Lowest temperature in Chicago on Jun 9, 2026?

Prediction market odds on Kalshi reflect aggregated trader expectations and often diverge from traditional weather forecasts issued by meteorologists and climate analysts. While weather services rely on atmospheric models and historical data, prediction markets incorporate real-time information and financial incentives for accuracy. Comparing Kalshi implied probabilities to National Weather Service or private meteorological forecasts can reveal where traders see value or disagreement with consensus models. This comparison helps identify whether the market is pricing in tail risks or unusual weather patterns that analysts may underweight.

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 9, 2026 is priced through binary or range-based outcome contracts, where traders buy and sell shares corresponding to specific temperature thresholds. Each contract reflects the market's collective probability estimate for that outcome. Prices range from 0 to 100 cents, with higher prices indicating stronger belief in that temperature range occurring. Kalshi's order book matches buyers and sellers in real time, and the last-traded price serves as the current market odds for each temperature bracket.

The market resolves on Jun 10, 2026. Resolution is determined by the actual lowest temperature recorded in Chicago on June 9, 2026, as measured by an official weather data source. The specific temperature reading that settles the contract depends on which outcome bracket or threshold the final low temperature falls into. Traders should verify the exact data source and measurement methodology specified by the market terms to understand how their position will be settled.

Major weather pattern shifts, including changes to jet stream positioning, high-pressure systems, and cold fronts moving into the Midwest, could significantly move odds for this event. Long-range climate forecasts and seasonal outlooks issued by NOAA or other meteorological agencies may shift trader expectations. Unusual atmospheric conditions, volcanic activity affecting solar radiation, or El Niño or La Niña phase changes could influence June temperatures. As the event date approaches, medium-range weather models become more reliable, typically causing sharper price movements in the final week before June 9, 2026.