Lowest temperature in Boston on Jun 25, 2026?

Prediction market odds reflect real-money bets from traders and often incorporate meteorological forecasts, historical climate data, and seasonal patterns. Unlike traditional weather models or analyst reports, this market aggregates dispersed information through price discovery—traders who accurately predict conditions profit, creating incentives for precision. Analyst forecasts tend to be point estimates or confidence intervals, while prediction markets express probability ranges across multiple temperature bands. Comparing the two can reveal where the crowd sees edge cases or where professional meteorology diverges from trader expectations on that June day.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell shares corresponding to different temperature ranges or outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each share represents a claim on a specific outcome; the bid-ask spread reflects the current balance of supply and demand. As new weather data, seasonal forecasts, or climate signals emerge, traders adjust their positions, moving prices up or down. The market price at any moment represents the crowd's collective probability estimate for the lowest temperature on that date in Boston.

This market resolves around Jun 26, 2026, once June 25, 2026 has passed and the day's minimum temperature can be verified from credible public sources. The outcome is determined by the actual lowest temperature recorded in Boston on that date, confirmed through official weather data. Traders' positions settle based on which outcome band or threshold the verified temperature falls into. Resolution typically occurs within hours of the close of the trading day, allowing payouts to be processed promptly.

Major shifts in seasonal forecasts, El Niño or La Niña patterns, and updated climate models can significantly move prices in this market. Unexpected polar vortex activity, jet stream positioning, or atmospheric blocking patterns in early June 2026 would likely trigger sharp repricing. Historical anomalies—such as unseasonable cold snaps or heat waves in the Northeast—can also shift trader expectations. Real-time weather updates closer to the event date, changes in long-range forecasting confidence, and any unusual atmospheric conditions reported by meteorologists will influence how traders adjust their bets on Boston's minimum temperature.