Official observations from Brazil's National Institute of Meteorology (INMET) and São Paulo-Guarulhos International Airport weather station confirm the highest temperature reached 29°C on May 6, 2026, driving the market's 100% implied probability on this outcome amid trader consensus backed by real-money positions. A dominant mass of dry air over southeastern Brazil suppressed cloud cover, enabling strong solar insolation and temperatures aligning precisely with INMET's pre-event forecast of 28-29°C maxima under clear skies and low humidity around 60%. This fits early May climatology, where autumn highs average 22-23°C but recent above-normal warmth—tied to lingering subtropical ridge patterns—pushed peaks higher. Scenarios challenging this include potential INMET data revisions from quality control or discrepancies across urban heat island-affected stations, though verified reports from multiple sources make such shifts highly improbable.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日Highest temperature in Sao Paulo on May 6?
29°C 100.0%
24°C or below <1%
25°C <1%
26°C <1%
$38,071 Vol.
$38,071 Vol.
24°C or below
No
25°C
No
26°C
No
27°C
No
28°C
No
29°C
Yes
30°C
No
31°C
No
32°C
No
33°C
No
34°C or higher
No
29°C 100.0%
24°C or below <1%
25°C <1%
26°C <1%
$38,071 Vol.
$38,071 Vol.
24°C or below
No
25°C
No
26°C
No
27°C
No
28°C
No
29°C
Yes
30°C
No
31°C
No
32°C
No
33°C
No
34°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 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.
マーケット開始日: May 4, 2026, 12:17 PM ET
提案された結果: No
異議申し立てなし
最終結果: No
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.
提案された結果: No
異議申し立てなし
最終結果: No
Official observations from Brazil's National Institute of Meteorology (INMET) and São Paulo-Guarulhos International Airport weather station confirm the highest temperature reached 29°C on May 6, 2026, driving the market's 100% implied probability on this outcome amid trader consensus backed by real-money positions. A dominant mass of dry air over southeastern Brazil suppressed cloud cover, enabling strong solar insolation and temperatures aligning precisely with INMET's pre-event forecast of 28-29°C maxima under clear skies and low humidity around 60%. This fits early May climatology, where autumn highs average 22-23°C but recent above-normal warmth—tied to lingering subtropical ridge patterns—pushed peaks higher. Scenarios challenging this include potential INMET data revisions from quality control or discrepancies across urban heat island-affected stations, though verified reports from multiple sources make such shifts highly improbable.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日

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