Lowest temperature in Chicago on Jul 2, 2026?

Prediction market odds on this market reflect real-money incentives for accuracy, often diverging from traditional meteorological forecasts. While weather analysts issue point estimates and confidence intervals based on numerical models, traders here embed their own model outputs, historical patterns, and risk preferences into market prices. Over time, prediction markets have proven competitive with or superior to single-model consensus in many domains. Comparing this market's implied probabilities to National Weather Service or other official forecasts can reveal where professional meteorologists and trading participants disagree on the likelihood of specific temperature outcomes.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and offers for outcome shares. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome bracket—representing a distinct temperature range for the Chicago low on July 2, 2026—trades independently, with its price reflecting the collective probability assigned by active participants. Shares are fractional and priced between 0 and 100 cents, where the price directly represents the implied probability. Liquidity and spreads vary by outcome; more heavily traded brackets typically show tighter bid-ask gaps and faster execution.

This market resolves around Jul 3, 2026, once the actual lowest temperature recorded in Chicago on July 2, 2026 is confirmed and verifiable from credible public sources. The outcome is determined by matching the recorded low against the predefined temperature brackets offered in the market. Traders holding shares in the bracket containing the verified low receive their payout; all other outcomes expire worthless. Resolution typically occurs within hours of the close of the trading day, pending official temperature data publication.

Major weather pattern shifts, seasonal climate anomalies, and updated long-range forecasts from meteorological agencies can significantly move this market. El Niño or La Niña conditions, Arctic air outbreaks, or heat dome formation in early July 2026 would all influence trader expectations. Real-time model updates from the National Weather Service, European Centre for Medium-Range Weather Forecasts, or other authoritative sources often trigger repricing. As July 2 approaches, short-range deterministic forecasts become more reliable, typically narrowing the range of plausible outcomes and concentrating trading activity around the most probable temperature brackets.