Lowest temperature in Washington DC on Jun 25, 2026?

Prediction market odds reflect real-money bets from traders and often incorporate the same meteorological data that professional forecasters use. However, markets can diverge from traditional analyst consensus when traders weight certain signals differently or react faster to model updates. This market aggregates distributed knowledge from participants with skin in the game, which sometimes produces sharper or earlier signals than published forecasts. Comparing this market's implied probabilities to seasonal climate outlooks and numerical weather prediction models can reveal where market participants see edge or disagreement with conventional wisdom.

On Kalshi, this market is priced through an order-book mechanism where traders submit bids and asks for shares corresponding to different temperature outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The platform matches buyers and sellers in real time, and the clearing price at any moment reflects the marginal trader's willingness to bet on a given temperature range. Tighter spreads indicate higher confidence and liquidity, while wider spreads suggest uncertainty or thinner trading interest around specific thresholds.

This market resolves around Jun 26, 2026, once June 25, 2026 has passed and the day's weather data is finalized. The outcome is confirmed against credible public sources that record the official low temperature for Washington DC on that date. Traders holding shares in the correct outcome range receive their payout, while incorrect positions expire worthless. The exact temperature threshold boundaries are set at market creation and remain fixed through resolution.

Long-range weather models updated through spring 2026 will be the primary driver, especially as seasonal patterns and El Niño or La Niña conditions become clearer. Major climate anomalies, volcanic activity, or solar cycles could shift baseline temperature expectations. As June approaches, medium-range forecasts (10–14 days out) will gain influence, and traders will react sharply to any unusual jet-stream positioning or heat-dome formation. Real-time atmospheric data in the final week before the event will likely trigger the most volatile repricing as uncertainty narrows.