Highest temperature in Beijing on April 19?

For those searching for the Polymarket event "Highest temperature in Beijing on April 19?", this prediction market has already been resolved. The selected market asks: Will the highest temperature in Beijing be 22°C on April 19? As of the latest data, the YES price sits at 0.0% and the NO price at 100.0%, indicating the market has been resolved in favor of the NO outcome. The implied probability for the YES outcome was effectively zero, meaning the highest temperature in Beijing on that date did not reach 22°C. This Polymarket event is centered around the recorded high temperature at the Beijing Capital International Airport Station on 19 April 2026. The resolution source is Wunderground, which provides finalized temperature data for that specific location. The event contains five distinct binary markets, each covering a specific temperature range or degree point, including exactly 22°C. The event was created on Polymarket on April 17, 2026, and the selected market specifically was created at the same time. The market question is straightforward: it resolves to YES only if the highest temperature recorded at the airport station on that date was exactly 22°C, measured to whole degrees Celsius. The market status is listed as Resolved or inactive, with an end date of April 19, 2026. Total volume for this event reached $163.2K, while liquidity data is not available in this fast generation. The category is not specified. The start date for the selected market was April 17, 2026. Since the market is resolved, the current prices reflect the final outcome: the NO position paid out at 100.0%. This polymarket analytics page provides a clear overview of odds, YES price, NO price, total event volume, and resolution status. For users looking to understand price or market movement over time, or to check top holders, whale activity, smart money signals, or fresh wallet concentration, these data points are not included in this fast SEO generation. Specifically, holder data, whale concentration, smart money signals, fresh account risk, average entry price, and PnL distribution are all omitted. However, the on-page analytics tables and holder distribution charts, once loaded, will offer deeper insights into market participation and historical trading activity. For a thorough prediction market analysis, readers should consult those interactive tables for detailed breakdowns. 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.