| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| 69° or below | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 70° to 71° | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 72° to 73° | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 74° to 75° | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 76° to 77° | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 78° or above | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market tracks the official daily high temperature recorded at Dallas-Fort Worth International Airport (DFW) on April 6, 2026. It serves as a data-driven tool for weather enthusiasts and climate observers to forecast localized temperature outcomes.
April in North Texas represents a transition period from late winter to early summer, often characterized by high volatility. Historically, Dallas experiences wide temperature fluctuations during this time due to the frequent collision of cold fronts from the north and warm, humid air masses from the Gulf of Mexico. This specific date is subject to complex meteorological patterns, including potential storm systems or unseasonable heat waves.
Market prices represent the collective expectation of traders regarding the likelihood of the daily high falling into specific numerical ranges. These prices fluctuate as new long-range meteorological forecasts and climate trends emerge.
The market relies on the official data recorded at the Dallas-Fort Worth International Airport (DFW), which serves as the primary observation point for the region.
The official daily high is defined as the maximum temperature recorded during the 24-hour period of April 6, 2026, as reported by the National Weather Service.
The market outcome is determined strictly by the officially recorded temperature, regardless of whether the weather was considered normal, extreme, or affected by severe storms.
No, the market relies on the final, official, and verified data set provided by the National Oceanic and Atmospheric Administration (NOAA) or the National Weather Service.
April in Texas is notoriously difficult to predict long-term because it often marks the shift between winter air patterns and convective spring weather, leading to high variance in day-to-day temperatures.