Pan Asia (Sri Lanka) Overlap Studies MESA Adaptive Moving Average

PABCN0000  LKR 26.50  0.30  1.12%   
Pan Asia overlap studies tool provides the execution environment for running the MESA Adaptive Moving Average study and other technical functions against Pan Asia. Pan Asia 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. Pan Asia 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 Pan Asia Banking price movement based on the rate change of phase as measured by the Hilbert Transform Discriminator.

Pan Asia Technical Analysis Modules

Most technical analysis of Pan Asia 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 Pan from various momentum indicators to cycle indicators. When you analyze Pan 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 Pan Asia 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 Pan Asia Banking. We use our internally-developed statistical techniques to arrive at the intrinsic value of Pan Asia Banking based on widely used predictive technical indicators. In general, we focus on analyzing Pan Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Pan Asia's daily price indicators and compare them against related drivers, such as overlap studies 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 Pan Asia's intrinsic value. In addition to deriving basic predictive indicators for Pan Asia, we also check how macroeconomic factors affect Pan Asia price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
24.4626.5028.54
Details
Intrinsic
Valuation
LowRealHigh
20.1522.1829.15
Details
Naive
Forecast
LowNextHigh
23.7125.7527.79
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
26.3226.6026.88
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.

Did you try this?

Run ETFs Now

   

ETFs

Find actively traded Exchange Traded Funds (ETF) from around the world
All  Next Launch Module

Pan Asia Banking 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 Pan Asia 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 Pan Asia will appreciate offsetting losses from the drop in the long position's value.

Pan Asia Pair Trading

Pan Asia Banking Pair Trading Analysis

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

Pan Asia financial ratios help investors to determine whether Pan 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 Pan with respect to the benefits of owning Pan Asia security.