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Lowest temperature in Philadelphia on Jun 3, 2026?
kalshi

Lowest temperature in Philadelphia on Jun 3, 2026?

Volume:
$8,691

60° or above

 - Kalshi

60° or above - Kalshi

1W

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Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 4, 2026

Closed: Jun 4, 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

60° or above

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,899
N/A
N/A
$1,633
Settled
Yes
kalshi

52° to 53°

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,761
N/A
N/A
$1,751
Settled
No
kalshi

51° or below

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,732
N/A
N/A
$1,505
Settled
No
kalshi

58° to 59°

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,240
N/A
N/A
$1,225
Settled
No
kalshi

56° to 57°

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,172
N/A
N/A
$1,093
Settled
No
kalshi

54° to 55°

View
0%
Yes 0¢No 100¢
100¢
N/A
$886
N/A
N/A
$843
Settled
No
Total markets: 6

Description

The overnight low temperature in Philadelphia on June 3, 2026, will be recorded by the National Weather Service.

Frequently asked questions

The market resolves on Jun 4, 2026, after the lowest temperature for June 3, 2026 in Philadelphia has been recorded and verified. The outcome is determined by official temperature data for that calendar day. Traders should monitor the specific resolution criteria on Kalshi to confirm which data source and measurement methodology will be used to settle the contract, ensuring clarity on what constitutes the verified low temperature.

Major weather pattern shifts, seasonal climate anomalies, and updated atmospheric forecasts from the National Weather Service will drive price movement. Cold fronts, high-pressure systems, or unusual jet-stream positioning in early June 2026 could significantly alter trader expectations. Additionally, historical temperature data releases, long-range model consensus changes, and any unusual solar or oceanic activity affecting North American weather patterns may shift the implied probability of each temperature range on Kalshi as the event date approaches.