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%

BETA
Dashboards
Tour
All
Lowest temperature in Boston on Aug 27, 2026?
kalshi

Lowest temperature in Boston on Aug 27, 2026?

Volume:
$8,514

65° to 66°

 - Kalshi

65° to 66° - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Aug 28, 2026

Closed: Aug 28, 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

65° to 66°

View
100%
5%
Yes 100¢No 0¢
100¢
N/A
$3,130
N/A
N/A
$2,537
Settled
Yes
kalshi

71° or above

0%
1%
Yes 0¢No 100¢
100¢
N/A
$1,637
N/A
N/A
$1,600
Settled
No
kalshi

63° to 64°

0%
2%
Yes 0¢No 100¢
100¢
N/A
$1,133
N/A
N/A
$792
Settled
No
kalshi

67° to 68°

0%
1%
Yes 0¢No 100¢
100¢
N/A
$930
N/A
N/A
$837
Settled
No
kalshi

69° to 70°

0%
1%
Yes 0¢No 100¢
100¢
N/A
$929
N/A
N/A
$929
Settled
No
kalshi

62° or below

0%
7%
Yes 0¢No 100¢
100¢
N/A
$755
N/A
N/A
$751
Settled
No
Total markets: 6

Description

This event tracks the lowest temperature recorded in Boston on a specific date in the future. The outcome depends on how cold it gets during that night, with different temperature ranges determining the result. The official data source ensures consistency in measuring and reporting the temperature.

Kalshi

The event resolves based on the minimum temperature recorded at Boston’s CLIBOS station on August 27, 2026, as reported by The Weather Company. Six distinct temperature ranges define the possible outcomes: 62°F or below, 63–64°F, 65–66°F, 67–68°F, 69–70°F, and 71°F or above. If the recorded low falls within any of these ranges, the corresponding market resolves to Yes. All participants must rely exclusively on The Weather Company’s official report for resolution, as preliminary or third-party data may vary due to rounding or conversion differences. This ensures a single, authoritative source determines the outcome, eliminating ambiguity from disparate weather data interpretations.