| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| 55° or below | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 56° to 57° | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 58° to 59° | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 60° to 61° | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 62° to 63° | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 64° or above | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market predicts the daily maximum temperature in Seattle, Washington, recorded on April 21, 2026. These data points provide a granular look at regional climate patterns and the influence of seasonal weather transitions in the Pacific Northwest.
April in Seattle is characterized by the region's transition from cool, rainy spring weather to milder, late-spring conditions. While historical averages provide a baseline, Pacific Northwest weather is often volatile, influenced by shifting jet streams and the occasional 'La Niña' or 'El Niño' climate pattern. Tracking this specific day helps illustrate the variance between historical climate averages and real-time meteorological outcomes.
Market prices represent the collective expectation of weather outcomes based on current meteorological models and long-term climate trends. Participants weigh historical temperature ranges against emerging seasonal forecasts to determine the likelihood of specific heat brackets.
The official result is typically derived from the official National Weather Service (NWS) recording station for Seattle, often located at Seattle-Tacoma International Airport (KSEA).
The market resolves based on the official maximum temperature reported by the designated primary meteorological authority, regardless of whether that temperature is considered an anomaly.
In meteorological terms, the highest temperature refers to the daily maximum temperature recorded between midnight and midnight on the specified date.
April is a shoulder month for Seattle; while days are generally warming, the lack of a stable high-pressure system can lead to significant temperature swings depending on cloud cover and prevailing winds.
Long-term climate trends are often priced into these markets as participants analyze whether record-high or record-low temperatures are becoming more frequent in the region during the spring months.