Lowest temperature in New Orleans on Jun 30, 2026?

Prediction market odds often diverge from traditional weather forecasts because they incorporate real-time trader conviction and risk appetite alongside meteorological models. While meteorologists issue probabilistic forecasts based on atmospheric data, this market reflects what participants are willing to wager, sometimes pricing in tail risks or consensus shifts faster than official updates. Comparing the implied probabilities here to National Weather Service or private forecaster guidance can reveal where market participants see value or disagreement with expert consensus.

On Kalshi, this market is priced through a continuous order book where traders submit bids and asks for shares tied to each temperature outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome reflects supply and demand; as more traders expect a lower temperature, shares in that outcome rise in value. Settlement payouts are typically $1 per correct share, so the current price directly indicates the market's implied probability for that outcome occurring.

This market resolves around Jul 1, 2026, after June 30, 2026 concludes. The outcome is determined by the verified lowest temperature recorded in New Orleans on that date, confirmed once credible public reporting becomes available. Traders holding shares in the outcome bracket matching the actual low receive their payout, while other positions expire worthless.

Major weather pattern shifts, seasonal climate anomalies, and updated long-range forecasts will drive significant price swings in this market. Tropical systems, heat domes, or cold fronts predicted to affect the Gulf Coast in late June could trigger sharp repricing. Additionally, historical temperature records, atmospheric oscillations like the North Atlantic Oscillation, and real-time model consensus updates will influence trader positioning as the event date approaches.