Current forecasts for Guangzhou on July 31 point to a high near 29–32°C under overcast skies with passing showers or thunderstorms, as subtropical monsoon moisture and cloud cover limit daytime heating. These conditions explain the tight clustering of market-implied odds around 30–32°C, where small differences in model runs for precipitation timing or brief sun breaks can shift the daily maximum by 1–2°C. Historical July climatology shows average highs near 32°C, but persistent rain this period has suppressed peaks relative to clearer analogs, creating genuine uncertainty among traders until the latest high-resolution model updates and official Guangzhou Observatory guidance become available closer to the date.
Riepilogo sperimentale generato dall'AI con riferimento ai dati di Polymarket. Questo non è un consiglio di trading e non ha alcun ruolo nella risoluzione di questo mercato. · AggiornatoLa temperatura più alta a Guangzhou il 31 luglio?
32°C 35%
31°C 27%
30°C 23%
33°C 15%
27°C o inferiore
1%
28°C
3%
29°C
7%
30°C
23%
31°C
27%
32°C
35%
33°C
15%
34°C
5%
35°C
2%
36°C
1%
37°C o superiore
<1%
32°C 35%
31°C 27%
30°C 23%
33°C 15%
27°C o inferiore
1%
28°C
3%
29°C
7%
30°C
23%
31°C
27%
32°C
35%
33°C
15%
34°C
5%
35°C
2%
36°C
1%
37°C o superiore
<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.
Mercato aperto: Jul 29, 2026, 12:05 AM ET
Fonte di risoluzione
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.
Fonte di risoluzione
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGResolver
0x69c47De9D...Current forecasts for Guangzhou on July 31 point to a high near 29–32°C under overcast skies with passing showers or thunderstorms, as subtropical monsoon moisture and cloud cover limit daytime heating. These conditions explain the tight clustering of market-implied odds around 30–32°C, where small differences in model runs for precipitation timing or brief sun breaks can shift the daily maximum by 1–2°C. Historical July climatology shows average highs near 32°C, but persistent rain this period has suppressed peaks relative to clearer analogs, creating genuine uncertainty among traders until the latest high-resolution model updates and official Guangzhou Observatory guidance become available closer to the date.
Riepilogo sperimentale generato dall'AI con riferimento ai dati di Polymarket. Questo non è un consiglio di trading e non ha alcun ruolo nella risoluzione di questo mercato. · Aggiornato

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