Highest temperature in San Francisco on Jul 4, 2026?

Prediction market odds often diverge from traditional weather forecasts and analyst models because they incorporate real-money incentives and crowd wisdom. While meteorologists rely on atmospheric data and historical patterns, traders in this market synthesize that same information alongside their own expectations and risk appetite. Markets tend to update faster than seasonal forecasts as new data emerges, and they can reflect tail-risk scenarios that analysts downweight. Comparing the implied probabilities here to official climate outlooks and expert predictions offers insight into how market participants weigh competing scenarios for Bay Area temperatures on that date.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and offers for shares tied to specific temperature outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome contract trades independently, and the price of a share reflects the market's implied probability of that temperature range occurring. Traders profit by correctly predicting which range will verify, and prices adjust in real time as new orders flow in and participants update their views based on weather developments and forecasting updates.

This market resolves around Jul 5, 2026, after July 4, 2026 concludes. The outcome is determined by the highest temperature recorded in San Francisco on that day, verified against credible public sources. Once the event occurs and the final temperature is confirmed, the market settles to the outcome range that encompasses the verified high. Traders holding shares in the correct outcome receive their payout, while incorrect positions expire worthless.

Several factors could shift odds in this market over the coming months. Updated seasonal climate forecasts and El Niño or La Niña patterns may influence expectations for summer heat in California. Major weather events or heat waves in the region could prompt traders to reassess tail risks. As July 2026 approaches, extended forecasts from meteorological agencies will become more precise, likely triggering repricing. Real-time weather data in early July will drive final adjustments as traders react to actual atmospheric conditions in the days immediately before and after Independence Day.