Highest temperature in San Antonio on Jun 23, 2026?

Prediction market odds often diverge from traditional weather analyst forecasts because they incorporate real-time trader sentiment and a financial incentive structure that rewards accuracy. While meteorologists rely on physics-based models and historical data, this market aggregates dispersed information from participants who have skin in the game. Over time, prediction markets have proven competitive with or superior to expert consensus on many events. Comparing the odds here to published forecasts from the National Weather Service or local meteorologists can reveal where traders see upside or downside risk relative to official predictions.

On Kalshi, this market is priced through a continuous order-book mechanism where buyers and sellers trade contracts tied to specific temperature ranges. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders submit bids and asks, and the market price reflects the equilibrium between supply and demand for each outcome. As new information emerges—such as updated weather models or seasonal forecasts—traders adjust their positions, moving the price up or down. The spread between bid and ask prices tightens or widens based on liquidity and conviction among participants.

This market resolves around Jun 24, 2026, once the highest temperature recorded in San Antonio on June 23, 2026 is verified and finalized. The outcome is confirmed against credible public sources such as official weather station data or recognized meteorological records. Traders holding contracts aligned with the actual high temperature receive their payout, while those on incorrect outcomes lose their stake. Resolution typically occurs within hours of the market end date once the data is published and validated.

Several factors could shift odds in this market before it closes. Updated seasonal climate forecasts, changes in atmospheric patterns, or shifts in long-range weather models could prompt traders to reassess their positions. Major weather systems developing weeks or days before June 23 would likely trigger significant repricing. Additionally, historical temperature records for that date and broader climate trends could influence trader conviction. Real-time model updates from meteorological agencies and any unusual atmospheric anomalies would all serve as catalysts for price movement as the event date approaches.