Highest temperature in Shanghai on July 13?

Prediction market odds often diverge from traditional meteorological forecasts because they incorporate real-time trader sentiment and broader information flows beyond standard weather models. While meteorologists rely on atmospheric data and historical patterns, this market reflects what informed traders collectively believe will occur, sometimes pricing in factors like data quality, measurement methodology, or late-breaking weather systems. Comparing the implied probability here to published forecasts from major weather services can reveal whether the crowd is more bullish or bearish on extreme heat than official predictions suggest.

On Polymarket, this market is priced through an automated market maker that converts trader orders into real-time odds. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome contract trades between 0 and 100 cents, with the price reflecting the crowd's estimated probability. Traders buy or sell shares based on their conviction, and the cumulative order flow continuously updates the odds, ensuring the market price stays responsive to new information and shifting expectations about Shanghai's peak temperature on the specified date.

This market resolves around Jul 13, 2026, once the highest temperature recorded in Shanghai for July 13 becomes verifiable from credible public sources. The outcome is determined by comparing actual meteorological data against the specific temperature thresholds embedded in the market's contract terms. Traders holding positions aligned with the verified result receive their winnings, while those on the incorrect side lose their stake. Resolution typically occurs within hours of the market end date once official temperature readings are published and confirmed.

Major weather pattern shifts, tropical storm formation, or updated seasonal forecasts from meteorological agencies could significantly move odds in this market. Real-time satellite imagery, atmospheric pressure changes, or unexpected heat domes would prompt traders to reassess their positions. Additionally, historical temperature records for Shanghai in mid-July and any anomalies in global climate patterns might influence trading activity. As the event date approaches, each new weather update or model revision typically triggers repricing, making the final days before resolution particularly volatile.