Lowest temperature in San Antonio on Jun 18, 2026?

Prediction market odds reflect real-money trader consensus and often diverge from traditional weather analyst forecasts because markets incorporate diverse information sources and incentivize accuracy through financial stakes. While meteorologists rely on atmospheric models and historical data, this market aggregates the collective judgment of participants betting on the actual outcome. Comparing the implied probability in this market to published forecasts from the National Weather Service or other meteorological bodies can reveal where traders see additional risk or confidence. This divergence often highlights uncertainty that models alone may not fully capture.

On Kalshi, this market is priced through a continuous 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. The price of each outcome reflects the collective willingness of buyers and sellers to transact at that level, with tighter spreads indicating higher confidence and liquidity. As new information emerges or the event date draws closer, traders adjust their positions, moving prices dynamically. This mechanism ensures that market prices remain responsive to changing conditions and participant sentiment throughout the trading period.

This market resolves around Jun 19, 2026, after June 18, 2026 has concluded. The outcome is determined by verifying the actual lowest temperature recorded in San Antonio on that date against credible public sources. Once the event is confirmed and the data is finalized, the market settles based on which outcome bracket or threshold the verified temperature falls into. Participants' positions are then credited or debited according to the resolution outcome.

Several factors could shift market prices before resolution. Seasonal weather pattern updates, changes to long-range forecasts, and anomalies in atmospheric conditions leading into mid-June 2026 may prompt traders to adjust positions. Major climate events or shifts in jet stream patterns weeks in advance could signal unusual temperature swings. Additionally, historical comparisons to prior June 18 temperatures in San Antonio and broader regional weather trends influence trader expectations. As the event date approaches, short-term forecasts become more reliable, typically triggering increased trading activity and price convergence toward the expected outcome.