Lowest temperature in Washington DC on Jul 8, 2026?

Prediction market odds reflect real-money bets from traders who profit or lose based on accuracy, creating a financial incentive to incorporate the latest meteorological data and seasonal patterns. Traditional analyst forecasts, by contrast, rely on models and expert judgment but lack that direct market discipline. This market aggregates dispersed knowledge from many participants, often revealing consensus on temperature ranges that professional forecasters may weight differently. Comparing the two can highlight where traders see value or risk that conventional analysis might underweight.

On Kalshi, this market is priced through continuous order matching, where buyers and sellers set bids and asks on specific temperature ranges or outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The platform uses a standard limit-order book model, so prices move as new trades execute and inventory imbalances shift. Traders can place orders at any price level, and the market clears when buy and sell orders meet. This mechanism ensures transparent, real-time price discovery driven entirely by participant supply and demand.

This market resolves around Jul 9, 2026, once the lowest temperature recorded in Washington DC on July 8, 2026 is verified against credible public sources. The outcome is determined by the actual meteorological data reported for that date, with no discretion or adjustment applied. Traders holding positions aligned with the final verified temperature will receive payouts, while those on the wrong side of the outcome will lose their stake. Resolution timing depends on when official data becomes available and is confirmed.

Major shifts in long-range weather forecasts, seasonal climate patterns, and atmospheric indices like the North Atlantic Oscillation or El Niño status could significantly move this market. Real-time updates from the National Weather Service or other meteorological agencies as July 2026 approaches will refine trader expectations. Urban heat island effects, unusual jet stream positioning, or historical temperature anomalies for that date may also influence pricing. As the event date draws closer, short-range forecasts will become more precise, likely triggering sharp repricing as uncertainty narrows.