Current forecast models point to a peak of 32–34°C in Guangzhou on July 14, driven by the region's subtropical monsoon climate, elevated solar insolation, and high humidity that amplify daytime heating while scattered moderate rain—shown in recent guidance—could limit extremes through increased cloud cover and evaporative cooling. Trader consensus around 33°C or higher reflects model spread on rainfall timing and intensity, typical for mid-July when climatological highs average near 32°C but occasional clear spells allow brief spikes. Updated numerical weather predictions from regional agencies will likely refine these probabilities ahead of the date.
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 July 14?
34°C or higher 100.0%
24°C or below <1%
25°C <1%
26°C <1%
$52,655 Vol.
$52,655 Vol.
24°C or below
No
25°C
No
26°C
No
27°C
No
28°C
No
29°C
No
30°C
No
31°C
No
32°C
No
33°C
No
34°C or higher
Yes
34°C or higher 100.0%
24°C or below <1%
25°C <1%
26°C <1%
$52,655 Vol.
$52,655 Vol.
24°C or below
No
25°C
No
26°C
No
27°C
No
28°C
No
29°C
No
30°C
No
31°C
No
32°C
No
33°C
No
34°C or higher
Yes
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: Jul 12, 2026, 1:05 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
Current forecast models point to a peak of 32–34°C in Guangzhou on July 14, driven by the region's subtropical monsoon climate, elevated solar insolation, and high humidity that amplify daytime heating while scattered moderate rain—shown in recent guidance—could limit extremes through increased cloud cover and evaporative cooling. Trader consensus around 33°C or higher reflects model spread on rainfall timing and intensity, typical for mid-July when climatological highs average near 32°C but occasional clear spells allow brief spikes. Updated numerical weather predictions from regional agencies will likely refine these probabilities ahead of the date.
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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