Green Cross (Korea) Pattern Recognition Identical Three Crows

144510 Stock  KRW 25,200  50.00  0.20%   
Green Cross pattern recognition tool provides the execution environment for running the Identical Three Crows recognition and other technical functions against Green Cross. Green Cross 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 pattern recognition indicators. As with most other technical indicators, the Identical Three Crows recognition function is designed to identify and follow existing trends. Green Cross momentum indicators are usually used to generate trading rules based on assumptions that Green Cross trends in prices tend to continue for long periods.

Recognition
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was twelve with a total number of output elements of fourty-nine. The function did not return any valid pattern recognition events for the selected time horizon. The Identical Three Crows pattern describes Green Cross trend with bearish reversal signal.

Green Cross Technical Analysis Modules

Most technical analysis of Green Cross 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 Green from various momentum indicators to cycle indicators. When you analyze Green 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 Green Cross 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 Green Cross Lab. We use our internally-developed statistical techniques to arrive at the intrinsic value of Green Cross Lab based on widely used predictive technical indicators. In general, we focus on analyzing Green Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Green Cross's daily price indicators and compare them against related drivers, such as pattern recognition 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 Green Cross's intrinsic value. In addition to deriving basic predictive indicators for Green Cross, we also check how macroeconomic factors affect Green Cross price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
25,19725,20025,203
Details
Intrinsic
Valuation
LowRealHigh
22,87622,88027,720
Details

Learn to be your own money manager

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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Green Cross Lab 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 Green Cross 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 Green Cross will appreciate offsetting losses from the drop in the long position's value.

Green Cross Pair Trading

Green Cross Lab Pair Trading Analysis

The ability to find closely correlated positions to Green Cross could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Green Cross 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 Green Cross - 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 Green Cross Lab to buy it.
The correlation of Green Cross 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 Green Cross moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Green Cross Lab 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 Green Cross 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.
Pair CorrelationCorrelation Matching

Other Information on Investing in Green Stock

Green Cross financial ratios help investors to determine whether Green 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 Green with respect to the benefits of owning Green Cross security.