TOTAL VOLUME:

$134.1b

24H VOL:

$141,541,542

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,440,096,988

406,065

Markets across

30,522

events

MATCHED EVENTS:

2,692

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Highest temperature in Austin on Aug 6, 2026?
kalshi

Highest temperature in Austin on Aug 6, 2026?

Volume:
$44,938

100° to 101°

 - Kalshi

100° to 101° - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Aug 7, 2026

Closed: Aug 7, 1:59 AM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

100° to 101°

View
100%
39%
Yes 100¢No 0¢
100¢
N/A
$17,571
N/A
N/A
$11,016
Settled
Yes
kalshi

98° to 99°

0%
29%
Yes 0¢No 100¢
100¢
N/A
$10,939
N/A
N/A
$6,868
Settled
No
kalshi

102° to 103°

0%
7%
Yes 0¢No 100¢
100¢
N/A
$9,872
N/A
N/A
$6,317
Settled
No
kalshi

96° to 97°

0%
5%
Yes 0¢No 100¢
100¢
N/A
$3,369
N/A
N/A
$2,380
Settled
No
kalshi

104° or above

0%
6%
Yes 0¢No 100¢
100¢
N/A
$1,640
N/A
N/A
$1,365
Settled
No
kalshi

95° or below

0%
Yes 0¢No 100¢
100¢
N/A
$1,547
N/A
N/A
$1,487
Settled
No
Total markets: 6

Description

This event tracks whether Austin will experience specific temperature ranges on a particular summer day in 2026. The outcome depends on official weather data from a trusted government source, ensuring consistency and reliability for participants.

Kalshi

The event determines the outcome based on the highest temperature recorded in Austin Bergstrom International Airport on August 6, 2026, as officially reported by the National Weather Service's Climatological Report (Daily). Six distinct temperature ranges are defined, each corresponding to a separate market that resolves to 'Yes' if the recorded high falls within that range. The official data source is critical, as preliminary or third-party weather reports may differ due to rounding or conversion methods. Participants must rely solely on the final NWS report to avoid discrepancies. The structure allows traders to assess the likelihood of various heat levels for that specific date.