Weather and Climate Markets
Settled by meteorological agency data against a named station and threshold. The cleanest resolution in event markets, with a few specific traps.
Weather contracts are the most cleanly settled category in event markets. A named station, a named measurement, a named threshold, a published record. Almost nothing to argue about.
They still have traps, and the traps are specific.
The structure
A typical contract asks whether a measured value at a specific location exceeds a threshold during a specific period. Daily high temperature, monthly rainfall, seasonal storm counts, record thresholds.
The settlement source is a meteorological agency's published record for a named station, which is about as unambiguous as event contracts get.
The traps
The station, not the city. A contract on a city's temperature settles on one specific weather station, which is frequently at an airport some distance from where most people are. Its readings differ from the city average in consistent ways.
Preliminary versus final data. Meteorological records go through quality control and are sometimes corrected. The contract names a vintage. As everywhere, the named vintage settles it. Where settlement numbers come from.
The measurement window. A "daily high" is the maximum over a defined period in a defined time zone. Those definitions do not always match the intuitive day.
Rounding. Temperatures are reported to a defined precision and thresholds sit at those values, so exact ties happen. Read the comparison operator.
Why the forecasting is unusually good
Weather is the one domain where professional probabilistic forecasting has been done rigorously for decades, and where calibration is routinely measured and published.
That means two things. First, public forecasts are genuinely well calibrated at short horizons, so a market price that deviates far from them is more likely to be wrong than insightful. Second, this is an excellent domain for practising forecasting, because feedback arrives daily and a reference forecast is always available. Calibration curves.
The horizon matters enormously. Forecasts a day or two out are excellent; two weeks out they carry almost no information beyond climatology. The market price should — and largely does — reflect that difference.
Base rates are easy here
Historical station data is public and long. For any threshold question, you can compute how often it has happened over decades and get a defensible base rate in a few minutes.
That is unusually good conditions for the base-rate-first habit, which is why weather is a good training ground even if you never trade it.
Climate-scale contracts
Longer-dated contracts on annual or multi-year climate measures exist. They combine a genuinely well-understood underlying trend with a long settlement horizon, which means all the long-horizon market problems apply: wide spreads, thin books, and a capital cost that dominates any apparent mispricing.
Cross-venue notes
Where two venues list the same weather question, check the station and the vintage before anything else. Two contracts on "the temperature in a city" that name different stations are different contracts, and the difference between them is real weather, not a gap. Resolution differences.
Next
Crypto price markets, which are harder than they look.
Educational content only. Nothing here is financial advice, a solicitation, or an offer to trade. Prediction markets can move against you and a position can lose its entire value. Where this guide describes a difference between venues it describes a theoretical cross-market edge in observed prices, which is not a profit: fees, spreads, capital lockup, transfer time and differing settlement rules all come out of it first.
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