Lowest temperature in Seattle on Jul 3, 2026?

Prediction market odds often diverge from traditional weather forecasts because they incorporate real-time trader sentiment and broader uncertainty. While meteorologists issue deterministic temperature predictions based on atmospheric models, this market reflects probabilistic views across many participants with varying risk tolerances and information. Comparing the implied odds here to seasonal climate outlooks from NOAA or other agencies can reveal whether traders are pricing in more or less extreme outcomes than official forecasters expect, offering a complementary perspective on July weather risk.

On Kalshi, this market is priced through an order-book mechanism where traders submit bids and asks for outcome shares. 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 balance of buy and sell orders, with the spread between bid and ask tightening as liquidity increases. Traders profit by correctly predicting whether the lowest temperature will fall into their chosen range, and prices adjust continuously as new information and trading activity flow in.

This market resolves around Jul 4, 2026, after July 3, 2026 has passed and the lowest temperature for that day in Seattle can be verified. The outcome is confirmed once credible public weather data becomes available, typically from official meteorological records or established weather stations serving the Seattle area. Traders holding shares in the correct outcome receive their payout once the final temperature is recorded and the market settles.

Major weather pattern shifts, seasonal climate forecasts, and atmospheric anomalies will likely drive price movement in this market. El Niño or La Niña conditions, jet stream positioning, and heat dome formation across the Pacific Northwest are key catalysts. Additionally, real-time weather updates closer to July 2026, historical temperature comparisons, and any unusual climate events in the months leading up to the date could prompt traders to adjust their positions, causing odds to fluctuate significantly.