Highest temperature in Washington DC on Jun 30, 2026?

Prediction market odds often diverge from traditional weather forecasts and analyst models because they incorporate real-time trader behavior, risk appetite, and information flow. While meteorologists rely on atmospheric models and historical climate data, this market reflects what participants are willing to wager on actual outcomes. Comparing the odds here to published seasonal forecasts from NOAA or other agencies can reveal whether traders expect hotter or cooler conditions than official projections suggest, offering a distinct lens on temperature expectations.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares tied to specific temperature ranges or outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Prices fluctuate in real time as new information emerges—such as updated climate models, seasonal patterns, or atmospheric anomalies—and traders adjust their positions accordingly. The spread between buy and sell prices reflects market uncertainty; tighter spreads indicate high confidence in a particular outcome, while wider spreads suggest disagreement among participants.

This market resolves around Jul 1, 2026, once June 30, 2026 has passed and the highest temperature for that day in Washington DC is verifiable from credible public sources. The outcome is determined by official temperature readings recorded at a designated weather station or monitoring point in the city. Traders' positions settle based on whether the actual high temperature falls within the outcome range they selected, with payouts distributed accordingly once the data is confirmed and finalized.

Several factors could shift odds significantly: updated seasonal climate forecasts predicting an unusually hot or cool summer, El Niño or La Niña patterns affecting North American weather, major heat waves or cold snaps in preceding months, and long-range atmospheric models released closer to June 2026. Urban heat island effects, air quality alerts, and historical temperature records for that date also influence trader expectations. Real-time weather developments in late spring 2026 will likely trigger the most dramatic repricing as the event date approaches and uncertainty narrows.