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%

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Highest temperature in Paris on June 26?
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Highest temperature in Paris on June 26?

Volume:
$252,668

37°C

 - Polymarket

37°C - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 26, 2026

Closed: Jun 26, 8:00 AM EST

polymarket

Polymarket

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

37°C

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$28,413
N/A
N/A
N/A
Settled
Yes
polymarket

36°C

0%
Yes 0¢No 100¢
—
N/A
$63,741
N/A
N/A
N/A
Settled
No
polymarket

38°C

0%
Yes 0¢No 100¢
—
N/A
$44,080
N/A
N/A
N/A
Settled
No
polymarket

39°C

0%
Yes 0¢No 100¢
—
N/A
$27,127
N/A
N/A
N/A
Settled
No
polymarket

34°C or below

0%
Yes 0¢No 100¢
—
N/A
$20,637
N/A
N/A
N/A
Settled
No
polymarket

41°C

0%
Yes 0¢No 100¢
—
N/A
$19,885
N/A
N/A
N/A
Settled
No
polymarket

40°C

0%
Yes 0¢No 100¢
—
N/A
$17,230
N/A
N/A
N/A
Settled
No
polymarket

35°C

0%
Yes 0¢No 100¢
—
N/A
$13,551
N/A
N/A
N/A
Settled
No
polymarket

44°C or higher

0%
Yes 0¢No 100¢
—
N/A
$9,134
N/A
N/A
N/A
Settled
No
polymarket

42°C

0%
Yes 0¢No 100¢
—
N/A
$6,256
N/A
N/A
N/A
Settled
No
polymarket

43°C

0%
Yes 0¢No 100¢
—
N/A
$2,613
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 Paris-Le Bourget Airport Station in degrees Celsius on 26 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 Paris-Le Bourget Airport Station, available here: https://www.wunderground.com/history/daily/fr/bonneuil-en-france/LFPB. 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 Paris-Le Bourget Airport Station in degrees Celsius on 26 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 Paris-Le Bourget Airport Station, available here: https://www.wunderground.com/history/daily/fr/bonneuil-en-france/LFPB. 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 Paris temperature prediction market dashboard on Polymarket tracks real-time odds, historical price movements, and trading volume for forecasts about the highest temperature in Paris on June 26. Traders can monitor current odds alongside 24-hour volume data to gauge market sentiment and liquidity. The dashboard displays the leading outcome and allows participants to view how odds have shifted as new information emerges. With total group volume of $252,668 and recent 24-hour activity at $192,422, this market reflects active trader participation in weather forecasting.

Prediction market odds often diverge from traditional weather analyst forecasts because traders incorporate real-time data, model uncertainty, and collective intelligence. While meteorologists issue deterministic temperature ranges based on numerical models, this market aggregates thousands of individual probability estimates from traders betting on whether the highest temperature will reach 44°C or higher. Analyst forecasts tend to be more conservative and updated on fixed schedules, whereas market odds adjust continuously as traders react to new satellite data, atmospheric patterns, and model updates. Both approaches offer value: analysts provide detailed reasoning, while markets reveal crowd-sourced confidence levels.

This market resolves around Jun 26, 2026, once the highest temperature recorded in Paris on June 26 is verified against credible public sources. The outcome is determined by comparing the final temperature reading to the threshold specified in the market's primary outcome. Traders who correctly predicted whether the temperature would reach or exceed that threshold receive their winnings, while incorrect positions expire worthless. Resolution typically occurs within hours of the event closing, allowing rapid settlement and payout.

Several factors could shift odds significantly before June 26. Updated weather models from major forecasting centers—particularly European and global agencies—often trigger repricing as confidence in temperature predictions changes. Atmospheric anomalies, such as unexpected heat waves or jet stream repositioning, can rapidly alter trader expectations. Real-time satellite imagery and surface observations in the days leading up to the event will influence late-stage trading. Additionally, historical temperature records for that date and time of year may prompt traders to reassess baseline probabilities, especially if recent climate patterns suggest deviation from long-term averages.