Highest temperature in Shanghai on May 31?

Prediction market odds on Polymarket reflect aggregated trader beliefs about Shanghai's maximum temperature on May 31, often incorporating meteorological data and seasonal patterns. Analyst forecasts from weather services and climate models provide independent baseline estimates. Market odds typically converge toward expert consensus but can diverge when traders anticipate unusual conditions, extreme weather systems, or climate anomalies. Comparing the two helps identify where the crowd is pricing in additional risk or opportunity relative to professional meteorological guidance.

On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Polymarket, the highest temperature in Shanghai on May 31 is priced through outcome shares that traders buy and sell to express their probability estimates. Each temperature range or specific threshold has its own contract; prices move as new information arrives and trading volume shifts. The platform uses an automated market maker or order-book model to determine real-time odds. Traders profit by correctly predicting which temperature outcome will occur, creating financial incentives for accurate forecasting and continuous price discovery throughout the lead-up to May 31.

The market resolves on May 31, 2026, after the highest temperature in Shanghai on May 31 has been recorded and verified. Resolution depends on official temperature data from Shanghai's meteorological authority or a designated reference source. The outcome is determined by the actual peak temperature observed on that calendar day, measured at the specified location and time window. Once the final temperature is confirmed, the market settles and winning shares are credited to traders who correctly predicted the outcome.

Weather forecasts and seasonal climate patterns are primary drivers of odds movement. Approaching monsoon systems, heat waves, or cold fronts can shift trader expectations significantly. Long-range meteorological models updated weekly provide new information that traders incorporate into prices. Historical temperature records for Shanghai in late May serve as anchoring points. As May 31 draws closer, short-range forecasts become more reliable and can trigger sharp repricing. Additionally, global climate anomalies, El Niño conditions, or unusual atmospheric patterns may influence regional temperature expectations and market sentiment.