Highest temperature in San Francisco on Jun 27, 2026?

Prediction market odds often diverge from traditional meteorological forecasts because they incorporate real-time trader behavior, risk appetite, and broader information beyond raw weather models. While meteorologists publish deterministic temperature ranges based on atmospheric science, this market reflects what participants are willing to stake on actual outcomes. Comparing the two reveals whether traders are pricing in more uncertainty, seasonal volatility, or confidence than official forecasts suggest, making the market a useful barometer of collective conviction about June weather patterns in the Bay Area.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell shares corresponding to temperature outcome ranges. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome contract reflects the probability traders assign to that temperature band, with prices ranging from near-zero to near-100 cents per share. As new information arrives—seasonal forecasts, climate patterns, or real-time weather updates—traders adjust their bids and asks, causing prices to move and the implied probabilities to shift dynamically.

This market resolves around Jun 28, 2026, once the highest temperature recorded in San Francisco on June 27, 2026 is verified and confirmed. The outcome is determined by comparing actual recorded temperatures against the predefined outcome ranges offered in the market. Resolution occurs after the event date passes and credible public reporting of the final temperature is available, allowing the platform to settle all positions based on which outcome bracket the actual high temperature falls into.

Major signals include updated seasonal climate forecasts, El Niño or La Niña patterns affecting Pacific weather, historical temperature anomalies for late June, and real-time atmospheric pressure systems approaching California. Unexpected heat waves, changes in solar activity, or shifts in ocean temperatures can reshape trader expectations weeks in advance. As June 2026 approaches, daily weather models and 10-day forecasts will become increasingly influential, causing sharp repricing. Media coverage of extreme weather elsewhere may also shift risk sentiment and alter how traders value temperature outcomes.