Lowest temperature in Atlanta on Jun 3, 2026?

Prediction market odds on Kalshi reflect real-money trader expectations and often incorporate meteorological forecasts from the National Weather Service and private weather services. While traditional weather forecasts provide deterministic temperature ranges, prediction markets aggregate trader beliefs into probabilistic odds. Comparing the market's implied probability for specific temperature bands against published seasonal climate models and historical June temperature data for Atlanta can reveal whether traders are pricing in above-average or below-average conditions relative to expert consensus.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the lowest temperature for Atlanta on June 3, 2026 is priced as a set of binary or range-based outcome contracts, each representing a specific temperature threshold or band. Traders buy or sell shares reflecting their belief about whether the actual low will fall within that range. Prices move between 0 and 100 cents based on supply and demand, with higher prices indicating stronger market confidence in that outcome. As new weather data and forecasts emerge, prices adjust to reflect updated trader expectations.

The market resolves on Jun 4, 2026, after the close of trading and once the official low temperature for Atlanta on June 3, 2026 is recorded. The outcome is determined by verified meteorological data, typically sourced from the National Weather Service or an official weather station serving the Atlanta area. The specific temperature reading establishes which outcome contract or contracts are correct, and traders holding winning positions receive their payouts accordingly.

Major weather pattern shifts, including changes to jet stream positioning, tropical systems, or high-pressure systems, can significantly alter Atlanta's expected low temperature. Updated seasonal climate outlooks from NOAA, shifts in El Niño or La Niña conditions, and real-time forecast model runs released in the days before June 3 will all influence trader positioning. Additionally, historical analogues to past June weather in Atlanta and any unusual atmospheric conditions reported closer to the event date may trigger repricing as new information becomes available.