Recent ensemble forecasts and ongoing East Asian summer monsoon influences drive the closely matched market odds around 30–32°C as the likely highest temperature in Guangzhou on July 8. Persistent moisture and cloud cover from monsoon flows limit intense solar heating and promote scattered showers or thunderstorms, moderating peak readings relative to drier climatological baselines of 32–33°C. Subtle differences among leading outcomes hinge on model variations in afternoon boundary-layer mixing, wind patterns, and precipitation timing, with official station data resolving exact maxima under standardized protocols.
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 8. Juli?
31°C 100.0%
25°C oder darunter <1%
26°C <1%
27°C <1%
$107,321 Vol.
$107,321 Vol.
25°C oder darunter
Nein
26°C
Nein
27°C
Nein
28°C
Nein
29°C
Nein
30°C
Nein
31°C
Ja
32°C
Nein
33°C
Nein
34°C
Nein
35°C oder höher
Nein
31°C 100.0%
25°C oder darunter <1%
26°C <1%
27°C <1%
$107,321 Vol.
$107,321 Vol.
25°C oder darunter
Nein
26°C
Nein
27°C
Nein
28°C
Nein
29°C
Nein
30°C
Nein
31°C
Ja
32°C
Nein
33°C
Nein
34°C
Nein
35°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 6, 2026, 12:04 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
Recent ensemble forecasts and ongoing East Asian summer monsoon influences drive the closely matched market odds around 30–32°C as the likely highest temperature in Guangzhou on July 8. Persistent moisture and cloud cover from monsoon flows limit intense solar heating and promote scattered showers or thunderstorms, moderating peak readings relative to drier climatological baselines of 32–33°C. Subtle differences among leading outcomes hinge on model variations in afternoon boundary-layer mixing, wind patterns, and precipitation timing, with official station data resolving exact maxima under standardized protocols.
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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