Singapore’s July maximum temperatures typically hover near 31°C under southwest monsoon conditions, with the National Environment Agency noting 33–34°C potential on clearer days but frequent late-morning thundery showers that limit peaks. Recent daily highs, including a confirmed 30°C on July 22, underscore how localized convection and cloud cover can suppress readings by 1–3°C below model guidance. With trader-implied probabilities tightly clustered around 30–32°C, uncertainty centers on whether reduced shower activity on the 27th allows brief clearing for higher values or persistent moisture caps the day’s peak, consistent with climatological variability and ongoing model consensus from agencies like the Meteorological Service Singapore.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten. Dies ist keine Handelsberatung und spielt keine Rolle bei der Auflösung dieses Marktes. · AktualisiertHöchste Temperatur in Singapur am 27. Juli?
31°C 57%
30°C 20%
32°C 19%
29°C 6%
$24,673 Vol.
$24,673 Vol.
25°C oder darunter
<1%
26°C
<1%
27°C
<1%
28°C
<1%
29°C
6%
30°C
20%
31°C
57%
32°C
19%
33°C
3%
34°C
<1%
35°C oder höher
<1%
31°C 57%
30°C 20%
32°C 19%
29°C 6%
$24,673 Vol.
$24,673 Vol.
25°C oder darunter
<1%
26°C
<1%
27°C
<1%
28°C
<1%
29°C
6%
30°C
20%
31°C
57%
32°C
19%
33°C
3%
34°C
<1%
35°C oder höher
<1%
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.
Markt eröffnet: Jul 25, 2026, 12:03 AM ET
Abwicklungsquelle
https://www.wunderground.com/history/daily/sg/singapore/WSSSResolver
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 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.
Abwicklungsquelle
https://www.wunderground.com/history/daily/sg/singapore/WSSSResolver
0x69c47De9D...Singapore’s July maximum temperatures typically hover near 31°C under southwest monsoon conditions, with the National Environment Agency noting 33–34°C potential on clearer days but frequent late-morning thundery showers that limit peaks. Recent daily highs, including a confirmed 30°C on July 22, underscore how localized convection and cloud cover can suppress readings by 1–3°C below model guidance. With trader-implied probabilities tightly clustered around 30–32°C, uncertainty centers on whether reduced shower activity on the 27th allows brief clearing for higher values or persistent moisture caps the day’s peak, consistent with climatological variability and ongoing model consensus from agencies like the Meteorological Service Singapore.
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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