset operational risk. A farmer concerned about frost damage can buy "will temperature drop below 28°F?" contracts to hedge potential crop loss. This is the legitimate commercial use case the CFTC built these markets for.
Honest risk framing: Weather markets are not weather forecasting services. Even professional meteorologists routinely miss temperature readings by 1–3°F — which can be the difference between a YES and NO resolution. Volume and liquidity on niche location contracts are often thin; factor in spread costs before trading.
Are Weather Prediction Markets Safe?
CFTC Regulated
Kalshi is a CFTC Designated Contract Market (DCM) — the same federal oversight framework as the Chicago Mercantile Exchange. Not a sportsbook. Not a prop betting site.
Official Government Data
Resolution uses NOAA and NHC official data — federal meteorological agencies. Not proprietary, private, or app-based data sources that could be gamed or disputed.
Formal Dispute Process
The CFTC provides a formal complaint mechanism for resolution disputes. Kalshi is contractually bound to honor this oversight process under its DCM designation.
Resolution disputes do happen. The Kalshi mention-market controversy showed that resolution language can be ambiguous — even on a federally regulated platform. Always read the full contract spec before trading.
Read the controversy case →All Prediction Market Platforms
Compare every platform available to US traders.
CFTC DCM (via QCX LLC)
CFTC IB via CME DCM
CDNA DCM + DCO
CFTC FCM + DCM/DCO
Frequently Asked Questions
Are weather prediction markets legal in the US?
Kalshi is a CFTC-regulated Designated Contract Market, making weather prediction markets federally legal in most US states. This is not sportsbook gambling — it operates under the same federal oversight framework as the Chicago Mercantile Exchange. Check Kalshi's state restrictions page for your specific state.
Why did I lose my weather market if I was right about the temperature?
Weather markets resolve on official NOAA ASOS station data at a named station — not weather apps. A 74°F reading on your phone vs 73.8°F at the official NOAA station means the contract resolves NO. Always check which station the contract specifies before trading.
Which platform offers the most weather markets?
Kalshi dominates weather prediction markets with hundreds of daily temperature contracts across US cities. Interactive Brokers ForecastEx also offers an active weather suite with institutional-grade infrastructure. Robinhood routes weather trades through Kalshi. Polymarket runs a smaller slate of weather markets — including European airports — and in April 2026 swapped its Paris weather oracle from Roissy-CDG to Le Bourget. See the dedicated explainer at /how-polymarket-resolves-weather-and-what-happened-at-roissy for the full timeline and verification checklist.
What data source does Kalshi use for temperature markets?
Kalshi temperature contracts resolve on NOAA ASOS (Automated Surface Observing System) official hourly average data at a named station. For example, Chicago contracts typically use KORD (O'Hare Airport). The station ID is specified in every contract spec — always verify before trading.
Can I trade hurricane landfall markets?
Yes. Kalshi offers hurricane landfall markets that resolve on official National Hurricane Center (NHC) advisories. These markets are active during Atlantic hurricane season (June through November) and cover specific landfall locations and intensity thresholds.
What is the difference between Kalshi weather markets and Robinhood weather markets?
Robinhood routes weather trades through Kalshi's exchange — same underlying contract, same resolution rules, same NOAA data source. The key difference is Robinhood's interface may not prominently display the full resolution spec. Always verify the contract source at Kalshi.com before placing a trade.