Lowest temperature in Denver on Jun 17, 2026?

Prediction market odds often diverge from traditional weather analyst forecasts because they incorporate real-time trader behavior, sentiment, and new information as it emerges. While meteorologists rely on atmospheric models and historical data to issue point forecasts, this market reflects the aggregated beliefs of participants with financial stakes in the outcome. Over time, prediction markets have shown competitive accuracy against expert predictions, particularly when traders have access to the same underlying data. Comparing odds here to published forecasts from the National Weather Service or private meteorology firms can reveal where market participants expect conditions to deviate from consensus models.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for outcome shares, and the last traded price reflects the current market consensus. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Prices range from near 0 to 100, with higher prices indicating stronger trader conviction that a given temperature outcome will occur. As new weather data, forecasts, or seasonal patterns emerge, traders adjust their positions, causing prices to shift dynamically. The spread between bid and ask prices reflects liquidity and uncertainty around the specific low temperature outcome.

This market resolves around Jun 18, 2026, after June 17, 2026 has passed and the day's weather data is finalized. The outcome is determined by the verified lowest temperature recorded in Denver on that date, confirmed once the event is observable from credible public reporting. Traders holding shares in the outcome that matches the actual low temperature receive their payout, while incorrect predictions expire worthless. Resolution timing allows for official weather records to be published and cross-checked before final settlement.

Major weather pattern shifts, seasonal forecasts, and updated climate models will drive price movement in this market. El Niño or La Niña conditions, jet stream positioning, and high-altitude pressure systems can all influence June temperatures in Denver. As spring progresses into early summer 2026, traders will react to long-range forecasts, historical temperature trends, and any unusual atmospheric developments. Near the resolution date, short-term weather models become more reliable, typically causing sharper repricing. Extreme weather events or anomalies reported elsewhere in the region may also prompt traders to reassess their positions.