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%

BETA
Dashboards
Tour
All
Highest temperature in Singapore on June 1?
polymarket

Highest temperature in Singapore on June 1?

Volume:
$76,931

31°C

 - Polymarket

31°C - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 1, 2026

Closed: Jun 1, 8:00 AM EST

polymarket

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
$19,829
N/A
N/A
N/A
Settled
Yes
polymarket

33°C

0%
Yes 0¢No 100¢
—
N/A
$13,010
N/A
N/A
N/A
Settled
No
polymarket

30°C

0%
Yes 0¢No 100¢
—
N/A
$12,561
N/A
N/A
N/A
Settled
No
polymarket

34°C

0%
Yes 0¢No 100¢
—
N/A
$10,090
N/A
N/A
N/A
Settled
No
polymarket

32°C

0%
Yes 0¢No 100¢
—
N/A
$8,952
N/A
N/A
N/A
Settled
No
polymarket

29°C

0%
Yes 0¢No 100¢
—
N/A
$6,612
N/A
N/A
N/A
Settled
No
polymarket

35°C

0%
Yes 0¢No 100¢
—
N/A
$2,479
N/A
N/A
N/A
Settled
No
polymarket

28°C

0%
Yes 0¢No 100¢
—
N/A
$1,399
N/A
N/A
N/A
Settled
No
polymarket

36°C or higher

0%
Yes 0¢No 100¢
—
N/A
$1,111
N/A
N/A
N/A
Settled
No
polymarket

27°C

0%
Yes 0¢No 100¢
—
N/A
$487
N/A
N/A
N/A
Settled
No
polymarket

26°C or below

0%
Yes 0¢No 100¢
—
N/A
$402
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 1 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 bets from traders and differ from traditional meteorological forecasts issued by agencies like the Meteorological Service Singapore. While weather analysts rely on atmospheric models and historical climate data, prediction markets incorporate trader sentiment and incentivize accuracy through financial stakes. Comparing market-implied probabilities to official forecasts can reveal whether traders expect conditions warmer or cooler than baseline seasonal norms for early June in Singapore's tropical climate.

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 1 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 ranging from 0 to 1 reflecting implied probability. The market uses an automated market maker to determine prices based on order flow and liquidity, allowing continuous trading until resolution on Jun 1, 2026.

Temperature expectations for Singapore on June 1 may shift based on seasonal weather pattern forecasts, El Niño or La Niña conditions, and real-time atmospheric data released closer to the date. Unusual tropical weather systems, monsoon activity, or volcanic aerosol effects could alter baseline temperature predictions. As June 1 approaches, updated meteorological models and official weather advisories will likely influence trader positioning and market odds for various temperature outcomes.