Great Rich (Korea) Statistic Functions Beta
| 900290 Stock | 3,530 43.25 1.24% |
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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 Great Rich Technologies correlated with the market. If Beta is less than 0 Great Rich generally moves in the opposite direction as compared to the market. If Great Rich Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Great Rich Technologies is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Great Rich is generally in the same direction as the market. If Beta > 1 Great Rich moves generally in the same direction as, but more than the movement of the benchmark.
Great Rich Technical Analysis Modules
Most technical analysis of Great Rich 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 Great from various momentum indicators to cycle indicators. When you analyze Great 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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About Great Rich 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 Great Rich Technologies. We use our internally-developed statistical techniques to arrive at the intrinsic value of Great Rich Technologies based on widely used predictive technical indicators. In general, we focus on analyzing Great Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Great Rich'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 Great Rich's intrinsic value. In addition to deriving basic predictive indicators for Great Rich, we also check how macroeconomic factors affect Great Rich price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Great Rich Technologies pair trading
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Great Rich position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Great Rich will appreciate offsetting losses from the drop in the long position's value.Great Rich Pair Trading
Great Rich Technologies Pair Trading Analysis
The ability to find closely correlated positions to Great Rich could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Great Rich when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Great Rich - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Great Rich Technologies to buy it.
The correlation of Great Rich is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Great Rich moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Great Rich Technologies moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Great Rich can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Great Stock
Great Rich financial ratios help investors to determine whether Great 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 Great with respect to the benefits of owning Great Rich security.