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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Lowest temperature in Boston on Aug 22, 2026?
kalshi

Lowest temperature in Boston on Aug 22, 2026?

Volume:
$1,711

65° to 66°

 - Kalshi

65° to 66° - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Aug 23, 2026

Closed: Aug 23, 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%
25%
Yes 100¢No 0¢
100¢
N/A
$912
N/A
N/A
$880
Settled
Yes
kalshi

67° to 68°

0%
3%
Yes 0¢No 100¢
100¢
N/A
$449
N/A
N/A
$380
Settled
No
kalshi

63° to 64°

0%
4%
Yes 0¢No 100¢
100¢
N/A
$165
N/A
N/A
$141
Settled
No
kalshi

69° to 70°

0%
1%
Yes 0¢No 100¢
100¢
N/A
$68
N/A
N/A
$68
Settled
No
kalshi

71° or above

0%
Yes 0¢No 100¢
100¢
N/A
$67
N/A
N/A
$67
Settled
No
kalshi

62° or below

0%
Yes 0¢No 100¢
100¢
N/A
$51
N/A
N/A
$49
Settled
No
Total markets: 6

Description

This event tracks the lowest temperature recorded in Boston on a specific date in the future, using data from a designated weather provider. The outcome depends on where the temperature falls within predefined ranges. Participants can speculate on the likelihood of different temperature scenarios based on historical trends and forecasts.

Kalshi

The event resolves based on the minimum temperature recorded at Boston’s CLIBOS station on August 22, 2026, as reported by The Weather Company. Six distinct temperature ranges are defined, each corresponding to a separate market outcome. If the recorded minimum temperature falls within a specific range, that market resolves to 'Yes,' with all others resolving to 'No.' The Weather Company’s official report is the sole authority for determining the outcome, and users should exercise caution with preliminary data due to potential rounding or conversion discrepancies. All secondary markets and outcomes are strictly dependent on this single data point and its classification into the appropriate temperature band.