Lowest temperature in New Orleans on Jun 12, 2026?

Prediction market odds often diverge from traditional meteorologist forecasts because they incorporate real-time trader positioning, risk appetite, and forward-looking sentiment rather than relying solely on numerical weather models. While meteorologists issue deterministic or probabilistic forecasts based on atmospheric data, this market reflects what traders collectively believe will occur, sometimes pricing in tail risks or consensus shifts faster than official updates. Comparing the two reveals whether the crowd is more bullish or bearish on extreme cold than expert models suggest for that date.

On Kalshi, this market is priced through an order-book mechanism where traders submit bids and asks for shares tied to specific temperature outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The platform matches buyers and sellers continuously, with the midpoint or last-traded price reflecting the current consensus probability for each outcome band. Prices range from near-zero to near-100, where higher prices indicate stronger trader conviction that the lowest temperature will fall within that bracket on the specified date.

This market resolves around Jun 13, 2026, after June 12, 2026 concludes and the day's lowest temperature is recorded. The outcome is confirmed once the verified temperature reading becomes available from credible public sources. Traders' final payouts depend on which temperature band the actual low falls into, with winning shares paying out in full and losing shares expiring worthless. Resolution is objective and tied to observable meteorological data.

Major weather pattern shifts, seasonal climate anomalies, or updated long-range forecasts from meteorological agencies could significantly move prices in this market. Tropical systems, polar air intrusions, or changes to the jet stream affecting the Gulf Coast region would trigger trader repositioning. Additionally, historical temperature records for early June in New Orleans, climate indices like the North Atlantic Oscillation, and real-time model consensus updates may prompt sharp repricing as the event date approaches and forecasts become more precise.