| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| 75° or below | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 76° to 77° | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 78° to 79° | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 80° to 81° | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 82° to 83° | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 84° or above | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market tracks the official daily high temperature recorded at Denver International Airport on March 30, 2026. Weather-based prediction markets allow participants to hedge against climatic variability or speculate on specific meteorological outcomes.
Denver’s weather in late March is famously volatile, sitting at the transition between winter and spring. Historically, temperatures for this date can range from freezing cold to unseasonably warm, depending on the movement of cold fronts from the Rockies and air masses from the plains. These outcomes rely exclusively on official data reported by the National Weather Service.
Market prices reflect the collective anticipation of how likely specific temperature brackets are to occur based on historical climate normals and long-range meteorological modeling.
The official daily high temperature is determined by the National Weather Service recorded at the Denver International Airport (DIA) weather station.
Yes, Denver's high elevation and proximity to the Rocky Mountains contribute to rapid temperature swings, often leading to significant deviations from the historical average.
In the event of official data unavailability or station failure, the market typically reverts to the primary secondary official climate data provider or the exchange’s specified contingency rules.
Predicting specific high temperatures months in advance is difficult because late March is a peak season for atmospheric instability, where small shifts in weather patterns can lead to drastic temperature differences.
Long-term warming trends in the Denver area have historically shifted the mean toward higher average highs, though daily variance remains the dominant factor for any single date.