Highest temperature in San Francisco on Jul 6, 2026?

Prediction market odds reflect the collective judgment of traders betting real money on outcomes, whereas analyst forecasts typically come from meteorologists and climate models using historical data and atmospheric science. This market aggregates dispersed information from many participants, often revealing nuances that single-point forecasts may miss. Comparing the implied probabilities here to published weather forecasts from the National Weather Service or other meteorological agencies can highlight where traders see different risk than official predictions. Such divergences often signal either market inefficiency or emerging data that analysts have not yet fully incorporated.

On Kalshi, this market is priced through an automated market maker that converts trader bets into real-time odds for each temperature outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy and sell shares corresponding to different temperature ranges, and the platform's pricing algorithm adjusts odds based on order flow and liquidity. As more capital flows into higher or lower temperature outcomes, the odds shift to reflect the new balance of supply and demand. This continuous repricing mechanism ensures the market remains responsive to new information and trader conviction.

This market resolves around Jul 7, 2026, once the highest temperature recorded in San Francisco on July 6, 2026 is verified and confirmed. The outcome is determined by comparing actual temperature readings against the outcome brackets offered in the market. Once the event occurs and credible public reporting confirms the final temperature, the market settles and winnings are distributed to holders of the correct outcome. Traders should monitor official weather station data and local reporting as the date approaches.

Major weather pattern shifts, seasonal climate anomalies, and updated long-range forecasts from meteorological agencies can all move this market significantly. El Niño or La Niña conditions, changes in Pacific Ocean temperatures, and atmospheric blocking patterns will influence trader expectations. As July 2026 approaches, shorter-range forecasts become more reliable and precise, typically causing sharper price movements. Additionally, any unusual heat waves or cold snaps in the months leading up to the event may shift market sentiment about Bay Area summer temperatures. Real-time weather alerts and updated National Weather Service outlooks will be key catalysts for trading activity.