Lowest temperature in Boston on Jun 22, 2026?

Prediction market odds reflect the collective judgment of traders betting real money on outcomes, whereas traditional weather analysts rely on numerical models and historical data. This market aggregates dispersed information from participants with financial incentives to forecast accurately, often capturing nuances that single-model forecasts may miss. Comparing this market's implied probabilities to published meteorological forecasts can reveal where traders see higher or lower risk than official predictions. Both approaches have merit; markets excel at synthesizing diverse viewpoints, while institutional forecasters bring specialized expertise and computational resources.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell shares representing 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's price reflects the collective willingness of buyers and sellers to transact at that level, with tighter spreads indicating higher confidence and liquidity. As new weather data emerges or the date draws closer, prices adjust dynamically. You can place limit or market orders to enter or exit positions, and the platform matches buyers and sellers in real time.

This market resolves around Jun 23, 2026, once June 22, 2026 has passed and the lowest temperature recorded in Boston that day is verifiable from credible public sources. The outcome is determined by the actual low temperature reported by official weather stations serving the Boston area. Traders holding positions aligned with the final temperature outcome receive payouts proportional to their stake, while those on the wrong side of the market realize losses. Resolution is automatic once the data is confirmed and published.

Major weather pattern shifts, seasonal anomalies, and updated climate forecasts can significantly move this market. Long-range weather models released months ahead of June 2026 will influence early pricing, while medium-range forecasts in the weeks before the event typically drive sharper repricing. Broader climate trends, such as persistent heat waves or cold snaps affecting the Northeast, may shift trader expectations. As June approaches, daily forecast updates and real-time atmospheric conditions will create volatility. Historical temperature records for that date and time-of-year comparisons also serve as reference points traders monitor.