Prudential Balanced Fund Statistic Functions Linear Regression Slope

PIBAX Fund  USD 18.41  0.05  0.27%   
Prudential Balanced statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against Prudential Balanced. Prudential Balanced 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. Prudential Balanced 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 thirty-five with a total number of output elements of twenty-six. The Linear Regression Slope is the rate of change in Prudential Balanced price series over its benchmark or peer price series.

Prudential Balanced Technical Analysis Modules

Most technical analysis of Prudential Balanced 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 Prudential from various momentum indicators to cycle indicators. When you analyze Prudential 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 Prudential Balanced 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 Prudential Balanced Fund. We use our internally-developed statistical techniques to arrive at the intrinsic value of Prudential Balanced Fund based on widely used predictive technical indicators. In general, we focus on analyzing Prudential Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Prudential Balanced'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 Prudential Balanced's intrinsic value. In addition to deriving basic predictive indicators for Prudential Balanced, we also check how macroeconomic factors affect Prudential Balanced price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
17.9518.4118.87
Details
Intrinsic
Valuation
LowRealHigh
16.3216.7820.25
Details
Naive
Forecast
LowNextHigh
17.9718.4318.89
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
17.5618.0718.58
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Prudential Balanced. Your research has to be compared to or analyzed against Prudential Balanced's peers to derive any actionable benefits. When done correctly, Prudential Balanced'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 Prudential Balanced.

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Other Information on Investing in Prudential Mutual Fund

Prudential Balanced financial ratios help investors to determine whether Prudential 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 Prudential with respect to the benefits of owning Prudential Balanced security.
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