Lowest temperature in New York City on Jul 11, 2026?

Prediction market odds reflect real-money incentives that often diverge from traditional meteorological forecasts. While weather analysts rely on numerical models and historical data, traders in this market incorporate broader information—including long-range climate patterns, urban heat effects, and emerging atmospheric signals—into their pricing. The gap between market odds and official forecasts can reveal where professional meteorologists and decentralized traders disagree on tail risks or seasonal anomalies for that specific date.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares corresponding to temperature ranges. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome contract reflects the probability traders assign to the low temperature falling within a defined band, with prices ranging from near-zero to near-100 cents per share. As new weather information arrives or forecasts shift, traders adjust their bids and offers, causing the market price to move in real time and signal updated consensus.

This market resolves around Jul 12, 2026, once July 11, 2026 has passed and the actual low temperature is verifiable from credible public sources. The outcome is determined by comparing recorded temperature data against the predefined ranges offered in the market. Traders who correctly predicted the temperature band receive their payout, while those on the wrong side of the outcome forfeit their stake.

Major weather pattern shifts, updated seasonal forecasts, and anomalous atmospheric conditions can all drive significant price swings. El Niño or La Niña developments, jet stream positioning, and urban heat island intensification are key catalysts. Additionally, historical temperature records for that date, multi-week forecast updates from meteorological agencies, and even broader climate trends may prompt traders to reassess their positions and adjust market odds closer to the resolution date.