Recent forecasts from regional models point to typical early-July subtropical monsoon conditions in Guangzhou, with daytime highs centered near 33°C amid high humidity and afternoon convection that can suppress peaks through cloud cover and showers. Trader consensus, reflected in the tight distribution of implied probabilities across 32–34°C outcomes, captures uncertainty in exact maximums driven by variable steering patterns, soil moisture from prior rains, and model spread on timing of any thunderstorm activity. Historical July averages near 32–33°C provide baseline context, while the low odds below 30°C or above 36°C align with the low likelihood of anomalous clear-sky heating or extreme suppression this close to the date. Updated numerical guidance ahead of July 3 will likely refine these near-term probabilities.
Riepilogo sperimentale generato dall'AI con riferimento ai dati di Polymarket. Questo non è un consiglio di trading e non ha alcun ruolo nella risoluzione di questo mercato. · AggiornatoHighest temperature in Guangzhou on July 3?
34°C 27%
33°C 21%
35°C 17%
32°C 10%
27°C or below
1%
28°C
1%
29°C
5%
30°C
7%
31°C
7%
32°C
16%
33°C
21%
34°C
27%
35°C
17%
36°C
5%
37°C or higher
3%
34°C 27%
33°C 21%
35°C 17%
32°C 10%
27°C or below
1%
28°C
1%
29°C
5%
30°C
7%
31°C
7%
32°C
16%
33°C
21%
34°C
27%
35°C
17%
36°C
5%
37°C or higher
3%
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.
Mercato aperto: Jul 1, 2026, 12:03 AM ET
Fonte di risoluzione
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.
Fonte di risoluzione
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGResolver
0x69c47De9D...Recent forecasts from regional models point to typical early-July subtropical monsoon conditions in Guangzhou, with daytime highs centered near 33°C amid high humidity and afternoon convection that can suppress peaks through cloud cover and showers. Trader consensus, reflected in the tight distribution of implied probabilities across 32–34°C outcomes, captures uncertainty in exact maximums driven by variable steering patterns, soil moisture from prior rains, and model spread on timing of any thunderstorm activity. Historical July averages near 32–33°C provide baseline context, while the low odds below 30°C or above 36°C align with the low likelihood of anomalous clear-sky heating or extreme suppression this close to the date. Updated numerical guidance ahead of July 3 will likely refine these near-term probabilities.
Riepilogo sperimentale generato dall'AI con riferimento ai dati di Polymarket. Questo non è un consiglio di trading e non ha alcun ruolo nella risoluzione di questo mercato. · Aggiornato
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