Highest temperature in Seattle on Jul 3, 2026?

Prediction market odds and traditional analyst forecasts often diverge because they reflect different methodologies. Markets aggregate real-time trader behavior and financial incentives, while meteorologists rely on physics-based models and historical climate data. This market incorporates both sentiment and expert input, but the odds can shift rapidly based on new weather data, seasonal patterns, or breaking climate news. Comparing this market's pricing to published forecasts from the National Weather Service or regional meteorologists can reveal where traders see opportunities or risks that conventional analysis may have underweighted.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell 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 share represents a claim on a specific temperature range or threshold, and the market price reflects the collective probability assigned by active traders. As new information emerges—such as updated climate forecasts or seasonal anomalies—traders adjust their positions, moving prices up or down. The spread between bid and ask prices narrows or widens based on liquidity and conviction, giving you real-time insight into market confidence around the final temperature.

This market resolves around Jul 4, 2026, once the highest temperature recorded in Seattle on July 3, 2026 is verified and confirmed. The outcome is determined by the actual observed maximum temperature on that date, checked against credible public sources. Traders holding positions aligned with the final temperature outcome receive their payouts, while misaligned positions expire worthless. The resolution process is automated once the data becomes available, ensuring a fair and transparent settlement for all participants.

Several factors could shift this market significantly before resolution. Long-range climate forecasts and seasonal outlooks from meteorological agencies often trigger repricing as traders adjust for El Niño, La Niña, or other atmospheric patterns. Heat waves or unusual cold snaps in the Pacific Northwest during spring and early summer can signal shifting expectations. Major weather model updates, volcanic activity affecting atmospheric conditions, or unexpected urban heat island effects in Seattle could also influence odds. Real-time forecast updates in the days immediately before July 3 typically drive the most volatile price movements as traders lock in final positions.