TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 7, 8:00 AM EST
Polymarket
This market will resolve to the temperature range that contains the highest temperature recorded at the Guangzhou Baiyun International Airport Station in degrees Celsius on 7 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 Guangzhou Baiyun International Airport Station, available here: https://www.wunderground.com/history/daily/cn/guangzhou/ZGGG. 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 Guangzhou Baiyun International Airport Station in degrees Celsius on 7 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 Guangzhou Baiyun International Airport Station, available here: https://www.wunderground.com/history/daily/cn/guangzhou/ZGGG. 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 often diverge from traditional weather forecasts because they incorporate real-time trader positioning and risk appetite alongside meteorological models. While meteorologists publish deterministic temperature ranges based on atmospheric data, this market prices uncertainty through continuous trading. Analysts may forecast a range, but traders here are committing capital to specific outcomes, which can reveal information gaps or consensus blind spots that pure models miss. The market price thus serves as an alternative signal to conventional forecasting.
On Polymarket, traders set prices by buying and selling shares of competing outcomes through an automated market maker. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each contract represents a potential temperature threshold, and the current price reflects the probability that outcome will occur. As new information emerges—updated weather models, seasonal patterns, or real-time atmospheric conditions—traders adjust their positions, moving the price up or down. The spread between bid and ask prices tightens as the event date nears and uncertainty resolves.
This market resolves around Jul 7, 2026, once the highest temperature recorded in Guangzhou on July 7 is verified against credible public sources. The outcome is determined by official meteorological data from recognized weather monitoring stations in the region. Resolution occurs after the event concludes and the final reading is confirmed, at which point all positions settle according to whether the actual temperature matched the contract terms.
Major weather pattern shifts, updated seasonal forecasts, and real-time atmospheric anomalies can significantly move this market. Tropical systems, monsoon intensity changes, or unexpected heat waves in the region would trigger rapid repricing. Additionally, historical temperature records for early July in Guangzhou may be revisited by traders seeking edge. As the event date approaches, intraday weather updates and model consensus changes will drive final volatility, with the largest moves typically occurring in the 48 hours before July 7.