SFA Engineering (Korea) Statistic Functions Variance

056190 Stock  KRW 21,300  450.00  2.16%   
SFA Engineering statistic functions tool provides the execution environment for running the Variance function and other technical functions against SFA Engineering. SFA Engineering 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 Variance function function is designed to identify and follow existing trends. SFA Engineering statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period and Deviations to execute this module.

Function
Time Period
Deviations
Execute Function
The output start index for this execution was thirty-five with a total number of output elements of twenty-six. SFA Engineering Variance is a measurement of the price spread between periods of SFA Engineering price series.

SFA Engineering Technical Analysis Modules

Most technical analysis of SFA Engineering 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 SFA from various momentum indicators to cycle indicators. When you analyze SFA 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 SFA Engineering 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 SFA Engineering. We use our internally-developed statistical techniques to arrive at the intrinsic value of SFA Engineering based on widely used predictive technical indicators. In general, we focus on analyzing SFA Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build SFA Engineering'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 SFA Engineering's intrinsic value. In addition to deriving basic predictive indicators for SFA Engineering, we also check how macroeconomic factors affect SFA Engineering price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
21,29721,30021,303
Details
Intrinsic
Valuation
LowRealHigh
19,17021,80021,803
Details
Naive
Forecast
LowNextHigh
20,56620,56920,572
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
18,76920,54022,312
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as SFA Engineering. Your research has to be compared to or analyzed against SFA Engineering's peers to derive any actionable benefits. When done correctly, SFA Engineering'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 SFA Engineering.

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As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.

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Other Information on Investing in SFA Stock

SFA Engineering financial ratios help investors to determine whether SFA 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 SFA with respect to the benefits of owning SFA Engineering security.