Lowest temperature in Phoenix on Jun 28, 2026?

Prediction market odds reflect real-money trader consensus and often diverge from traditional weather forecasts because markets incorporate a broader range of information and incentivize accuracy through financial stakes. While meteorologists issue deterministic point forecasts or narrow ranges, this market prices uncertainty across multiple temperature bands, allowing traders to express nuanced views on tail risks and variability. Markets tend to update faster than seasonal models when new data emerges, though both approaches rely on similar underlying climate and atmospheric science. Comparing the implied probabilities here to National Weather Service guidance or long-range forecasts can reveal where traders see asymmetric risk relative to official predictions.

On Kalshi, this market is priced through a continuous limit-order book where traders buy and sell shares corresponding to different temperature outcomes. 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 collective probability assigned by the market to that temperature range occurring. Traders profit by correctly predicting which range the actual low will fall into, with payouts determined by the final verified temperature. The bid-ask spread and order depth visible on the book indicate liquidity and conviction around each outcome, helping participants gauge where the market sees the most uncertainty.

This market resolves around Jun 29, 2026, once the lowest temperature recorded in Phoenix on June 28, 2026 is verified against credible public sources. The outcome is determined by the actual daily low temperature as reported by official weather stations serving the Phoenix area. Traders holding shares in the outcome range that contains the verified temperature receive their payout, while other positions expire worthless. Resolution typically occurs within hours of the market close date once the final temperature data is confirmed and published.

Major weather pattern shifts, seasonal climate anomalies, and long-range forecast updates from meteorological agencies can significantly move this market. El Niño or La Niña conditions, upper-atmosphere circulation changes, and historical heat waves or cool spells in late June all influence trader expectations. As June 2026 approaches, medium-range forecasts become more reliable and typically trigger repricing. Real-time atmospheric data, solar activity cycles, and any unusual weather events in the months leading up to the event will also shape market sentiment and odds across temperature ranges.