Lowest temperature in Houston on Jun 21, 2026?

Prediction market odds reflect real-money commitments from traders who profit when their forecasts prove accurate, creating a financial incentive for precision. Analyst forecasts and meteorological models, by contrast, are typically published as point estimates or ranges without direct financial stakes. This market aggregates dispersed information from thousands of participants, often revealing consensus or disagreement that may diverge from any single expert's published forecast. Comparing the two can highlight where professional meteorologists and market participants align or diverge on the likely temperature range for that date.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares representing different temperature outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each share pays out a fixed amount if its outcome occurs, and the current bid-ask spread reflects the market's uncertainty around the lowest temperature. As new information arrives—updated weather models, seasonal patterns, or real-time atmospheric data—traders adjust their positions, moving prices up or down to reflect changing probabilities.

This market resolves around Jun 22, 2026, once June 21, 2026 has passed and the lowest temperature recorded in Houston that day is confirmed. The outcome is determined by verifying the actual low temperature against credible public sources, ensuring all traders receive a final settlement based on real-world data. Until that date, prices will fluctuate as traders update their views based on seasonal forecasts, climate patterns, and any emerging weather signals.

Major signals include updated seasonal climate forecasts, El Niño or La Niña patterns affecting North American weather, and long-range meteorological models released closer to June 2026. Real-time atmospheric conditions in the weeks leading up to the date will drive sharp repricing, as will any unusual heat waves or cold fronts predicted for that period. Historical temperature records for Houston in late June, shifts in solar activity, and broader climate trends could also influence trader positioning and market odds throughout the contract's lifetime.