Current meteorological models and observational data position a maximum of 22°C as the most probable outcome for São Paulo on May 17, reflecting typical late-autumn conditions with daytime highs averaging 22–23°C. Stable high-pressure systems and moderate humidity levels have limited convective activity, keeping temperatures from exceeding seasonal norms or dropping sharply overnight. Recent model consensus from global ensembles shows minimal day-to-day variability, with wind patterns favoring gradual warming rather than rapid shifts. Traders’ heavy weighting toward 22°C captures this steady baseline, while the modest probability for 23°C or higher accounts for any localized urban heat effects or slight forecast adjustments before resolution.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · DiperbaruiHighest temperature in Sao Paulo on May 17?
22°C 77.0%
23°C or higher 26%
13°C or below <1%
14°C <1%
$51,530 Vol.
$51,530 Vol.
13°C or below
<1%
14°C
<1%
15°C
<1%
16°C
<1%
17°C
<1%
18°C
<1%
19°C
<1%
20°C
<1%
21°C
<1%
22°C
77%
23°C or higher
26%
22°C 77.0%
23°C or higher 26%
13°C or below <1%
14°C <1%
$51,530 Vol.
$51,530 Vol.
13°C or below
<1%
14°C
<1%
15°C
<1%
16°C
<1%
17°C
<1%
18°C
<1%
19°C
<1%
20°C
<1%
21°C
<1%
22°C
77%
23°C or higher
26%
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 Sao Paulo-Guarulhos International Airport Station once information is finalized, available here: https://www.wunderground.com/history/daily/br/guarulhos/SBGR.
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.
Pasar Dibuka: May 15, 2026, 12:03 AM ET
Sumber Resolusi
https://www.wunderground.com/history/daily/br/guarulhos/SBGRThe 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 Sao Paulo-Guarulhos International Airport Station once information is finalized, available here: https://www.wunderground.com/history/daily/br/guarulhos/SBGR.
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.
Sumber Resolusi
https://www.wunderground.com/history/daily/br/guarulhos/SBGRCurrent meteorological models and observational data position a maximum of 22°C as the most probable outcome for São Paulo on May 17, reflecting typical late-autumn conditions with daytime highs averaging 22–23°C. Stable high-pressure systems and moderate humidity levels have limited convective activity, keeping temperatures from exceeding seasonal norms or dropping sharply overnight. Recent model consensus from global ensembles shows minimal day-to-day variability, with wind patterns favoring gradual warming rather than rapid shifts. Traders’ heavy weighting toward 22°C captures this steady baseline, while the modest probability for 23°C or higher accounts for any localized urban heat effects or slight forecast adjustments before resolution.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui
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