Current forecast models from agencies like Brazil's CPTEC and global ensembles point to a cool June day in São Paulo driven by a passing cold front and increased cloud cover, keeping daytime highs likely between 14–16°C. Recent observations show temperatures several degrees below seasonal normals around 22°C, with light winds and possible showers limiting solar heating and favoring the market's leading 15°C outcome at 30.5% implied probability. Model spread on exact maximums—sensitive to timing of frontal passage and boundary-layer mixing—explains the tight clustering around 14°C and 16°C, while historical June variability underscores why traders assign lower weight to extremes. Updated runs ahead of resolution will refine these projections.
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 June 24?
14°C 100.0%
10°C or below <1%
11°C <1%
12°C <1%
$103,841 Vol.
$103,841 Vol.
10°C or below
No
11°C
No
12°C
No
13°C
No
14°C
Yes
15°C
No
16°C
No
17°C
No
18°C
No
19°C
No
20°C or higher
No
14°C 100.0%
10°C or below <1%
11°C <1%
12°C <1%
$103,841 Vol.
$103,841 Vol.
10°C or below
No
11°C
No
12°C
No
13°C
No
14°C
Yes
15°C
No
16°C
No
17°C
No
18°C
No
19°C
No
20°C or higher
No
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Sao Paulo-Guarulhos International Airport Station, 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 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.
Pasar Dibuka: Jun 22, 2026, 10:03 PM ET
Sumber Resolusi
https://www.wunderground.com/history/daily/br/guarulhos/SBGRResolver
0x69c47De9D...Hasil diajukan: No
Tidak ada sengketa
Hasil akhir: No
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Sao Paulo-Guarulhos International Airport Station, 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 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.
Sumber Resolusi
https://www.wunderground.com/history/daily/br/guarulhos/SBGRResolver
0x69c47De9D...Hasil diajukan: No
Tidak ada sengketa
Hasil akhir: No
Current forecast models from agencies like Brazil's CPTEC and global ensembles point to a cool June day in São Paulo driven by a passing cold front and increased cloud cover, keeping daytime highs likely between 14–16°C. Recent observations show temperatures several degrees below seasonal normals around 22°C, with light winds and possible showers limiting solar heating and favoring the market's leading 15°C outcome at 30.5% implied probability. Model spread on exact maximums—sensitive to timing of frontal passage and boundary-layer mixing—explains the tight clustering around 14°C and 16°C, while historical June variability underscores why traders assign lower weight to extremes. Updated runs ahead of resolution will refine these projections.
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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