Official meteorological observations from Brazil's INMET network recorded a daily maximum of 28°C in São Paulo on August 6, aligning with the market's near-certain 99.7% implied probability. August climatology typically features highs near 23–25°C under stable subtropical high pressure, but recent model consensus and surface analyses indicated slightly warmer conditions without significant cold fronts or enhanced cloud cover. This outcome reflects real-time station data rather than forecasts, with traders incorporating verified readings once available. Rare challenges could arise only from post-event data revisions due to instrumentation calibration or station relocation, though such adjustments are uncommon for established urban networks and rarely exceed 1°C.
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8月6日のサンパウロの最高気温は?
28°C 100.0%
21°C or below <1%
22°C <1%
23°C <1%
$44,940 Vol.
$44,940 Vol.
21°C or below
No
22°C
No
23°C
No
24°C
No
25°C
No
26°C
No
27°C
No
28°C
Yes
29°C
No
30°C
No
31°C or higher
No
28°C 100.0%
21°C or below <1%
22°C <1%
23°C <1%
$44,940 Vol.
$44,940 Vol.
21°C or below
No
22°C
No
23°C
No
24°C
No
25°C
No
26°C
No
27°C
No
28°C
Yes
29°C
No
30°C
No
31°C or higher
No
This market will resolve to the temperature range that contains the highest temperature recorded at the Sao Paulo-Guarulhos International Airport Station in degrees Celsius on 6 Aug '26.
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.
マーケット開始日: Aug 4, 2026, 9:02 PM ET
提案された結果: No
異議申し立てなし
最終結果: No
This market will resolve to the temperature range that contains the highest temperature recorded at the Sao Paulo-Guarulhos International Airport Station in degrees Celsius on 6 Aug '26.
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.
提案された結果: No
異議申し立てなし
最終結果: No
Official meteorological observations from Brazil's INMET network recorded a daily maximum of 28°C in São Paulo on August 6, aligning with the market's near-certain 99.7% implied probability. August climatology typically features highs near 23–25°C under stable subtropical high pressure, but recent model consensus and surface analyses indicated slightly warmer conditions without significant cold fronts or enhanced cloud cover. This outcome reflects real-time station data rather than forecasts, with traders incorporating verified readings once available. Rare challenges could arise only from post-event data revisions due to instrumentation calibration or station relocation, though such adjustments are uncommon for established urban networks and rarely exceed 1°C.
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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