Lowest temperature in Seattle on Jun 30, 2026?

Prediction market odds often diverge from traditional weather forecasts and analyst estimates because they incorporate real-time trader conviction and incentivize accuracy through financial stakes. While meteorologists rely on atmospheric models and historical data, this market aggregates the distributed knowledge of traders betting on the outcome. Comparing the odds here to published seasonal forecasts or climate models can reveal where the market is pricing in tail risks or consensus blind spots. Over time, prediction markets have demonstrated competitive accuracy against expert predictions, particularly when liquidity is robust and traders have strong incentives to get it right.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares corresponding to different temperature ranges or outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome reflects the collective willingness of buyers and sellers to transact at that level, with tighter spreads indicating higher confidence and liquidity. As new information emerges or traders adjust their views, prices adjust in real time. This dynamic pricing model ensures that the market continuously reflects current expectations about Seattle's lowest temperature on the specified date.

This market resolves around Jul 1, 2026, after June 30, 2026 has passed and the actual lowest temperature can be verified. The outcome is determined by comparing trader predictions against the recorded temperature data from credible public sources. Once the event is verifiable and confirmed, the market settles and winning positions are paid out according to their accuracy. Traders should monitor official weather records and reporting in the days following the event to understand how their positions will be adjudicated.

Several factors could shift odds in this market: updated seasonal climate forecasts, El Niño or La Niña patterns affecting Pacific Northwest weather, volcanic activity or aerosol events impacting solar radiation, and real-time weather model updates as June 2026 approaches. Major atmospheric circulation changes, such as shifts in the jet stream or persistent high-pressure systems, would influence trader expectations. Additionally, as the event date draws closer, increasingly precise short-range forecasts will likely tighten the market and reduce uncertainty. Traders should track both long-term climate outlooks and near-term meteorological developments to stay ahead of price movements.