Traders see closely matched probabilities across 35–37°C because ensemble forecasts from major global models show only modest spread in peak daytime heating for Guangzhou on July 24. Recent upper-level ridging has supported daytime temperatures several degrees above seasonal normals, but increasing moisture from the East Asian monsoon and variable low-level cloud cover introduce uncertainty in the exact maximum. Urban heat-island effects in the Pearl River Delta can add 1–2°C locally, while any increase in afternoon convection or sea-breeze influence could cap the high near 35°C. Updated model runs and regional observations expected in the next 24–48 hours will narrow the range and likely shift the tightest probabilities.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jourLa température la plus élevée à Guangzhou le 24 juillet ?
37°C 41%
36°C 32%
38°C ou plus 12.0%
35°C 8%
$35,032 Vol.
$35,032 Vol.
28°C ou moins
<1%
29°C
<1%
30°C
<1%
31°C
<1%
32°C
1%
33°C
1%
34°C
4%
35°C
8%
36°C
32%
37°C
41%
38°C ou plus
12%
37°C 41%
36°C 32%
38°C ou plus 12.0%
35°C 8%
$35,032 Vol.
$35,032 Vol.
28°C ou moins
<1%
29°C
<1%
30°C
<1%
31°C
<1%
32°C
1%
33°C
1%
34°C
4%
35°C
8%
36°C
32%
37°C
41%
38°C ou plus
12%
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.
Marché ouvert : Jul 22, 2026, 12:04 AM ET
Source de résolution
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.
Source de résolution
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGResolver
0x69c47De9D...Traders see closely matched probabilities across 35–37°C because ensemble forecasts from major global models show only modest spread in peak daytime heating for Guangzhou on July 24. Recent upper-level ridging has supported daytime temperatures several degrees above seasonal normals, but increasing moisture from the East Asian monsoon and variable low-level cloud cover introduce uncertainty in the exact maximum. Urban heat-island effects in the Pearl River Delta can add 1–2°C locally, while any increase in afternoon convection or sea-breeze influence could cap the high near 35°C. Updated model runs and regional observations expected in the next 24–48 hours will narrow the range and likely shift the tightest probabilities.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jour

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