Lowest temperature in San Antonio on Jun 15, 2026?

Prediction market odds reflect the collective judgment of traders betting real money, which often incorporates a broader range of data than traditional analyst forecasts alone. While meteorologists and climate analysts publish seasonal outlooks and historical temperature patterns for San Antonio, this market aggregates trader expectations into a single probability. The two approaches can diverge when new information emerges or when traders weight certain climate signals differently than official forecasts. Comparing the implied odds here to published expert predictions offers insight into how markets price uncertainty relative to institutional analysis.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell shares corresponding to different temperature ranges or outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each share represents a claim on a specific outcome, and the market price reflects the balance of buy and sell orders at any moment. As traders update their views based on weather data, seasonal trends, and other signals, the bid-ask spread adjusts accordingly. This continuous pricing mechanism ensures that the market odds remain responsive to new information throughout the trading period.

This market resolves around Jun 16, 2026, once June 15, 2026 has passed and the lowest temperature for that day in San Antonio can be verified. The outcome is confirmed using credible public reporting from established weather data sources. Traders who correctly predicted the temperature range receive their payout based on the final verified reading. Resolution typically occurs within hours of the market end date once official data is available and confirmed.

Several factors could shift odds in this market over time. Updated seasonal climate models and long-range forecasts for June 2026 may reveal patterns favoring warmer or cooler conditions in South Texas. El Niño or La Niña developments, which influence North American weather patterns, could reshape trader expectations. Historical temperature records and anomalies for mid-June in San Antonio provide benchmarks that traders reference. As the actual date approaches, short-range weather forecasts become more precise and can trigger significant repricing. Traders also monitor broader climate trends and any unusual atmospheric conditions that might affect typical June temperatures in the region.