TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
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 Masroor Airbase 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 Masroor Airbase Station, available here: https://www.wunderground.com/history/daily/pk/karachi/OPKC. 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 Masroor Airbase 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 Masroor Airbase Station, available here: https://www.wunderground.com/history/daily/pk/karachi/OPKC. 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 meteorological forecasts because they incorporate real-time trader behavior, media attention, and broader uncertainty beyond model outputs. While weather agencies publish deterministic or probabilistic forecasts based on atmospheric science, this market reflects what traders actually believe will occur—sometimes with a wider or narrower confidence band. Comparing the odds here to official forecasts from Pakistan's meteorological department or international weather services can reveal whether the crowd is more bullish or bearish on extreme heat than experts predict. Such gaps often highlight tail-risk pricing or information asymmetries in the market.
This market resolves around Jul 7, 2026, once the highest temperature recorded in Karachi on July 7 is verifiable from credible public sources. The outcome is determined by comparing actual meteorological data against the specified temperature threshold. Traders holding shares in the correct outcome receive their payout, while incorrect positions expire worthless. Resolution typically occurs within hours or a day after the event, once official temperature readings are published and confirmed.
Major weather pattern shifts—such as monsoon intensity changes, heat wave warnings, or unexpected atmospheric blocking—can significantly reprrice this market. Updated forecasts from meteorological agencies, especially those predicting extreme heat or cooler-than-normal conditions, often trigger sharp trader repositioning. Real-time temperature data from early July, satellite imagery showing cloud cover or dust storms, and geopolitical events affecting regional weather reporting can all influence odds. Additionally, shifts in global climate indices or El Niño status may prompt longer-term adjustments to baseline expectations for South Asian summer temperatures.