High Yield Fund Statistic Functions Linear Regression

PHYAX Fund  USD 8.12  0.01  0.12%   
High Yield statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against High Yield. High Yield 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 function function is designed to identify and follow existing trends. High Yield 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 eleven with a total number of output elements of fifty. The Linear Regression model generates relationship between price series of High Yield Fund and its peer or benchmark and helps predict High Yield future price from its past values.

High Yield Technical Analysis Modules

Most technical analysis of High Yield 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 High from various momentum indicators to cycle indicators. When you analyze High 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 High Yield 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 High Yield Fund. We use our internally-developed statistical techniques to arrive at the intrinsic value of High Yield Fund based on widely used predictive technical indicators. In general, we focus on analyzing High Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build High Yield'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 High Yield's intrinsic value. In addition to deriving basic predictive indicators for High Yield, we also check how macroeconomic factors affect High Yield price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
7.968.128.28
Details
Intrinsic
Valuation
LowRealHigh
7.307.468.93
Details
Naive
Forecast
LowNextHigh
7.988.148.30
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
8.048.088.12
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as High Yield. Your research has to be compared to or analyzed against High Yield's peers to derive any actionable benefits. When done correctly, High Yield's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in High Yield Fund.

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Other Information on Investing in High Mutual Fund

High Yield financial ratios help investors to determine whether High 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 High with respect to the benefits of owning High Yield security.
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