Lowest temperature in Boston on Jul 11, 2026?

Prediction market odds reflect the collective judgment of traders with real money at stake, whereas traditional weather forecasts rely on meteorological models and expert analysis. This market prices in both historical climate patterns and near-term atmospheric conditions, but traders may weight recent data or seasonal trends differently than official forecasters. Over time, prediction markets often converge toward consensus as new information arrives. Comparing this market's implied probabilities to published forecasts from the National Weather Service or other meteorological agencies can reveal where traders see upside or downside risk relative to expert opinion.

On Kalshi, this market is priced through a continuous order book where traders submit bids and asks for shares in each temperature outcome. 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 trades execute, reflecting the marginal cost of buying or selling exposure to a particular temperature range. Each outcome is treated as a separate contract, so you can isolate your view to a specific range or hedge across multiple outcomes. The platform displays the spread between bid and ask, giving you transparency into liquidity and execution costs at any moment.

This market resolves around Jul 12, 2026, once July 11, 2026 has passed and the lowest temperature recorded in Boston that day is confirmed. The outcome is determined by verified data from credible public weather reporting sources. Traders holding shares in the outcome range that matches the actual low temperature receive their payout, while other positions expire worthless. The resolution process is automated once the official temperature reading is available, ensuring a fair and transparent settlement for all participants.

Major weather pattern shifts, seasonal climate anomalies, and updated long-range forecasts will drive significant price moves in this market. El Niño or La Niña conditions, jet stream positioning, and historical heat or cold waves in early July could all influence trader expectations. As the event date draws closer, short-range meteorological forecasts become more reliable and typically trigger sharp repricing. Breaking news about atmospheric blocking patterns or tropical systems could also reshape odds. Traders often react to both official forecast updates and emerging climate data, so monitoring weather news and seasonal outlooks will help you anticipate market movement.