Kalshi Climate and Weather markets in numbers
In the public Becker Kalshi dataset (markets created Jun 2021 to Nov 2025), Kalshi's Climate and Weather category had 48,981 markets across 140 series, with 284.2M contracts traded; 30.1% of markets never traded and 15.2% of settled markets resolved YES.
Historical snapshot · source: Becker Kalshi dataset and Kalshi public API · page updated · these numbers as JSON
Markets on weather outcomes such as the daily high temperature in major US cities, rainfall, snow and hurricanes. Daily temperature series run every day, each with a set of temperature brackets.
Key numbers
| Measure | Value |
|---|---|
| Series | 140 |
| Markets | 48,981 |
| Events | 11,754 |
| Contracts traded | 284,181,004 |
| Markets never traded | 14,721 (30.1%) |
| Settled markets (yes or no) | 48,354 |
| Resolved YES | 7,361 (15.2% of settled) |
| Resolved NO | 40,993 (84.8% of settled) |
| First market created | Jul 2, 2021 |
| Last market created | Nov 23, 2025 |
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By year the market was created
| Year | Markets | Contracts traded | Never traded | Settled |
|---|---|---|---|---|
| 2021 | 647 | 2,675,973 | 1.4% | 647 |
| 2022 | 3,110 | 9,100,801 | 1.3% | 3,110 |
| 2023 | 7,680 | 6,936,027 | 19.8% | 7,673 |
| 2024 | 13,459 | 93,003,563 | 30.0% | 13,407 |
| 2025 | 24,085 | 172,464,640 | 37.9% | 23,517 |
Highest-volume series in Climate and Weather
| Series | Kalshi title | Markets | Contracts traded | Never traded |
|---|---|---|---|---|
| KXHIGHNY | Highest temperature in NYC | 2,382 | 52,070,182 | 1.3% |
| KXHIGHAUS | Highest temperature in Austin | 2,382 | 39,199,934 | 1.0% |
| KXHIGHCHI | Highest temperature in Chicago | 2,382 | 39,062,421 | 1.1% |
| KXHIGHMIA | Highest temperature in Miami | 2,382 | 29,747,775 | 4.4% |
| KXHIGHLAX | Highest temperature in Los Angeles | 1,944 | 27,033,427 | 2.9% |
| KXHIGHDEN | Highest temperature in Denver | 2,220 | 26,219,521 | 0.9% |
| KXHIGHPHIL | Highest temperature in Philadelphia | 2,220 | 17,290,446 | 2.4% |
| HIGHNY | Highest temperature in NYC | 5,416 | 9,649,347 | 9.6% |
| HIGHCHI | Highest temperature in Chicago | 5,413 | 9,606,857 | 9.0% |
| KXHIGHHOU | Highest temperature in Houston | 420 | 6,416,018 | 5.0% |
Compare categories: volume by year · share never traded · YES share by category
Why YES shares are often low or near half: ladders and brackets list many mutually exclusive outcomes per event and only one resolves YES, while game markets come in pairs with one winner. The share reflects how markets are structured, not a forecast or a trading rule.
Build with this data
- Weather temperature market bot
- PolyWeather weather-quant bot
- Prediction market analysis framework and dataset
- Kalshi new-market scanner with Telegram alerts
- Kalshi MCP server
Odds to probability calculator · State of Kalshi · All Kalshi data pages · Kalshi bot guide
Method
- Series = the text before the first hyphen of
event_ticker(same rule as State of Kalshi). - Category = the label Kalshi's public API gives that series today (fetched Oct 17, 2026), applied to every market in the series, including older markets. Labels may differ from what Kalshi showed when a market was listed.
- Contracts = the sum of the
volumefield in the markets files. It counts contracts, not dollars. - Never traded = markets with
volumeof zero. Settled = markets whoseresultis yes or no. - Counts only. No prices are used, and nothing here is a forecast, a trading rule or financial advice.
Source
Market data: Becker Kalshi dataset (Jon Becker, prediction-market-analysis), data dump downloaded Jul 30, 2026, covering markets created Jun 30, 2021 to Nov 23, 2025. Category labels: Kalshi public API (GET /trade-api/v2/series). Computed with DuckDB over all markets files. This is a historical snapshot, not live data. Dataset snapshot date: Oct 17, 2026.