Lowest temperature in Oklahoma City on Jul 11, 2026?

Prediction market odds aggregate the views of many independent traders with real financial stakes, often capturing signals that traditional weather forecasts may miss or weight differently. While meteorologists rely on physics-based models and historical data, this market incorporates trader expectations about model uncertainty, extreme weather patterns, and other factors. Comparing the odds here to published forecasts from the National Weather Service or private meteorological firms can reveal where the crowd expects conditions to diverge from baseline predictions, offering a complementary perspective on the likely range of outcomes.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares corresponding to different temperature ranges. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome reflects supply and demand; as more traders expect a particular temperature band, its price rises, and vice versa. Settlement occurs when the actual low temperature is recorded, and share holders of the correct outcome receive their payout based on the final odds at which they traded.

This market resolves around Jul 12, 2026, once the lowest temperature recorded in Oklahoma City on July 11, 2026 is verified and confirmed. The outcome is determined by the actual observed minimum temperature on that date, measured against credible public weather reporting sources. Traders holding shares in the outcome band that matches the verified temperature receive their payout, while other positions expire worthless.

Major weather pattern shifts, seasonal climate anomalies, and updated long-range forecasts from meteorological agencies can all influence trader expectations and move odds significantly. Extreme heat waves, cold fronts, or unusual atmospheric conditions reported weeks or days before July 11 may trigger sharp repricing. Additionally, historical temperature records for that date and broader climate trends in the region could prompt traders to adjust positions. Real-time forecast updates and any unusual weather alerts will likely drive the most volatile price swings as the event date draws near.