Lowest temperature in Denver on May 30, 2026?

Prediction market odds on Kalshi reflect aggregated trader expectations and often diverge from traditional weather forecasts issued by meteorologists and the National Weather Service. While analysts rely on atmospheric models and historical climate data, prediction markets incorporate real-time information and financial incentives for accuracy. Comparing Kalshi implied probabilities to published seasonal forecasts and long-range weather outlooks can reveal where the market is pricing in tail risks or consensus confidence. Both sources offer value: markets capture collective wisdom, while expert forecasts provide detailed meteorological reasoning.

On Kalshi, the lowest temperature in Denver on May 30, 2026 is priced as a set of binary or range-based contracts, each representing a specific temperature threshold or band. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy or sell shares corresponding to their belief about whether the actual low will fall within or outside each range. Prices move between 0 and 100 cents, where higher prices indicate greater market confidence in that outcome. Volume and bid-ask spreads reflect liquidity for each contract, with active trading typically concentrated around the most probable temperature ranges based on seasonal norms and current climate patterns.

The market resolves on May 31, 2026, after May 30, 2026 concludes and the official lowest temperature for Denver is recorded. Resolution is determined by the actual minimum temperature observed on that date, sourced from the National Weather Service or equivalent official meteorological data. Once the final temperature is confirmed, contracts corresponding to the correct outcome are settled at full value, and all other contracts expire worthless. The specificity of the temperature threshold or range determines which contract holders receive payouts.

Several factors could shift market odds before resolution. Updated long-range weather forecasts and seasonal climate outlooks will influence trader expectations as May 2026 approaches. Major atmospheric patterns, such as the development of high or low-pressure systems, polar vortex behavior, or El Niño conditions, can alter Denver's expected temperature range. Historical May weather data and recent spring temperature trends also inform positioning. As the event date nears, short-range meteorological models become more precise, typically triggering repricing. Real-time weather developments in late May will drive final adjustments before market settlement.