Trader sentiment for Guangzhou’s June 27 high clusters tightly around 31–34°C because official forecasts and ensemble models show high uncertainty from monsoon-driven afternoon convection. Subtropical high pressure may allow brief periods of strong insolation and boundary-layer warming, yet increasing low-level moisture and conditional instability favor scattered thunderstorms that enhance cloud cover, boost evaporative cooling, and limit peak temperatures. Historical June climatology indicates typical maxima near 32°C, with rain days suppressing readings by 1–3°C. Model spread on exact timing and coverage of precipitation, plus minor steering-flow variations, keeps the leading outcomes nearly even and explains why probabilities remain diffuse rather than concentrated on any single threshold.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · DiperbaruiHighest temperature in Guangzhou on June 27?
32°C 38%
31°C 21%
33°C 21%
34°C 14%
$30,033 Vol.
$30,033 Vol.
25°C or below
<1%
26°C
<1%
27°C
<1%
28°C
1%
29°C
5%
30°C
7%
31°C
21%
32°C
38%
33°C
21%
34°C
14%
35°C or higher
7%
32°C 38%
31°C 21%
33°C 21%
34°C 14%
$30,033 Vol.
$30,033 Vol.
25°C or below
<1%
26°C
<1%
27°C
<1%
28°C
1%
29°C
5%
30°C
7%
31°C
21%
32°C
38%
33°C
21%
34°C
14%
35°C or higher
7%
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.
Pasar Dibuka: Jun 25, 2026, 12:03 AM ET
Sumber Resolusi
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGResolver
0x69c47De9D...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.
Sumber Resolusi
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGResolver
0x69c47De9D...Trader sentiment for Guangzhou’s June 27 high clusters tightly around 31–34°C because official forecasts and ensemble models show high uncertainty from monsoon-driven afternoon convection. Subtropical high pressure may allow brief periods of strong insolation and boundary-layer warming, yet increasing low-level moisture and conditional instability favor scattered thunderstorms that enhance cloud cover, boost evaporative cooling, and limit peak temperatures. Historical June climatology indicates typical maxima near 32°C, with rain days suppressing readings by 1–3°C. Model spread on exact timing and coverage of precipitation, plus minor steering-flow variations, keeps the leading outcomes nearly even and explains why probabilities remain diffuse rather than concentrated on any single threshold.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui
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