Lowest temperature in Chicago on Jun 4, 2026?

Prediction market odds on Kalshi reflect aggregated trader expectations about Chicago's low temperature on June 4, 2026, and often diverge from traditional meteorological forecasts. While weather analysts rely on numerical models and historical patterns, prediction markets incorporate real-time information, trader conviction, and financial incentives. Comparing Kalshi odds to National Weather Service or private forecaster predictions can reveal where markets price in uncertainty or consensus differently than conventional models.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the lowest temperature in Chicago on June 4, 2026 is priced as binary or range-based contracts tied to specific temperature thresholds. Traders buy or sell shares reflecting their belief about whether the low will fall within or outside defined bands. Prices move between 0 and 100 cents per share, with the implied probability derived from the current market price. Liquidity and volume determine how easily you can enter or exit positions at competitive rates.

The market resolves on Jun 5, 2026, after the close of trading on June 4, 2026. Resolution is determined by the official lowest temperature recorded in Chicago on that date. The specific measurement station, data source, and rounding rules are defined in the contract terms on Kalshi. Once the official temperature is confirmed, all positions settle automatically based on whether the outcome matches the contract specifications.

Major weather pattern shifts, seasonal anomalies, and atmospheric blocking systems can significantly alter Chicago's low temperature on June 4, 2026. Updated long-range forecasts from meteorological agencies, changes in jet stream positioning, and unusual high-pressure or low-pressure systems will influence trader positioning. Additionally, historical temperature records for that date, climate trends, and any El Niño or La Niña activity may drive market repricing as new data emerges closer to the event.