The southwest monsoon pattern prevailing over Singapore this fortnight, with drier and occasionally windy conditions, is the main factor anchoring trader sentiment around a 32–33°C high on August 15. National Environment Agency outlooks note daily maxima typically reaching 33–34°C under these conditions, consistent with long-term August averages near 31°C and recent station readings of 32–34°C. Localized afternoon thundery showers can briefly suppress peaks, while model consensus from regional guidance favors minimal deviation from this narrow band. With resolution hinging on the official Meteorological Service Singapore maximum, the tight clustering of implied probabilities reflects both climatological stability and limited upside potential for extremes before the date.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日8月15日のシンガポールの最高気温は?
32°C 47%
33°C 30%
31°C 16%
30°C 6%
$16,720 Vol.
$16,720 Vol.
28°C or below
<1%
29°C
<1%
30°C
6%
31°C
16%
32°C
47%
33°C
30%
34°C
3%
35°C
<1%
36°C
<1%
37°C
<1%
38°C or higher
<1%
32°C 47%
33°C 30%
31°C 16%
30°C 6%
$16,720 Vol.
$16,720 Vol.
28°C or below
<1%
29°C
<1%
30°C
6%
31°C
16%
32°C
47%
33°C
30%
34°C
3%
35°C
<1%
36°C
<1%
37°C
<1%
38°C or higher
<1%
This market will resolve to the temperature range that contains the highest temperature recorded at the Singapore Changi Airport Station in degrees Celsius on 15 Aug '26.
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Singapore Changi Airport Station, available here: https://www.wunderground.com/history/daily/sg/singapore/WSSS.
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.
マーケット開始日: Aug 13, 2026, 12:56 AM ET
This market will resolve to the temperature range that contains the highest temperature recorded at the Singapore Changi Airport Station in degrees Celsius on 15 Aug '26.
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Singapore Changi Airport Station, available here: https://www.wunderground.com/history/daily/sg/singapore/WSSS.
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.
The southwest monsoon pattern prevailing over Singapore this fortnight, with drier and occasionally windy conditions, is the main factor anchoring trader sentiment around a 32–33°C high on August 15. National Environment Agency outlooks note daily maxima typically reaching 33–34°C under these conditions, consistent with long-term August averages near 31°C and recent station readings of 32–34°C. Localized afternoon thundery showers can briefly suppress peaks, while model consensus from regional guidance favors minimal deviation from this narrow band. With resolution hinging on the official Meteorological Service Singapore maximum, the tight clustering of implied probabilities reflects both climatological stability and limited upside potential for extremes before the date.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日


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