TOTAL VOLUME:

$134.2b

24H VOL:

$126,324,530

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,434,646,834

406,019

Markets across

30,401

events

MATCHED EVENTS:

2,689

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Highest temperature in Singapore on June 7?
polymarket

Highest temperature in Singapore on June 7?

Volume:
$96,001

31°C

 - Polymarket

31°C - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 7, 2026

Closed: Jun 7, 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

31°C

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$15,546
N/A
N/A
N/A
Settled
Yes
polymarket

30°C

0%
Yes 0¢No 100¢
—
N/A
$20,986
N/A
N/A
N/A
Settled
No
polymarket

33°C

0%
Yes 0¢No 100¢
—
N/A
$15,838
N/A
N/A
N/A
Settled
No
polymarket

34°C

0%
Yes 0¢No 100¢
—
N/A
$13,954
N/A
N/A
N/A
Settled
No
polymarket

29°C

0%
Yes 0¢No 100¢
—
N/A
$12,039
N/A
N/A
N/A
Settled
No
polymarket

32°C

0%
Yes 0¢No 100¢
—
N/A
$9,972
N/A
N/A
N/A
Settled
No
polymarket

28°C

0%
Yes 0¢No 100¢
—
N/A
$4,072
N/A
N/A
N/A
Settled
No
polymarket

35°C or higher

0%
Yes 0¢No 100¢
—
N/A
$2,671
N/A
N/A
N/A
Settled
No
polymarket

25°C or below

0%
Yes 0¢No 100¢
—
N/A
$513
N/A
N/A
N/A
Settled
No
polymarket

27°C

0%
Yes 0¢No 100¢
—
N/A
$302
N/A
N/A
N/A
Settled
No
polymarket

26°C

0%
Yes 0¢No 100¢
—
N/A
$108
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 Singapore Changi Airport Station in degrees Celsius on 7 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 Singapore Changi Airport Station, available here: https://www.wunderground.com/history/daily/sg/singapore/WSSS. 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

Prediction market odds reflect real-money consensus from traders betting on Singapore's June 7 high temperature, while meteorological analyst forecasts rely on climate models and historical patterns. Markets often incorporate analyst predictions but may diverge based on trader conviction and recent weather anomalies. Comparing the two reveals whether the crowd is pricing in more extreme heat or cooler conditions than official forecasters expect. Both sources offer complementary perspectives on likely temperature ranges.

On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Polymarket, the highest temperature in Singapore on June 7 is priced as a set of outcome contracts, each representing a specific temperature range or threshold. Traders buy and sell shares in outcomes they believe will occur, with prices reflecting the collective probability assigned by the market. Liquidity and volume determine how easily traders can enter or exit positions. Price discovery happens continuously as new weather data and seasonal forecasts influence participant expectations.

The market resolves on Jun 7, 2026, after the highest temperature in Singapore on June 7, 2026 has been recorded and verified. Resolution is determined by official meteorological data from Singapore's national weather authority. The outcome is the single highest temperature reading reported for that calendar day. Once the data is confirmed and the resolution criteria are met, the market settles and winning positions are paid out according to the outcome that occurred.

Major weather pattern shifts, monsoon onset timing, and tropical storm activity in Southeast Asia could significantly move odds. Updated seasonal forecasts from meteorological agencies, El Niño or La Niña developments, and real-time atmospheric pressure systems will influence trader expectations. As June 7 approaches, daily weather models become more precise, typically tightening the range of expected temperatures. Urban heat island effects and local pollution levels may also be priced in by informed traders monitoring Singapore-specific climate data.