Current forecasts from Brazil’s National Institute of Meteorology (INMET) and global models indicate a daytime maximum near 23–24 °C in São Paulo on June 9, consistent with early austral winter conditions featuring light southeasterly flow and variable cloud cover that limit daytime heating close to the long-term June average high of roughly 22 °C. Slightly above-average temperatures expected across the Southeast region support modest upward pressure on the 24 °C and 25 °C outcomes, while stable high-pressure patterns reduce the likelihood of stronger warming or cooling deviations. Traders are weighting these model consensus runs heavily, with resolution depending on official maximum readings at established urban stations.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · UpdatedHighest temperature in Sao Paulo on June 9?
24°C 47%
25°C 28%
23°C 26%
22°C 3.4%
$10,636 Vol.
$10,636 Vol.
19°C or below
<1%
20°C
<1%
21°C
<1%
22°C
3%
23°C
26%
24°C
47%
25°C
28%
26°C
1%
27°C
<1%
28°C
<1%
29°C or higher
<1%
24°C 47%
25°C 28%
23°C 26%
22°C 3.4%
$10,636 Vol.
$10,636 Vol.
19°C or below
<1%
20°C
<1%
21°C
<1%
22°C
3%
23°C
26%
24°C
47%
25°C
28%
26°C
1%
27°C
<1%
28°C
<1%
29°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 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.
Market Opened: Jun 7, 2026, 9:03 PM ET
Resolution Source
https://www.wunderground.com/history/daily/br/guarulhos/SBGRResolver
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 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.
Resolution Source
https://www.wunderground.com/history/daily/br/guarulhos/SBGRResolver
0x69c47De9D...Current forecasts from Brazil’s National Institute of Meteorology (INMET) and global models indicate a daytime maximum near 23–24 °C in São Paulo on June 9, consistent with early austral winter conditions featuring light southeasterly flow and variable cloud cover that limit daytime heating close to the long-term June average high of roughly 22 °C. Slightly above-average temperatures expected across the Southeast region support modest upward pressure on the 24 °C and 25 °C outcomes, while stable high-pressure patterns reduce the likelihood of stronger warming or cooling deviations. Traders are weighting these model consensus runs heavily, with resolution depending on official maximum readings at established urban stations.
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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