Lowest temperature in Seattle on Jul 6, 2026?

Prediction market odds often diverge from traditional weather forecasts because they incorporate real-time trader behavior, risk appetite, and forward-looking sentiment rather than relying solely on meteorological models. While professional meteorologists publish deterministic forecasts based on atmospheric data, this market aggregates the distributed knowledge of many participants who may weight seasonal patterns, climate trends, and historical volatility differently. Comparing the two reveals whether traders are pricing in more or less extreme outcomes than conventional forecasters expect for that specific date.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares tied to specific temperature ranges. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The platform matches buyers and sellers in real time, and the clearing price at any moment reflects the marginal trader's willingness to bet on a given outcome. Shares are binary—you either win the full payout if your range occurs, or zero if it does not, creating transparent incentives for accurate pricing.

This market resolves around Jul 7, 2026, once the lowest temperature recorded in Seattle on July 6, 2026 is confirmed and verifiable from credible public sources. The outcome is determined by the actual meteorological reading for that calendar day, compared against the outcome ranges defined in the market. Traders holding shares in the correct temperature band receive their payout, while all other positions expire worthless.

Major climate patterns, seasonal forecasts, and long-range weather models published by NOAA or other meteorological agencies can shift trader expectations and move odds significantly. El Niño or La Niña conditions, unusual jet-stream behavior, or anomalous heat or cold events in the months leading up to July 2026 may prompt repricing. Additionally, as the event date approaches and shorter-term forecasts become available, traders typically adjust positions based on updated atmospheric data, causing volatility in this market's price.