Lowest temperature in Phoenix on Jun 14, 2026?

Prediction market odds reflect real-money commitments from traders and often incorporate a broader range of information than traditional analyst forecasts alone. While meteorologists and climate models provide deterministic predictions, this market aggregates decentralized views and can capture uncertainty, tail risks, and emerging data that individual forecasters may weight differently. Comparing the implied probabilities here to published seasonal outlooks or numerical weather predictions can reveal where the crowd diverges from institutional consensus. Such divergences sometimes highlight overlooked factors or signal early shifts in expectations before official forecasts update.

On Kalshi, this market is priced through an order-book mechanism where traders submit bids and asks for shares tied to specific temperature outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome contract represents a discrete temperature range, and the market price reflects the balance of buy and sell pressure at any given moment. As new information arrives—updated weather models, seasonal data, or historical patterns—traders adjust their positions, moving prices up or down. The spread between bid and ask widens or tightens based on liquidity and conviction, giving you real-time insight into how confident the market is about each outcome.

This market resolves around Jun 15, 2026, once the lowest temperature recorded in Phoenix on June 14, 2026 is verified and confirmed. The outcome is determined by the actual meteorological data from that date, checked against credible public sources to ensure accuracy. Once the event occurs and the temperature is officially recorded, the market settles according to which outcome bracket the verified low falls into. Traders holding shares in the correct outcome receive their payout, while incorrect positions expire worthless.

Several factors can shift prices in this market over the coming months. Updated seasonal climate forecasts, El Niño or La Niña patterns, and long-range weather models will influence trader expectations as June 2026 approaches. Historical temperature records for Phoenix in mid-June provide a baseline, but anomalies—such as unexpected heat waves or cooling trends—can reshape probabilities. As the date draws closer, short-range forecasts become more reliable and typically trigger sharper repricing. Major climate events or shifts in atmospheric conditions in the months leading up to mid-June could also prompt significant trading activity and price movement.