Lowest temperature in Oklahoma City on Jun 26, 2026?

Prediction market odds reflect aggregated trader expectations and often diverge from traditional meteorological forecasts. While weather analysts rely on numerical models and historical patterns, this market incorporates real-time information and trader conviction through price discovery. Comparing the implied probability from market odds to published forecasts from the National Weather Service or private meteorologists can reveal where consensus differs. Markets sometimes price in tail risks or consensus shifts faster than official updates, making them a useful cross-check against conventional forecasts.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares corresponding to specific temperature ranges. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome bracket has its own bid-ask spread, and the price of a share reflects the collective probability traders assign to that outcome occurring. As new information emerges—updated weather models, seasonal patterns, or atmospheric data—traders adjust their positions, moving prices in real time and creating a dynamic probability estimate for the lowest temperature on the event date.

This market resolves around Jun 27, 2026, once the lowest temperature recorded in Oklahoma City on June 26, 2026 is confirmed and verified against credible public sources. The outcome is determined by the actual daily minimum temperature reported for that date, measured in degrees Fahrenheit. Traders holding shares in the correct temperature bracket at resolution receive their payout, while incorrect positions expire worthless. Resolution typically occurs within hours of the close of the trading day.

Major weather pattern shifts, updated seasonal forecasts, and atmospheric anomalies can significantly move this market. El Niño or La Niña conditions, jet stream positioning, and high-altitude pressure systems all influence June temperatures in Oklahoma. Tropical activity, volcanic aerosol effects, and solar variability may also factor into long-range expectations. As the event date nears, short-range model consensus tightens, typically reducing volatility. Real-time data releases from NOAA, European weather models, and other meteorological agencies often trigger repricing as traders incorporate fresh information into their positions.