Lowest temperature in Denver on Jun 19, 2026?

Prediction market odds reflect real-money incentives for accuracy, which often reveal different signals than traditional weather forecasts. While meteorologists rely on atmospheric models and historical data, traders in this market incorporate a broader range of information—including long-range climate patterns, seasonal trends, and real-time model updates. The two approaches can diverge significantly months ahead of an event, especially for a specific metric like the lowest daily temperature. Comparing this market's implied probabilities to published forecasts from the National Weather Service or other agencies can highlight where market participants see edge or disagreement in the outlook.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares corresponding to different temperature outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome has a bid-ask spread, and the midpoint reflects the current market consensus. Prices range from 0 to 100 cents per share, where a higher price means traders assign a higher probability to that outcome occurring. As new information emerges or trading activity shifts, prices adjust in real time, allowing you to enter or exit positions at transparent, market-determined rates.

This market resolves around Jun 20, 2026, once June 19, 2026 has passed and the lowest temperature recorded in Denver that day is confirmed. The outcome will be verified against credible public sources to determine which temperature range or specific value occurred. Traders holding shares in the winning outcome will receive their payout based on the final settlement price. Until that date, prices will fluctuate as new weather data, seasonal patterns, and forecasts become available.

Several factors could shift odds in this market over the coming months. Long-range climate forecasts, El Niño or La Niña patterns, and seasonal anomalies will influence expectations for June temperatures in Denver. Major weather events or shifts in atmospheric circulation could prompt traders to reassess their positions. As spring 2026 approaches, medium-range forecast models will become more reliable, potentially triggering sharp repricing. News about climate trends, historical temperature records, or unusual seasonal patterns may also drive trading activity and move prices toward new equilibrium levels.