TOTAL VOLUME:

$134.1b

24H VOL:

$141,541,542

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,440,096,988

406,065

Markets across

30,522

events

MATCHED EVENTS:

2,692

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Lowest temperature in London on June 1?
polymarket

Lowest temperature in London on June 1?

Volume:
$25,647

14°C

 - Polymarket

14°C - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 2, 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

14°C

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$5,502
N/A
N/A
N/A
Settled
Yes
polymarket

13°C

0%
Yes 0¢No 100¢
—
N/A
$5,425
N/A
N/A
N/A
Settled
No
polymarket

10°C

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

15°C

0%
Yes 0¢No 100¢
—
N/A
$3,062
N/A
N/A
N/A
Settled
No
polymarket

16°C

0%
Yes 0¢No 100¢
—
N/A
$2,450
N/A
N/A
N/A
Settled
No
polymarket

17°C or higher

0%
Yes 0¢No 100¢
—
N/A
$1,459
N/A
N/A
N/A
Settled
No
polymarket

12°C

0%
Yes 0¢No 100¢
—
N/A
$1,213
N/A
N/A
N/A
Settled
No
polymarket

11°C

0%
Yes 0¢No 100¢
—
N/A
$913
N/A
N/A
N/A
Settled
No
polymarket

7°C or below

0%
Yes 0¢No 100¢
—
N/A
$814
N/A
N/A
N/A
Settled
No
polymarket

8°C

0%
Yes 0¢No 100¢
—
N/A
$780
N/A
N/A
N/A
Settled
No
polymarket

9°C

0%
Yes 0¢No 100¢
—
N/A
$713
N/A
N/A
N/A
Settled
No
Total markets: 11

Description

This market will resolve to the temperature range that contains the lowest temperature recorded at the London City Airport Station in degrees Celsius on 1 Jun '26. The resolution source for this market will be information from Wunderground, specifically the lowest temperature recorded for all times on this day for the London City Airport Station, available here: https://www.wunderground.com/history/daily/gb/london/EGLC. 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 trader expectations and often incorporate meteorological forecasts from weather services and climate analysts. While professional weather models provide deterministic temperature ranges based on atmospheric data, prediction markets aggregate diverse trader views into a single probability. Comparing Polymarket odds to UK Met Office or other meteorological agency forecasts can reveal whether traders are pricing in higher or lower confidence than official models suggest, offering insight into market-specific risk assessment versus institutional weather prediction.

The market resolves on Jun 1, 2026. Resolution is determined by the actual lowest temperature recorded in London on June 1, measured against the specific threshold defined in the contract terms. Official meteorological data sources are used to verify the outcome and settle all positions. Traders should review the exact temperature threshold and measurement methodology specified in the contract details to understand which outcome will be declared correct.

Major weather pattern shifts, seasonal climate anomalies, and updated meteorological forecasts can significantly move odds. Atmospheric pressure systems, jet stream positioning, and ocean temperature anomalies affecting the North Atlantic influence early June weather in London. Seasonal climate outlooks from agencies like the UK Met Office or NOAA may revise expectations weeks in advance. As June 1 approaches, daily weather models become more precise, often triggering sharp price movements. Traders monitor long-range forecasts, historical temperature records, and real-time atmospheric data to adjust positions ahead of resolution.