Recent forecasts from agencies including the UK Met Office point to a July 4 maximum near 31°C in Guangzhou, aligning with the market’s clustered probabilities around 30–32°C. In this subtropical monsoon regime, peak temperatures hinge on insolation, boundary-layer moisture, and convective cloud cover that can cap daytime highs through evaporative cooling and reduced solar input. Early July climatology features average highs of 32–33°C amid 80%+ relative humidity, yet scattered thunderstorms—common in the region—introduce variability that differentiates 29°C from 33°C+ outcomes. With resolution hinging on official station readings, traders weigh short-term model consensus against typical afternoon shower timing and any lingering frontal influences.
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 4. Juli?
30°C 100.0%
23°C oder weniger <1%
24°C <1%
25°C <1%
$138,978 Vol.
$138,978 Vol.
23°C oder weniger
Nein
24°C
Nein
25°C
Nein
26°C
Nein
27°C
Nein
28°C
Nein
29°C
Nein
30°C
Ja
31°C
Nein
32°C
Nein
33°C oder höher
Nein
30°C 100.0%
23°C oder weniger <1%
24°C <1%
25°C <1%
$138,978 Vol.
$138,978 Vol.
23°C oder weniger
Nein
24°C
Nein
25°C
Nein
26°C
Nein
27°C
Nein
28°C
Nein
29°C
Nein
30°C
Ja
31°C
Nein
32°C
Nein
33°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 2, 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
Recent forecasts from agencies including the UK Met Office point to a July 4 maximum near 31°C in Guangzhou, aligning with the market’s clustered probabilities around 30–32°C. In this subtropical monsoon regime, peak temperatures hinge on insolation, boundary-layer moisture, and convective cloud cover that can cap daytime highs through evaporative cooling and reduced solar input. Early July climatology features average highs of 32–33°C amid 80%+ relative humidity, yet scattered thunderstorms—common in the region—introduce variability that differentiates 29°C from 33°C+ outcomes. With resolution hinging on official station readings, traders weigh short-term model consensus against typical afternoon shower timing and any lingering frontal influences.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten. Dies ist keine Handelsberatung und spielt keine Rolle bei der Auflösung dieses Marktes. · Aktualisiert

Vorsicht bei externen Links.
Vorsicht bei externen Links.
Häufig gestellte Fragen