Highest temperature in Qingdao on June 27?

Prediction market odds often diverge from traditional meteorologist forecasts because they incorporate real-time trader positioning and financial incentives. While weather analysts publish point estimates and confidence intervals based on atmospheric models, this market prices in broader uncertainty and the views of thousands of independent participants. Comparing the implied probabilities here to published forecasts from regional meteorological agencies can reveal where the crowd expects surprises—such as unusual heat waves or cooler-than-expected conditions—relative to expert consensus.

On Polymarket, traders set prices by buying and selling shares corresponding to different temperature outcomes. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome bracket carries its own price between 0 and 1, reflecting the probability the market assigns to that range. As new information arrives—updated weather models, seasonal patterns, or real-time atmospheric data—traders adjust their positions, moving prices up or down. The current price of any outcome directly represents the market's live estimate of its likelihood.

This market resolves around Jun 27, 2026, once the highest temperature recorded in Qingdao on that date is confirmed and verifiable from credible public sources. The outcome is determined by the actual meteorological reading from official weather stations or recognized climate data providers for the specified location and date. All shares corresponding to the correct temperature bracket will be redeemed at full value, while incorrect outcomes expire worthless.

Major weather pattern shifts, updated seasonal forecasts, and real-time atmospheric data releases will drive price movement in this market. Tropical systems, monsoon activity, or unusual high-pressure systems over East Asia could significantly alter expectations for June 27 conditions in Qingdao. Historical temperature records for that date, climate anomalies, and any published meteorological alerts will also influence trader positioning. As the event date approaches, intraday weather updates and model consensus changes typically accelerate volatility.