TOTAL VOLUME:

$134.1b

24H VOL:

$113,466,932

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,423,222,590

402,751

Markets across

30,217

events

MATCHED EVENTS:

2,632

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Highest temperature in Miami on Aug 19, 2026?
kalshi

Highest temperature in Miami on Aug 19, 2026?

Volume:
$210,066

95° to 96°

 - Kalshi

95° to 96° - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Aug 20, 2026

Closed: Aug 20, 1:00 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

95° to 96°

View
100%
67%
Yes 100¢No 0¢
100¢
N/A
$44,990
N/A
N/A
$20,920
Settled
Yes
kalshi

97° to 98°

0%
51%
Yes 0¢No 100¢
100¢
N/A
$47,311
N/A
N/A
$21,374
Settled
No
kalshi

91° to 92°

0%
1%
Yes 0¢No 100¢
100¢
N/A
$44,972
N/A
N/A
$42,053
Settled
No
kalshi

93° to 94°

0%
3%
Yes 0¢No 100¢
100¢
N/A
$44,467
N/A
N/A
$35,867
Settled
No
kalshi

99° or above

0%
14%
Yes 0¢No 100¢
100¢
N/A
$22,073
N/A
N/A
$14,425
Settled
No
kalshi

90° or below

0%
1%
Yes 0¢No 100¢
100¢
N/A
$6,253
N/A
N/A
$6,248
Settled
No
Total markets: 6

Description

This event tracks the highest temperature recorded in Miami on a specific date in the future. It uses a single authoritative weather source to determine the outcome, ensuring consistency despite variations across different weather services. Participants can assess climate trends and seasonal patterns to inform their expectations.

Kalshi

The event resolves based on the maximum temperature recorded in Miami (CLIMIA) on August 19, 2026, as reported by The Weather Company. Six distinct temperature ranges are defined, each corresponding to a separate market outcome. If the temperature falls within a specific range, that market resolves to Yes; all others resolve to No. The Weather Company serves as the sole, definitive source for temperature data, overriding any discrepancies found in other weather services. This approach standardizes evaluation and eliminates ambiguity, ensuring a clear, objective resolution regardless of external data variations.