Market-implied odds reflect real-time meteorological observations and model consensus confirming a daytime peak of 38°C in Guangzhou on June 4, driven by clear skies allowing strong solar heating under subtropical high pressure before afternoon convection develops. Official forecasts from the Guangzhou Central Meteorological Observatory project a high near this threshold, consistent with June climatology where highs frequently reach 34–37°C amid high humidity that amplifies the heat index. Thunderstorm initiation later in the day is expected to cap further warming. This positioning could shift only if revised surface observations or a faster storm arrival lowers the recorded maximum below the threshold before final data validation.
Eksperymentalne podsumowanie AI odwołujące się do danych Polymarket. To nie jest porada handlowa i nie ma wpływu na rozstrzyganie tego rynku. · ZaktualizowanoHighest temperature in Guangzhou on June 4?
38°C 100.0%
31°C or below <1%
32°C <1%
33°C <1%
$195,405 Wol.
$195,405 Wol.
31°C or below
No
32°C
No
33°C
No
34°C
No
35°C
No
36°C
No
37°C
No
38°C
Yes
39°C
No
40°C
No
41°C or higher
No
38°C 100.0%
31°C or below <1%
32°C <1%
33°C <1%
$195,405 Wol.
$195,405 Wol.
31°C or below
No
32°C
No
33°C
No
34°C
No
35°C
No
36°C
No
37°C
No
38°C
Yes
39°C
No
40°C
No
41°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.
Rynek otwarty: Jun 2, 2026, 12:08 AM ET
Źródło rozstrzygnięcia
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGResolver
0x69c47De9D...Wynik zaproponowany: No
Brak sporu
Ostateczny wynik: 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.
Źródło rozstrzygnięcia
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGResolver
0x69c47De9D...Wynik zaproponowany: No
Brak sporu
Ostateczny wynik: No
Market-implied odds reflect real-time meteorological observations and model consensus confirming a daytime peak of 38°C in Guangzhou on June 4, driven by clear skies allowing strong solar heating under subtropical high pressure before afternoon convection develops. Official forecasts from the Guangzhou Central Meteorological Observatory project a high near this threshold, consistent with June climatology where highs frequently reach 34–37°C amid high humidity that amplifies the heat index. Thunderstorm initiation later in the day is expected to cap further warming. This positioning could shift only if revised surface observations or a faster storm arrival lowers the recorded maximum below the threshold before final data validation.
Eksperymentalne podsumowanie AI odwołujące się do danych Polymarket. To nie jest porada handlowa i nie ma wpływu na rozstrzyganie tego rynku. · Zaktualizowano

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