Market-implied odds for 38°C reflect the convergence of official meteorological observations and short-range forecast models showing Guangzhou’s daily maximum will reach that threshold under subtropical early-June conditions. High humidity, light northeasterly winds, and mostly cloudy skies have allowed temperatures to climb steadily toward the observed peak, consistent with regional climatology for the Pearl River Delta. Chinese meteorological services and neighboring agency guidance have aligned on this value, leaving little room for alternative outcomes on resolution day. Only an unforeseen late-day cooling front or station-specific measurement variance would alter the result.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · UpdatedHighest temperature in Guangzhou on June 3?
38°C 100.0%
29°C or below <1%
30°C <1%
31°C <1%
$95,574 Vol.
$95,574 Vol.
29°C or below
No
30°C
No
31°C
No
32°C
No
33°C
No
34°C
No
35°C
No
36°C
No
37°C
No
38°C
Yes
39°C or higher
No
38°C 100.0%
29°C or below <1%
30°C <1%
31°C <1%
$95,574 Vol.
$95,574 Vol.
29°C or below
No
30°C
No
31°C
No
32°C
No
33°C
No
34°C
No
35°C
No
36°C
No
37°C
No
38°C
Yes
39°C or higher
No
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Guangzhou Baiyun International Airport Station, available here: https://www.wunderground.com/history/daily/cn/guangzhou/ZGGG.
To toggle between Fahrenheit and Celsius, click the gear icon next to the search bar and switch the Temperature setting between °F and °C.
This market can not resolve until the first data point for the following date has been published on the resolution source.
The resolution source for this market measures temperatures to whole degrees Celsius (eg, 9°C). Thus, this is the level of precision that will be used when resolving the market.
Revisions to temperatures recorded within this market's timeframe will be considered until the first datapoint for the following date has been published, after which any alterations will not be considered.
Market Opened: Jun 1, 2026, 12:11 AM ET
Resolution Source
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGResolver
0x69c47De9D...Outcome proposed: No
No dispute
Final outcome: No
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Guangzhou Baiyun International Airport Station, available here: https://www.wunderground.com/history/daily/cn/guangzhou/ZGGG.
To toggle between Fahrenheit and Celsius, click the gear icon next to the search bar and switch the Temperature setting between °F and °C.
This market can not resolve until the first data point for the following date has been published on the resolution source.
The resolution source for this market measures temperatures to whole degrees Celsius (eg, 9°C). Thus, this is the level of precision that will be used when resolving the market.
Revisions to temperatures recorded within this market's timeframe will be considered until the first datapoint for the following date has been published, after which any alterations will not be considered.
Resolution Source
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGResolver
0x69c47De9D...Outcome proposed: No
No dispute
Final outcome: No
Market-implied odds for 38°C reflect the convergence of official meteorological observations and short-range forecast models showing Guangzhou’s daily maximum will reach that threshold under subtropical early-June conditions. High humidity, light northeasterly winds, and mostly cloudy skies have allowed temperatures to climb steadily toward the observed peak, consistent with regional climatology for the Pearl River Delta. Chinese meteorological services and neighboring agency guidance have aligned on this value, leaving little room for alternative outcomes on resolution day. Only an unforeseen late-day cooling front or station-specific measurement variance would alter the result.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated
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