Samsung Biologics (Korea) Statistic Functions Linear Regression

207940 Stock   975,000  25,000  2.50%   
Samsung Biologics statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against Samsung Biologics. Samsung Biologics 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 function function is designed to identify and follow existing trends. Samsung Biologics 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.

Execute Function
The output start index for this execution was nine with a total number of output elements of fifty-two. The Linear Regression model generates relationship between price series of Samsung Biologics and its peer or benchmark and helps predict Samsung Biologics future price from its past values.

Samsung Biologics Technical Analysis Modules

Most technical analysis of Samsung Biologics 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 Biologics 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 Biologics Co. We use our internally-developed statistical techniques to arrive at the intrinsic value of Samsung Biologics Co 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 Biologics'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 Biologics's intrinsic value. In addition to deriving basic predictive indicators for Samsung Biologics, we also check how macroeconomic factors affect Samsung Biologics price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
974,999975,000975,001
Details
Intrinsic
Valuation
LowRealHigh
956,834956,8351,072,500
Details
Naive
Forecast
LowNextHigh
1,005,1171,005,1191,005,120
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
895,326945,400995,474
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Samsung Biologics. Your research has to be compared to or analyzed against Samsung Biologics' peers to derive any actionable benefits. When done correctly, Samsung Biologics' 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 Biologics.

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Other Information on Investing in Samsung Stock

Samsung Biologics 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 Biologics security.