| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| 54° or below | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 55° to 56° | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 57° to 58° | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 59° to 60° | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 61° to 62° | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 63° or above | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market tracks the official daily minimum temperature recorded in New Orleans, Louisiana, on April 21, 2026. It serves as a financial instrument for hedging against or speculating on late-spring weather volatility in the Gulf Coast region.
April in New Orleans typically marks the transition from spring to the onset of early summer, characterized by warming trends but occasionally subject to lingering cold fronts. Historical weather data for this period shows a range of outcomes driven by atmospheric pressure systems moving across the Southern United States. Meteorologists utilize historical averages from the National Weather Service to establish climate normals, though extreme deviations can occur due to shifting jet stream patterns.
The market prices reflect the collective anticipation of regional climate conditions, with higher concentrations of volume indicating where traders believe the daily minimum will likely settle.
The official daily minimum temperature recorded by the National Weather Service (NWS) station at the Louis Armstrong New Orleans International Airport.
In the event of an official outage, the market will rely on secondary verified data from the National Oceanic and Atmospheric Administration (NOAA) or designated fallback weather reporting services.
The lowest temperature refers specifically to the daily minimum, which typically occurs in the early morning hours before sunrise, rather than a 24-hour mean.
No, this market tracks the actual air temperature, not the 'feels like' temperature which incorporates wind chill or humidity indices.
Historical climate records from the NWS archives provide the base data for previous years, which traders use to analyze the distribution of potential outcomes.