Weather prediction markets occupy a unique corner of the prediction market ecosystem — they turn the fundamental uncertainty of daily meteorology into tradable, binary outcomes. On Polymarket Trade, 138 active weather markets span cities from Tokyo to Wellington, with questions resolving on verifiable public data: official station readings, accredited meteorological services, and government weather agencies. With $2,539,300 in total liquidity and $246,268 changing hands in the past 24 hours, this category offers traders continuous access to short-horizon, data-rich markets.
Unlike political or economic markets where resolution can take months and depends on human judgment calls, weather markets typically resolve within hours or days based on objective numerical thresholds. Did the high temperature in Tokyo reach exactly 15°C on April 27? That question resolves on a single verified reading, not an analyst's interpretation. This makes the category accessible to anyone comfortable reading a weather forecast — and deceptively challenging to trade profitably for those who underestimate how precisely the market has already priced in the forecast consensus.
The current average YES price of just 1.3¢ across weather markets reflects the highly granular, binary nature of the questions. Rather than asking "will it be warm in Tokyo?", each contract asks whether temperature will hit an exact degree. Most individual degree-specific contracts trade well below 50¢ because the probability mass is spread across ten or more possible outcomes. Understanding this distribution structure — and how to think about aggregate probability across a temperature range — is the foundation of trading weather markets effectively.
What drives weather prediction markets
Weather prediction markets are binary-outcome contracts that resolve on objectively measurable meteorological data — typically temperature readings, precipitation totals, or similar quantifiable atmospheric conditions recorded at specific stations on specific dates. What sharply distinguishes them from other prediction market categories is their resolution infrastructure: outcomes are determined by public, auditable sources such as national weather services, airport observation data, or accredited meteorological agencies, not by editorial judgment or event outcomes subject to dispute. A market asking whether Tokyo's high will reach exactly 14°C on a given date resolves cleanly against the official station reading, with no room for interpretation or controversy. This data-driven resolution contrasts with political markets — where resolution waits on certification processes — or economic markets, where outcomes hinge on government statistical releases. Weather markets also share a distinctive distributional structure: questions are typically offered as a suite of closely spaced binary outcomes across a temperature or measurement range. Rather than one contract covering a "warm day" broadly, traders encounter ten or more individual contracts each representing a single degree interval. Probability is naturally distributed across this ladder, which means the sum of YES prices across all linked contracts in a temperature suite should approximate 100¢ — a structural insight that experienced weather traders apply constantly when scanning for mispricings.
The most common weather market format asks about the daily high or low temperature at a major city, reported to the nearest whole degree Celsius, on a specific calendar date. The top markets by liquidity currently include multiple contracts for Tokyo — covering high-temperature outcomes at 12°C, 13°C, 14°C, 15°C, and 16°C, as well as whether the low temperature will reach 19°C or higher, all resolving on April 27 — and for Wellington, with contracts for high temperatures at 10°C or below and exactly 11°C on the same date. This temperature-ladder format dominates the category and makes up the bulk of the $2,539,300 held across weather markets. Resolution sources are named explicitly in each market's description: Japan Meteorological Agency readings for the Tokyo observation station, MetService data for Wellington, and equivalent national agencies for other cities. Markets resolve YES if the observed measurement equals or crosses the stated threshold, NO if it does not. Boundary readings — for instance, a temperature recorded as 14.5°C when the contract asks about exactly 14°C — are governed by the market's stated rounding or tie-breaking rules, which vary across contracts. Always read the full resolution criteria before trading any contract near a forecast median. Beyond temperature ladders, the category includes precipitation event markets, severe weather contracts tied to named storms or extreme events, and seasonal aggregate markets asking whether a month's average temperature will exceed a historical benchmark. Seasonal and record-breaking markets carry longer resolution timelines and wider uncertainty ranges, while daily temperature ladders typically resolve within 24 to 48 hours of opening.
Frequently asked questions
- How are weather market outcomes officially resolved, and what data source is used?
- Each weather market on Polymarket specifies its resolution source in the market description, typically an official national meteorological service — such as the Japan Meteorological Agency for Tokyo, or MetService for Wellington — or a named weather data aggregator. The final observed value, for example the maximum temperature recorded at a specific city station on a given calendar day, is checked against the stated threshold and the market resolves YES or NO accordingly. There is no editorial discretion: resolution is mechanical once the official data is published.
- Why are most weather market YES prices so low — often just 1 to 5¢?
- Weather markets are structured as temperature ladders, where a suite of contracts each asks about a single specific degree. If tomorrow's Tokyo high is forecast around 14°C, the probability is spread across a range of perhaps 12–17°C, so no single degree captures more than 25–35% probability, and rungs further from the forecast mean may sit at 5–15%. The category-wide average of 1.3¢ also reflects many out-of-range rungs that carry very low but non-zero probability. These contracts are not cheap in the sense of being mispriced — they represent a narrow slice of the true probability distribution.
- Can I trade weather markets without a background in meteorology?
- Yes — many participants rely primarily on consumer forecast services such as Weather.com, Windy.app, or OpenWeather combined with a basic understanding of probability distribution. The critical skill is not advanced meteorology but probability calibration: understanding that a forecast high of 14°C means 14°C is the most likely outcome, not the certain one, and pricing positions accordingly. Traders who also work with free ensemble forecast data — available from services like NOAA's NOMADS or Windy's model overlay tools — carry an additional edge, but consumer-level forecasting is sufficient to participate thoughtfully.
- What happens if the observed temperature lands exactly on the contract threshold — for example, precisely 15°C when the market asks whether the high will be 15°C or above?
- Resolution rules vary by market. Some contracts define the threshold strictly (strictly above 15°C resolves YES), while others treat the stated value inclusively (15°C or above resolves YES). Rounding conventions also differ: if the official station reports to one decimal place, the market description typically specifies whether values are rounded to the nearest whole degree or truncated. Always read the full resolution criteria before trading — particularly for contracts close to the forecast median, where the probability of landing exactly on a boundary is non-trivial and the resolution rule determines your outcome.
