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 Phoenix on Jul 30, 2026?
kalshi

Highest temperature in Phoenix on Jul 30, 2026?

Volume:
$103,083

112° to 113°

 - Kalshi

112° to 113° - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 31, 2026

Closed: Jul 31, 3:00 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

112° to 113°

View
100%
Yes 100¢No 0¢
100¢
N/A
$28,348
N/A
N/A
$12,535
Settled
Yes
kalshi

110° to 111°

0%
Yes 0¢No 100¢
100¢
N/A
$24,436
N/A
N/A
$22,968
Settled
No
kalshi

114° to 115°

0%
Yes 0¢No 100¢
100¢
N/A
$22,884
N/A
N/A
$11,096
Settled
No
kalshi

116° to 117°

0%
Yes 0¢No 100¢
100¢
N/A
$14,213
N/A
N/A
$9,513
Settled
No
kalshi

118° or above

0%
Yes 0¢No 100¢
100¢
N/A
$10,701
N/A
N/A
$9,558
Settled
No
kalshi

109° or below

0%
Yes 0¢No 100¢
100¢
N/A
$2,501
N/A
N/A
$2,434
Settled
No
Total markets: 6

Description

This event tracks the highest temperature recorded in Phoenix on a specific future date, using official government data. It helps participants assess climate conditions and temperature trends for that location and time.

Kalshi

The event resolves based on the maximum temperature recorded in Phoenix, AZ on July 30, 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 outcome. If the recorded temperature falls within any of these specified ranges, the associated market resolves to Yes; otherwise, it resolves to No. All outcomes rely exclusively on the NWS data, with no consideration for third-party weather services. Traders must use the latest available NWS report for the date, noting that reporting frequencies may vary and preliminary data could contain rounding or conversion nuances that affect interpretation.