Lowest temperature in Phoenix on Jun 16, 2026?

Prediction market odds often diverge from traditional weather analyst forecasts because they incorporate real-time trader positioning and collective intelligence. While meteorologists issue deterministic point forecasts or narrow confidence bands, this market allows participants to express a full probability distribution across temperature ranges. Comparing the implied odds here to published seasonal outlooks from the National Weather Service or private forecasters can reveal where the crowd expects surprises. Over time, prediction markets have proven competitive with or superior to expert consensus on weather outcomes, particularly when liquidity is robust.

On Kalshi, this market is priced through an automated market maker that converts trader buy and sell orders into real-time odds for each temperature outcome bucket. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Prices move continuously as new information arrives and participants adjust their positions. The platform displays the implied probability for each outcome range, allowing traders to compare their own forecast against the market consensus. Tighter spreads between bid and ask prices typically indicate higher confidence or greater liquidity in that outcome range.

This market resolves around Jun 17, 2026, once the lowest temperature recorded in Phoenix on June 16, 2026 is verified against credible public sources. The outcome is determined by the official temperature reading for that date, confirmed through established meteorological reporting. Traders holding positions aligned with the actual low temperature receive their payout once the event is finalized and the market settles. No further trading occurs after the resolution window closes.

Major weather pattern shifts, updated seasonal climate forecasts, and real-time atmospheric data releases can all drive significant price movement in this market. El Niño or La Niña transitions, changes in the Arctic Oscillation, and anomalous jet stream positioning weeks before June 2026 may alter trader expectations. As the event date approaches, short-range weather models become more reliable and can trigger sharp repricing. Additionally, historical temperature records for Phoenix in mid-June and any unusual heat or cold events in the preceding months may influence how traders assess the probability of extreme outcomes.