Highest temperature in New Orleans on Jun 21, 2026?

Prediction market odds reflect real-money incentives, so traders who misjudge the forecast lose money—creating pressure for accuracy. Meteorologists and climate analysts rely on physics-based models and historical data, but their public forecasts are often issued months in advance and may not incorporate late-breaking atmospheric patterns. This market aggregates the collective judgment of many participants trading with their own capital, often converging on probabilities that differ meaningfully from single-source analyst statements. Comparing the two can reveal where expert consensus diverges from market-implied expectations, highlighting areas of genuine uncertainty about June 21 conditions in New Orleans.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit buy and sell orders at their chosen odds. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Shares represent fractional claims on each temperature outcome, and the market price reflects the last executed trade. As new information arrives—updated seasonal forecasts, climate indices, or real-time weather data—traders adjust their bids and offers, moving the price up or down. This dynamic pricing ensures the market continuously incorporates available evidence about the likelihood of different temperature ranges on the settlement date.

This market resolves around Jun 22, 2026, after June 21, 2026 has passed. The outcome is determined by the highest temperature recorded in New Orleans on that date, verified against credible public sources. Once the event is observable and confirmed, the market settles according to which temperature range or threshold the actual high falls into. Traders holding shares in the correct outcome receive their payout, while incorrect positions expire worthless. The resolution is objective and based on recorded meteorological data.

Major climate oscillations—such as shifts in the Atlantic Multidecadal Oscillation, El Niño intensity, or the North Atlantic Oscillation—can alter seasonal temperature patterns and shift market odds significantly. Updated long-range weather forecasts from NOAA or international meteorological centers will influence trader positioning as June 2026 approaches. Real-time atmospheric conditions in late spring 2026, including heat domes, tropical systems, or unusual jet-stream configurations, will drive sharp repricing in the final weeks. Additionally, any revisions to historical temperature records or changes in how New Orleans weather is officially measured could prompt recalibration of market expectations.