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%
Closed: May 30, 8:00 AM EST
Polymarket
This market tracks whether London's lowest temperature will reach specific thresholds on May 30, 2026, based on readings from the London City Airport Station. On Polymarket, the leading outcome—a low of 15°C—stands at 31.0%, while a low of 17°C is priced at 20.5%. Resolution will be determined by historical weather data from Weather Underground. Watch the actual temperature reading recorded at London City Airport on May 30, 2026, which will determine the final settlement.
The market resolves on May 30, 2026, after the lowest temperature recorded in London on May 30 is officially confirmed. Resolution depends on verified meteorological data from the designated weather station or official source specified in the market terms. Once the actual low temperature is published, the outcome contract matching that threshold or range settles to 100 cents, while all other contracts settle to zero. Early resolution is possible if the threshold is mathematically impossible to reach before midnight, but standard markets wait for the full day's data. Traders should review the exact resolution criteria in the market details to confirm which data source is authoritative.
Major weather system shifts, updated ensemble forecasts, and seasonal anomalies will drive price movement. A sudden cold front or high-pressure system moving into the UK could lower expected temperatures and shift odds toward colder outcomes. Conversely, warm air masses or delayed spring weather patterns could push traders toward higher temperature contracts. Real-time atmospheric data, jet stream positioning, and soil moisture levels influence short-term forecasts. As May 30 approaches, intraday weather updates and final model runs become critical price drivers. Traders also react to historical May temperature records and climate normals, using them as anchors for probability estimates. Extreme weather events elsewhere in Europe may also shift regional patterns and trader sentiment.