TOTAL VOLUME:
$134.2b
24H VOL:
$126,590,312
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,439,516,703
404,175
Markets across
30,277
events
MATCHED EVENTS:
2,685
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 29, 8:00 AM EST
Polymarket
This market tracks whether London's highest temperature will reach 26°C on May 29, 2026. On Polymarket, the leading outcome—a high of 26°C—stands at 100.0%, while a high of 25°C carries 0.1% probability. Resolution will be determined by Weather Underground's historical temperature data from London City Airport Station. Watch the actual weather conditions as May 29, 2026 approaches to see whether the recorded high matches the 26°C threshold.
Prediction market odds on Polymarket reflect real-money consensus from active traders and differ from traditional meteorological forecasts issued by the UK Met Office or other weather agencies. While analysts publish deterministic point estimates and confidence intervals based on atmospheric models, prediction markets aggregate dispersed information through price discovery. Comparing the market's implied probability for specific temperature thresholds against official weather forecasts can reveal whether traders are pricing in greater uncertainty, seasonal patterns, or recent climate trends than traditional models suggest.
The market resolves on May 29, 2026, at which point the actual highest temperature recorded in London on May 29 is compared against the contract specifications. Resolution depends on official temperature data from a designated weather station or meteorological authority serving London. Once the final temperature is confirmed and matched to the corresponding outcome contract, winning positions are paid out and losing positions expire worthless.
Weather forecast updates from the Met Office, European weather models, and atmospheric pressure systems approaching the UK in late May will drive significant price movements. Seasonal climate patterns, jet stream positioning, and any unusual high-pressure systems building over the continent could shift trader expectations upward. Conversely, cooler Atlantic systems or cloud cover predictions may lower implied temperatures. Real-time weather alerts, model consensus shifts, and historical May temperature records will influence trading activity as the event date approaches.