Lowest temperature in Seattle on Jul 8, 2026?

Prediction market odds reflect real-money trading by participants who profit or lose based on accuracy, creating a financial incentive to price outcomes correctly. Analyst forecasts, by contrast, rely on meteorological models and historical data but lack direct financial stakes. This market often converges with professional weather forecasts as the event date nears, though early-stage pricing can diverge significantly. Comparing the two reveals whether traders are pricing in tail risks or unusual patterns that traditional forecasters may underweight or overlook.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for each temperature outcome range. 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 midpoint of the spread reflects the current market consensus. Prices move as new information arrives—such as updated seasonal forecasts or atmospheric patterns—and as traders adjust their positions. Liquidity and trading volume determine how quickly prices respond to new signals.

This market resolves around Jul 9, 2026, once the lowest temperature recorded in Seattle on July 8, 2026 is verified and finalized. The outcome is confirmed against credible public sources that document the actual low temperature for that date. Traders holding positions aligned with the verified result receive their payout, while those on the losing side forfeit their stake. Resolution typically occurs within hours of the market end time, once official data is available and processed.

Major weather pattern shifts, seasonal climate anomalies, and updated long-range forecasts can significantly move prices in this market. El Niño or La Niña conditions, unusual jet stream positioning, and historical temperature records for early July in Seattle all influence trader expectations. As summer 2026 approaches, near-term meteorological models become more reliable and often trigger repricing. Breaking news about climate events or atmospheric disruptions anywhere in the Pacific Northwest may also shift sentiment, as traders adjust their bets based on evolving conditions.