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Lowest temperature in New York City on Aug 13, 2026?
kalshi

Lowest temperature in New York City on Aug 13, 2026?

Volume:
$15,242

70° to 71°

 - Kalshi

70° to 71° - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Aug 14, 2026

Closed: Aug 14, 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

70° to 71°

View
100%
7%
Yes 100¢No 0¢
100¢
N/A
$6,634
N/A
N/A
$4,757
Settled
Yes
kalshi

72° to 73°

View
0%
Yes 0¢No 100¢
100¢
N/A
$2,643
N/A
N/A
$2,317
Settled
No
kalshi

68° to 69°

View
0%
21%
Yes 0¢No 100¢
100¢
N/A
$2,170
N/A
N/A
$1,268
Settled
No
kalshi

74° or above

View
0%
Yes 0¢No 100¢
100¢
N/A
$2,025
N/A
N/A
$1,789
Settled
No
kalshi

66° to 67°

View
0%
1%
Yes 0¢No 100¢
100¢
N/A
$909
N/A
N/A
$621
Settled
No
kalshi

65° or below

View
0%
1%
Yes 0¢No 100¢
100¢
N/A
$860
N/A
N/A
$501
Settled
No
Total markets: 6

Description

This event tracks the lowest temperature recorded in New York City on a specific date, using official government data as the sole source for verification. Participants assess weather conditions based on historical trends and forecasts to determine the outcome.

Kalshi

The event resolves based on the official minimum temperature recorded in New York City on August 13, 2026, as reported by the National Weather Service's Climatological Report (Daily) for Central Park NY. 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 official NWS report is the definitive source, and traders must use the latest version available after the date in question. Preliminary data from other services may differ due to rounding or conversion nuances, and such discrepancies should be carefully considered when making decisions. The event emphasizes reliance on a single, authoritative data source to ensure consistency and fairness in resolution.