Lowest temperature in Oklahoma City on Jun 14, 2026?

Prediction market odds reflect aggregated trader sentiment and often diverge from traditional meteorological forecasts because markets incorporate real-time information, uncertainty premiums, and diverse participant views. While weather analysts issue point estimates or ranges based on atmospheric models, this market prices in the collective judgment of traders who profit or lose based on accuracy. Over time, prediction markets have proven competitive with or superior to single-model forecasts for near-term weather events, though both approaches have distinct strengths depending on forecast horizon and data quality.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell shares corresponding to different temperature outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome contract reflects the probability traders assign to that temperature range, with prices ranging from near-zero to near-100 cents per share. As new weather information arrives or trading interest shifts, the bid-ask spread and mid-price adjust in real time, allowing participants to enter or exit positions at market rates.

This market resolves around Jun 15, 2026, after June 14, 2026 has concluded and the day's low temperature is verifiable from credible public sources. The outcome is determined by the actual lowest temperature recorded in Oklahoma City on that date, confirmed once official weather data becomes available. Traders holding shares in the correct outcome receive their payout once the event is finalized and the market settles.

Major weather pattern shifts, seasonal climate anomalies, and updated long-range forecasts from meteorological agencies can significantly move this market. Unusual atmospheric conditions—such as early heat waves, cold fronts, or tropical systems—may alter trader expectations weeks or months in advance. Additionally, historical temperature records for that date and broader climate trends in the Southern Plains region influence positioning. As June 14 approaches, short-term model consensus and real-time atmospheric data become increasingly important drivers of price movement.