Lowest temperature in Phoenix on Jun 4, 2026?

Prediction market odds on Kalshi for Phoenix's lowest temperature on June 4, 2026 reflect real-money trader conviction and often diverge from traditional weather analyst forecasts. While meteorologists rely on numerical weather models and historical climate data, prediction markets incorporate diverse trader perspectives and incentivize accuracy through financial stakes. Comparing Kalshi implied probabilities to National Weather Service forecasts or private meteorological services can reveal where market participants expect conditions to differ from baseline model predictions, offering a complementary view of temperature expectations.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the lowest temperature in Phoenix on June 4, 2026 is priced as binary or range-based contracts reflecting trader estimates of the daily minimum. Prices move based on supply and demand as traders buy or sell shares tied to specific temperature thresholds. As new weather data, seasonal patterns, and real-time atmospheric conditions emerge, contract prices adjust to reflect updated expectations. Kalshi's order book displays the bid-ask spread, allowing traders to execute at current market rates or place limit orders awaiting execution.

The market resolves on Jun 5, 2026, after the lowest temperature for June 4, 2026 in Phoenix has been recorded and verified. Resolution is determined by official temperature data, typically sourced from the National Weather Service or designated weather stations serving the Phoenix metropolitan area. Once the minimum temperature is confirmed, the outcome is locked in and contracts settle according to which temperature range or threshold was hit. Traders holding the correct outcome receive their payout.

Several factors can shift market odds for Phoenix's lowest temperature on June 4, 2026. Major weather pattern changes, such as high-pressure systems or cold fronts moving into the Southwest, will influence trader expectations. Updated seasonal forecasts from the National Weather Service and long-range climate models may trigger repricing. Real-time atmospheric data, including upper-level wind patterns and moisture levels, becomes more predictive as June approaches. Historical temperature records for that date and broader heat-wave or cooling trends in the region also drive trading activity and price movement.