Lowest temperature in New Orleans on May 31, 2026?

Prediction market odds on Kalshi reflect real-money trader conviction and often incorporate meteorological forecasts, historical climate data, and seasonal patterns for New Orleans in late May. Unlike static analyst predictions, market odds update continuously as new weather models and information emerge. Traders pricing this event typically weigh long-range climate normals, La Niña or El Niño conditions, and atmospheric patterns. Comparing Kalshi odds to published meteorological forecasts and historical May temperature records can reveal whether the market is pricing in warmer or cooler conditions than traditional models suggest.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the lowest temperature in New Orleans on May 31 is priced as binary or range-based contracts, with each outcome reflecting the probability traders assign to specific temperature thresholds. Prices move based on order flow, new meteorological data, and shifts in climate expectations. Kalshi's order book shows real-time bid-ask spreads, allowing traders to enter positions at varying confidence levels. As May 31 approaches, prices typically narrow and converge toward the actual temperature outcome, with volatility potentially spiking if significant weather pattern changes or model updates occur.

The market resolves on Jun 1, 2026, after the lowest temperature recorded in New Orleans on May 31, 2026 is finalized. Resolution is determined by official temperature data from recognized meteorological sources, ensuring an objective and verifiable outcome. Traders should monitor the resolution criteria specified by Kalshi to understand exactly which temperature station and measurement method will be used. Once the official low is confirmed, the market settles and payouts are distributed to holders of the winning outcome.

Major weather pattern shifts, updated seasonal forecasts, and long-range climate models will drive price movement in this market. Significant changes in ocean temperatures, tropical storm activity, or atmospheric pressure systems over the Gulf of Mexico could alter expectations for May 31 conditions. Historical analogues—years with similar climate patterns—may also influence trader positioning. As May approaches, medium-range weather forecasts become more reliable and will likely trigger sharp repricing. Additionally, any unusual spring heat waves or cold snaps in the weeks prior could shift market sentiment about late-May temperatures in New Orleans.