TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 17, 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 17 Jun '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 17 Jun '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 conviction and risk appetite alongside expert models. While meteorologists issue point estimates and confidence intervals based on atmospheric data, this market aggregates the financial commitments of participants who stand to gain or lose based on the actual outcome. Comparing the implied probability in this market to published forecasts from weather services can reveal whether traders are pricing in additional uncertainty, seasonal patterns, or recent climate trends that analysts may weight differently.
On Polymarket, traders set the odds through an automated market maker that adjusts prices based on buy and sell pressure. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome—such as whether the highest temperature will be 32°C on June 17—is represented as a tradable share with a price between 0 and 1, where the price reflects the implied probability. As traders place orders, the price shifts to balance supply and demand, ensuring continuous liquidity and transparent price discovery throughout the event window.
This market resolves around Jun 17, 2026, once the highest temperature recorded in Karachi on June 17 is verified against credible public sources. The outcome is determined by comparing actual weather data to the specified temperature threshold. Resolution occurs after the event date has passed and official measurements are available, ensuring all participants have access to the same factual basis for settlement.
Market prices may shift in response to updated weather forecasts, seasonal climate patterns, historical temperature records for mid-June in Karachi, and real-time atmospheric conditions as the event date approaches. Major weather systems, monsoon activity, or anomalous heat waves could trigger significant repricing. Additionally, shifts in trader positioning, new meteorological model runs, and media coverage of extreme weather events can influence participant conviction and trading volume, causing odds to fluctuate before final resolution.