NEA's latest fortnightly outlook for 30 April–14 May 2026 forecasts daily maximum temperatures of 33–35°C across most days in Singapore, with potential to exceed 35°C occasionally amid persistent inter-monsoon conditions featuring light winds and afternoon thundery showers. This drives trader consensus toward 32–34°C outcomes, as showers and cloud cover often cap peak heating around early afternoon at the official Changi measurement station, introducing uncertainty that keeps 32°C (23%) and 33°C (22%) narrowly ahead of 31°C and 34°C. Above-average rainfall, including possible Sumatra squalls, heightens variability in solar insolation and urban heat buildup, while daily NEA updates could refine exact peaks before May 3 resolution. Historical May averages near 32°C align with this tight clustering.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · UpdatedHighest temperature in Singapore on May 3?
Highest temperature in Singapore on May 3?
32°C 38%
33°C 27%
31°C 20%
34°C 11%
25°C or below
<1%
26°C
<1%
27°C
<1%
28°C
1%
29°C
2%
30°C
6%
31°C
20%
32°C
38%
33°C
27%
34°C
11%
35°C or higher
1%
32°C 38%
33°C 27%
31°C 20%
34°C 11%
25°C or below
<1%
26°C
<1%
27°C
<1%
28°C
1%
29°C
2%
30°C
6%
31°C
20%
32°C
38%
33°C
27%
34°C
11%
35°C or higher
1%
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day by the Forecast for the Singapore Changi Airport Station once information is finalized, 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 to "Yes" until all data for this date has been finalized.
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.
Any revisions to temperatures recorded after data is finalized for this market's timeframe will not be considered for this market's resolution.
Market Opened: May 1, 2026, 12:14 AM ET
Resolution Source
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 by the Forecast for the Singapore Changi Airport Station once information is finalized, 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 to "Yes" until all data for this date has been finalized.
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.
Any revisions to temperatures recorded after data is finalized for this market's timeframe will not be considered for this market's resolution.
Resolution Source
https://www.wunderground.com/history/daily/sg/singapore/WSSSResolver
0x69c47De9D...NEA's latest fortnightly outlook for 30 April–14 May 2026 forecasts daily maximum temperatures of 33–35°C across most days in Singapore, with potential to exceed 35°C occasionally amid persistent inter-monsoon conditions featuring light winds and afternoon thundery showers. This drives trader consensus toward 32–34°C outcomes, as showers and cloud cover often cap peak heating around early afternoon at the official Changi measurement station, introducing uncertainty that keeps 32°C (23%) and 33°C (22%) narrowly ahead of 31°C and 34°C. Above-average rainfall, including possible Sumatra squalls, heightens variability in solar insolation and urban heat buildup, while daily NEA updates could refine exact peaks before May 3 resolution. Historical May averages near 32°C align with this tight clustering.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated
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