Lowest temperature in Dallas on May 30, 2026?

Prediction market odds on Kalshi reflect real-money trader conviction and often diverge from traditional weather forecasts and meteorologist predictions. While the National Weather Service and private weather models issue probabilistic forecasts based on atmospheric modeling, prediction markets incorporate trader expectations, historical Dallas May patterns, and emerging climate signals. Comparing Kalshi odds to published analyst temperature ranges can reveal where the crowd sees upside or downside risk relative to expert consensus, though both sources use different methodologies and update frequencies.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the lowest temperature outcome for Dallas on May 30, 2026 is priced as a binary or range-based contract where traders buy and sell shares reflecting their belief in specific temperature thresholds. Prices range from 0 to 100 cents, with higher prices indicating greater market confidence in that outcome. Kalshi's order book aggregates buy and sell interest, and the mid-market price at any moment reflects the consensus probability. Traders can enter limit or market orders, and the contract settles based on official temperature data recorded for Dallas on that date.

The market resolves on May 31, 2026, after the close of trading and once the official lowest temperature reading for Dallas on May 30, 2026 is finalized. Resolution hinges on the actual minimum temperature recorded by the designated weather authority for Dallas on that specific date. Traders holding positions in the correct outcome receive their payout, while incorrect positions expire worthless. The exact data source and rounding methodology are specified in the market's terms, ensuring objective and verifiable settlement.

Several factors could shift odds before May 31, 2026. Major weather pattern changes—such as shifts in jet stream positioning, tropical system formation, or high-pressure system strength—will influence trader expectations. Long-range climate forecasts and seasonal outlooks released by NOAA or other meteorological bodies may alter consensus. Historical May temperature records and emerging climate trends also inform positioning. As May 2026 approaches, updated 10-day and extended forecasts will become more precise, potentially triggering sharp repricing. Unusual global weather events or atmospheric anomalies in the months prior could also reshape trader conviction about Dallas's late-May low temperature.