Lowest temperature in Denver on Jun 12, 2026?

Prediction market odds often diverge from traditional meteorological forecasts because they incorporate real-time trader conviction and forward-looking sentiment. While weather analysts rely on numerical models and historical patterns, this market aggregates the collective judgment of participants who have financial incentive to forecast accurately. Over time, prediction markets have proven competitive with or superior to single-model forecasts for weather outcomes. Comparing the odds here to published seasonal outlooks from NOAA or other agencies can reveal where the crowd sees different probabilities than institutional forecasters.

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 contract reflects the probability traders assign to that outcome, with the bid-ask spread showing the current consensus range. As new information arrives—seasonal updates, climate patterns, or real-time forecasts—traders adjust their positions, moving prices up or down. The market price at any moment represents the marginal trader's view of the likelihood for that temperature outcome on the specified date.

This market resolves around Jun 13, 2026, after June 12, 2026 has passed and the lowest temperature recorded in Denver that day is confirmed. The outcome is verified against credible public sources, such as official weather station data or meteorological records maintained by recognized agencies. Once the actual low temperature is established and matched to the market's outcome categories, traders' positions settle accordingly. Resolution typically occurs within hours to a day after the event, depending on data availability and platform processing.

Major climate patterns, seasonal forecasts, and long-range weather models will influence this market significantly. El Niño or La Niña conditions, shifts in the jet stream, and anomalies in spring or early summer temperatures can all reshape trader expectations. Real-time updates from NOAA, the National Weather Service, and other meteorological agencies will drive price adjustments as June 2026 approaches. Additionally, any unusual atmospheric events—volcanic activity, solar cycles, or unexpected warming or cooling trends—could trigger rapid repricing. Traders will continuously incorporate new data to refine their probability estimates.