Recent Pakistan Meteorological Department outlooks indicate above-normal temperatures across Sindh through the July-August period, supporting trader focus on 32–33°C outcomes for Karachi on July 18 amid the southwest monsoon. Subtle differences between these levels hinge on cloud cover, sea-breeze strength, and localized moisture convergence, which can suppress daytime heating by 1–2°C or allow clearer skies to push readings higher. Current surface observations near 30°C with hazy conditions and light showers align with historical July averages of 31–33°C highs, while below-normal rainfall forecasts reduce evaporative cooling potential. Short-range model consensus will clarify exact maxima before resolution at official stations.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · DiperbaruiHighest temperature in Karachi on July 18?
33°C 100.0%
27°C or below <1%
28°C <1%
29°C <1%
$29,351 Vol.
$29,351 Vol.
27°C or below
No
28°C
No
29°C
No
30°C
No
31°C
No
32°C
No
33°C
Yes
34°C
No
35°C
No
36°C
No
37°C or higher
No
33°C 100.0%
27°C or below <1%
28°C <1%
29°C <1%
$29,351 Vol.
$29,351 Vol.
27°C or below
No
28°C
No
29°C
No
30°C
No
31°C
No
32°C
No
33°C
Yes
34°C
No
35°C
No
36°C
No
37°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 Masroor Airbase Station, available here: https://www.wunderground.com/history/daily/pk/karachi/OPKC.
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: Jul 16, 2026, 1:05 AM ET
Sumber Resolusi
https://www.wunderground.com/history/daily/pk/karachi/OPKCResolver
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 Masroor Airbase Station, available here: https://www.wunderground.com/history/daily/pk/karachi/OPKC.
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/pk/karachi/OPKCResolver
0x69c47De9D...Hasil diajukan: No
Tidak ada sengketa
Hasil akhir: No
Recent Pakistan Meteorological Department outlooks indicate above-normal temperatures across Sindh through the July-August period, supporting trader focus on 32–33°C outcomes for Karachi on July 18 amid the southwest monsoon. Subtle differences between these levels hinge on cloud cover, sea-breeze strength, and localized moisture convergence, which can suppress daytime heating by 1–2°C or allow clearer skies to push readings higher. Current surface observations near 30°C with hazy conditions and light showers align with historical July averages of 31–33°C highs, while below-normal rainfall forecasts reduce evaporative cooling potential. Short-range model consensus will clarify exact maxima before resolution at official stations.
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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