Lockheed Martin Stock Statistic Functions Linear Regression Intercept

LMT Stock  USD 542.22  0.21  0.04%   
Lockheed Martin statistic functions tool provides the execution environment for running the Linear Regression Intercept function and other technical functions against Lockheed Martin. Lockheed Martin value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Linear Regression Intercept function function is designed to identify and follow existing trends. Lockheed Martin statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Function
Time Period
Execute Function
The output start index for this execution was two with a total number of output elements of fifty-nine. The Linear Regression Intercept is the expected mean value of Lockheed Martin price seriese where values of its benchmark or peer price series are zero.

Lockheed Martin Technical Analysis Modules

Most technical analysis of Lockheed Martin help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Lockheed from various momentum indicators to cycle indicators. When you analyze Lockheed charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

About Lockheed Martin Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Lockheed Martin. We use our internally-developed statistical techniques to arrive at the intrinsic value of Lockheed Martin based on widely used predictive technical indicators. In general, we focus on analyzing Lockheed Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Lockheed Martin's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Lockheed Martin's intrinsic value. In addition to deriving basic predictive indicators for Lockheed Martin, we also check how macroeconomic factors affect Lockheed Martin price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2021 2022 2023 2024 (projected)
Dividend Yield0.02990.02350.02690.02
Price To Sales Ratio1.471.941.681.76
Hype
Prediction
LowEstimatedHigh
540.27541.55542.83
Details
Intrinsic
Valuation
LowRealHigh
505.43506.71596.44
Details
Naive
Forecast
LowNextHigh
543.71544.99546.28
Details
23 Analysts
Consensus
LowTargetHigh
415.03456.08506.25
Details

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Additional Tools for Lockheed Stock Analysis

When running Lockheed Martin's price analysis, check to measure Lockheed Martin's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Lockheed Martin is operating at the current time. Most of Lockheed Martin's value examination focuses on studying past and present price action to predict the probability of Lockheed Martin's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Lockheed Martin's price. Additionally, you may evaluate how the addition of Lockheed Martin to your portfolios can decrease your overall portfolio volatility.