Traders are pricing the highest temperature in Guangzhou on July 25 around 36–39 °C because official forecasts from sources such as timeanddate and local observatories converge on a daytime high near 37 °C under partly cloudy skies with possible thunderstorms. In Guangzhou’s subtropical monsoon climate, peak July heat stems from strong solar insolation, high humidity that limits nocturnal cooling, and the urban heat-island effect; however, afternoon convective clouds or showers can shave 1–2 °C off maximum readings while clear intervals allow brief spikes toward 39 °C. Model consensus shows limited day-to-day variability this close to the date, keeping the distribution tight and explaining why lower or extreme outcomes (below 35 °C or 40 °C+) carry minimal implied probability.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-updateHighest temperature in Guangzhou on July 25?
37°C 33%
38°C 26%
39°C 22%
36°C 17%
31°C or below
<1%
32°C
1%
33°C
1%
34°C
9%
35°C
11%
36°C
17%
37°C
33%
38°C
26%
39°C
22%
40°C
5%
41°C or higher
2%
37°C 33%
38°C 26%
39°C 22%
36°C 17%
31°C or below
<1%
32°C
1%
33°C
1%
34°C
9%
35°C
11%
36°C
17%
37°C
33%
38°C
26%
39°C
22%
40°C
5%
41°C or higher
2%
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.
Binuksan ang Market: Jul 23, 2026, 12:04 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...Traders are pricing the highest temperature in Guangzhou on July 25 around 36–39 °C because official forecasts from sources such as timeanddate and local observatories converge on a daytime high near 37 °C under partly cloudy skies with possible thunderstorms. In Guangzhou’s subtropical monsoon climate, peak July heat stems from strong solar insolation, high humidity that limits nocturnal cooling, and the urban heat-island effect; however, afternoon convective clouds or showers can shave 1–2 °C off maximum readings while clear intervals allow brief spikes toward 39 °C. Model consensus shows limited day-to-day variability this close to the date, keeping the distribution tight and explaining why lower or extreme outcomes (below 35 °C or 40 °C+) carry minimal implied probability.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-update


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