Lowest temperature in New York City on Jun 19, 2026?

Prediction market odds often diverge from traditional analyst forecasts because they reflect real-money incentives and crowd wisdom rather than a single expert opinion. On this market, traders are betting on the actual low temperature, which means their collective pricing incorporates multiple data sources, model disagreements, and uncertainty in ways that a single forecast may not. Analyst predictions tend to be point estimates or narrow ranges, whereas this market prices a full distribution of outcomes. Over time, markets that attract sufficient participation typically converge toward accuracy as traders profit from better information and lose capital on poor predictions.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares corresponding to different temperature outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome contract trades independently, and the price of a share reflects the market's implied probability that the low temperature will fall within that range. Traders can place limit or market orders, and the spread between bid and ask prices tightens as liquidity increases. The platform's matching engine executes trades in real time, so prices adjust instantly as new information arrives or trading interest shifts between outcomes.

This market resolves around Jun 20, 2026, once June 19, 2026 has passed and the actual low temperature for New York City is verifiable from credible public sources. The outcome is determined by the lowest temperature recorded on that date at an official weather station serving the NYC area. Resolution typically occurs within hours of the close of the trading day, and winning shares are credited based on which outcome band the verified temperature falls into. Traders should monitor weather reporting from recognized meteorological authorities to anticipate the likely resolution.

Major weather pattern shifts, seasonal forecasts, and updated climate models will drive significant price movements in this market. Tropical systems, heat waves, or cold fronts affecting the Northeast in mid-June could reshape trader expectations weeks in advance. Real-time weather updates closer to June 19 will have the strongest impact, particularly official forecasts issued 3–7 days before the event. Broader climate anomalies, such as persistent high or low pressure systems, can also influence the market. As the date approaches, intraday weather radar and hourly forecasts will likely trigger sharp repricing as traders refine their bets on the final outcome.