Highest temperature in Oklahoma City on Jun 4, 2026?

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the highest temperature outcome for Oklahoma City on June 4 is priced as a binary or range-based contract, with each temperature bracket assigned a probability-weighted price. Traders buy and sell shares at prices reflecting their belief in whether the actual high will fall within that range. The market price converges toward the true probability as more traders participate, and the spread between bid and ask narrows closer to the resolution date. Kalshi's transparent order book allows you to see depth and liquidity for each temperature outcome, helping you assess execution costs and market confidence in specific forecasts.

The market resolves on Jun 5, 2026, after the highest temperature in Oklahoma City on June 4, 2026, has been recorded and officially confirmed. Resolution timing allows for final data verification to ensure accuracy. The outcome is determined by the actual peak temperature observed that day, measured by the designated official weather station. Once the final reading is locked in, the contract settles and traders' profits or losses are calculated based on which outcome bracket or binary option they held. Early resolution is unlikely unless extreme circumstances prevent standard temperature recording.

Several factors could shift market odds for Oklahoma City's June 4 high. Major weather pattern changes—such as a cold front, high-pressure system, or tropical moisture influx—will trigger repricing as meteorologists update forecasts. Seasonal climate anomalies, including persistent drought or unusual jet-stream positioning, influence trader expectations. Real-time weather alerts and updated model runs in the days leading up to June 4 often cause sharp moves. Historical temperature records for that date and recent heat waves in the region may also sway sentiment. As the event date nears, intraday weather updates and final forecast consensus typically drive the most volatile trading.