Lowest temperature in Seattle on Jun 7, 2026?

Prediction market odds on Kalshi reflect real-money trader expectations and often incorporate meteorological forecasts, historical climate data, and seasonal patterns for Seattle in early June. While professional weather analysts publish deterministic forecasts based on atmospheric models, prediction markets aggregate diverse participant views into probabilistic odds. Comparing the market's implied probability to consensus analyst predictions can reveal whether traders are pricing in higher or lower temperatures than traditional forecasters expect, offering insight into market confidence relative to expert opinion.

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 7, 2026 is priced through binary or range-based outcome contracts tied to official weather station data. Traders buy and sell shares reflecting their belief in whether the low will fall within specific temperature bands. The market price directly translates to implied probability, with higher prices indicating greater confidence in that outcome. Liquidity and trading volume on Kalshi determine how easily participants can enter or exit positions, influencing the tightness of spreads around the consensus forecast.

The market resolves on Jun 8, 2026, after the close of trading on June 7, 2026. Resolution is determined by the official lowest temperature recorded in Seattle on that date, sourced from designated weather monitoring stations. Once the final temperature reading is confirmed and published, the outcome is locked in and winning positions are settled. Traders should monitor weather data releases and official station reports as the event date approaches to track real-time conditions and adjust positions accordingly.

Several factors could shift market odds before resolution. Major weather pattern changes—such as the arrival of cold fronts, high-pressure systems, or unusual jet-stream positioning—will influence trader expectations. Long-range climate forecasts and seasonal outlooks from meteorological agencies may prompt repricing. As June 7 approaches, updated short-range forecasts become more reliable and typically drive larger price movements. Additionally, historical temperature anomalies, ocean temperature trends, and any unusual atmospheric events in the weeks leading up to the date could trigger significant trading activity and odds adjustments.