Lowest temperature in Houston on Jun 5, 2026?

Prediction market odds on Kalshi reflect real-money traders' collective assessment of Houston's June 5, 2026 low temperature. These odds can be compared to traditional meteorological forecasts and climate models issued by the National Weather Service or private weather services. Prediction markets often incorporate analyst expectations but may diverge based on trader sentiment, historical patterns, and emerging atmospheric signals. Comparing the two reveals whether markets are pricing in more or less extreme outcomes than official forecasts suggest.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the lowest temperature in Houston on June 5, 2026 is priced through binary or range-based outcome contracts that traders buy and sell based on their conviction about the actual low. Each contract reflects the market's probability estimate for specific temperature bands. Prices move as new weather forecasts, seasonal patterns, and real-time atmospheric data influence trader positioning. The bid-ask spread and trading volume indicate market liquidity and confidence in the pricing around that date's expected minimum temperature.

The market resolves on Jun 6, 2026, after the close of trading and once the official lowest temperature for Houston on June 5, 2026 is recorded. Resolution is determined by verified meteorological data from an authoritative weather source, ensuring an objective and auditable outcome. Traders holding positions aligned with the actual low temperature receive payouts, while those on the opposite side settle at a loss. The timing allows sufficient data collection and verification before final settlement.

Major signals include updated seasonal forecasts, large-scale weather pattern shifts (such as cold fronts or high-pressure systems), historical temperature anomalies for early June in Houston, and real-time atmospheric models as June 2026 approaches. Climate oscillations like the El Niño or La Niña state can influence regional temperatures months in advance. Traders will also react to any unusual heat or cold events in the weeks leading up to June 5, which may alter expectations for that specific date. Continuous monitoring of meteorological updates drives market repricing.