Lowest temperature in Chicago on Jul 1, 2026?

Prediction market odds reflect real-money bets from traders and often diverge from traditional meteorological forecasts. While weather analysts rely on atmospheric models and historical data to project conditions months ahead, this market prices in trader conviction and incorporates evolving information as the event date approaches. Comparing the implied probabilities here to published seasonal outlooks from the National Weather Service or private forecasters can reveal where the crowd sees asymmetric risk—for instance, if traders assign notably higher odds to extreme heat than meteorologists predict.

On Kalshi, this market is priced through a continuous order book where traders buy and sell binary or range-based contracts representing different temperature outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each contract's price reflects the probability traders assign to that outcome occurring. As new information emerges—seasonal forecasts, climate patterns, or real-time weather data—participants adjust their positions, moving prices up or down. The spread between bid and ask prices tightens as the resolution date nears and uncertainty decreases.

This market resolves around Jul 2, 2026, once July 1, 2026 has passed and the day's lowest temperature in Chicago is verifiable from credible public sources. The outcome is determined by the actual recorded low temperature on that date, confirmed through official weather data. Traders holding contracts aligned with the verified outcome receive their payouts, while those on the wrong side of the trade lose their stake.

Several factors could shift odds in this market over the coming months. Updated seasonal climate forecasts, El Niño or La Niña patterns, and long-range weather models may signal warmer or cooler conditions for early July. As summer 2026 approaches, near-term meteorological data—jet stream positioning, solar activity, and historical analogs—will carry increasing weight. Major climate events or anomalies earlier in the year could also reset trader expectations, causing sharp repricing as the resolution date draws closer.