| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| 62° or below | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 63° to 64° | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 65° to 66° | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 67° to 68° | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 69° to 70° | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 71° or above | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market tracks the official daily high temperature recorded at Denver International Airport on April 6, 2026. It serves as a financial instrument for hedging against weather-related risks or speculating on early spring climate patterns in the Front Range.
Denver’s weather in early April is historically volatile, characterized by rapid transitions between late-winter cold snaps and early-spring warming trends. Because the city is located at a high elevation and near the Rocky Mountains, localized atmospheric pressure systems frequently cause significant temperature fluctuations, making this date a challenging period for meteorological forecasting.
The market prices reflect the collective expectation of weather models and historical climate data, where higher prices indicate a higher market consensus for a specific temperature range.
The official daily high temperature is determined by the National Weather Service (NWS) recordings at Denver International Airport (DIA).
Denver's high elevation often leads to intense solar heating during the day, which can result in significant temperature spikes even if ambient air masses remain relatively cool.
Extreme weather events like spring snowstorms are common in Denver during April and would be reflected in the official NWS high temperature recorded for that day.
The market tracks the daily maximum temperature recorded at any point during the 24-hour calendar day of April 6, 2026, based on local time in Denver.
While climate models provide long-term seasonal trends, high-confidence temperature predictions typically emerge only 7 to 10 days before the event as specific pressure systems become visible in numerical weather models.