Lowest temperature in Houston on Jun 13, 2026?

Prediction market odds reflect real-money commitments from traders and often diverge meaningfully from traditional weather forecasts and analyst models. While meteorologists rely on atmospheric data and historical patterns to project conditions months ahead, this market aggregates the collective judgment of participants who have financial incentive to be accurate. Comparing current odds to published seasonal forecasts and long-range weather outlooks can reveal where the crowd sees risk differently than official models. Such gaps sometimes highlight uncertainty that traditional forecasters downplay or consensus views that markets price differently.

On Kalshi, this market is priced through an 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 outcome has a price between 0 and 100 cents, reflecting the implied probability that the lowest temperature will fall into that range. Traders profit by correctly predicting which outcome occurs; prices adjust dynamically as supply and demand shift. The platform's matching engine ensures transparent price discovery, and all trades settle based on the verified outcome once the event concludes.

This market resolves around Jun 14, 2026, after June 13, 2026 has passed and the lowest temperature for that day in Houston is confirmed. The outcome is determined by verifying the actual minimum temperature against credible public sources, ensuring an objective and auditable settlement. Once the data is finalized and the winning outcome is declared, all positions are settled and traders receive payouts based on their holdings. The resolution process is designed to be transparent and dispute-resistant.

Several factors could shift odds in this market over the coming months. Updated seasonal climate forecasts, El Niño or La Niña patterns, and long-range weather models may influence trader positioning as new data emerges. Major weather events or anomalies in the months leading up to June could reshape expectations about typical summer temperatures in Houston. Additionally, as June 13, 2026 approaches, near-term weather forecasts will become more precise and reliable, likely triggering repricing as uncertainty narrows. Real-money traders typically increase activity as the event date nears and forecasts improve.