TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 30, 8:00 AM EST
Polymarket
This market tracks whether the highest temperature recorded in Sao Paulo will reach 21°C or 22°C on May 30, 2026. On Polymarket, the leading outcome of 21°C carries a probability of 30.0%, while the 22°C outcome stands at 24.5%. Resolution will be determined by historical temperature data from Wunderground using readings from the Sao Paulo-Guarulhos International Airport Station. Watch the actual weather conditions as May 30, 2026 approaches to gauge whether typical late autumn temperatures in Sao Paulo will align with either of these specific thresholds.
Prediction market odds on Polymarket reflect real-money trader conviction and often diverge from traditional meteorological forecasts. While weather analysts rely on atmospheric models and historical climate data, prediction markets incorporate forward-looking sentiment and incorporate new information rapidly. Comparing Polymarket probabilities to official forecasts from Brazil's meteorological institute or international weather services can reveal whether traders are pricing in more optimistic or pessimistic temperature scenarios. Market odds tend to be more dynamic and responsive to breaking weather patterns than static analyst predictions.
The market resolves on May 30, 2026, after the highest temperature in Sao Paulo on May 30 has been recorded. Resolution is determined by the actual peak temperature observed in Sao Paulo on that date, measured against the specific temperature thresholds defined in each outcome. Official meteorological data from Brazil's weather authorities or recognized international sources will be used to settle the market. Traders should monitor the exact resolution criteria and data source specified in the market terms to understand how their positions will be settled.
Several factors could shift odds before May 30. Major weather pattern changes, such as cold fronts moving into southern Brazil or high-pressure systems intensifying over the region, would significantly impact temperature expectations. Updated seasonal forecasts from meteorological agencies, El Niño or La Niña developments, and historical temperature anomalies for late May in Sao Paulo all influence trader positioning. As the resolution date approaches, real-time weather radar data, atmospheric pressure trends, and short-range forecasts become increasingly important. Traders actively reassess probabilities as new meteorological information becomes available.