TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 30, 8:00 AM EST
Polymarket
This market tracks whether Shanghai's highest temperature will reach 27°C on May 30, 2026. On Polymarket, the 27°C outcome is trading at 30.5%, while the 28°C outcome is at 25.5%. Resolution will be determined by the historical weather data from Wunderground, specifically records from Shanghai Pudong International Airport Station. Watch the actual temperature reading on May 30, 2026, as that date will determine which outcome resolves correctly.
Prediction market odds on Polymarket reflect real-money consensus from thousands of traders and differ from traditional meteorological forecasts issued by weather agencies and climate analysts. While meteorologists rely on atmospheric models and historical data, prediction markets incorporate forward-looking expectations, recent weather patterns, and trader conviction. Comparing the two reveals whether markets are pricing in more optimistic or pessimistic temperature outcomes than official forecasts suggest. This divergence often highlights uncertainty or emerging consensus about seasonal conditions in Shanghai heading into late May.
The market resolves on May 30, 2026, after the highest temperature recorded in Shanghai on May 30 is officially reported. Resolution is determined by comparing the actual recorded high temperature against the outcome brackets defined in the contract. Once the official measurement is confirmed, the winning outcome is settled and traders receive payouts proportional to their position size. The exact data source and measurement methodology are specified in the market terms at the time of trading.
Several factors could shift market odds before resolution. Major weather pattern changes, such as shifts in monsoon timing or tropical storm activity, would influence temperature expectations. Updated seasonal forecasts from meteorological agencies or climate models showing warmer or cooler trends could trigger repricing. Real-time weather developments in late May, including heat waves or cold fronts approaching East Asia, would drive rapid trading. Additionally, historical anomalies or El Niño updates affecting regional climate could prompt traders to adjust positions as new information emerges closer to the event date.