Lowest temperature in Seattle on Jun 25, 2026?

Prediction market odds often diverge from traditional weather forecasts and analyst models because they incorporate real-time trader conviction and incentivize accuracy through financial stakes. While meteorologists rely on atmospheric data and historical patterns, this market reflects what informed traders are willing to bet on, sometimes pricing in tail risks or consensus shifts faster than official forecasts update. Comparing the two reveals whether the prediction community is more bullish or bearish than expert consensus, though both approaches have distinct strengths in capturing uncertainty around June conditions in Seattle.

On Kalshi, this market is priced through an order-book mechanism where traders 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 platform matches buyers and sellers, with the midpoint of active orders reflecting the current implied probability for each outcome bracket. As new information emerges or trader sentiment shifts, prices adjust dynamically, allowing participants to enter or exit positions at market rates that continuously rebalance supply and demand across all possible temperature ranges.

This market resolves around Jun 26, 2026, once the lowest temperature recorded in Seattle on June 25, 2026 is verified and finalized. The outcome is confirmed against credible public weather data sources, ensuring an objective and transparent settlement. Traders holding shares in the correct outcome bracket receive their payouts based on the final verified temperature reading, making accuracy the sole determinant of profit or loss in this event.

Major weather pattern shifts, seasonal forecasts, and atmospheric anomalies published by meteorological agencies can significantly move this market as traders reassess probabilities. El Niño or La Niña developments, unexpected jet stream behavior, or revised long-range models may trigger repricing. Additionally, historical temperature records for late June in Seattle and real-time climate data releases can influence trader positioning. As the event date approaches, short-range forecasts become increasingly influential, often causing sharp price movements as uncertainty narrows and consensus crystallizes around specific temperature ranges.