Southwest monsoon (Habagat) conditions, with frequent afternoon convective activity and variable cloud cover, are the main driver keeping market-implied odds tightly clustered between 32°C (30.5%) and 33°C (28.5%) for Manila's July 17 maximum. PAGASA guidance and ensemble models indicate a baseline high near 32°C amid typical July humidity and scattered showers or thunderstorms that can suppress peak heating by several degrees depending on timing and coverage. Historical climatology places Manila July maxima around 31°C, but urban heat-island effects and short-term fluctuations in insolation create the narrow spread across 31–34°C outcomes. Updated model runs and official forecasts over the next 48 hours will likely resolve the leading probabilities.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jourTempérature la plus élevée à Manille le 17 juillet ?
33°C 35%
32°C 33%
31°C 19%
34°C 14%
27°C ou moins
1%
28°C
1%
29 °C
8%
30°C
10%
31°C
19%
32°C
33%
33°C
35%
34°C
14%
35°C
3%
36°C
1%
37°C ou plus
1%
33°C 35%
32°C 33%
31°C 19%
34°C 14%
27°C ou moins
1%
28°C
1%
29 °C
8%
30°C
10%
31°C
19%
32°C
33%
33°C
35%
34°C
14%
35°C
3%
36°C
1%
37°C ou plus
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 Ninoy Aquino International Airport Station, available here: https://www.wunderground.com/history/daily/ph/manila/RPLL.
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.
Marché ouvert : Jul 15, 2026, 12:05 AM ET
Source de résolution
https://www.wunderground.com/history/daily/ph/manila/RPLLResolver
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 Ninoy Aquino International Airport Station, available here: https://www.wunderground.com/history/daily/ph/manila/RPLL.
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.
Source de résolution
https://www.wunderground.com/history/daily/ph/manila/RPLLResolver
0x69c47De9D...Southwest monsoon (Habagat) conditions, with frequent afternoon convective activity and variable cloud cover, are the main driver keeping market-implied odds tightly clustered between 32°C (30.5%) and 33°C (28.5%) for Manila's July 17 maximum. PAGASA guidance and ensemble models indicate a baseline high near 32°C amid typical July humidity and scattered showers or thunderstorms that can suppress peak heating by several degrees depending on timing and coverage. Historical climatology places Manila July maxima around 31°C, but urban heat-island effects and short-term fluctuations in insolation create the narrow spread across 31–34°C outcomes. Updated model runs and official forecasts over the next 48 hours will likely resolve the leading probabilities.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jour



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