| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| 43° or below | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 44° to 45° | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 46° to 47° | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 48° to 49° | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 50° to 51° | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 52° or above | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market tracks the official daily minimum temperature recorded in Seattle, Washington, on April 21, 2026. These data points provide a granular look at regional climate patterns and seasonal variability in the Pacific Northwest.
April in Seattle is characterized by the transition from late winter to spring, often resulting in highly variable temperatures as weather systems move in from the Pacific Ocean. Historical meteorological records for late April typically show a range of lows in the mid-to-high 40s Fahrenheit, though anomalies can occur due to shifts in polar or tropical air mass influence. Understanding these fluctuations is crucial for industries ranging from local agriculture to energy demand forecasting.
Market prices reflect the collective anticipation of weather model consensus, with higher concentrations of capital indicating where traders expect the official recorded low to settle.
The official lowest temperature is typically determined by data from the National Weather Service (NWS) observation station at Seattle-Tacoma International Airport.
No, prediction markets for this event rely on the standardized, official reporting station used by federal meteorological authorities, not private or neighborhood weather sensors.
April weather in Seattle is notoriously transitional, meaning rapid shifts between high-pressure sunny days and cold-front-driven nights can significantly impact the daily low.
In the event of an official instrument outage, standard market resolution procedures usually default to secondary official NWS reports or the nearest calibrated proxy station as defined by the market rules.
Tracking specific calendar dates allows for precision in long-range forecasting analysis and serves as a benchmark for comparing seasonal climate trends year-over-year.