Lowest temperature in San Antonio on Jun 2, 2026?

Prediction market odds on Kalshi reflect real-money trader expectations for San Antonio's lowest temperature on June 2, 2026, often incorporating meteorological data and seasonal patterns faster than traditional analyst forecasts. While weather analysts typically issue forecasts days or weeks in advance based on climate models, prediction markets continuously update as new information emerges and traders adjust positions. Comparing Kalshi odds to published forecasts from the National Weather Service or meteorological institutions can reveal whether markets are pricing in more optimistic or pessimistic temperature scenarios than official predictions.

On Kalshi, the Lowest temperature in San Antonio on Jun 2, 2026 is priced as a binary or range-based contract reflecting the minimum temperature expected that day. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy and sell shares corresponding to different temperature brackets, with prices fluctuating based on supply, demand, and incoming weather data. The contract price directly represents the market's probability estimate for each outcome, allowing traders to profit if their temperature prediction proves accurate at resolution.

The market resolves on Jun 3, 2026, after the trading window closes and the lowest temperature recorded in San Antonio on June 2, 2026 is finalized. The outcome is determined by official temperature data for that date, ensuring an objective and verifiable result. Once the actual low temperature is confirmed, the contract settles based on which outcome bracket or prediction was correct, and traders' profits or losses are calculated accordingly.

Several factors could shift odds for San Antonio's June 2, 2026 low temperature. Major weather pattern changes, such as shifts in high-pressure systems or unexpected cold fronts, would move markets significantly. Updated seasonal forecasts, El Niño or La Niña developments, and historical temperature anomalies for early June in San Antonio all influence trader positioning. As the date approaches, short-range weather models become more reliable, typically triggering sharper price movements. Real-time atmospheric data and any unusual climate events in the weeks leading up to June 2 will drive continuous market repricing.