Highest temperature in San Francisco on Jul 3, 2026?

Prediction market odds reflect real-money incentives for accuracy, often diverging from traditional weather forecasts and analyst models. While meteorologists rely on physics-based simulations and historical data, traders in this market incorporate broader information—including climate patterns, seasonal anomalies, and long-range models—into their pricing. Markets tend to aggregate dispersed knowledge efficiently, but they can also overshoot or undershoot consensus if liquidity is thin or if certain outcomes attract speculative interest. Comparing this market's implied probabilities to published forecasts from the National Weather Service or climate analysts can reveal where traders see edge.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell shares corresponding to temperature ranges. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome bracket has its own bid-ask spread, and the midpoint of the tightest spread reflects the market's current consensus probability for that temperature range. Prices move as new orders flow in, with larger trades potentially moving the spread wider. Traders can enter limit or market orders, and the platform matches buyers and sellers in real time, creating continuous price discovery throughout the market's lifespan.

This market resolves around Jul 4, 2026, after July 3, 2026 has concluded. The outcome is determined by the highest temperature recorded in San Francisco on that date, verified against credible public sources. Once the event is verifiable from official reporting, the market settles to the outcome bracket that matches the recorded high temperature. Traders holding shares in the correct bracket receive their payout, while incorrect positions expire worthless.

Major weather pattern shifts, updated seasonal forecasts, and long-range climate models will drive significant repricing. El Niño or La Niña transitions, atmospheric blocking patterns, and heat dome formation in the western United States are key catalysts. Historical heat records for San Francisco in early July, combined with real-time atmospheric conditions in late June 2026, will sharpen trader expectations. Media coverage of extreme heat events elsewhere in California or the broader West may also influence risk appetite. As July 3 approaches, short-range forecasts become more reliable, typically causing volatility to spike and spreads to tighten.