TOTAL VOLUME:

$134b

24H VOL:

$107,351,958

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,416,970,024

400,720

Markets across

30,097

events

MATCHED EVENTS:

2,633

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Lockheed Martin (LMT) Up or Down - Daily
limitless

Lockheed Martin (LMT) Up or Down - Daily

Volume:
$26,993

Lockheed Martin (LMT) Up or Down - Daily

 - Limitless

Lockheed Martin (LMT) Up or Down - Daily - Limitless

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Aug 10, 2026

Closed: Aug 10, 4:00 PM EST

limitless

Limitless

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
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Result
limitless

Lockheed Martin (LMT) Up or Down - Daily

View
100%
Yes 100¢No 0¢
24.2¢
N/A
$26,993
N/A
N/A
N/A
Settled
Yes
Total markets: 1

Description

This market will resolve to "Up" if the price for Lockheed Martin (Pyth LMT/USD) on August 10, 2026 is strictly higher than the price for Lockheed Martin (Pyth LMT/USD) on the most recent prior trading day. Otherwise, this market will resolve to "Down". The price for Lockheed Martin (Pyth LMT/USD) captured on August 7, 2026 was $587.78060. Resolution source: Pyth LMT/USD price feed. Other exchanges, spot markets, and oracles will not be used. For example, a Monday market would ordinarily compare Monday's price with the previous Friday's price, unless that Friday was a market holiday. In that case, it would compare against Thursday's price, or the next most recent trading day. If Lockheed Martin (LMT) does not trade at all during the regular session on August 10, 2026, this market will resolve to "Down". For a standard full trading session, the price for that trading day refers to the Pyth price at the end of regular trading hours on the primary exchange. If either relevant trading day has no valid Pyth price at the end of regular trading hours on the primary exchange, the last valid Pyth price published during that day's regular trading hours will be used as the effective price for that day. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official price published by the primary exchange on which LMT is listed will be used to determine the price for that day. In the event of a stock split, reverse stock split, or similar corporate action affecting LMT during the relevant time frame, this market will resolve based on split-adjusted prices as displayed on Pyth.

Limitless

This market will resolve to "Up" if the price for Lockheed Martin (Pyth LMT/USD) on August 10, 2026 is strictly higher than the price for Lockheed Martin (Pyth LMT/USD) on the most recent prior trading day. Otherwise, this market will resolve to "Down". The price for Lockheed Martin (Pyth LMT/USD) captured on August 7, 2026 was $587.78060. Resolution source: Pyth LMT/USD price feed. Other exchanges, spot markets, and oracles will not be used. For example, a Monday market would ordinarily compare Monday's price with the previous Friday's price, unless that Friday was a market holiday. In that case, it would compare against Thursday's price, or the next most recent trading day. If Lockheed Martin (LMT) does not trade at all during the regular session on August 10, 2026, this market will resolve to "Down". For a standard full trading session, the price for that trading day refers to the Pyth price at the end of regular trading hours on the primary exchange. If either relevant trading day has no valid Pyth price at the end of regular trading hours on the primary exchange, the last valid Pyth price published during that day's regular trading hours will be used as the effective price for that day. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official price published by the primary exchange on which LMT is listed will be used to determine the price for that day. In the event of a stock split, reverse stock split, or similar corporate action affecting LMT during the relevant time frame, this market will resolve based on split-adjusted prices as displayed on Pyth.