Highest temperature in San Antonio on Jul 11, 2026?

Prediction market odds reflect aggregated trader beliefs and often diverge meaningfully from traditional weather analyst forecasts. While meteorologists rely on atmospheric models and historical data, this market incorporates real-time information and trader conviction through price discovery. Comparing the implied probability from market odds to published forecasts from the National Weather Service or other agencies can reveal where the prediction community expects surprises or where consensus is strongest. This divergence often highlights uncertainty that analysts may underweight or overweight.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares corresponding to different temperature ranges. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome contract reflects the collective willingness of buyers and sellers to commit capital, with prices ranging from near-zero to near-100 cents per share. The spread between bid and ask prices tightens as volume increases, making it easier for traders to enter or exit positions with minimal slippage as the resolution date draws closer.

This market resolves around Jul 12, 2026, once the highest temperature recorded in San Antonio on July 11, 2026 is verifiable from credible public sources. The outcome is determined by comparing all recorded temperatures for that day and identifying the peak value. Traders holding shares in the correct temperature range at resolution receive their payout, while incorrect positions expire worthless. The resolution process is automatic once the data becomes available and is confirmed against official weather records.

Several factors can shift odds in this market significantly. Seasonal weather pattern updates, El Niño or La Niña developments, and long-range forecast model revisions all influence trader expectations. Major heat waves or unusual atmospheric patterns reported in the months leading up to July 2026 may prompt repricing. Additionally, historical temperature records for San Antonio on that date and typical summer highs serve as anchors; any new climate data or anomalies in regional weather trends can trigger rapid position adjustments as traders reassess tail-risk scenarios.