Dreyfus Research Growth Fund Statistic Functions Linear Regression Slope

DRYQX Fund  USD 19.15  0.73  0.00%   
Dreyfus Research statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against Dreyfus Research. Dreyfus Research 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. Dreyfus Research 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 two with a total number of output elements of fifty-nine. The Linear Regression Slope is the rate of change in Dreyfus Research Growth price series over its benchmark or peer price series.

Dreyfus Research Technical Analysis Modules

Most technical analysis of Dreyfus Research 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 Dreyfus from various momentum indicators to cycle indicators. When you analyze Dreyfus 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 Dreyfus Research 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 Dreyfus Research Growth. We use our internally-developed statistical techniques to arrive at the intrinsic value of Dreyfus Research Growth based on widely used predictive technical indicators. In general, we focus on analyzing Dreyfus Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Dreyfus Research'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 Dreyfus Research's intrinsic value. In addition to deriving basic predictive indicators for Dreyfus Research, we also check how macroeconomic factors affect Dreyfus Research price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
19.9221.0422.16
Details
Intrinsic
Valuation
LowRealHigh
19.5620.6821.80
Details
Naive
Forecast
LowNextHigh
19.6920.8121.93
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
20.9921.0721.14
Details

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Dreyfus Research Growth 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 Dreyfus Research 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 Dreyfus Research will appreciate offsetting losses from the drop in the long position's value.

Dreyfus Research Pair Trading

Dreyfus Research Growth Pair Trading Analysis

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

Dreyfus Research financial ratios help investors to determine whether Dreyfus 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 Dreyfus with respect to the benefits of owning Dreyfus Research security.
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