AFRIQUIA GAZ overlap studies tool provides the execution environment for running the Weighted Moving Average study and other technical functions against AFRIQUIA GAZ. AFRIQUIA GAZ 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 Weighted Moving Average study function is designed to identify and follow existing trends. AFRIQUIA GAZ overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify Time Period to run this model.
The output start index for this execution was twenty-nine with a total number of output elements of thirty-two. The Weighted Moving Average calculates a weight for each value in AFRIQUIA GAZ price series with the more recent values given greater weights.
AFRIQUIA GAZ Technical Analysis Modules
Most technical analysis of AFRIQUIA GAZ 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 AFRIQUIA from various momentum indicators to cycle indicators. When you analyze AFRIQUIA 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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Analyst Advice
Analyst recommendations and target price estimates broken down by several categories
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 AFRIQUIA GAZ 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 AFRIQUIA GAZ will appreciate offsetting losses from the drop in the long position's value.
AFRIQUIA GAZ Pair Trading
AFRIQUIA GAZ Pair Trading Analysis
The ability to find closely correlated positions to AFRIQUIA GAZ could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace AFRIQUIA GAZ 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 AFRIQUIA GAZ - 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 AFRIQUIA GAZ to buy it.
The correlation of AFRIQUIA GAZ 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 AFRIQUIA GAZ moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AFRIQUIA GAZ 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 AFRIQUIA GAZ 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.