Current forecasts from meteorological agencies, including BBC Weather and AccuWeather, indicate a daily high near 29°C for Guangzhou on June 10 under mostly cloudy conditions with light northerly winds. This aligns with typical early June climatology for the region, where average highs hover around 30–32°C amid high humidity and monsoon influences, and recent model runs show no significant warming trend or heat advection to push temperatures higher. Trader consensus at 100% implied probability for the 29°C outcome reflects this convergence of observational data and short-range guidance, though resolution depends on official station measurements that could shift slightly due to localized urban effects or timing of peak readings.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten. Dies ist keine Handelsberatung und spielt keine Rolle bei der Auflösung dieses Marktes. · AktualisiertHighest temperature in Guangzhou on June 10?
29°C 100.0%
27°C or below <1%
28°C <1%
30°C <1%
$87,589 Vol.
$87,589 Vol.
27°C or below
No
28°C
No
29°C
Yes
30°C
No
31°C
No
32°C
No
33°C
No
34°C
No
35°C
No
36°C
No
37°C or higher
No
29°C 100.0%
27°C or below <1%
28°C <1%
30°C <1%
$87,589 Vol.
$87,589 Vol.
27°C or below
No
28°C
No
29°C
Yes
30°C
No
31°C
No
32°C
No
33°C
No
34°C
No
35°C
No
36°C
No
37°C or higher
No
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: Jun 8, 2026, 12:09 AM ET
Abwicklungsquelle
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGResolver
0x69c47De9D...Vorgeschlagenes Ergebnis: No
Kein Einspruch
Endgültiges Ergebnis: No
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: No
Kein Einspruch
Endgültiges Ergebnis: No
Current forecasts from meteorological agencies, including BBC Weather and AccuWeather, indicate a daily high near 29°C for Guangzhou on June 10 under mostly cloudy conditions with light northerly winds. This aligns with typical early June climatology for the region, where average highs hover around 30–32°C amid high humidity and monsoon influences, and recent model runs show no significant warming trend or heat advection to push temperatures higher. Trader consensus at 100% implied probability for the 29°C outcome reflects this convergence of observational data and short-range guidance, though resolution depends on official station measurements that could shift slightly due to localized urban effects or timing of peak readings.
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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Vorsicht bei externen Links.
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