Samsung Life (Korea) Statistic Functions Linear Regression Slope

032830 Stock   104,600  1,400  1.32%   
Samsung Life statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against Samsung Life. Samsung Life 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 Slope function function is designed to identify and follow existing trends. Samsung Life 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
Illegal number of arguments. The output start index for this execution was zero with a total number of output elements of zero. The Linear Regression Slope is the rate of change in Samsung Life Insurance price series over its benchmark or peer price series.

Samsung Life Technical Analysis Modules

Most technical analysis of Samsung Life 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 Samsung from various momentum indicators to cycle indicators. When you analyze Samsung 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 Samsung Life 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 Samsung Life Insurance. We use our internally-developed statistical techniques to arrive at the intrinsic value of Samsung Life Insurance based on widely used predictive technical indicators. In general, we focus on analyzing Samsung Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Samsung Life'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 Samsung Life's intrinsic value. In addition to deriving basic predictive indicators for Samsung Life, we also check how macroeconomic factors affect Samsung Life price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
105,998106,000106,002
Details
Intrinsic
Valuation
LowRealHigh
86,41386,415116,600
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Samsung Life. Your research has to be compared to or analyzed against Samsung Life's peers to derive any actionable benefits. When done correctly, Samsung Life's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Samsung Life Insurance.

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Other Information on Investing in Samsung Stock

Samsung Life financial ratios help investors to determine whether Samsung Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Samsung with respect to the benefits of owning Samsung Life security.