Lowest temperature in Dallas on Jun 1, 2026?

Prediction market odds on Kalshi reflect real-money trader conviction and aggregate information from weather models, historical patterns, and seasonal trends. Compare these implied probabilities against consensus forecasts from meteorological agencies and long-range weather analysts. Prediction markets often incorporate faster-moving data and trader expertise, while traditional forecasts rely on established climate models. Divergences between the two can signal either market inefficiency or emerging weather signals that analysts have not yet fully priced in.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the lowest temperature in Dallas on June 1, 2026 is priced as a set of binary or range-based contracts, each representing a specific temperature threshold or band. Traders buy and sell shares at prices between 0 and 100 cents, with the price reflecting the implied probability of that outcome occurring. Volume and bid-ask spreads vary by contract, and prices update continuously as new information about seasonal weather patterns and atmospheric conditions emerges closer to the resolution date.

The market resolves on Jun 2, 2026, after the lowest temperature reading for Dallas on June 1, 2026 has been officially recorded. The outcome is determined by the actual minimum temperature observed on that date, measured according to standard meteorological protocols. Once the official data is published by the relevant weather authority, the market settles to the corresponding outcome contract, and traders receive payouts based on their positions.

Key drivers include seasonal climate patterns, El Niño or La Niña conditions, atmospheric pressure systems, and jet stream positioning in early June 2026. Major weather events such as cold fronts, tropical systems, or heat domes can shift expectations significantly. Long-range forecast updates from NOAA and other meteorological agencies will influence trader positioning. Historical temperature records for early June in Dallas and broader climate anomalies will also inform market pricing as the event date approaches and real-time weather data becomes available.