TOTAL VOLUME:
$134b
24H VOL:
$87,997,338
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,395,155,069
395,664
Markets across
30,076
events
MATCHED EVENTS:
2,626
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 18, 4:00 PM EST
Limitless
This market will resolve to "Up" if the Close price for Lockheed Martin (Pyth LMT/USD) on June 18, 2026 is strictly higher than the Close price for Lockheed Martin (Pyth LMT/USD) on June 11, 2026. Otherwise, this market will resolve to "Down". The Close price for Lockheed Martin (Pyth LMT/USD) captured on June 11, 2026, was $548.68872. Resolution source: Pyth LMT/USD price feed. Other exchanges, spot markets, and oracles will not be used. For example, a weekly Friday market would ordinarily compare that Friday's Close price with the previous Friday's Close price, unless that previous 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 18, 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 18, 2026 is strictly higher than the Close price for Lockheed Martin (Pyth LMT/USD) on June 11, 2026. Otherwise, this market will resolve to "Down". The Close price for Lockheed Martin (Pyth LMT/USD) captured on June 11, 2026, was $548.68872. Resolution source: Pyth LMT/USD price feed. Other exchanges, spot markets, and oracles will not be used. For example, a weekly Friday market would ordinarily compare that Friday's Close price with the previous Friday's Close price, unless that previous 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 18, 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 often diverge from traditional analyst consensus because they incorporate real-time trading activity and diverse participant perspectives. While equity analysts publish target prices and ratings based on fundamental research, this market aggregates the beliefs of traders who have financial skin in the game. Analysts may lag in updating forecasts after major news, whereas prediction markets react immediately. Comparing the two can reveal whether the crowd is pricing in risks or opportunities that Wall Street has overlooked regarding Lockheed Martin's weekly performance.
On Limitless, this market is priced through an automated market maker that balances supply and demand across the Up and Down outcomes. On Limitless, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy and sell shares representing each outcome, and the platform adjusts odds dynamically based on order flow. The current probability reflects the collective valuation of all active positions. As new information emerges or sentiment shifts, the price updates in real time, ensuring the market continuously reflects participant expectations about Lockheed Martin's weekly directional move.
This market resolves around Jun 18, 2026, at which point the outcome is determined by verifying Lockheed Martin's stock price movement against credible public sources. The resolution hinges on whether LMT closes the week higher or lower than its opening price at the start of the period. Once the weekly close is confirmed through standard financial data providers, the winning outcome is locked in and traders receive their payouts accordingly. The process is transparent and based on objective, publicly available price data.
Earnings announcements, defense contract wins or losses, geopolitical developments, and broader market volatility can all shift odds in this market. Positive news such as new government contracts or strong quarterly results typically drive the Up outcome higher, while supply chain disruptions or regulatory headwinds may favor Down. Macroeconomic data, Federal Reserve policy changes, and sector-wide aerospace and defense trends also influence trader positioning. Additionally, insider trading disclosures or analyst upgrades and downgrades can trigger rapid repricing as participants adjust their expectations.