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%
Closed: May 28, 8:00 AM EST
Polymarket
This market tracks whether the lowest temperature recorded in Hong Kong on May 28, 2026 will fall within specific degree ranges. On Polymarket, the outcome that the low will be 28°C holds 100.0% probability, while the 29°C outcome stands at 0.1%. Resolution will be determined by the Hong Kong Observatory's official daily temperature data, measured to one decimal place precision. Watch for the Hong Kong Observatory's finalized temperature reading for May 28, 2026, which will settle this market once the data is officially recorded and confirmed.
Prediction market odds on Polymarket reflect real-time consensus from active traders betting on Hong Kong's May 28 low temperature. Unlike static analyst forecasts or historical climate models, market prices adjust continuously as new meteorological data, seasonal patterns, and atmospheric conditions become available. Traders incorporate multiple signals—monsoon activity, urban heat effects, and long-range weather models—into their positions. This dynamic pricing often captures nuances that traditional forecasts may lag on, making markets a complementary view to conventional meteorological predictions.
The market resolves on May 28, 2026, after the May 28 trading day concludes in Hong Kong. Resolution is determined by the actual lowest temperature recorded on that date. Traders should monitor official meteorological data sources and any platform-specific resolution criteria to understand how edge cases or data discrepancies are handled. The outcome is objective and tied to verifiable temperature readings, making this event straightforward to settle once the day passes and official records are finalized.
Several factors could shift odds before resolution. Updated extended-range weather forecasts and monsoon activity patterns will influence trader expectations of May 28 conditions. Tropical cyclone formation or unusual atmospheric pressure systems in the region could trigger sharp repricing. Historical May temperature data and urban heat island effects in Hong Kong also inform positioning. Real-time weather model updates, especially from major meteorological agencies, often trigger trading surges. Additionally, seasonal climate anomalies and ocean temperature patterns may signal deviations from typical late-spring lows, prompting market adjustments.