Lowest temperature in Atlanta on Jun 28, 2026?

Prediction market odds often diverge from traditional meteorological forecasts because they incorporate real-time trader behavior, uncertainty premiums, and longer-term climate signals beyond standard weather models. While meteorologists typically issue forecasts days or weeks ahead using physics-based simulations, this market aggregates the beliefs of many participants over months, potentially capturing seasonal anomalies and broader atmospheric patterns. Comparing the two reveals whether traders are pricing in more or less volatility than official forecasters expect, offering insight into market confidence relative to expert consensus.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks on outcome shares, with the midpoint reflecting the current implied probability. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome—such as temperature ranges or specific thresholds—trades independently, and prices update in real time as new orders execute. The spread between buy and sell prices tightens as liquidity increases, allowing you to enter or exit positions with minimal slippage during active trading windows.

This market resolves around Jun 29, 2026, once June 28, 2026 has passed and the lowest temperature recorded in Atlanta that day is verifiable from credible public sources. The outcome is determined by the actual minimum temperature reading, typically from the National Weather Service or equivalent authoritative meteorological records. Once the event occurs and data is confirmed, the market settles based on which outcome bracket or threshold the final temperature falls into.

Major climate patterns—including El Niño or La Niña cycles, polar vortex disruptions, and seasonal warming trends—can shift long-term temperature expectations and move odds significantly. Shorter-term catalysts include updated seasonal forecasts from NOAA, unexpected heat waves or cold snaps in the preceding weeks, and shifts in atmospheric circulation. As June 2026 approaches, daily weather model updates and real-time atmospheric data will increasingly influence trader positioning, with the final week likely seeing the most volatile repricing as the actual forecast window narrows.