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%

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Highest temperature in Karachi on June 16?
polymarket

Highest temperature in Karachi on June 16?

Volume:
$29,024

34°C

 - Polymarket

34°C - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 16, 2026

Closed: Jun 16, 8:00 AM EST

polymarket

Polymarket

View
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
polymarket

34°C

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$4,730
N/A
N/A
N/A
Settled
Yes
polymarket

33°C

0%
Yes 0¢No 100¢
—
N/A
$6,334
N/A
N/A
N/A
Settled
No
polymarket

37°C

0%
Yes 0¢No 100¢
—
N/A
$3,289
N/A
N/A
N/A
Settled
No
polymarket

35°C

0%
Yes 0¢No 100¢
—
N/A
$3,141
N/A
N/A
N/A
Settled
No
polymarket

32°C

0%
Yes 0¢No 100¢
—
N/A
$2,839
N/A
N/A
N/A
Settled
No
polymarket

39°C or higher

0%
Yes 0¢No 100¢
—
N/A
$2,385
N/A
N/A
N/A
Settled
No
polymarket

36°C

0%
Yes 0¢No 100¢
—
N/A
$2,071
N/A
N/A
N/A
Settled
No
polymarket

38°C

0%
Yes 0¢No 100¢
—
N/A
$1,754
N/A
N/A
N/A
Settled
No
polymarket

31°C

0%
Yes 0¢No 100¢
—
N/A
$1,508
N/A
N/A
N/A
Settled
No
polymarket

30°C

0%
Yes 0¢No 100¢
—
N/A
$539
N/A
N/A
N/A
Settled
No
polymarket

29°C or below

0%
Yes 0¢No 100¢
—
N/A
$434
N/A
N/A
N/A
Settled
No
Total markets: 11

Description

This market will resolve to the temperature range that contains the highest temperature recorded at the Masroor Airbase Station in degrees Celsius on 16 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.

Polymarket

This market will resolve to the temperature range that contains the highest temperature recorded at the Masroor Airbase Station in degrees Celsius on 16 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.

Frequently asked questions

The dashboard for the Karachi temperature market displays real-time odds and historical price movements on Polymarket as traders forecast the highest temperature in Karachi on June 16. You can monitor current implied probabilities for each temperature outcome, review 24-hour trading volume of $18,426, and track cumulative liquidity across all outcomes. The interface shows how market sentiment shifts as new weather data and forecasts emerge, giving you a live window into collective trader expectations for that specific date in Karachi.

Prediction markets aggregate dispersed information from many traders, often revealing consensus that differs from traditional meteorological forecasts. While weather analysts rely on numerical models and historical patterns, this market reflects real-money incentives—traders who mispredict face direct losses. Comparing the implied probability here to published forecasts from meteorological agencies can highlight where the crowd sees edge or uncertainty. Both sources offer value; markets excel at pricing tail risks and shifting expectations as new data arrives.

On Polymarket, traders buy and sell shares representing different temperature ranges, with each share's price reflecting the market's estimated probability of that outcome occurring. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The bid-ask spread tightens as more liquidity flows in, and prices update continuously as new information surfaces. Your position's value fluctuates with trading activity and sentiment shifts, allowing you to exit before resolution or hold until the outcome is determined.

This market resolves around Jun 16, 2026, once the highest temperature recorded in Karachi on June 16 is verified against credible public sources. The outcome is determined by the official temperature reading for that date, confirmed through established meteorological reporting. Until resolution, prices may continue shifting as forecasts update and the event date approaches. Early exit is always possible if your view changes or you wish to lock in gains or losses.

Major weather pattern shifts, updated seasonal forecasts, and real-time atmospheric data releases can significantly move prices in this market. Tropical cyclone activity, monsoon intensity, or anomalous heat waves affecting South Asia will draw trader attention. As June 16 approaches, daily weather updates and short-range model consensus will drive volatility. Geopolitical or industrial events affecting regional climate patterns may also influence expectations, though the immediate driver remains meteorological forecasting confidence and historical temperature precedent for that date.