Trader consensus has converged on a 31°C high for Guangzhou on June 13 due to official meteorological observations confirming this peak temperature. Forecasts from regional models anticipated afternoon maxima near 29–32°C amid rainstorms and high humidity typical of early summer in southern China, with cloud cover and precipitation suppressing further warming. This aligns with climatological baselines for mid-June, when daily highs commonly range 30–33°C. The near-certain market pricing reflects real-time station data locking in the daily maximum, leaving minimal room for revision. Only an unexpected late-day spike or measurement discrepancy at primary stations could shift the outcome.
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 13. Juni?
31°C 100.0%
26°C oder weniger <1%
27°C <1%
28°C <1%
$84,411 Vol.
$84,411 Vol.
26°C oder weniger
Nein
27°C
Nein
28°C
Nein
29°C
Nein
30°C
Nein
31°C
Ja
32°C
Nein
33°C
Nein
34°C
Nein
35°C
Nein
36°C oder höher
Nein
31°C 100.0%
26°C oder weniger <1%
27°C <1%
28°C <1%
$84,411 Vol.
$84,411 Vol.
26°C oder weniger
Nein
27°C
Nein
28°C
Nein
29°C
Nein
30°C
Nein
31°C
Ja
32°C
Nein
33°C
Nein
34°C
Nein
35°C
Nein
36°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: Jun 11, 2026, 12:10 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
Trader consensus has converged on a 31°C high for Guangzhou on June 13 due to official meteorological observations confirming this peak temperature. Forecasts from regional models anticipated afternoon maxima near 29–32°C amid rainstorms and high humidity typical of early summer in southern China, with cloud cover and precipitation suppressing further warming. This aligns with climatological baselines for mid-June, when daily highs commonly range 30–33°C. The near-certain market pricing reflects real-time station data locking in the daily maximum, leaving minimal room for revision. Only an unexpected late-day spike or measurement discrepancy at primary stations could shift the outcome.
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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