TOTAL VOLUME:

$134.1b

24H VOL:

$133,388,117

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,436,095,462

405,232

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30,526

events

MATCHED EVENTS:

2,693

PLATFORM COVERAGE:

5

Polymarket:

39%

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Kalshi:

61%

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Highest temperature in Singapore on June 4?
polymarket

Highest temperature in Singapore on June 4?

Volume:
$79,067

34°C

 - Polymarket

34°C - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 4, 2026

Closed: Jun 4, 8:00 AM EST

polymarket

Polymarket

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

34°C

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$16,853
N/A
N/A
N/A
Settled
Yes
polymarket

33°C

0%
Yes 0¢No 100¢
—
N/A
$15,644
N/A
N/A
N/A
Settled
No
polymarket

35°C

0%
Yes 0¢No 100¢
—
N/A
$11,448
N/A
N/A
N/A
Settled
No
polymarket

31°C

0%
Yes 0¢No 100¢
—
N/A
$7,815
N/A
N/A
N/A
Settled
No
polymarket

32°C

0%
Yes 0¢No 100¢
—
N/A
$7,782
N/A
N/A
N/A
Settled
No
polymarket

30°C

0%
Yes 0¢No 100¢
—
N/A
$6,263
N/A
N/A
N/A
Settled
No
polymarket

29°C

0%
Yes 0¢No 100¢
—
N/A
$4,701
N/A
N/A
N/A
Settled
No
polymarket

36°C or higher

0%
Yes 0¢No 100¢
—
N/A
$3,940
N/A
N/A
N/A
Settled
No
polymarket

28°C

0%
Yes 0¢No 100¢
—
N/A
$1,758
N/A
N/A
N/A
Settled
No
polymarket

27°C

0%
Yes 0¢No 100¢
—
N/A
$1,445
N/A
N/A
N/A
Settled
No
polymarket

26°C or below

0%
Yes 0¢No 100¢
—
N/A
$1,418
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 4 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

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 4 is priced through a set of outcome shares, each representing a specific temperature range or threshold. Traders buy and sell these shares, and the price of each reflects its implied probability. The market uses an automated market maker or order-book mechanism to determine prices based on supply and demand. As traders update their views on Singapore's weather conditions, atmospheric patterns, and seasonal climate data, prices adjust in real time, allowing you to see the collective forecast encoded in the odds.

The market resolves on Jun 4, 2026, after the highest temperature in Singapore on June 4 has been recorded and verified. Resolution depends on official temperature data from Singapore's meteorological authority or designated weather station. The actual peak temperature recorded on that date determines which outcome share wins. Once the data is confirmed and the market settles, traders holding winning shares receive their payout based on the final odds at which they held their position.

Several factors can shift odds for Singapore's highest temperature on June 4. Major weather pattern changes—such as monsoon onset, tropical storm activity, or shifts in regional pressure systems—will influence trader expectations. Updated seasonal forecasts from meteorological agencies can trigger repricing. Unusual atmospheric conditions weeks before the event, such as El Niño or La Niña effects, may alter baseline temperature expectations. As June 4 approaches, short-term weather models become more reliable, typically causing odds to converge around more precise forecasts. Real-time atmospheric data and any extreme weather alerts will also drive market movement.