This market will resolve based on the highest temperature recorded in the 'Daily Observations' table on Weather Underground, not the figure displayed in the 'Day High & Low' summary section; in the event of any discrepancy between the two, the Daily Observations table shall be the primary resolution source not the Day High & Low section. This market will resolve to the temperature range that contains the highest temperature recorded at the Singapore Changi Airport Station in degrees Celsius on 15 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 Singapore Changi Airport Station, available here: https://www.wunderground.com/history/daily/sg/singapore/WSSS. 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.
The market-implied odds favor a highest temperature of 32–33°C in Singapore on August 15 primarily because the prevailing southwest monsoon pattern sustains typical hot, humid conditions with daytime maxima in the low-to-mid 30s. Official outlooks from the Meteorological Service Singapore project 33–34°C for much of early-to-mid August amid drier, occasionally windy weather, consistent with climatological averages near 31°C and recent observations around 32°C. Localized thundery showers, common in the afternoon, introduce variability that can cap peaks, while the urban heat island effect in Singapore supports elevated readings. Traders appear to weigh these factors against short-term forecast uncertainty, with updated model runs from NEA and global ensembles likely to refine probabilities ahead of the date.