TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 22, 4:00 PM EST
Limitless
This market will resolve to "Up" if the Close price for Lockheed Martin (Pyth LMT/USD) on June 22, 2026, is strictly higher than the Close price for Lockheed Martin (Pyth LMT/USD) on the most recent prior trading day. Otherwise, this market will resolve to "Down". The Close price for Lockheed Martin (Pyth LMT/USD) captured on June 18, 2026, was $511.64408. 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 Close price with the previous Friday's Close price, unless that Friday was a market holiday. In that case, it would compare against Thursday's Close price, or the next most recent trading day. If Lockheed Martin (LMT) does not trade at all during the regular session on June 22, 2026, this market will resolve to "Down". For a standard full trading session, the Close price refers to the "Close" value of the 1-minute Pyth candle corresponding to the final minute of regular trading hours on the primary exchange. If either relevant trading day has no valid Pyth Close value for the 1-minute candle corresponding to the end of regular trading hours on the primary exchange, the last valid Pyth price during that day's regular trading hours will be used as the effective Close price. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official closing price published by the primary exchange on which LMT is listed will be used to determine the Close 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.
This market will resolve to "Up" if the Close price for Lockheed Martin (Pyth LMT/USD) on June 22, 2026, is strictly higher than the Close price for Lockheed Martin (Pyth LMT/USD) on the most recent prior trading day. Otherwise, this market will resolve to "Down". The Close price for Lockheed Martin (Pyth LMT/USD) captured on June 18, 2026, was $511.64408. 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 Close price with the previous Friday's Close price, unless that Friday was a market holiday. In that case, it would compare against Thursday's Close price, or the next most recent trading day. If Lockheed Martin (LMT) does not trade at all during the regular session on June 22, 2026, this market will resolve to "Down". For a standard full trading session, the Close price refers to the "Close" value of the 1-minute Pyth candle corresponding to the final minute of regular trading hours on the primary exchange. If either relevant trading day has no valid Pyth Close value for the 1-minute candle corresponding to the end of regular trading hours on the primary exchange, the last valid Pyth price during that day's regular trading hours will be used as the effective Close price. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official closing price published by the primary exchange on which LMT is listed will be used to determine the Close 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.
Prediction market odds reflect real-time consensus from traders who have financial skin in the game, often diverging meaningfully from published analyst price targets or consensus estimates. While Wall Street analysts typically issue longer-term ratings and price objectives, this market aggregates short-term sentiment on daily directional moves—a timeframe where traditional equity research offers limited guidance. Comparing the implied probability in this market to analyst sentiment can reveal whether traders are pricing in near-term catalysts or volatility that analysts have not yet incorporated into their public forecasts.
On Limitless, traders set prices through an order-book mechanism where buy and sell orders determine the odds for each outcome. On Limitless, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market price reflects the marginal trade—the last executed order—and moves as new bets flow in or existing positions are closed. Participants can place limit or market orders to back their view of whether LMT will close higher or lower, and the spread between bid and ask prices tightens or widens based on trading activity and conviction levels among active traders.
This market resolves around Jun 22, 2026, once the trading day's close is finalized and the outcome is verifiable from credible public sources. The result hinges on whether Lockheed Martin's stock price at market close is higher or lower than the previous day's closing price. Resolution is straightforward and objective, tied directly to official market data that is publicly available and independently confirmable, ensuring clarity for all participants.
Major catalysts include earnings announcements, defense contract wins or losses, geopolitical developments affecting defense spending, broader market selloffs or rallies, and macroeconomic data releases. Company-specific news—such as executive changes, guidance revisions, or regulatory developments—can trigger sharp intraday moves. Sector rotation, Federal Reserve policy signals, and shifts in investor risk appetite also influence aerospace and defense stocks. Traders monitoring this market typically watch pre-market futures, overnight news, and real-time headlines to adjust positions ahead of LMT's opening and throughout the trading session.