Highest temperature in San Francisco on Jun 22, 2026?

Prediction market odds reflect real-money trader conviction and often incorporate meteorological forecasts, historical climate data, and seasonal patterns that professional weather analysts also consider. However, markets and traditional forecasts operate differently: traders are financially incentivized to price outcomes accurately, while analysts publish point estimates or confidence intervals. Comparing this market's implied probabilities to National Weather Service or other public forecasts can reveal where the crowd sees upside or downside risk relative to expert consensus, though both approaches have distinct strengths in capturing uncertainty.

On Kalshi, this market is priced through an order-book mechanism where traders submit bids and asks for shares corresponding to each temperature outcome bracket. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Share prices range from $0 to $1, with the sum of all outcome prices equaling $1, ensuring internal consistency. As traders buy or sell, prices adjust to reflect new supply and demand, and the current odds visible on the dashboard represent the marginal price of the most recent trades in each outcome category.

This market resolves around Jun 23, 2026, once the highest temperature recorded in San Francisco on June 22, 2026 is verified and confirmed. The outcome is determined by comparing the official daily maximum against the predefined temperature brackets offered in the market. Traders holding shares in the winning outcome bracket receive their payout, while other positions expire worthless. Resolution hinges on credible public reporting of the actual temperature reading from that date.

Major climate patterns, seasonal forecasts, and atmospheric conditions will influence trader positioning in this market. El Niño or La Niña cycles, upper-level ridge formation, marine layer strength, and historical June temperature records for San Francisco all serve as key signals. Additionally, updated meteorological models released in the weeks and days leading up to June 22, 2026 will likely trigger repricing as new data becomes available. Traders monitor long-range forecasts and real-time weather updates to adjust their bets on whether the day will be cooler or warmer than consensus expectations.