Lowest temperature in New Orleans on Jun 19, 2026?

Prediction market odds reflect real-money incentives that often reveal gaps between trader expectations and published analyst forecasts. While meteorologists and climate models provide deterministic or probabilistic temperature predictions, this market aggregates the views of many participants with financial skin in the game. Traders may price in factors—such as climate variability, historical June patterns for New Orleans, or emerging atmospheric signals—that analysts weight differently or haven't yet incorporated. Comparing the market's implied probabilities to official forecasts can highlight where consensus diverges and where uncertainty concentrates.

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 a share reflects the market's collective belief in that outcome's likelihood. As traders buy and sell, prices adjust in real time, and the implied probability of each temperature range is derived from the current bid-ask spread and recent trade volume. This continuous price discovery process ensures that odds remain responsive to new information.

This market resolves around Jun 20, 2026, once the lowest temperature recorded in New Orleans on June 19, 2026 is verified and confirmed. The outcome is determined by comparing actual meteorological data against the predefined temperature brackets offered in the market. Winning shares are paid out based on which bracket the verified low temperature falls into, with all other outcomes expiring worthless. Resolution occurs after the event date and official data become available from credible public sources.

Several factors could shift odds in this market: seasonal climate forecasts and long-range models updated closer to June 2026, historical temperature anomalies for New Orleans, broader atmospheric patterns such as El Niño or La Niña conditions, and any unusual weather events that alter expectations for early summer. Real-time weather updates in the weeks leading up to June 19 will likely trigger sharp repricing. Additionally, if climate data or regional weather patterns show unexpected trends, traders may rapidly adjust their positions, causing significant swings in implied probabilities across temperature ranges.