Lowest temperature in Chicago on Jun 28, 2026?

Prediction market odds often diverge from traditional weather analyst forecasts because they reflect real-time trader conviction rather than model-based predictions alone. While meteorologists rely on atmospheric data and historical patterns, this market incorporates sentiment, recent weather trends, and participant risk appetite. Over time, prediction markets have proven competitive with or superior to single-model forecasts for near-term events, though they work best when many informed participants trade actively. Comparing this market's odds to National Weather Service or other official forecasts can reveal where crowd expectations differ from institutional predictions.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares corresponding to different temperature outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome reflects supply and demand; as more traders buy shares predicting a colder low, that outcome's price rises, and vice versa. Settlement values are typically expressed as fractional odds between 0 and 1, where higher prices indicate greater perceived likelihood. Traders profit by correctly predicting which temperature bracket will occur, with payouts determined by their entry price and the final verified outcome.

This market resolves around Jun 29, 2026, after June 28, 2026 has passed and the day's lowest temperature can be verified. The outcome is determined by the actual recorded low temperature in Chicago on that date, confirmed once credible public reporting becomes available. Resolution typically occurs within hours or a day after the event, allowing traders to see final payouts. The specific temperature bracket or exact degree value that wins depends on how this market's outcome categories are structured at launch.

Several factors could shift odds significantly before resolution. Seasonal climate patterns, El Niño or La Niña conditions, and long-range weather model updates will influence trader expectations. Major atmospheric events—polar vortex disruptions, heat domes, or unusual jet-stream positioning—could trigger sharp repricing weeks or days before June 28. As the date approaches, short-term forecasts from the National Weather Service and private meteorologists become more reliable, often causing the market to converge toward their predictions. Breaking news about climate anomalies or historical temperature records for that date could also drive trading activity and price movement.