Lowest temperature in Boston on Jun 1, 2026?

Prediction market odds on Kalshi reflect real-money trader consensus and often incorporate meteorological forecasts from the National Weather Service and private weather services. While analyst forecasts tend to update gradually as model confidence changes, market prices adjust instantly to new information and trader conviction. Comparing the two reveals whether professional meteorologists and market participants agree on the likely low temperature, or whether traders are pricing in tail risks or seasonal patterns that traditional forecasts may underweight.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the lowest temperature outcome is priced as a set of binary or range-based contracts, each representing a specific temperature threshold or band. Traders buy or sell shares reflecting their belief about whether the actual low will fall within that range. Prices range from near zero to near 100 cents per share, with higher prices indicating stronger market confidence in that outcome. Volume and liquidity vary by contract, and prices converge toward settlement as June 1, 2026 approaches and real-time weather data becomes more certain.

The market resolves on Jun 2, 2026, after the lowest temperature for June 1, 2026 in Boston has been recorded and verified. The outcome is determined by official temperature data from a designated weather station or source, ensuring an objective, auditable settlement. Once the actual low temperature is confirmed, the winning contract is paid out in full and all other contracts expire worthless. This objective resolution mechanism is what allows traders to confidently place bets on weather events.

Major weather pattern shifts, seasonal anomalies, and updated meteorological models will drive price movement. Early-summer cold fronts, changes in jet stream positioning, and sea-surface temperature anomalies in the Atlantic can all influence Boston's minimum temperature. As June 1 approaches, real-time forecasts from the National Weather Service become more precise, and traders will adjust positions accordingly. Additionally, historical climate data and any unusual atmospheric conditions reported in late May will signal whether an unseasonably cold or warm low is likely, moving market odds substantially.