Lowest temperature in Denver on Jun 8, 2026?

Prediction market odds on Kalshi reflect real-money traders' expectations and often incorporate meteorological forecasts, historical climate data, and seasonal trends. Unlike traditional weather analyst point estimates, markets aggregate dispersed information through price discovery. As June 8, 2026 approaches, meteorologists will publish detailed forecasts for Denver's low temperature, which traders can compare against current market odds. Divergences between market-implied probabilities and official forecasts may signal either market inefficiency or early detection of weather pattern shifts that analysts have not yet fully incorporated.

On Kalshi, the lowest temperature in Denver on June 8, 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 and sell shares at prices between 0 and 100 cents, with the price reflecting the implied probability of that outcome occurring. As new weather models, seasonal data, and real-time atmospheric conditions emerge, contract prices adjust to reflect updated expectations. The market resolves based on the official recorded low temperature from a designated weather station in Denver on that date.

The market resolves on Jun 9, 2026, after the trading day ends and the lowest temperature for June 8, 2026 in Denver is officially recorded. Resolution is determined by the actual minimum temperature observed on that date, measured by an authoritative weather source. Once the official low is confirmed, contracts corresponding to the correct temperature outcome are settled at full value, while all other contracts expire worthless. This mechanism ensures that market prices reflect genuine expectations about a measurable, verifiable weather event.

Several factors can shift market odds for Denver's June 8 low temperature. Updated long-range weather forecasts and seasonal climate models will influence trader expectations as the date approaches. Major atmospheric patterns, such as high-pressure systems or cold fronts, can dramatically alter the probability of unusually warm or cold nights. Historical Denver climate data and typical June weather patterns provide baseline expectations that traders reference. Additionally, real-time meteorological developments in the weeks and days before June 8 will drive sharp repricing as the forecast becomes more precise and certain.