Lowest temperature in Atlanta on Jun 24, 2026?

Prediction market odds reflect aggregated trader expectations and often diverge from traditional meteorologist forecasts because they incorporate real-time information, market incentives, and diverse participant views. While weather analysts rely on numerical models and historical data, this market prices in trader conviction and adjusts dynamically as new information arrives. Comparing the two can reveal where consensus breaks down—for instance, if traders assign higher odds to an unusually cold day than models suggest, it may signal emerging data or uncertainty the models haven't fully captured. Both perspectives offer value for understanding possible outcomes.

On Kalshi, this market is priced through an order-book mechanism where traders submit buy and sell orders at their chosen odds. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The spread between the highest bid and lowest ask reflects market liquidity and uncertainty around the lowest temperature outcome. As traders place orders, the mid-market price adjusts, and those prices are visible in real time. Your ability to execute trades depends on available liquidity at each price level, so wider spreads indicate less certainty or fewer active participants at that moment.

This market resolves around Jun 25, 2026, once June 24, 2026 has passed and the day's weather data is finalized. The outcome is determined by the verified lowest temperature recorded in Atlanta on that date, confirmed against credible public weather reporting. Your position settles based on whether the actual low falls within the range you predicted. Resolution typically occurs within hours of the market end date as official data becomes available.

Several factors can shift odds in this market. Seasonal weather pattern updates, changes in the jet stream, or El Niño/La Niña forecasts may alter expectations for June conditions in Atlanta. Major climate or atmospheric events—such as shifts in high-pressure systems or unexpected cold fronts—can trigger repricing. Long-range forecast model updates from meteorological agencies often spark trading activity. Additionally, historical temperature records for that date and broader climate trends can influence trader positioning. As June 24, 2026 approaches, short-term forecasts will become more precise and drive final price adjustments.