Lowest temperature in San Francisco on Jun 3, 2026?

Prediction market odds on Kalshi reflect real-money trader sentiment and often incorporate meteorological forecasts from professional weather services. While meteorologists issue deterministic temperature predictions based on atmospheric models, prediction markets aggregate diverse opinions into probabilistic odds. Comparing the two reveals whether traders are pricing in more or less uncertainty than official forecasts suggest, and whether market participants expect conditions to deviate from baseline seasonal norms for early June in San Francisco.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the lowest temperature outcome for San Francisco on June 3 is priced as a binary or range-based contract reflecting trader expectations about that day's minimum temperature. Prices move based on new weather model updates, seasonal climate data, and real-time trading activity. As the event date approaches, prices typically converge toward the actual observed outcome, with volatility driven by forecast uncertainty and shifts in atmospheric conditions that influence San Francisco's coastal microclimate.

Major weather pattern shifts, updated seasonal forecasts, and atmospheric anomalies can move odds significantly. Early June in San Francisco is typically mild, but marine layer strength, high-pressure systems, and any unusual heat or cold fronts will influence trader expectations. As June 3 approaches, short-range weather models become more reliable, often triggering sharp price moves. Additionally, broader climate signals—such as El Niño or La Niña conditions, and any unexpected weather events in late May—can shift market sentiment about the likely low temperature for that day.