TOTAL VOLUME:
$134.2b
24H VOL:
$143,246,370
24H TRANSACTIONS:
2,403,290,006
OPEN INTEREST:
$1,452,035,386
405,032
Markets across
30,543
events
MATCHED EVENTS:
2,690
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 27, 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 27 Jun '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 27 Jun '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 reflect the aggregated beliefs of traders with real money at stake, often diverging from traditional meteorological forecasts. While weather analysts rely on numerical models and historical data, this market prices in trader conviction and incorporates late-breaking atmospheric patterns. Comparing the implied probability here to published forecasts from regional meteorological agencies can reveal where the market is more bullish or bearish on extreme temperatures. Such divergences often signal either market inefficiency or information the broader analyst community has not yet fully weighted.
This market resolves around Jun 27, 2026, once the highest temperature recorded in São Paulo on June 27 is confirmed and verifiable from credible public sources. The outcome is determined by comparing the final official temperature reading against the specific thresholds defined in each contract. Resolution typically occurs within hours or days of the event, depending on data availability and platform verification procedures. Traders should monitor official meteorological reports and platform announcements as the date approaches.
Major weather pattern shifts, updated seasonal forecasts, and real-time atmospheric data releases can significantly move odds in this market. Tropical systems, high-pressure ridges, or unexpected cold fronts affecting the region would trigger rapid repricing. Climate indices such as the Southern Oscillation or regional pressure anomalies may also influence trader positioning. Additionally, any revisions to historical temperature records or changes in how the official reading is measured could create volatility. Traders should monitor meteorological agencies and weather models closely for catalysts that could alter the probability distribution.