ATA IMS overlap studies tool provides the execution environment for running the MESA Adaptive Moving Average study and other technical functions against ATA IMS. ATA IMS 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 overlap studies indicators. As with most other technical indicators, the MESA Adaptive Moving Average study function is designed to identify and follow existing trends. ATA IMS overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify Fast Limit and Slow Limit to execute this module.
The output start index for this execution was thirty-two with a total number of output elements of twenty-nine. The MESA Adaptive Moving Average indicator adapts to ATA IMS Bhd price movement based on the rate change of phase as measured by the Hilbert Transform Discriminator.
ATA IMS Technical Analysis Modules
Most technical analysis of ATA IMS 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 ATA from various momentum indicators to cycle indicators. When you analyze ATA 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.
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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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 ATA IMS 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 ATA IMS will appreciate offsetting losses from the drop in the long position's value.
ATA IMS Pair Trading
ATA IMS Bhd Pair Trading Analysis
The ability to find closely correlated positions to ATA IMS could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ATA IMS 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 ATA IMS - 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 ATA IMS Bhd to buy it.
The correlation of ATA IMS 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 ATA IMS moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ATA IMS Bhd 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 ATA IMS 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.