Lowest temperature in Oklahoma City on Jun 27, 2026?

Prediction market odds often diverge from traditional weather forecasts because they incorporate real-time trader positioning and risk appetite alongside meteorological models. While meteorologists issue deterministic or probabilistic forecasts based on atmospheric data, this market reflects the aggregate belief of traders who have financial incentive to price outcomes accurately. Comparing the implied probability from market odds to published forecasts from the National Weather Service or other analysts can reveal where the crowd sees asymmetric risk or where consensus is strongest.

On Kalshi, this market is priced through an 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 contract trades independently, and the price of a share reflects the market's implied probability that the lowest temperature will fall within that band. As traders place bids and offers, prices adjust in real time, allowing you to enter or exit positions at the current market rate.

This market resolves around Jun 28, 2026, after June 27, 2026 has passed and the actual low temperature for Oklahoma City is recorded. The outcome is confirmed once the event is verifiable from credible public sources, typically the National Weather Service or equivalent meteorological authority. Whichever temperature band matches the verified low determines which outcome contract settles to full value.

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 jet-stream positioning—will be reflected in revised trader expectations. Additionally, historical temperature records for that date and time-of-year climatology serve as anchors; any new data suggesting deviation from the norm will drive repricing as traders adjust their positions.