Recent forecasts from meteorological agencies point to a daily maximum near 35°C in Guangzhou on June 5 amid the early summer monsoon pattern, with high humidity and scattered thunderstorms expected to moderate afternoon peaks through cloud cover and evaporative cooling. This aligns with the market’s strongest consensus on the 35°C outcome, as typical June climatology shows average highs of 31–32°C but allows for brief spikes into the mid-30s under clear conditions. Model guidance shows limited divergence, though any reduction in convective activity could push readings toward 36°C. Official temperature observations, which resolve the market, incorporate urban heat-island effects and will be finalized by local weather services later today.
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 5?
35°C 40%
36°C 20%
34°C 17%
37°C 11%
$47,008 Vol.
$47,008 Vol.
31°C or below
<1%
32°C
2%
33°C
5%
34°C
17%
35°C
40%
36°C
20%
37°C
11%
38°C
7%
39°C
2%
40°C
<1%
41°C or higher
<1%
35°C 40%
36°C 20%
34°C 17%
37°C 11%
$47,008 Vol.
$47,008 Vol.
31°C or below
<1%
32°C
2%
33°C
5%
34°C
17%
35°C
40%
36°C
20%
37°C
11%
38°C
7%
39°C
2%
40°C
<1%
41°C or higher
<1%
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 3, 2026, 12:43 AM ET
Resolution Source
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGResolver
0x69c47De9D...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...Recent forecasts from meteorological agencies point to a daily maximum near 35°C in Guangzhou on June 5 amid the early summer monsoon pattern, with high humidity and scattered thunderstorms expected to moderate afternoon peaks through cloud cover and evaporative cooling. This aligns with the market’s strongest consensus on the 35°C outcome, as typical June climatology shows average highs of 31–32°C but allows for brief spikes into the mid-30s under clear conditions. Model guidance shows limited divergence, though any reduction in convective activity could push readings toward 36°C. Official temperature observations, which resolve the market, incorporate urban heat-island effects and will be finalized by local weather services later today.
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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