Highest temperature in Washington DC on Jun 22, 2026?

Prediction market odds reflect real-time consensus from active traders betting capital on outcomes, whereas traditional analyst forecasts rely on historical climate models and seasonal patterns. This market aggregates distributed knowledge from participants with direct financial incentives to forecast accurately, often capturing late-breaking weather signals faster than static seasonal reports. Comparing this market's implied probabilities to published meteorological forecasts for June 2026 can reveal where traders expect conditions to diverge from historical norms or where consensus remains stable.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell shares corresponding to specific temperature ranges for June 22, 2026. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Share prices reflect the probability traders assign to each outcome bracket, with tighter spreads indicating higher confidence and wider spreads suggesting uncertainty. Liquidity concentrates around the most likely temperature bands, and prices adjust continuously as new information arrives and trading volume shifts between outcomes.

This market resolves around Jun 23, 2026, once the highest temperature recorded in Washington DC on June 22, 2026 becomes verifiable from credible public sources. The outcome is determined by the actual peak temperature reading from that day, confirmed through official meteorological records. Traders holding shares in the correct outcome bracket receive their payout once the event is finalized and the market settles.

Major weather pattern shifts, updated seasonal forecasts, and climate anomalies in the months leading up to June 2026 could significantly move this market. El Niño or La Niña developments, persistent heat waves across the eastern United States, or unusual jet-stream positioning would all influence trader expectations. Additionally, any revision to historical temperature records or changes in how peak daily temperatures are measured in Washington DC could trigger repricing. Real-time weather alerts and extended forecasts released closer to the event date will likely drive the most volatile price swings.