Applied Finance Core Fund Statistic Functions Linear Regression

AFALX Fund  USD 11.88  0.15  1.28%   
Applied Finance statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against Applied Finance. Applied Finance 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. Applied Finance 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 twenty-three with a total number of output elements of thirty-eight. The Linear Regression model generates relationship between price series of Applied Finance Core and its peer or benchmark and helps predict Applied Finance future price from its past values.

Applied Finance Technical Analysis Modules

Most technical analysis of Applied Finance 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 Applied from various momentum indicators to cycle indicators. When you analyze Applied 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 Applied Finance 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 Applied Finance Core. We use our internally-developed statistical techniques to arrive at the intrinsic value of Applied Finance Core based on widely used predictive technical indicators. In general, we focus on analyzing Applied Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Applied Finance'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 Applied Finance's intrinsic value. In addition to deriving basic predictive indicators for Applied Finance, we also check how macroeconomic factors affect Applied Finance price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
11.0811.8812.68
Details
Intrinsic
Valuation
LowRealHigh
10.9411.7412.54
Details
Naive
Forecast
LowNextHigh
10.8811.6712.47
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
11.3411.6912.03
Details

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Other Information on Investing in Applied Mutual Fund

Applied Finance financial ratios help investors to determine whether Applied 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 Applied with respect to the benefits of owning Applied Finance security.
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