Lowest temperature in Phoenix on Jun 24, 2026?

Prediction market odds reflect real-money incentives for accuracy, often diverging from traditional weather forecasts and analyst models. While meteorologists rely on physics-based simulations and historical data, traders in this market incorporate their own research, consensus views, and risk appetite into prices. By late June 2026, professional forecasters and seasonal models will have narrowed uncertainty significantly, yet market odds may still differ if traders believe consensus underestimates or overestimates the likelihood of extreme lows. Comparing the two reveals where collective market judgment parts ways with institutional expertise.

On Kalshi, this market is priced through an 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. Prices move as supply and demand shift, with the spread between buy and sell orders reflecting uncertainty and liquidity. Each outcome—say, a low between 95°F and 100°F—trades as a separate contract, and the sum of all outcome probabilities converges toward 100% as the market matures. Tighter spreads typically emerge closer to resolution as new data reduces ambiguity.

This market resolves around Jun 25, 2026, once the lowest temperature recorded in Phoenix on June 24, 2026 is verified and confirmed. The outcome is determined by comparing actual observed temperatures against the predefined ranges offered in the market. Once credible public reporting confirms the day's low, the winning outcome is settled and traders' positions are finalized. No further trading occurs after resolution.

Major weather pattern shifts—such as an unexpected cold front, high-altitude low-pressure system, or anomalous jet-stream positioning—could significantly move prices in this market. Seasonal climate forecasts and updated atmospheric models released in the weeks leading up to June 24 will influence trader expectations. Historical heat records, El Niño or La Niña conditions, and any unusual solar or volcanic activity affecting the upper atmosphere may also sway sentiment. As the date approaches, short-range forecasts become more reliable, typically tightening the odds around the most probable outcome.