Sejong Telecom (Korea) Statistic Functions Beta
036630 Stock | KRW 441.00 6.00 1.34% |
Symbol |
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. The Beta measures systematic risk based on how returns on Sejong Telecom correlated with the market. If Beta is less than 0 Sejong Telecom generally moves in the opposite direction as compared to the market. If Sejong Telecom Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Sejong Telecom is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Sejong Telecom is generally in the same direction as the market. If Beta > 1 Sejong Telecom moves generally in the same direction as, but more than the movement of the benchmark.
Sejong Telecom Technical Analysis Modules
Most technical analysis of Sejong Telecom 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 Sejong from various momentum indicators to cycle indicators. When you analyze Sejong 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.Cycle Indicators | ||
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Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
About Sejong Telecom 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 Sejong Telecom. We use our internally-developed statistical techniques to arrive at the intrinsic value of Sejong Telecom based on widely used predictive technical indicators. In general, we focus on analyzing Sejong Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Sejong Telecom'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 Sejong Telecom's intrinsic value. In addition to deriving basic predictive indicators for Sejong Telecom, we also check how macroeconomic factors affect Sejong Telecom price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment.Macroaxis Index Invested few shares | ||
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Other Information on Investing in Sejong Stock
Sejong Telecom financial ratios help investors to determine whether Sejong 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 Sejong with respect to the benefits of owning Sejong Telecom security.