Lowest temperature in Washington DC on Jun 26, 2026?

Prediction market odds often diverge from traditional weather forecasts because they aggregate real-time trader conviction rather than relying on a single model or analyst consensus. While meteorologists publish deterministic low-temperature predictions weeks in advance, this market reflects continuous updates as traders incorporate new data, adjust for model uncertainty, and price in tail risks. Markets tend to be more cautious about extreme outcomes and may shift sharply if a significant weather system develops. Comparing this market's implied probabilities to National Weather Service or private forecaster guidance can reveal where traders see underpriced or overpriced scenarios.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares tied to specific temperature ranges or outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome reflects supply and demand; as more traders expect a particular low temperature, that outcome's price rises, and vice versa. Shares are fractional and priced between 0 and 100 cents, with the sum of all outcome prices equaling one dollar. This structure ensures transparent, real-time pricing and allows you to enter or exit positions at any time before the market closes.

This market resolves around Jun 27, 2026, after June 26, 2026 has concluded. The outcome is determined by the verified lowest temperature recorded in Washington DC on that date, confirmed once the event is observable from credible public reporting. Traders holding shares in the correct outcome receive their payout once the result is finalized and the market settles. The exact temperature threshold for each outcome bucket is specified in the market's terms, ensuring all participants know the resolution criteria in advance.

Major weather pattern shifts, updated seasonal forecasts, and atmospheric anomalies can significantly move this market. Tropical systems, polar vortex disruptions, or unexpected heat waves in early summer would alter trader expectations for a cooler or warmer low. Climate indices like the North Atlantic Oscillation or soil moisture anomalies may influence medium-range forecasts. As June 2026 approaches, deterministic model runs become more reliable, typically tightening the market around a narrower range. Real-time conditions in the days immediately before June 26 will drive the final repricing as traders lock in their final positions.