Lowest temperature in San Antonio on Jun 3, 2026?

Prediction market odds on Kalshi reflect real-money trader expectations for San Antonio's low temperature on June 3, 2026, often incorporating meteorological data and seasonal patterns faster than traditional analyst consensus. While weather forecasters typically issue point estimates or ranges days in advance, prediction markets aggregate distributed knowledge from many participants with financial incentives to be accurate. Comparing Kalshi implied probabilities to National Weather Service forecasts or private meteorology firms can reveal where market participants expect conditions to diverge from official predictions, offering a complementary perspective on temperature risk.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the lowest temperature in San Antonio on June 3, 2026 is priced as a binary or range-based contract where traders buy or sell shares corresponding to specific temperature thresholds. The price of each share reflects the market's collective probability estimate for that outcome. As new weather data, seasonal trends, or atmospheric patterns emerge, traders adjust their positions, moving prices up or down. The current implied probability of the leading outcome and recent volume activity are visible on the PredictionHero dashboard, allowing you to assess liquidity and conviction behind the market's temperature forecast.

The market resolves on Jun 4, 2026, after June 3, 2026 has concluded and the actual lowest temperature recorded in San Antonio that day is confirmed. Resolution is determined by official temperature data, typically sourced from a recognized weather station or meteorological authority serving the San Antonio area. Once the final low temperature is established and verified, the contract settles according to which outcome bracket or threshold it falls into, and traders' profits or losses are calculated based on their positions and the settlement price.

Major weather pattern shifts, seasonal climate anomalies, and updated meteorological forecasts will likely drive price movement in this market. Cold fronts, high-pressure systems, or tropical activity in the Gulf of Mexico could significantly alter expectations for San Antonio's low temperature. Long-range climate models, El Niño or La Niña conditions, and historical temperature comparisons for early June will influence trader positioning. As June 3 approaches, short-term weather models become more precise, typically causing sharper repricing. Real-time atmospheric data releases and any unusual seasonal trends will be key catalysts for odds shifts on Kalshi.