Lowest temperature in Dallas on Jun 27, 2026?

Prediction market odds reflect real-money bets from traders who weigh meteorological models, historical climate patterns, and seasonal trends. Analyst forecasts from weather services typically rely on numerical weather prediction models and expert interpretation. This market aggregates dispersed trader knowledge into a single probability, which often differs from any single analyst's point estimate. When professional forecasters and market participants disagree on the likelihood of a sub-72-degree low, the divergence typically signals either new information entering the market or differences in how each group weights available data.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares representing yes or no outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current odds reflect the latest matched trades, with the spread between bid and ask prices indicating liquidity and conviction. As traders submit orders based on their forecasts of June 27 conditions in Dallas, the price adjusts in real time. Higher prices indicate stronger market belief that the low will dip below 72 degrees, while lower prices suggest traders expect temperatures to remain above that threshold.

This market resolves around Jun 28, 2026, once the actual low temperature for June 27, 2026 in Dallas is recorded and verified. The outcome is confirmed against credible public weather data sources that document the day's minimum temperature. Traders holding shares in the winning outcome receive their payout based on the final price at which the market settled. Until that verification occurs, the market remains open to trading, allowing participants to adjust positions as new forecasts and real-time conditions emerge.

Major weather pattern shifts, updated seasonal forecasts, and long-range climate models will drive significant price moves in this market. Announcements of heat waves or cold fronts expected to reach Texas in late June could swing odds sharply. Historical temperature records for that date and time of year provide a baseline that traders reference. Real-time atmospheric data closer to June 27 will increasingly influence prices as the event date nears. Unusual jet-stream configurations or tropical activity could also alter expectations, causing traders to reassess the probability of a below-72-degree low.