Lowest temperature in Washington DC on Jul 6, 2026?

Prediction market odds reflect real-money trading by participants with skin in the game, often diverging from traditional meteorologist forecasts because markets price in broader uncertainty and tail risks. While weather analysts issue point estimates or ranges based on atmospheric models, this market aggregates dispersed information from many traders making independent bets. Over time, prediction markets have proven competitive with or superior to expert consensus on weather outcomes, especially when conditions remain volatile or when model disagreement is high. The odds here represent a dynamic, continuously updated alternative to static seasonal forecasts.

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. Each outcome bucket—say, lows between 75°F and 80°F—trades independently, and the price of a share reflects the probability traders assign to that range occurring. As new information arrives, traders adjust their positions, moving prices up or down. The spread between bid and ask prices tightens as more liquidity enters the market, making it cheaper to trade in or out of positions.

This market resolves around Jul 7, 2026, once July 6, 2026 has passed and the day's lowest temperature in Washington DC is verifiable from credible public sources. The outcome is determined by the actual recorded minimum temperature on that date, typically reported by the National Weather Service or equivalent meteorological authority. Traders holding shares in the outcome bucket that matches the verified low will receive their payout; all other positions expire worthless. Resolution is automatic once the data is confirmed and published.

Major weather pattern shifts, updated seasonal climate outlooks, and real-time atmospheric data will drive price movement in this market. Heat waves, cold fronts, or unusual jet-stream behavior weeks or months before July 2026 could reshape trader expectations. El Niño or La Niña conditions, solar activity, and volcanic aerosols are longer-term climate signals that influence summer temperatures. As July 6 approaches, daily forecast updates and model consensus will tighten the range, causing sharp repricing if predictions shift. Extreme weather events elsewhere or anomalies in spring and early summer will also prompt traders to reassess their positions.