Lowest temperature in Washington DC on Jun 19, 2026?

Prediction market odds reflect real-money bets from traders who profit or lose based on accuracy, creating a financial incentive to price outcomes correctly. Analyst forecasts, by contrast, rely on meteorological models and expert judgment without direct financial stakes. This market aggregates dispersed trader knowledge into a single probability estimate for the DC temperature low on June 19, 2026. While weather forecasters use physics-based models, prediction markets incorporate broader information signals—including historical patterns, ensemble forecasts, and trader conviction. Comparing the two can reveal where consensus diverges and highlight which forecasting method the market finds more credible for this specific event.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares corresponding to different 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 collective belief of all active traders, with prices ranging from near-zero to near-100 cents per share. The spread between bid and ask prices tightens as volume increases and more traders participate. Your entry and exit prices depend on the current order book depth and your position size, so checking real-time liquidity before trading helps ensure you get fair execution on your bets about the June 19 low.

This market resolves around Jun 20, 2026, once June 19, 2026 has passed and the lowest temperature recorded in Washington DC that day is confirmed. The outcome is verified against credible public sources to determine which temperature range bracket was correct. Traders holding shares in the winning outcome receive their payout, while losing positions expire worthless. The resolution process is automated once the data becomes available, so you will see final settlement reflected in your account shortly after the event concludes and verification is complete.

Several factors can shift odds in this market before June 2026 arrives. Updated seasonal weather models and long-range forecasts from meteorological agencies will influence trader expectations as the date approaches. Major climate patterns—such as heat waves, cold fronts, or unusual atmospheric conditions—can reshape the probability distribution. Real-time weather updates in the weeks and days leading up to June 19 will likely trigger sharp repricing as new data becomes available. Additionally, historical temperature records for that date and time-of-year trends may prompt traders to adjust positions. As the event date nears, intraday weather forecasts will drive the most volatile price swings.