Lowest temperature in Chicago on Jun 21, 2026?

Prediction market odds reflect real-time consensus from traders actively wagering capital, whereas traditional weather forecasts rely on meteorological models and expert analysis. This market aggregates dispersed information through price discovery—traders who accurately predict Chicago's June 21 low temperature profit, creating financial incentive for accuracy. While meteorologists publish deterministic forecasts days or weeks ahead, prediction markets continuously update as new data emerges, often revealing where professional and crowd expectations diverge on tail-risk scenarios or unusual weather patterns.

On Kalshi, this market is priced through an order-book mechanism where traders submit bids and asks for outcome shares, and the spread between buy and sell orders determines the current odds. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Prices move as traders reassess the probability of different temperature ranges based on updated forecasts, historical patterns, and real-time weather data. Each outcome contract trades independently, allowing participants to express granular views on whether the low will be above or below specific thresholds on the target date.

This market resolves around Jun 22, 2026, once June 21, 2026 has passed and the lowest temperature for Chicago is verifiable from credible public sources. The outcome is determined by official meteorological records, typically reported by the National Weather Service or equivalent authoritative weather data provider. Traders' positions settle based on which temperature range the actual low falls into, with payouts distributed according to the market rules at that time.

Major weather pattern shifts, seasonal climate anomalies, and updated long-range forecasts will drive significant price movement in this market. El Niño or La Niña conditions, Arctic air outbreaks, or heat dome formation could alter trader expectations weeks or months before June 21. Near-term catalysts include monthly meteorological updates, atmospheric blocking patterns, and any unusual jet-stream behavior reported by climate centers. As the event date approaches, daily forecast refinements and real-time atmospheric data will trigger sharper repricing of outcome odds.