Traders see closely matched probabilities across 31–33°C because short-range ensemble forecasts for Guangzhou on July 9 show high uncertainty in peak daytime temperatures amid typical East Asian monsoon conditions. Afternoon convective showers or increased cloud cover can suppress maxima by 1–2°C, while clearer, drier air masses allow readings to reach 33°C or higher under strong solar heating. Historical July averages near 32°C, combined with urban heat-island effects and variable humidity, keep the distribution tight around these thresholds, with new model runs from agencies such as the China Meteorological Administration likely to shift sentiment as the date approaches.
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 9 juillet ?
32°C 100.0%
24°C ou moins <1%
25°C <1%
26°C <1%
$104,168 Vol.
$104,168 Vol.
24°C ou moins
Non
25°C
Non
26°C
Non
27°C
Non
28°C
Non
29°C
Non
30°C
Non
31°C
Non
32°C
Oui
33°C
Non
34°C ou plus
Non
32°C 100.0%
24°C ou moins <1%
25°C <1%
26°C <1%
$104,168 Vol.
$104,168 Vol.
24°C ou moins
Non
25°C
Non
26°C
Non
27°C
Non
28°C
Non
29°C
Non
30°C
Non
31°C
Non
32°C
Oui
33°C
Non
34°C ou plus
Non
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 7, 2026, 12:03 AM ET
Source de résolution
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGResolver
0x69c47De9D...Résultat proposé: Non
Aucune contestation
Résultat final: Non
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...Résultat proposé: Non
Aucune contestation
Résultat final: Non
Traders see closely matched probabilities across 31–33°C because short-range ensemble forecasts for Guangzhou on July 9 show high uncertainty in peak daytime temperatures amid typical East Asian monsoon conditions. Afternoon convective showers or increased cloud cover can suppress maxima by 1–2°C, while clearer, drier air masses allow readings to reach 33°C or higher under strong solar heating. Historical July averages near 32°C, combined with urban heat-island effects and variable humidity, keep the distribution tight around these thresholds, with new model runs from agencies such as the China Meteorological Administration likely to shift sentiment as the date approaches.
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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