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.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten. Dies ist keine Handelsberatung und spielt keine Rolle bei der Auflösung dieses Marktes. · AktualisiertHöchste Temperatur in Guangzhou am 9. Juli?
32°C 100.0%
24°C oder niedriger <1%
25°C <1%
26°C <1%
$104,168 Vol.
$104,168 Vol.
24°C oder niedriger
Nein
25°C
Nein
26°C
Nein
27°C
Nein
28°C
Nein
29°C
Nein
30°C
Nein
31°C
Nein
32°C
Ja
33°C
Nein
34°C oder höher
Nein
32°C 100.0%
24°C oder niedriger <1%
25°C <1%
26°C <1%
$104,168 Vol.
$104,168 Vol.
24°C oder niedriger
Nein
25°C
Nein
26°C
Nein
27°C
Nein
28°C
Nein
29°C
Nein
30°C
Nein
31°C
Nein
32°C
Ja
33°C
Nein
34°C oder höher
Nein
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.
Markt eröffnet: Jul 7, 2026, 12:03 AM ET
Abwicklungsquelle
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGResolver
0x69c47De9D...Vorgeschlagenes Ergebnis: Nein
Kein Einspruch
Endgültiges Ergebnis: Nein
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.
Abwicklungsquelle
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGResolver
0x69c47De9D...Vorgeschlagenes Ergebnis: Nein
Kein Einspruch
Endgültiges Ergebnis: Nein
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.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten. Dies ist keine Handelsberatung und spielt keine Rolle bei der Auflösung dieses Marktes. · Aktualisiert

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