Lowest temperature in Oklahoma City on Jul 5, 2026?

Prediction market odds often diverge from traditional weather analyst forecasts because they incorporate real-time trader conviction and broader information sets. While meteorologists rely on atmospheric models and historical data, prediction markets aggregate the collective judgment of many participants with financial incentives to forecast accurately. Comparing this market's odds to published forecasts from the National Weather Service or private weather firms can reveal where traders see value or disagreement. Markets tend to update faster than official forecasts when new data arrives, making them a useful cross-check for understanding expected outcomes.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares corresponding to different temperature ranges or specific thresholds. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome has its own price, typically expressed as a probability between 0 and 100, and you can trade in or out of positions at any time before the market closes. The spread between bid and ask prices reflects the market's liquidity and uncertainty around the exact low temperature. As new weather data or forecasts emerge, traders adjust their positions, causing prices to shift dynamically.

This market resolves around Jul 6, 2026, once July 5, 2026 has passed and the lowest temperature for that day in Oklahoma City can be verified. The outcome is confirmed against credible public sources that record the official low temperature. Traders' positions settle based on which temperature outcome or range actually occurred, with payouts distributed to those who correctly predicted the result. The exact resolution process follows Kalshi's standard procedures for weather events.

Several factors can shift odds in this market before it resolves. Updated seasonal forecasts, changes in large-scale weather patterns, and shifts in the jet stream position could alter expectations for early July conditions in Oklahoma City. Major weather models released in the days and weeks leading up to July 5 will likely trigger significant price movement as traders incorporate new data. Short-term atmospheric developments, such as the approach of high-pressure systems or cold fronts, may also influence trading activity. Real-time monitoring of meteorological updates and model consensus will help you track how conviction around the final low temperature evolves.