PT Data (Indonesia) Cycle Indicators Hilbert Transform Dominant Cycle Period
| ELIT Stock | 118.00 2.00 1.67% |
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The output start index for this execution was thirty-two with a total number of output elements of twenty-nine. The Hilbert Transform - Dominant Cycle Period indicator is used to generate in-phase and quadrature components of PT Data Sinergitama price series in order to analyze variations of the instantaneous cycles.
PT Data Technical Analysis Modules
Most technical analysis of PT Data 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 ELIT from various momentum indicators to cycle indicators. When you analyze ELIT 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 PT Data 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 PT Data Sinergitama. We use our internally-developed statistical techniques to arrive at the intrinsic value of PT Data Sinergitama based on widely used predictive technical indicators. In general, we focus on analyzing ELIT Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build PT Data's daily price indicators and compare them against related drivers, such as cycle indicators 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 PT Data's intrinsic value. In addition to deriving basic predictive indicators for PT Data, we also check how macroeconomic factors affect PT Data price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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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.Did you try this?
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PT Data Sinergitama 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 PT Data 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 PT Data will appreciate offsetting losses from the drop in the long position's value.PT Data Pair Trading
PT Data Sinergitama Pair Trading Analysis
The ability to find closely correlated positions to PT Data could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace PT Data 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 PT Data - 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 PT Data Sinergitama to buy it.
The correlation of PT Data 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 PT Data moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if PT Data Sinergitama 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 PT Data 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 ELIT Stock
PT Data financial ratios help investors to determine whether ELIT 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 ELIT with respect to the benefits of owning PT Data security.