Lowest temperature in Atlanta on Jun 11, 2026?

Prediction market odds on Kalshi reflect real-money trader expectations and often incorporate meteorological forecasts, historical climate data, and seasonal patterns. Unlike traditional weather analyst forecasts, which rely on deterministic models, prediction markets aggregate dispersed information through price discovery. Comparing Kalshi odds to National Weather Service or private meteorology firm predictions can reveal whether traders are pricing in more optimistic or pessimistic temperature scenarios. Market-based probabilities tend to update faster as new weather data emerges closer to June 11, 2026.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the lowest temperature in Atlanta on June 11, 2026 is priced through binary or range-based outcome contracts, where traders buy and sell shares corresponding to specific temperature thresholds. Each contract reflects the market's collective belief about the probability of that outcome occurring. Prices range from near zero to near one hundred, with higher prices indicating stronger trader conviction. Liquidity and trading volume on Kalshi determine how quickly prices adjust to new weather information and how tight the bid-ask spreads remain as the resolution date approaches.

The market resolves on Jun 12, 2026, after the lowest temperature for June 11, 2026 in Atlanta has been recorded and verified. The outcome is determined by official temperature data from a designated weather source, typically the National Weather Service or a comparable meteorological authority. Once the minimum temperature is confirmed, the contract settles to reflect which outcome bracket or range the actual low temperature fell into. Traders holding shares in the correct outcome receive their payout, while incorrect positions expire worthless.

Several factors could shift market odds for Atlanta's June 11 low temperature. Major weather pattern changes, such as the development of high-pressure systems or cold fronts, would alter trader expectations significantly. Long-range climate forecasts and seasonal outlooks released by NOAA or other agencies may influence positioning. Historical temperature records for that date and time of year serve as anchors for pricing. Additionally, broader atmospheric circulation patterns, El Niño or La Niña conditions, and any unusual heat or cold events in the weeks leading up to June 11 could prompt traders to adjust their probability estimates.