Highest temperature in San Antonio on Jul 3, 2026?

Prediction market odds often diverge from traditional weather forecasts because they incorporate real-time trader conviction and incorporate a broader set of signals beyond meteorological models alone. While meteorologists publish deterministic forecasts based on atmospheric data, this market aggregates the collective judgment of participants who have financial incentive to price outcomes accurately. Comparing the implied probabilities here to published forecasts from the National Weather Service or other analysts can reveal where the market is pricing in tail risks or consensus blind spots. This divergence itself becomes valuable information for understanding market expectations versus expert consensus.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell shares corresponding to different temperature outcome ranges. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome bracket has its own price, reflecting the probability traders assign to that range occurring. As new information emerges—updated weather models, seasonal patterns, or climate data—traders adjust their bids and asks, moving prices in real time. The spread between buy and sell prices indicates liquidity and conviction; tighter spreads suggest higher confidence in a particular outcome, while wider spreads reflect uncertainty or lower trading activity.

This market resolves around Jul 4, 2026, once July 3, 2026 has passed and the highest temperature recorded in San Antonio that day is verified against credible public sources. The outcome is determined by the single highest temperature reading reported for that date, measured in degrees Fahrenheit. Resolution occurs after the event is complete and official data is available, ensuring all participants have access to the same factual basis for settlement. Early traders must weigh forecast uncertainty against the time value of their capital until the market closes.

Major weather pattern shifts, updated seasonal forecasts, and long-range climate anomalies can all move prices significantly. El Niño or La Niña conditions, changes in jet stream positioning, and heat dome formation across the southern United States are key catalysts. As July 3, 2026 approaches, medium-range forecasts become more reliable, typically causing the market to narrow around a consensus range. Real-time weather alerts, record-breaking heat events in nearby regions, and atmospheric pressure systems developing weeks in advance all provide traders with fresh information to reprice outcomes.