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 Sao Paulo-Guarulhos International Airport Station in degrees Celsius on 22 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.
Typical winter conditions in São Paulo during late August place daily highs near the historical average of 22–25°C under the influence of a stable subtropical high-pressure system and dry air masses. Current forecast models from agencies like INMET show minimal deviation from these norms, with no strong cold fronts or warming advection expected to shift the maximum far from 21–23°C. This clustering of market-implied probabilities around 22°C (40%) reflects the narrow uncertainty range typical for short-range temperature forecasts in the region’s mild dry season, where diurnal swings are modest and variability stems mainly from subtle changes in cloud cover or wind patterns. Updated model runs over the next 24 hours could refine these odds if steering flows or boundary-layer conditions evolve.