Lowest temperature in New York City on Jun 30, 2026?

Prediction market odds reflect real-money bets from traders and often diverge from traditional weather forecasts issued by meteorologists and government agencies. While analysts rely on historical climate data and atmospheric models, this market incorporates trader conviction and forward-looking sentiment. In many cases, prediction markets have proven competitive with or more accurate than expert forecasts over medium-term horizons. Comparing the implied probabilities here to published seasonal outlooks for late June can reveal where the crowd sees upside or downside risk relative to official guidance.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell shares corresponding to different temperature ranges. 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 bid-ask spread reflects the market's confidence in that range. Prices range from 0 to 100 cents, with higher prices indicating greater perceived likelihood. As new information emerges—seasonal forecasts, climate patterns, or historical precedent—traders adjust their positions, moving prices to reflect updated expectations about the lowest temperature on that June day.

This market resolves around Jul 1, 2026, once the event has occurred and the lowest temperature for June 30, 2026 in New York City is verifiable from credible public sources. The outcome is determined by the actual recorded low temperature on that date, confirmed through official weather data. Traders holding shares in the correct outcome range at resolution receive their payout. Until that date, prices will fluctuate as new seasonal data, climate signals, and real-time forecasts influence trader positioning.

Several factors could shift prices in this market over the coming months. Seasonal climate patterns and El Niño or La Niña conditions may influence summer temperatures across the Northeast. Major weather events or heat waves earlier in June could signal hotter conditions by month-end. Long-range forecasts released closer to the event date will provide more precise guidance. Additionally, historical temperature records and anomalies for late June in New York City may prompt traders to reassess their positions. Real-time meteorological updates in the final weeks will likely drive the most significant repricing.