Lowest temperature in Miami on Jun 20, 2026?

Prediction market odds aggregate real-time trader behavior and reflect collective expectations about Miami's temperature low on the specified date. Analyst forecasts, by contrast, typically rely on meteorological models and historical climate data published by weather services. This market often incorporates broader information—including long-range seasonal patterns and recent climate trends—that may diverge from traditional weather forecasts. Comparing the two can reveal where traders see upside or downside risk relative to expert consensus.

On Kalshi, this market is priced through a continuous 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. Prices move in real time as new orders execute, with the spread between buy and sell prices reflecting market liquidity and uncertainty. Higher prices indicate traders view that outcome as more likely, while lower prices suggest lower perceived probability. The platform's matching engine ensures transparent, fair-value discovery throughout the trading period.

This market resolves around Jun 21, 2026, once June 20, 2026 has passed and the actual low temperature in Miami is verifiable from credible public sources. The outcome is determined by the recorded low temperature on that date, measured in degrees Fahrenheit. Traders' positions settle based on which outcome bracket or threshold the verified temperature falls into, as defined by the market's outcome categories at launch.

Several factors may shift odds in this market: updated seasonal climate forecasts, El Niño or La Niña patterns, historical temperature anomalies for Miami in June, and real-time weather model updates as 2026 approaches. Major climate events or shifts in ocean temperatures could alter long-range expectations. Additionally, as June 20 draws closer, short-range meteorological forecasts will become more precise, likely tightening the range of expected outcomes and reducing uncertainty. Traders will continuously reprice based on the best available data.