Lowest temperature in Miami on Jun 23, 2026?

Prediction market odds aggregate the collective judgment of many traders, often diverging from single-point analyst forecasts because markets incorporate real-time information and diverse viewpoints. While meteorologists may issue point estimates or confidence intervals for Miami's low temperature, this market prices uncertainty continuously as new data emerges. Traders weigh seasonal norms, climate models, and historical patterns differently than institutional forecasters, sometimes leading markets to signal higher or lower probability for extreme outcomes. Comparing the implied odds here to published weather forecasts can reveal where the crowd sees edge or disagreement with official predictions.

On Kalshi, this market is priced through an order-book mechanism where traders submit bids and asks for shares tied to specific temperature ranges or thresholds. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome reflects supply and demand; as more traders expect a particular low temperature, the odds for that outcome rise. Kalshi's pricing model ensures that the sum of all outcome probabilities equals 100%, maintaining internal consistency. Traders can enter and exit positions throughout the trading window, and prices adjust in real time based on new weather data, model updates, and shifting market sentiment.

This market resolves around Jun 24, 2026, once June 23, 2026 has passed and the day's weather data is finalized. The outcome is determined by the verified lowest temperature recorded in Miami on that date, confirmed against credible public sources such as the National Weather Service or established meteorological records. Resolution occurs after the event is observable and reported, ensuring accuracy and preventing disputes. Traders holding positions aligned with the actual low temperature receive their payouts once the market settles.

Major climate and weather signals that could shift odds include updated seasonal forecasts, shifts in the Atlantic hurricane season outlook, and long-range climate models showing anomalies for June 2026. Real-time weather pattern changes—such as cold fronts, high-pressure systems, or tropical activity—will influence trader expectations as the date approaches. El Niño or La Niña conditions, if they persist or intensify, could alter typical summer temperatures in South Florida. Additionally, any significant revisions to historical temperature records or methodology by meteorological agencies could recalibrate baseline expectations, prompting traders to adjust their positions.