Highest temperature in Chengdu on May 18?

This Polymarket event, titled "Highest temperature in Chengdu on May 18?", has already resolved. The prediction market was created on Polymarket on May 16, 2026, and asked traders to predict the temperature range for the highest reading recorded at the Chengdu Shuangliu International Airport Station on May 18, 2026. The event is now closed and resolved, meaning no further trading or position changes are possible for any of its five related markets. The specific market under analysis here is "Will the highest temperature in Chengdu be 26°C or below on May 18?" This was one of five possible outcomes offered to traders, which collectively covered temperature brackets from 26°C or below, 27°C, 28°C, 29°C, and 30°C. The market relied on official historical weather data from Wunderground for the Chengdu Shuangliu International Airport station, measuring temperatures to whole degrees Celsius. The market could not resolve until all data for that date was finalized by the source. The current odds for this selected market display a YES price of 0.0 cents and a NO price of 100.0 cents. This indicates an implied probability of zero percent that the highest temperature was 26°C or below, and a one hundred percent implied probability that it was not that cold. The total trading volume across the entire event reached $30.2K. The event and this specific market both concluded on May 18, 2026, at 12:00 PM UTC, and the market status is now listed as resolved or inactive. Due to the resolved state, liquidity data is not available. This Polymarket analytics page can display the final odds, the YES and NO prices, total volume, and the overall market status for each outcome. For active markets, the on-page tables typically show price movement, top holders, whale activity, and smart money signals using wallet age analysis. However, for this fast generation of the event description, detailed holder data, whale concentration, smart money signals, fresh wallet risk, average entry prices, and profit and loss distribution are not included. To perform a deeper check on the historical trading patterns, users should refer to the on-page analytics tables once the event page is fully loaded. This AI-generated analysis is for informational purposes only. It is not financial advice. The site owner and author are not responsible for decisions, losses, or actions based on this text. Verify market data independently.