Highest temperature in Phoenix on Jun 22, 2026?

Prediction market odds reflect real-money commitments from traders and often diverge from traditional weather forecasts and analyst models. While meteorologists rely on physics-based simulations and historical data, this market prices in trader conviction and incorporates late-breaking information as the event approaches. Comparing the implied probability here to published forecasts from the National Weather Service or climate analysts can reveal where the crowd sees risk differently. Markets tend to sharpen accuracy closer to the resolution date as uncertainty narrows and new data emerges.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares corresponding to different temperature ranges. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome contract trades independently, and the price of a share reflects the market's collective belief in that outcome's probability. Liquidity and trading volume determine how easily you can enter or exit a position. As new information arrives—weather models update, seasonal patterns shift—traders adjust their bids and offers, moving prices in real time.

This market resolves around Jun 23, 2026, once the highest temperature recorded in Phoenix on June 22, 2026 is verified against credible public sources. The outcome is determined by the actual peak temperature reading from that day, confirmed through official meteorological records. All positions settle based on which outcome range the final temperature falls into. Resolution occurs shortly after the close of the trading day to allow time for data verification and final confirmation.

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, atmospheric pressure systems, and historical heat waves in the Southwest all influence trader expectations. As June 2026 approaches, weekly and daily forecasts become more precise, typically triggering sharp repricing. Real-time developments—drought conditions, urban heat island effects, or unexpected weather events—also drive trading activity and shift implied probabilities in this market.