Lowest temperature in Seattle on Jun 16, 2026?

Prediction market odds often diverge from traditional weather analyst forecasts because they incorporate real-time trader behavior, economic incentives, and collective information aggregation. While meteorologists rely on physics-based models and historical data, this market reflects what thousands of participants believe will actually occur, weighted by their financial commitment. Analysts may issue point forecasts or confidence ranges, whereas traders here express their views through continuous price discovery. Over time, prediction markets have proven competitive with or superior to expert forecasts in many domains, though comparing the two approaches reveals how different methodologies and incentive structures produce distinct probability estimates.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares representing different temperature ranges or outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The bid-ask spread reflects the current supply and demand for each outcome, and prices move as new information arrives or trader conviction shifts. Each contract's price directly represents the market's implied probability of that outcome occurring. Liquidity and trading volume determine how easily you can enter or exit positions, and the platform's matching engine executes trades at the best available prices in real time.

This market resolves around Jun 17, 2026, after June 16, 2026 has passed and the lowest temperature recorded in Seattle that day is verifiable from credible public sources. The outcome is determined by the actual meteorological data reported for that date, confirmed through established weather reporting channels. Once the event is observable and documented, the market settles according to which outcome bracket or threshold the verified temperature falls into. Traders' positions are then finalized based on the confirmed result.

Several factors could shift market prices leading up to June 2026. Seasonal climate patterns, El Niño or La Niña conditions, and long-range weather models updated throughout spring will influence trader expectations. Major volcanic eruptions or other atmospheric events could alter temperature forecasts. As June approaches, medium-range weather forecasts become more reliable, typically triggering sharper price movements. Real-time atmospheric data, jet stream positioning, and any unusual weather patterns in the weeks before the event will attract trader attention. News about climate anomalies or regional weather systems could also prompt rapid repricing as new information becomes available.