Lowest temperature in Washington DC on Jun 17, 2026?

Prediction market odds reflect real-money bets from traders who profit or lose based on accuracy, creating a financial incentive to incorporate the best available information. Analyst forecasts, by contrast, are typically point estimates or ranges published by meteorologists and climate services. This market aggregates dispersed knowledge from many participants, often capturing nuances that single-source forecasts may miss. Comparing the two can reveal where professional consensus and market sentiment diverge on the likely low temperature for that date.

On Kalshi, this market is priced through a continuous order-book mechanism where buyers and sellers post bids and offers on temperature ranges or specific thresholds. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders compete to set the odds by placing limit orders, and the market price reflects the consensus of all active participants at any moment. As new information emerges—seasonal forecasts, climate patterns, or real-time weather data—traders adjust their positions, moving the price up or down to reflect changing expectations.

This market resolves around Jun 18, 2026, once June 17, 2026 has passed and the lowest temperature recorded in Washington DC that day is verified. The outcome is confirmed against credible public sources such as the National Weather Service or other authoritative meteorological records. Traders holding positions aligned with the actual low temperature are paid out according to the market's payout structure, while those on the wrong side of the outcome lose their stake.

Major climate patterns, seasonal forecasts, and long-range weather models published by NOAA or international meteorological agencies can shift market expectations significantly. El Niño or La Niña conditions, Arctic oscillation patterns, and historical temperature anomalies for mid-June in DC all influence trader positioning. As June 2026 approaches, medium-range forecasts become more precise, typically triggering sharper price moves. Breaking news about unusual weather systems, volcanic activity affecting atmospheric conditions, or revised climate outlooks may also prompt rapid repricing of this market.