Lowest temperature in Oklahoma City on Jun 1, 2026?

Prediction market odds on Kalshi reflect real-money trader expectations for the June 1 low in Oklahoma City, often incorporating weather model consensus faster than traditional analyst forecasts. While meteorologists typically issue extended outlooks 10–14 days ahead, prediction markets aggregate live information and adjust continuously as new data arrives. Comparing Kalshi implied probabilities to National Weather Service extended forecasts or private weather analytics can reveal where traders see edge or disagreement. Markets tend to price tail risks differently than deterministic forecasts, making them a complementary signal rather than a replacement for official weather guidance.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the lowest temperature for Oklahoma City on June 1 is priced as binary or range-based contracts reflecting specific temperature thresholds. Traders buy or sell shares corresponding to whether the actual low will fall above or below predetermined strike levels. Kalshi's order book displays bid-ask spreads and contract depth, allowing you to see real-time liquidity and the marginal cost of entering or exiting positions. Prices update continuously as new weather data, seasonal patterns, and trader positioning shift market expectations for that specific date.

The market resolves on Jun 2, 2026, after the close of June 1, 2026, in Oklahoma City. Resolution is determined by the official recorded lowest temperature for that calendar day, sourced from the National Weather Service or designated weather station data for the Oklahoma City area. Once the day concludes and the final low is published, the contract settles based on whether the actual temperature falls within the specified outcome range. Traders holding winning shares receive payout proportional to their position size.

Major weather pattern shifts, including changes to upper-level atmospheric circulation, jet stream position, and high-pressure or low-pressure system timing, will drive price movement. Updated extended-range forecasts from NOAA and European weather models typically shift market odds as they refine predictions for early June. Seasonal climate indices, such as soil moisture and sea-surface temperatures affecting regional weather, can also influence trader positioning. As June 1 approaches, daily forecast updates and real-time atmospheric observations will increasingly dominate pricing, with the final 48 hours typically showing the most volatile repricing as deterministic short-range models converge.