| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| 64° or below | 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° to 72° | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| 73° or above | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which temperature range will be the highest observed in Atlanta on March 29, 2026. It matters for local stakeholders (energy, outdoor events, agriculture) and for traders who use weather outcomes to hedge or speculate.
Late March is a transitional month in Atlanta when both warm-advection events and cooler frontal intrusions are possible, so day-to-day variability can be large. This market is listed on KALSHI, currently shows six discrete outcomes, and the official close and settlement details are set by the platform's event rules.
Market odds reflect traders' consensus about which temperature outcome is most likely, and they will move as forecast models and observations change; interpret odds as real-time market beliefs rather than fixed probabilities.
The event settles to a specific official observing source and measurement method defined in the market's settlement rules; check the event page for which station (e.g., a designated ASOS/NOAA site), the time zone, and whether a 1‑minute, hourly, or daily maximum is used.
The event page lists the market close and settlement timeline; if close is TBD, the platform will post a closing time prior to the event window and settlement occurs after the official daily observation for March 29 is published per the platform's rules.
Watch short-range deterministic runs (e.g., high-resolution models), ensemble forecasts for uncertainty, National Weather Service products, and real-time observations; convergence of models and consistent trends in observational data typically increase confidence.
Late March is climatologically a transition period with both mild and occasionally extreme conditions possible; to judge unusualness, compare the observed or forecasted value to historical daily records and long‑term climate normals from official sources.
Yes—instrument siting, recent maintenance, urban heat island effects, and the specific station used for settlement can affect recorded maxima; the market's rules specify the official data source to avoid ambiguity.