Lowest temperature in Washington DC on Jul 2, 2026?

Prediction market odds reflect real-money trader conviction and aggregate dispersed information across many participants, whereas traditional analyst forecasts rely on institutional models and expert judgment. This market prices in seasonal temperature patterns, historical July weather in the DC region, and evolving climate signals that individual forecasters may weight differently. Traders continuously update odds as new data arrives, creating a dynamic consensus that often diverges from static seasonal normals or single-source predictions. Comparing the two reveals where the market sees asymmetric risk or where consensus forecasts may be outdated.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares corresponding to temperature ranges. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome contract reflects the probability traders assign to that range occurring, with the price of a share ranging from near zero to near one dollar. As new information surfaces—updated weather models, seasonal shifts, or climate anomalies—traders adjust their bids and asks, moving the market price. The spread between buy and sell orders tightens as the event date approaches and uncertainty narrows.

This market resolves around Jul 3, 2026, once July 2, 2026 has passed and the lowest temperature recorded in Washington DC that day is confirmed. The outcome is verified against credible public sources to ensure accuracy. Traders holding shares in the correct temperature range receive their payout, while incorrect positions expire worthless. The resolution window closes shortly after the event, locking in final prices and settling all open positions.

Major shifts in long-range weather forecasts, updated climate models, and seasonal pattern changes will drive significant repricing. El Niño or La Niña developments, polar vortex behavior, and jet stream positioning in early summer 2026 are key catalysts. Historical heat waves or cold snaps in the DC region during comparable years may also influence trader positioning. As July approaches, near-term meteorological data—including 10-day and extended forecasts—will tighten the range and reduce uncertainty, typically narrowing the spread between competing outcomes.