Lowest temperature in Seattle on Jun 4, 2026?

Prediction market odds on Kalshi reflect aggregated trader expectations and can be compared against seasonal climate models and National Weather Service forecasts for Seattle in early June. Historically, prediction markets incorporate meteorological data, long-range climate patterns, and real-time atmospheric conditions faster than static analyst reports. Comparing market-implied probabilities to published forecasts helps identify whether traders are pricing in tail risks or consensus scenarios. Both sources offer value: markets capture dynamic sentiment, while analyst forecasts provide peer-reviewed baseline expectations.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the lowest temperature in Seattle on June 4, 2026, is priced as a set of discrete outcome brackets, each with its own contract. Traders buy or sell shares corresponding to their belief about which temperature range will occur. The price of each contract reflects the market's collective probability estimate for that outcome. As new weather data, seasonal patterns, and forecasts emerge, prices adjust continuously. Kalshi's order book and trading activity determine real-time odds for each temperature bracket through standard market-making mechanisms.

The market resolves on Jun 5, 2026. Resolution is determined by the official lowest temperature recorded in Seattle on June 4, 2026, according to the designated reference source. Once the event date passes and the temperature data is finalized, the outcome bracket containing the actual low temperature is marked correct, and all contracts are settled accordingly. Traders holding shares in the winning outcome receive their payout, while losing positions expire worthless. The resolution process is automated once official data becomes available.

Several factors can shift market odds for Seattle's June 4 low temperature. Updated long-range weather forecasts and seasonal climate outlooks will influence trader positioning as the date approaches. Anomalous atmospheric patterns, such as early heat waves or unexpected cold fronts, can reprrice expectations. Historical temperature records and climate trends for early June in Seattle provide baseline anchors. Real-time weather model updates in the weeks and days before June 4 will drive the most significant price moves. El Niño or La Niña conditions and broader Pacific weather systems also shape regional temperature expectations.