Utilities Select Sector Index Volatility Indicators Average True Range

SIXU Index   835.42  0.57  0.07%   
Utilities Select volatility indicators tool provides the execution environment for running the Average True Range indicator and other technical functions against Utilities Select. Utilities Select 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 volatility indicators indicators. As with most other technical indicators, the Average True Range indicator function is designed to identify and follow existing trends. Utilities Select volatility indicators enable investors to predict price movements based on how different True Range indicators change over time. Please specify Time Period to run this model.

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The output start index for this execution was ten with a total number of output elements of fifty-one. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Utilities Select Sector volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Utilities Select Technical Analysis Modules

Most technical analysis of Utilities Select 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 Utilities from various momentum indicators to cycle indicators. When you analyze Utilities 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.

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Utilities Select Sector 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 Utilities Select 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 Utilities Select will appreciate offsetting losses from the drop in the long position's value.

Utilities Select Pair Correlation

Correlation Analysis For Tax-loss Harvesting

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