Lowest temperature in Boston on Jun 9, 2026?

Prediction market odds on Kalshi reflect aggregated trader expectations about Boston's lowest temperature on June 9, 2026, and often diverge from traditional meteorological forecasts. While weather analysts issue point estimates and confidence intervals based on atmospheric models, prediction markets price in broader uncertainty and real-time information flow. Comparing Kalshi implied probabilities to National Weather Service or private meteorology firm forecasts can reveal whether traders are pricing in tail risks or consensus outcomes that analysts may underweight or overweight.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the lowest temperature in Boston on June 9, 2026 is priced as a set of binary or range-based contracts, each corresponding to a specific temperature threshold or band. Traders buy and sell shares reflecting their belief about whether the actual low will fall within or outside that range. The price of each contract—typically between 0 and 100 cents—directly represents the market's implied probability. As new weather models update or atmospheric conditions shift, contract prices adjust in real time, allowing traders to enter or exit positions based on changing conviction.

The market resolves on Jun 10, 2026. Resolution is determined by the actual lowest temperature recorded in Boston on June 9, 2026. The specific measurement source and methodology—such as which weather station's official reading is used—are defined in the market's terms. Once the date passes and the low temperature is confirmed, the outcome is locked in and all contracts settle according to whether the realized temperature fell within or outside the specified ranges or thresholds.

Several factors can shift market odds for Boston's June 9 low temperature. Updated seasonal weather forecasts, particularly from the National Weather Service and European or American model ensembles, often trigger repricing as confidence in temperature patterns changes. Major atmospheric patterns—such as the position of high or low pressure systems, jet stream configuration, and tropical activity—influence early-summer conditions in the Northeast. Anomalies in sea surface temperature and soil moisture can also affect local overnight lows. As June 9 approaches, short-range forecasts become more precise, typically narrowing the range of plausible outcomes and concentrating trader positioning.