Lowest temperature in New Orleans on May 29, 2026?

Prediction market odds on Kalshi reflect aggregated trader expectations and often diverge from single-point meteorological forecasts. While traditional weather models issued by the National Weather Service provide deterministic low-temperature predictions, prediction markets incorporate uncertainty and tail-risk pricing. Comparing the implied probability from Kalshi against the confidence intervals in official forecasts can reveal whether traders are pricing in more or less downside risk than meteorologists expect. This comparison is valuable for understanding market-based climate risk assessment versus institutional weather analysis.

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 29, 2026, is priced as a set of binary contracts, each representing a specific temperature threshold or range. Traders buy or sell shares at prices between 0 and 100 cents, where the price reflects the implied probability of that outcome occurring. As new weather data, seasonal patterns, and climate signals emerge, contract prices adjust in real time. The most actively traded contracts typically represent the most likely temperature ranges, while extreme cold outcomes trade at lower prices, reflecting their lower perceived probability.

The market resolves on May 30, 2026, after the close of trading on May 29, 2026. Resolution is determined by the actual lowest temperature recorded in New Orleans on that calendar day. Official temperature data from a designated weather station or meteorological authority serves as the reference point. Once the day concludes and the final low temperature is confirmed, the contract outcomes are settled based on which temperature threshold or range bracket the actual reading falls into. Traders holding the correct outcome receive their payout.

Several factors could shift odds for the lowest temperature in New Orleans on May 29, 2026. Major weather pattern changes, such as the development of a cold front or high-pressure system, would trigger immediate repricing. Long-range climate forecasts and seasonal outlooks released by NOAA or other meteorological agencies could influence trader positioning. Historical temperature records and anomalies for late May in New Orleans provide context for extreme outcomes. Additionally, broader climate trends, El Niño or La Niña conditions, and any unusual atmospheric circulation patterns in the weeks leading up to May 29 could move market prices as new information becomes available.