Consumer Services Ultrasector Fund Statistic Functions Linear Regression Slope

CYPSX Fund  USD 57.77  0.46  0.79%   
Consumer Services statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against Consumer Services. Consumer Services 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 statistic functions indicators. As with most other technical indicators, the Linear Regression Slope function function is designed to identify and follow existing trends. Consumer Services statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Execute Function
The output start index for this execution was three with a total number of output elements of fifty-eight. The Linear Regression Slope is the rate of change in Consumer Services price series over its benchmark or peer price series.

Consumer Services Technical Analysis Modules

Most technical analysis of Consumer Services 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 Consumer from various momentum indicators to cycle indicators. When you analyze Consumer 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 Consumer Services 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 Consumer Services Ultrasector. We use our internally-developed statistical techniques to arrive at the intrinsic value of Consumer Services Ultrasector based on widely used predictive technical indicators. In general, we focus on analyzing Consumer Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Consumer Services's daily price indicators and compare them against related drivers, such as statistic functions 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 Consumer Services's intrinsic value. In addition to deriving basic predictive indicators for Consumer Services, we also check how macroeconomic factors affect Consumer Services price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Consumer Services' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
56.5458.2359.92
Details
Intrinsic
Valuation
LowRealHigh
56.6958.3860.07
Details
Naive
Forecast
LowNextHigh
54.5456.2357.92
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
48.3954.4260.45
Details

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Consumer Services 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 Consumer Services 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 Consumer Services will appreciate offsetting losses from the drop in the long position's value.

Consumer Services Pair Trading

Consumer Services Ultrasector Pair Trading Analysis

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

Consumer Services financial ratios help investors to determine whether Consumer Mutual Fund 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 Consumer with respect to the benefits of owning Consumer Services security.
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