TOTAL VOLUME:

$134.1b

24H VOL:

$133,388,117

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,436,095,462

405,232

Markets across

30,526

events

MATCHED EVENTS:

2,693

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Highest temperature in LA on Jun 4, 2026?
kalshi

Highest temperature in LA on Jun 4, 2026?

Volume:
$586,130

72° to 73°

 - Kalshi

72° to 73° - Kalshi

1W

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Vol.

·

Resolved Jun 5, 2026

Closed: Jun 5, 3:59 AM EST

kalshi

Kalshi

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

72° to 73°

View
100%
Yes 100¢No 0¢
100¢
N/A
$88,372
N/A
N/A
$42,884
Settled
Yes
kalshi

78° or above

0%
Yes 0¢No 100¢
100¢
N/A
$183,681
N/A
N/A
$160,350
Settled
No
kalshi

70° to 71°

0%
Yes 0¢No 100¢
100¢
N/A
$96,625
N/A
N/A
$37,693
Settled
No
kalshi

74° to 75°

0%
Yes 0¢No 100¢
100¢
N/A
$85,728
N/A
N/A
$54,496
Settled
No
kalshi

76° to 77°

0%
Yes 0¢No 100¢
100¢
N/A
$66,244
N/A
N/A
$42,520
Settled
No
kalshi

69° or below

0%
Yes 0¢No 100¢
100¢
N/A
$65,480
N/A
N/A
$41,708
Settled
No
Total markets: 6

Intro

This market tracks whether the highest temperature recorded at Los Angeles Airport on June 4, 2026 will fall below 70°F. On Kalshi, the leading outcome—a high temperature between 72–73°F—stands at 98.0%, according to the National Weather Service's Climatological Report for that date. The resolution will be determined by the official National Weather Service daily climate data reported for Los Angeles Airport on June 5, 2026, the day after the temperature measurement window closes.

Frequently asked questions

Prediction market odds on Kalshi reflect real-money bets from traders and reflect dynamic, up-to-date expectations about LA's June 4, 2026 high temperature. Traditional weather forecasts from meteorologists and climate analysts typically rely on historical climate data and seasonal patterns but are published less frequently. Prediction markets incorporate new information continuously and aggregate dispersed knowledge from many participants. Comparing Kalshi implied probabilities to published seasonal forecasts or long-range weather outlooks can reveal whether traders are pricing in more or less extreme heat than official forecasters expect.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the highest temperature in LA on June 4, 2026 is priced as a set of binary or range-based contracts, each representing a specific temperature threshold or band. Traders buy and sell shares at prices between 0 and 100 cents, where the price reflects the market's implied probability of that outcome occurring. As new weather data, climate models, or seasonal patterns emerge, traders adjust their positions, moving prices up or down. The most actively traded contracts typically cluster around historically typical June temperatures for Los Angeles, though extreme heat or unusual cooling patterns can shift pricing across the full range of outcomes.

The market resolves on Jun 5, 2026, after June 4, 2026 has concluded and the official highest temperature for that day is recorded. Resolution is determined by the actual maximum temperature observed in Los Angeles on that date, sourced from an authoritative weather data provider. Once the final temperature is confirmed, all contracts settle according to which outcome bracket or threshold the recorded high falls into. Traders holding shares in the correct outcome receive their payout, while incorrect positions expire worthless.

Several factors can shift market odds for LA's June 4, 2026 high temperature. Updated long-range weather forecasts and seasonal climate outlooks released in the months leading up to June will influence trader expectations. El Niño or La Niña patterns, ocean temperatures, and atmospheric pressure systems can all affect early summer heat in Southern California. Major weather events or anomalies in spring 2026 may prompt traders to reassess baseline assumptions. As June approaches, short-range forecasts become more precise, typically causing prices to converge toward the most likely outcome. Real-time market sentiment and trading volume can also amplify or dampen price swings as new information arrives.