Lowest temperature in Miami on Jun 21, 2026?

Prediction market odds reflect the aggregated beliefs of traders betting real money on the outcome, which often diverges from traditional meteorologist forecasts. While weather analysts publish point estimates and confidence intervals based on numerical models, this market prices uncertainty through supply and demand—traders who believe the low will fall outside consensus bounds can profit by taking the opposite side. Over time, prediction markets have proven competitive with or superior to single-model forecasts because they incorporate diverse data sources and real-time updates from participants with skin in the game.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell shares corresponding to different temperature ranges. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome has a bid-ask spread reflecting the current supply and demand for that temperature bracket. As new weather models release or conditions shift, traders adjust their positions, moving the price. The market price at any moment represents the marginal trader's belief about the probability of each outcome occurring on the specified date.

This market resolves around Jun 22, 2026, after June 21, 2026 has passed and the day's low temperature can be verified. The outcome is determined by the actual recorded minimum temperature in Miami on that date, confirmed once credible public reporting becomes available. Traders holding shares in the outcome bracket that matches the verified low receive their payout, while other positions expire worthless. Resolution timing depends on when official temperature data is published and validated.

Major weather pattern shifts, updated seasonal climate forecasts, and tropical system activity could all move this market significantly. Release of new long-range models from NOAA or international meteorological centers often triggers repricing as traders update their probability estimates. Unusual heat waves or cold snaps in the weeks leading up to June 21 may also shift expectations about Miami's typical summer low. Real-time atmospheric data and any unexpected climate anomalies will likely drive trading volume and price adjustments as the event date approaches.