Highest temperature in San Antonio on Jun 19, 2026?

Prediction market odds reflect real-money trader conviction and aggregate dispersed information faster than traditional analyst forecasts. While meteorologists publish seasonal and medium-range temperature outlooks, this market prices in live trader bets on the exact high for that date. Prediction markets often outperform single-source forecasts because participants have direct financial incentive to incorporate the latest data. Comparing this market's implied probability to published weather models can reveal where traders see upside or downside risk relative to official guidance.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell contracts tied to specific temperature ranges or outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each contract reflects the probability traders assign to that outcome, with prices ranging from near-zero to near-100 cents. As new information arrives—updated forecasts, seasonal patterns, or climate data—traders adjust their bids and offers, moving the market price. Tighter spreads indicate higher confidence and liquidity; wider spreads suggest uncertainty or lower trading activity.

This market resolves around Jun 20, 2026, after June 19, 2026 concludes. The outcome is determined by the verified highest temperature recorded in San Antonio on that date, confirmed once the event is observable from credible public reporting. Traders holding contracts aligned with the actual high-temperature outcome receive their payout, while mismatched positions expire worthless. Resolution timing allows for official data collection and verification before final settlement.

Major signals include updated seasonal climate forecasts, El Niño or La Niña patterns, and historical temperature anomalies for mid-June in Texas. Shifts in long-range weather models—especially those issued 2–4 weeks before the event—often trigger sharp repricing. Broader climate trends, such as above-normal or below-normal heat patterns across the Southwest, can also influence trader positioning. As June 19 approaches, medium-range forecasts become more precise, typically narrowing the market's probability distribution and reducing uncertainty around the final outcome.