TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 16, 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 16 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 16 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 collective judgment of traders betting real capital, whereas traditional weather analysts rely on numerical models and historical patterns. This market aggregates dispersed information from participants with direct financial incentive to forecast accurately. While meteorologists publish point estimates and confidence intervals, prediction markets distill those inputs—plus market sentiment and late-breaking data—into a single probability. Comparing the two reveals whether traders are pricing in more or less optimism about extreme temperatures than the consensus forecast suggests.
This market resolves around Jun 16, 2026, once the highest temperature recorded in São Paulo on that date becomes verifiable from credible public sources. The outcome is determined by official meteorological data, typically reported by Brazil's national weather service or internationally recognized monitoring stations. Once the event concludes and the temperature is confirmed, the market settles automatically, with winning shares paid out at full value and losing shares expiring worthless. Resolution is straightforward and objective, leaving no ambiguity about which outcome occurred.
Major weather pattern shifts, updated seasonal forecasts, and real-time atmospheric conditions will drive significant price swings in this market. Tropical weather systems, cold fronts, or unusual pressure patterns affecting the South Atlantic could reshape trader expectations. As June 16 approaches, actual daily temperatures in the preceding week will anchor forecasts more tightly to observed conditions. Additionally, any anomalies in global climate indices or regional heat waves could trigger rapid repricing. Traders will continuously incorporate new meteorological data, making the market highly responsive to evolving weather intelligence.