Heavy rainfall and widespread cloud cover across Guangdong province on June 18 are suppressing surface heating and capping Guangzhou’s daily maximum near 29–30 °C, consistent with regional forecasts from meteorological agencies. Persistent monsoon moisture, a nearby frontal boundary, and evaporative cooling from showers reduce incoming solar radiation and limit afternoon temperature rises relative to typical mid-June climatology. Subtle differences among 29 °C, 30 °C, and 31 °C outcomes hinge on forecast model variations in rain timing, cloud thickness, and localized urban heat effects within the Pearl River Delta. Traders weigh these dynamic atmospheric conditions against historical baselines, with official updates on precipitation intensity and temperature observations likely to refine probabilities before market resolution.
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 18?
29°C 100.0%
23°C or below <1%
24°C <1%
25°C <1%
$88,407 Vol.
$88,407 Vol.
23°C or below
No
24°C
No
25°C
No
26°C
No
27°C
No
28°C
No
29°C
Yes
30°C
No
31°C
No
32°C
No
33°C or higher
No
29°C 100.0%
23°C or below <1%
24°C <1%
25°C <1%
$88,407 Vol.
$88,407 Vol.
23°C or below
No
24°C
No
25°C
No
26°C
No
27°C
No
28°C
No
29°C
Yes
30°C
No
31°C
No
32°C
No
33°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 16, 2026, 12:05 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
Heavy rainfall and widespread cloud cover across Guangdong province on June 18 are suppressing surface heating and capping Guangzhou’s daily maximum near 29–30 °C, consistent with regional forecasts from meteorological agencies. Persistent monsoon moisture, a nearby frontal boundary, and evaporative cooling from showers reduce incoming solar radiation and limit afternoon temperature rises relative to typical mid-June climatology. Subtle differences among 29 °C, 30 °C, and 31 °C outcomes hinge on forecast model variations in rain timing, cloud thickness, and localized urban heat effects within the Pearl River Delta. Traders weigh these dynamic atmospheric conditions against historical baselines, with official updates on precipitation intensity and temperature observations likely to refine probabilities before market resolution.
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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