TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 6, 8:00 AM EST
Polymarket
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 6 Jul '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.
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 6 Jul '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.
Prediction market odds often diverge from traditional meteorological forecasts because they incorporate real-time trader behavior and risk appetite alongside expert models. While weather analysts rely on atmospheric data and historical patterns, this market aggregates the financial commitments of participants who stand to gain or lose based on the outcome. Comparing the implied probability from market odds to official forecasts from Brazil's meteorological institutes can reveal whether traders are pricing in more or less uncertainty than experts expect. Both sources offer valuable but distinct perspectives on the likely temperature range.
This market resolves around Jul 6, 2026, once the highest temperature recorded in São Paulo on July 6 is confirmed and verifiable from credible public sources. The outcome is determined by the actual peak temperature reading for that day, measured at an official weather station or recognized meteorological authority. Resolution occurs after the event date when final data is available and the platform can settle all positions. Traders who correctly predicted the temperature range or threshold win their shares at full value, while incorrect predictions expire worthless.
Major weather pattern shifts, updated seasonal forecasts, and atmospheric anomalies can significantly influence trading activity. If meteorological agencies issue revised predictions for July conditions in São Paulo, traders may reassess their positions. Real-time weather alerts, tropical system developments, or unexpected climate events in the Southern Hemisphere could trigger sharp price movements. Additionally, historical temperature records and recent trend data often prompt traders to adjust their bids. As the event date approaches, any new forecast updates or model consensus changes will likely drive volatility in this market.