Lowest temperature in Denver on Jun 10, 2026?

Prediction market odds on Kalshi reflect real-money traders' expectations and can be compared against traditional weather forecasts from the National Weather Service and seasonal climate models. Markets often incorporate broader information—including long-range climate patterns, historical June temperatures in Denver, and emerging atmospheric conditions—that may differ from single-model forecasts. By tracking both the prediction market odds and published analyst expectations, you can identify where consensus exists and where traders are pricing in tail risks or alternative scenarios that meteorologists may weight differently.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the lowest temperature in Denver on June 10, 2026 is priced as binary or range-based contracts, where traders buy and sell shares corresponding to specific temperature thresholds or bands. The price of each contract reflects the market's probability estimate for that outcome. As new weather data, seasonal forecasts, and real-time atmospheric patterns emerge, traders adjust their positions, causing prices to move. The bid-ask spread and trading volume on Kalshi indicate market confidence and liquidity around particular temperature scenarios for that date.

The market resolves on Jun 11, 2026. Resolution is determined by the official recorded lowest temperature in Denver on June 10, 2026, which establishes which outcome contract holders predicted correctly. The specific data source and measurement methodology used to settle the market are defined in the contract terms. Once the date passes and the actual minimum temperature is recorded, the market locks in and payouts are distributed to winning positions based on the final outcome.

Several factors can shift market odds for Denver's June 10 low temperature. Updated long-range weather forecasts and seasonal climate outlooks will influence trader expectations as the date approaches. Broader atmospheric patterns—such as jet stream positioning, high-pressure systems, and moisture availability—can signal cooler or warmer conditions. Historical analogues and climate indices like ENSO may also guide pricing. As June 10 draws closer, short-range weather models become more reliable, typically causing sharper price movements. Real-time conditions in the days immediately before the event will likely drive final adjustments to market odds.