Highest temperature in Philadelphia on Jun 22, 2026?

Prediction market odds reflect real-money bets from traders who profit only if their forecast is correct, creating a strong incentive for accuracy. Traditional weather analysts and meteorological models offer point estimates and confidence intervals based on historical climate data and atmospheric science. This market aggregates dispersed trader knowledge into a single probability, which often differs from any single analyst's view. Comparing the two reveals where the crowd sees risk differently—for instance, if traders are pricing a higher chance of extreme heat than the National Weather Service's seasonal outlook suggests, that gap itself is worth examining.

On Kalshi, this market is priced through a continuous order-book mechanism where buyers and sellers submit bids and asks for shares tied to specific temperature outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome reflects the marginal trader's willingness to bet at that level, with tighter spreads indicating higher confidence and liquidity. As new weather data, seasonal patterns, or climate signals emerge, traders adjust their positions, moving the odds up or down. You can enter or exit at any time during market hours by accepting posted prices or placing limit orders.

This market resolves around Jun 23, 2026, after June 22, 2026 has passed and the actual high temperature for that day in Philadelphia can be confirmed. The outcome is determined by verified weather data from credible public sources, ensuring an objective and transparent settlement. Once the final temperature reading is recorded and cross-checked, the market will lock in the winning outcome and distribute payouts accordingly. Traders who correctly predicted the temperature range will receive their winnings based on the odds at which they entered their positions.

Major shifts in long-range weather forecasts, updated climate models, and seasonal anomalies can all drive significant price moves in this market. El Niño or La Niña patterns, atmospheric blocking systems, and heat-dome formations weeks or months ahead will influence trader expectations. Real-time updates from the National Weather Service and European weather models closer to June 2026 will likely trigger sharp repricing. Additionally, any unusual heat waves or cold snaps in the months leading up to the event may shift the crowd's baseline assumptions about what constitutes a typical June day in Philadelphia.