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%
Closed: Jul 9, 8:00 AM EST
Polymarket
This market will resolve to the temperature range that contains the highest temperature recorded at the Chengdu Shuangliu International Airport Station in degrees Celsius on 9 Jul '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 Chengdu Shuangliu International Airport Station, available here: https://www.wunderground.com/history/daily/cn/chengdu/ZUUU. 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.
This market will resolve to the temperature range that contains the highest temperature recorded at the Chengdu Shuangliu International Airport Station in degrees Celsius on 9 Jul '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 Chengdu Shuangliu International Airport Station, available here: https://www.wunderground.com/history/daily/cn/chengdu/ZUUU. 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.
Prediction market odds reflect the aggregated beliefs of traders with real financial stakes, whereas traditional weather analyst forecasts rely on meteorological models and expert judgment. This market prices in both historical climate patterns for Chengdu in July and current atmospheric conditions. Traders often incorporate analyst predictions into their bets, but the market odds can diverge when new data emerges or when traders collectively assess risk differently than official forecasters. Comparing the two reveals whether the crowd's expectation aligns with or diverges from professional meteorological consensus.
On Polymarket, traders set prices by buying and selling shares that represent different temperature outcomes. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market uses an automated market maker model where share prices fluctuate based on supply and demand. If more traders believe the highest temperature will reach 35°C, the price of that outcome rises; if fewer traders back it, the price falls. This continuous price discovery mechanism ensures the odds reflect the latest information and sentiment among active participants.
This market resolves around Jul 9, 2026, once July 9 has passed and the highest temperature recorded in Chengdu for that day is verified. The outcome is confirmed through credible public reporting of weather data. Traders who correctly predicted the temperature range will receive payouts proportional to their positions, while incorrect predictions result in losses. The resolution process is automatic once the event is observable and reported by reliable sources.
Weather forecasts updated by meteorological agencies can shift market odds significantly as they refine predictions for early July conditions in Chengdu. Seasonal climate patterns, atmospheric pressure systems, and any unusual weather phenomena reported in the region may prompt traders to adjust positions. Historical temperature records for similar dates can also influence sentiment. As July 9 approaches, real-time weather observations and short-term forecasts typically drive the most dramatic price movements, with traders locking in positions based on the latest data.