Forecast models from authoritative meteorological sources project a daily maximum of 32°C in Guangzhou on September 11, driving the market-implied odds near 100% for this outcome. Stable northerly flow, mostly clear skies, and moderate humidity support peak afternoon temperatures matching this level, consistent with September climatology where average highs hover near 32°C. Trader consensus reflects the tight alignment across ensemble forecasts, with minimal spread in predicted maxima. A realistic shift could arise from earlier-than-expected convective clouds or localized showers reducing insolation, though current conditions indicate low probability of such changes before resolution.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于9月11日广州气温最高?
32°C 100.0%
26°C或以下 <1%
27°C <1%
28°C <1%
$41,166 交易量
$41,166 交易量
26°C或以下
否
27°C
否
28°C
否
29°C
否
30°C
否
31°C
否
32°C
是
33°C
否
34°C
否
35°C
否
36°C或更高
否
32°C 100.0%
26°C或以下 <1%
27°C <1%
28°C <1%
$41,166 交易量
$41,166 交易量
26°C或以下
否
27°C
否
28°C
否
29°C
否
30°C
否
31°C
否
32°C
是
33°C
否
34°C
否
35°C
否
36°C或更高
否
The resolution source for this market will be information from NOAA, specifically the highest reading under the "Temp" column for all times on this day, available here: https://www.weather.gov/wrh/timeseries?site=zggg
If NOAA data for the observation date is unavailable by 11:59 PM ET on the day following the observation date, the Weather Underground Daily Observations table will be used as the resolution source.
In the event that there is no data for the observation date by 11:59 PM ET on the day following the observation date, this market will resolve to the lowest bracket.
To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °C.
This market will resolve once the first data point for the following date has been published on the resolution source, or by 11:59 PM ET on the day following the observation date, whichever comes first.
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.
市场开放时间: Sep 9, 2026, 12:58 AM ET
已提议结果: 否
无争议
最终结果: 否
The resolution source for this market will be information from NOAA, specifically the highest reading under the "Temp" column for all times on this day, available here: https://www.weather.gov/wrh/timeseries?site=zggg
If NOAA data for the observation date is unavailable by 11:59 PM ET on the day following the observation date, the Weather Underground Daily Observations table will be used as the resolution source.
In the event that there is no data for the observation date by 11:59 PM ET on the day following the observation date, this market will resolve to the lowest bracket.
To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °C.
This market will resolve once the first data point for the following date has been published on the resolution source, or by 11:59 PM ET on the day following the observation date, whichever comes first.
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.
已提议结果: 否
无争议
最终结果: 否
Forecast models from authoritative meteorological sources project a daily maximum of 32°C in Guangzhou on September 11, driving the market-implied odds near 100% for this outcome. Stable northerly flow, mostly clear skies, and moderate humidity support peak afternoon temperatures matching this level, consistent with September climatology where average highs hover near 32°C. Trader consensus reflects the tight alignment across ensemble forecasts, with minimal spread in predicted maxima. A realistic shift could arise from earlier-than-expected convective clouds or localized showers reducing insolation, though current conditions indicate low probability of such changes before resolution.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于
警惕外部链接哦。
警惕外部链接哦。
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