Highest temperature in Phoenix on Jun 19, 2026?

Prediction market odds reflect real-money commitments from traders who profit or lose based on accuracy, creating a financial incentive to forecast correctly. This differs from traditional analyst forecasts, which may rely on models, historical data, or institutional opinion without direct financial stakes. Markets often incorporate analyst views and meteorological models, but the odds you see here represent a decentralized consensus price rather than a single institution's projection. When meteorologists and traders disagree significantly, the market price typically adjusts as new information emerges, making it a dynamic alternative to static forecasts.

On Kalshi, this market is priced through a continuous order-book mechanism where buyers and sellers submit bids and offers on temperature outcome contracts. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each contract reflects supply and demand; as more traders expect higher temperatures, those contracts rise in value, and vice versa. Traders can enter or exit positions at any time before the market closes, with the bid-ask spread representing the current liquidity and disagreement between participants. Real-time price discovery ensures the odds you see incorporate the latest available information and trader sentiment.

This market resolves around Jun 20, 2026, once the highest temperature recorded in Phoenix on June 19, 2026 is verified and confirmed. The outcome is determined by comparing actual weather data against the temperature thresholds defined in the market contracts. Resolution occurs after the event date passes and credible public reporting confirms the final temperature reading. Traders' positions settle based on whether their predicted outcome matches the verified result, with payouts distributed accordingly.

Major weather pattern shifts, seasonal forecasts, and climate anomalies can significantly influence trader expectations and move prices in this market. Long-range meteorological models updated by agencies like NOAA may show changes in heat patterns or atmospheric conditions affecting the Southwest. Real-time developments such as heat waves, cold fronts, or unusual jet-stream behavior closer to June 2026 will likely trigger rapid repricing. Additionally, historical temperature records for Phoenix in mid-June and any emerging climate trends could prompt traders to adjust their positions, causing volatility in the odds as the event date approaches.