Highest temperature in Washington DC on Jun 12, 2026?

Prediction market odds reflect real-money bets from traders who profit or lose based on accuracy, creating strong incentives for honest price discovery. Analyst forecasts, by contrast, rely on meteorological models and expert judgment but lack direct financial accountability. This market aggregates dispersed information from many participants, often capturing nuances that traditional forecasts may miss. Comparing the two reveals whether traders are pricing in different assumptions about atmospheric conditions, seasonal patterns, or model uncertainty than official weather services.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell shares corresponding to different temperature ranges. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Prices move based on supply and demand; as more traders bet on higher temperatures, those outcome prices rise, and vice versa. Each outcome has its own bid-ask spread, and the current mid-price reflects the marginal trader's view of that temperature bracket's likelihood. Settlement values are binary per outcome, so traders either win or lose their stake depending on where the actual high temperature falls.

This market resolves around Jun 13, 2026, once June 12, 2026 has passed and the day's weather data is finalized. The outcome is determined by the verified highest temperature recorded in Washington DC on that date, confirmed against credible public sources. Traders' positions settle based on which temperature bracket or range the actual high falls into, with payouts distributed accordingly. Resolution typically occurs within hours of the close of the trading day.

Major weather pattern shifts, seasonal climate anomalies, and updated meteorological forecasts can all shift trader expectations and move prices. Tropical systems, heat domes, or cold fronts approaching the region weeks or days before June 12 would likely trigger significant repricing. Long-range climate indices and historical temperature records for that date also inform positioning. As the event date approaches, real-time weather updates and model consensus changes typically drive the most volatile price movements, with traders adjusting positions based on the latest atmospheric data.