Highest temperature in San Antonio on Jun 30, 2026?

Prediction market odds reflect real-time aggregation of trader beliefs and typically incorporate meteorological forecasts, historical climate patterns, and seasonal trends for the San Antonio region. While professional weather analysts publish point estimates and confidence intervals months in advance, this market prices uncertainty dynamically as new data emerges. Comparing the implied probability from market odds to published forecasts can reveal whether traders are pricing in more or less risk than official models suggest, offering a complementary signal to traditional meteorological guidance.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell contracts corresponding to specific temperature ranges. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each contract pays out based on whether the actual high temperature falls within its designated bracket, with prices reflecting the collective probability assigned by active traders. Tighter spreads between bid and ask indicate higher confidence and liquidity, while wider spreads suggest uncertainty or lower trading activity around particular temperature thresholds.

This market resolves around Jul 1, 2026, once the highest temperature recorded in San Antonio on June 30, 2026 is verified and finalized. The outcome is confirmed against credible public sources documenting the official daily high, ensuring all traders receive the same factual reference point. Resolution typically occurs within hours of market close, allowing rapid payout distribution to winning positions.

Major weather pattern shifts, seasonal climate anomalies, and updated long-range forecasts from meteorological agencies can significantly move odds in this market. El Niño or La Niña conditions, atmospheric pressure systems, and historical heat waves in the region all influence trader expectations. As June 2026 approaches, weekly and daily forecasts become increasingly precise, typically triggering sharp repricing. Real-time temperature readings in late June will drive final volatility as traders adjust positions based on actual conditions emerging in the days immediately before the event.