Highest temperature in Seattle on Jun 29, 2026?

Prediction market odds and traditional analyst forecasts often diverge because they operate on different timescales and incentive structures. Meteorologists typically issue forecasts days or weeks in advance with explicit confidence intervals, while market prices reflect real-time aggregation of trader beliefs and adjust as new data arrives. This market allows you to compare the crowd's probabilistic view against published weather models and expert commentary, revealing where consensus is strong or where outlier scenarios command meaningful odds. Over time, markets tend to incorporate expert input while also pricing in tail risks that traditional forecasts may downweight.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares corresponding to different temperature outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome has its own contract, and the price of each reflects the probability the market assigns to that temperature range occurring. As traders buy or sell, prices move to clear supply and demand, with the sum of all outcome probabilities converging toward 100 percent. This mechanism ensures that market prices remain responsive to new information and trader conviction throughout the life of the contract.

This market resolves around Jun 30, 2026, after June 29, 2026 has passed and the highest temperature recorded in Seattle that day is confirmed. The outcome is determined by verified data from credible public sources documenting the actual high temperature. Once the event is observable and reported, the market settles to the outcome bucket that matches the verified temperature, and traders' positions are paid out according to their holdings. Resolution typically occurs within hours or a day of the event, once official records are available and confirmed.

Several factors can shift odds in this market before resolution. Seasonal weather pattern updates, changes to long-range climate forecasts, and shifts in atmospheric conditions over the Pacific Northwest will influence trader positioning. Major weather events—such as heat domes, cold fronts, or unusual pressure systems—can trigger sharp repricing. Additionally, historical temperature records and anomalies for late June in Seattle may prompt traders to reassess tail-risk scenarios. As the event date approaches, short-range meteorological models become more reliable, typically narrowing the range of plausible outcomes and concentrating trading activity around the most probable temperature bands.