Highest temperature in San Antonio on Jun 2, 2026?

Prediction market odds on Kalshi reflect real-money trader expectations for San Antonio's high temperature on June 2, 2026, and often differ from traditional meteorological forecasts. While weather analysts rely on atmospheric models and historical data, prediction markets incorporate trader beliefs about model accuracy, potential surprises, and regional climate patterns. Comparing the market's implied probability to National Weather Service or other meteorological forecasts can reveal where traders expect divergence from conventional predictions. This comparison helps identify whether the market is pricing in unusual weather scenarios or consensus outcomes.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the highest temperature outcome for San Antonio on June 2 is priced as a binary or range-based contract reflecting trader consensus on the likely high. Prices move based on order flow, with buyers and sellers negotiating the probability of each temperature band. As the event date approaches and new weather data emerges, prices adjust to reflect updated expectations. Traders can enter or exit positions throughout the market's lifespan, and the final price at resolution reflects the market's last assessment before the actual temperature is recorded.

The market resolves on Jun 3, 2026, after the highest temperature in San Antonio on June 2, 2026, has been recorded and verified. Resolution timing allows for official weather data to be published and confirmed before payouts are finalized. The outcome is determined by the actual peak temperature observed in San Antonio that day, measured according to established meteorological standards. Traders who correctly predicted the temperature range or outcome receive their winnings, while incorrect predictions result in losses.

Several factors can shift market odds for San Antonio's June 2 high temperature. Updated weather models and forecasts from the National Weather Service will influence trader expectations as the date approaches. Seasonal climate patterns, El Niño or La Niña conditions, and broader atmospheric circulation changes can signal hotter or cooler outcomes. Major weather systems moving into Texas, such as high-pressure ridges or cold fronts, will trigger repricing. Real-time atmospheric data, soil moisture levels, and historical temperature records for that date also guide trader decisions and can cause significant odds movements.