Lowest temperature in Oklahoma City on Jun 13, 2026?

Prediction market odds often diverge from traditional weather analyst forecasts because they reflect real-money incentives and aggregated trader judgment rather than a single meteorological model. While meteorologists rely on atmospheric data and historical patterns, this market incorporates broader market sentiment and risk appetite. Traders who outperform consensus forecasts profit, creating pressure for odds to converge toward accurate outcomes over time. Comparing the implied probabilities here to published forecasts from the National Weather Service or other agencies can reveal where the prediction community sees opportunities or risks that conventional analysis may have underweighted.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell shares corresponding to different temperature ranges or outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome has a price between 0 and 100 cents, reflecting the implied probability that traders assign to it. As new information arrives—updated weather models, seasonal patterns, or real-time atmospheric conditions—traders adjust their bids and offers, causing prices to shift. The spread between buy and sell prices reflects liquidity and uncertainty; tighter spreads indicate high confidence and trading activity, while wider spreads suggest lower engagement or disagreement among participants.

This market resolves around Jun 14, 2026, once June 13, 2026 has passed and the actual lowest temperature in Oklahoma City can be verified. The outcome is determined by comparing reported temperature data against the predetermined outcome thresholds established at market creation. Verification relies on credible public sources such as the National Weather Service or other recognized meteorological records. Once the event is confirmed and the correct outcome is clear, the market settles and traders' positions are finalized based on which outcome occurred.

Major weather pattern shifts, seasonal anomalies, and updated long-range forecasts from meteorological agencies can significantly move this market. El Niño or La Niña conditions, jet stream positioning, and historical temperature records for mid-June in Oklahoma City all serve as reference points traders monitor. Real-time atmospheric data, including pressure systems and moisture levels, become increasingly relevant as June 2026 approaches. Additionally, any unusual climate events or documented warming or cooling trends in the region may prompt traders to reassess their positions. As the date draws closer, short-range forecasts will carry greater weight and can trigger sharp price movements.