Lowest temperature in San Antonio on Jun 27, 2026?

Prediction market odds reflect aggregated trader expectations and often diverge from traditional meteorological forecasts because they incorporate real-time information, uncertainty premiums, and market incentives. While weather analysts publish deterministic or probabilistic models based on atmospheric data, this market prices the same outcome through decentralized consensus. Comparing the two reveals whether traders believe official forecasts are too optimistic or pessimistic about the June 27 low. Over time, prediction markets have proven competitive with or superior to expert predictions in many domains, though both sources remain valuable for forming a complete picture.

This market resolves around Jun 28, 2026, once the lowest temperature recorded in San Antonio on June 27, 2026, is verifiable from credible public sources. The outcome is determined by comparing the actual recorded low to the threshold specified in the contract. Traders holding the correct position at resolution receive their payout, while incorrect positions expire worthless. Resolution typically occurs within hours of the event, pending confirmation of the official temperature reading.

Major weather pattern shifts, updated seasonal forecasts, and atmospheric anomalies can significantly move odds in this market. El Niño or La Niña developments, sudden polar vortex disruptions, or heat dome formations would all influence trader expectations for a Texas low. Real-time model consensus updates from the National Weather Service and European forecasting centers typically trigger repricing. Additionally, historical temperature records and long-range climate trends may prompt traders to adjust positions as June 27 approaches and short-range forecasts become more precise.