Lowest temperature in Phoenix on Jul 1, 2026?

Prediction market odds reflect real-money incentives, meaning traders who misjudge the outcome face direct financial loss. This contrasts with traditional analyst forecasts, which often lack such accountability. In this market, odds tend to incorporate a broader range of data sources—historical temperature patterns, climate models, and seasonal anomalies—aggregated through the trading process. While meteorologists may issue point estimates or confidence intervals, market prices represent a probabilistic consensus weighted by trader conviction and capital allocation, often revealing nuances that single-source forecasts might miss.

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. Each outcome has its own contract, and the price of each reflects the probability traders assign to that range occurring. As new information arrives—updated climate data, seasonal shifts, or real-time weather developments—traders adjust their positions, moving prices up or down. The continuous two-sided market ensures prices remain responsive to changing expectations.

This market resolves around Jul 2, 2026, after July 1, 2026 has passed and the lowest temperature recorded in Phoenix that day is confirmed. The outcome is determined by verified data from credible public weather sources, ensuring an objective and transparent settlement. Once the official low temperature is published and matched to the corresponding outcome contract, positions are settled and traders receive payouts based on their holdings. The resolution process prioritizes accuracy and eliminates ambiguity by relying on widely recognized meteorological records.

Several factors could shift odds significantly before July 2026. Long-range climate forecasts, El Niño or La Niña patterns, and seasonal anomalies will influence trader expectations. As the event date approaches, updated weather models and real-time atmospheric data become more reliable, often triggering sharp repricing. Extreme heat waves or unusual cooling trends in prior months may also signal changes to typical July conditions. Major climate events or shifts in solar activity could move the market, as traders incorporate new information into their probability assessments.