Bank Artha (Indonesia) Price Transform Median Price

INPC Stock  IDR 434.00  74.00  20.56%   
Bank Artha price transform tool provides the execution environment for running the Median Price transformation and other technical functions against Bank Artha. Bank Artha 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 price transform indicators. As with most other technical indicators, the Median Price transformation function is designed to identify and follow existing trends. Bank Artha price transformation methods enable investors to generate trading signals using basic price transformation functions such as typical price movement.

Transformation
The output start index for this execution was zero with a total number of output elements of sixty-one. The Median Price line plots median indexes of Bank Artha Graha price series.

Bank Artha Technical Analysis Modules

Most technical analysis of Bank Artha 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 Bank from various momentum indicators to cycle indicators. When you analyze Bank 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 Bank Artha 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 Bank Artha Graha. We use our internally-developed statistical techniques to arrive at the intrinsic value of Bank Artha Graha based on widely used predictive technical indicators. In general, we focus on analyzing Bank Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Bank Artha's daily price indicators and compare them against related drivers, such as price transform 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 Bank Artha's intrinsic value. In addition to deriving basic predictive indicators for Bank Artha, we also check how macroeconomic factors affect Bank Artha price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
349.98360.00370.02
Details
Intrinsic
Valuation
LowRealHigh
230.43240.45396.00
Details

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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.

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Bank Artha Graha 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 Bank Artha 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 Bank Artha will appreciate offsetting losses from the drop in the long position's value.

Bank Artha Pair Trading

Bank Artha Graha Pair Trading Analysis

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

Bank Artha financial ratios help investors to determine whether Bank 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 Bank with respect to the benefits of owning Bank Artha security.