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%

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Highest temperature in Sao Paulo on June 27?
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Highest temperature in Sao Paulo on June 27?

Volume:
$35,437

24°C

 - Polymarket

24°C - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 28, 2026

Closed: Jun 27, 8:00 AM EST

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Polymarket

View
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
polymarket

24°C

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$7,574
N/A
N/A
N/A
Settled
Yes
polymarket

23°C

0%
Yes 0¢No 100¢
—
N/A
$6,636
N/A
N/A
N/A
Settled
No
polymarket

25°C

0%
Yes 0¢No 100¢
—
N/A
$5,073
N/A
N/A
N/A
Settled
No
polymarket

22°C

0%
Yes 0¢No 100¢
—
N/A
$3,559
N/A
N/A
N/A
Settled
No
polymarket

26°C

0%
Yes 0¢No 100¢
—
N/A
$3,316
N/A
N/A
N/A
Settled
No
polymarket

21°C

0%
Yes 0¢No 100¢
—
N/A
$2,842
N/A
N/A
N/A
Settled
No
polymarket

27°C or higher

0%
Yes 0¢No 100¢
—
N/A
$2,620
N/A
N/A
N/A
Settled
No
polymarket

20°C

0%
Yes 0¢No 100¢
—
N/A
$1,654
N/A
N/A
N/A
Settled
No
polymarket

19°C

0%
Yes 0¢No 100¢
—
N/A
$1,081
N/A
N/A
N/A
Settled
No
polymarket

18°C

0%
Yes 0¢No 100¢
—
N/A
$747
N/A
N/A
N/A
Settled
No
polymarket

17°C or below

0%
Yes 0¢No 100¢
—
N/A
$335
N/A
N/A
N/A
Settled
No
Total markets: 11

Description

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.

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.

Frequently asked questions

The São Paulo temperature market dashboard on Polymarket tracks real-time odds and historical price movements for the highest temperature forecast in São Paulo on June 27. Traders use this data to monitor how market participants are pricing the likelihood of various temperature thresholds. The dashboard displays current odds, 24-hour volume activity, and cumulative trading interest, giving you a live snapshot of collective expectations around this specific weather event. This transparency helps traders identify shifts in sentiment as new meteorological data emerges closer to the resolution date.

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.