Recent numerical weather prediction models point to a highest temperature of 12–14 °C in Buenos Aires on July 1, aligning with the market’s heaviest weighting toward those outcomes. Key variables include the strength and position of a surface high-pressure system over the South Atlantic, which favors southerly flow of cooler maritime air, combined with limited insolation typical of mid-winter and variable low-level cloud cover that can suppress daytime maxima by 1–2 °C. Model spread remains notable because small shifts in the timing of any frontal passage or changes in boundary-layer mixing can alter the daily peak by several degrees. Traders appear to be pricing in this forecast uncertainty rather than climatological averages near 15 °C.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · UpdatedHighest temperature in Buenos Aires on July 1?
15°C 100.0%
7°C or below <1%
8°C <1%
9°C <1%
$54,545 Vol.
$54,545 Vol.
7°C or below
No
8°C
No
9°C
No
10°C
No
11°C
No
12°C
No
13°C
No
14°C
No
15°C
Yes
16°C
No
17°C or higher
No
15°C 100.0%
7°C or below <1%
8°C <1%
9°C <1%
$54,545 Vol.
$54,545 Vol.
7°C or below
No
8°C
No
9°C
No
10°C
No
11°C
No
12°C
No
13°C
No
14°C
No
15°C
Yes
16°C
No
17°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 Minister Pistarini Intl Airport Station, available here: https://www.wunderground.com/history/daily/ar/ezeiza/SAEZ.
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 29, 2026, 9:01 PM ET
Resolution Source
https://www.wunderground.com/history/daily/ar/ezeiza/SAEZResolver
0x69c47De9D...Outcome proposed: No
No dispute
Final outcome: 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 Minister Pistarini Intl Airport Station, available here: https://www.wunderground.com/history/daily/ar/ezeiza/SAEZ.
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/ar/ezeiza/SAEZResolver
0x69c47De9D...Outcome proposed: No
No dispute
Final outcome: No
Recent numerical weather prediction models point to a highest temperature of 12–14 °C in Buenos Aires on July 1, aligning with the market’s heaviest weighting toward those outcomes. Key variables include the strength and position of a surface high-pressure system over the South Atlantic, which favors southerly flow of cooler maritime air, combined with limited insolation typical of mid-winter and variable low-level cloud cover that can suppress daytime maxima by 1–2 °C. Model spread remains notable because small shifts in the timing of any frontal passage or changes in boundary-layer mixing can alter the daily peak by several degrees. Traders appear to be pricing in this forecast uncertainty rather than climatological averages near 15 °C.
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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