Lowest temperature in New Orleans on Jun 20, 2026?

Prediction market odds often diverge from traditional meteorological forecasts because they incorporate real-time trader behavior, economic incentives, and broader information flows beyond standard weather models. While meteorologists rely on atmospheric data and historical patterns, this market reflects what participants are willing to stake financially on specific temperature outcomes. Over time, prediction markets have demonstrated competitive accuracy against expert forecasts, though they can be more volatile in the days immediately before resolution as new information emerges and positions shift.

On Kalshi, this market is priced through a continuous order-book mechanism where buyers and sellers submit bids and offers for each temperature outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Prices reflect the marginal probability traders assign to each bracket, with tighter spreads typically indicating higher confidence and deeper liquidity. As new weather data or seasonal patterns emerge, traders adjust their positions, causing prices to shift and the implied probabilities to update in real time across all available outcomes.

This market resolves around Jun 21, 2026, once the lowest temperature recorded in New Orleans on June 20, 2026 is confirmed and verifiable from credible public sources. The outcome is determined by comparing the actual low temperature against the predefined brackets offered in the market. Traders who correctly predicted the temperature range receive their winnings, while those on losing positions forfeit their stakes according to Kalshi's standard settlement procedures.

Major atmospheric patterns, tropical weather systems, and seasonal climate anomalies could significantly shift odds in this market. Updated long-range forecasts, El Niño or La Niña conditions, and historical temperature records for mid-June in New Orleans all serve as key signals traders monitor. As June 2026 approaches, short-term weather models become more reliable, typically triggering sharper price movements. Additionally, any unusual climate events or data revisions in the months leading up to the event could prompt traders to reassess their positions and adjust market prices accordingly.