TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 30, 8:00 AM EST
Polymarket
This market tracks whether the highest temperature recorded in Guangzhou on May 30, 2026 will reach 33°C or fall to 32°C. On Polymarket, the 33°C outcome is trading at 29.5%, while the 32°C outcome is at 26.0%. Resolution will be determined by historical temperature data from Weather Underground, using official readings from Guangzhou Baiyun International Airport Station. Watch the actual weather patterns and seasonal forecasts as May 30, 2026 approaches to gauge whether typical late-spring temperatures in Guangzhou will trend toward the higher or lower end of these outcomes.
Prediction market odds on Polymarket reflect real-time trader sentiment and aggregate information about Guangzhou's expected weather on May 30. Unlike static analyst forecasts, market prices adjust continuously as new meteorological data, seasonal patterns, and climate models emerge. Comparing market-implied probabilities to traditional weather forecasts from meteorological agencies can reveal where traders see divergence from official predictions, offering insight into tail-risk pricing and market confidence in specific temperature ranges.
The market resolves on May 30, 2026, after the highest temperature in Guangzhou on May 30 has been recorded. The outcome is determined by official temperature data from recognized meteorological sources for that specific date and location. Once the actual high temperature is confirmed, the contract corresponding to the correct outcome is settled at full value, and all other outcomes expire worthless. Traders should monitor official weather station reports as the resolution date approaches.
Several factors could shift market odds before resolution. Updated seasonal weather forecasts and long-range climate models will influence trader expectations. Major weather patterns, such as monsoon onset timing or tropical systems affecting southern China, could trigger significant repricing. Real-time meteorological alerts and anomalies in late May will drive late trading. Additionally, historical temperature data and comparisons to prior May 30 highs in Guangzhou may prompt adjustments as traders refine their probability estimates closer to the event date.