Highest temperature in San Antonio on Jun 6, 2026?

Prediction market odds on Kalshi reflect aggregated trader beliefs about San Antonio's high temperature, often incorporating meteorological models and historical climate patterns. Traditional weather forecasts from the National Weather Service and private meteorologists typically issue deterministic point estimates or narrow ranges. Prediction markets price uncertainty across a broader distribution of outcomes, allowing traders to express nuanced views on tail risks or unseasonably hot or cool days. Comparing market odds to official forecasts reveals whether traders expect conditions to deviate from consensus meteorological guidance.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, temperature outcomes are typically priced as binary or range-based contracts, with each outcome reflecting the probability traders assign to that temperature band occurring on June 6, 2026. Prices fluctuate based on incoming weather data, seasonal patterns, and real-time trader demand. The platform's order book aggregates buy and sell interest, establishing a market price that balances bullish and bearish positioning. As the event date approaches, prices converge toward realized conditions, and liquidity may shift toward the most likely outcome.

The market resolves on Jun 7, 2026, after the highest temperature for June 6, 2026 in San Antonio is recorded and finalized. The outcome is determined by official temperature data from a designated weather station or meteorological authority. Once the day's peak temperature is confirmed, the contract settles to the outcome bracket or range that encompasses that recorded high. Traders holding positions on the correct outcome receive payouts proportional to their stake and the final odds.

Major signals include updated seasonal forecasts, atmospheric patterns such as high-pressure systems or cold fronts, and historical temperature anomalies for early June in San Antonio. El Niño or La Niña conditions can influence regional climate tendencies. As June 6 approaches, short-range weather models become more reliable, typically sharpening market expectations. Real-time weather alerts, heat advisories, or unusual jet-stream positioning in the days before the event can trigger sharp price movements. Traders monitor National Weather Service updates and long-range climate outlooks continuously.