Trader consensus has converged on a 31°C high for Guangzhou on June 13 due to official meteorological observations confirming this peak temperature. Forecasts from regional models anticipated afternoon maxima near 29–32°C amid rainstorms and high humidity typical of early summer in southern China, with cloud cover and precipitation suppressing further warming. This aligns with climatological baselines for mid-June, when daily highs commonly range 30–33°C. The near-certain market pricing reflects real-time station data locking in the daily maximum, leaving minimal room for revision. Only an unexpected late-day spike or measurement discrepancy at primary stations could shift the outcome.
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 13?
31°C 100.0%
26°C or below <1%
27°C <1%
28°C <1%
$84,411 Vol.
$84,411 Vol.
26°C or below
No
27°C
No
28°C
No
29°C
No
30°C
No
31°C
Yes
32°C
No
33°C
No
34°C
No
35°C
No
36°C or higher
No
31°C 100.0%
26°C or below <1%
27°C <1%
28°C <1%
$84,411 Vol.
$84,411 Vol.
26°C or below
No
27°C
No
28°C
No
29°C
No
30°C
No
31°C
Yes
32°C
No
33°C
No
34°C
No
35°C
No
36°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 11, 2026, 12:10 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
Trader consensus has converged on a 31°C high for Guangzhou on June 13 due to official meteorological observations confirming this peak temperature. Forecasts from regional models anticipated afternoon maxima near 29–32°C amid rainstorms and high humidity typical of early summer in southern China, with cloud cover and precipitation suppressing further warming. This aligns with climatological baselines for mid-June, when daily highs commonly range 30–33°C. The near-certain market pricing reflects real-time station data locking in the daily maximum, leaving minimal room for revision. Only an unexpected late-day spike or measurement discrepancy at primary stations could shift the outcome.
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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