Ginnie Mae Fund Statistic Functions Linear Regression Slope

BGNMX Fund  USD 8.91  0.08  0.91%   
Ginnie Mae statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against Ginnie Mae. Ginnie Mae 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. Ginnie Mae 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.

Function
Time Period
Execute Function
Illegal number of arguments. The output start index for this execution was zero with a total number of output elements of zero. The Linear Regression Slope is the rate of change in Ginnie Mae Fund price series over its benchmark or peer price series.

Ginnie Mae Technical Analysis Modules

Most technical analysis of Ginnie Mae 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 Ginnie from various momentum indicators to cycle indicators. When you analyze Ginnie 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 Ginnie Mae 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 Ginnie Mae Fund. We use our internally-developed statistical techniques to arrive at the intrinsic value of Ginnie Mae Fund based on widely used predictive technical indicators. In general, we focus on analyzing Ginnie Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Ginnie Mae'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 Ginnie Mae's intrinsic value. In addition to deriving basic predictive indicators for Ginnie Mae, we also check how macroeconomic factors affect Ginnie Mae price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
8.598.919.23
Details
Intrinsic
Valuation
LowRealHigh
8.308.628.94
Details
Naive
Forecast
LowNextHigh
8.588.909.21
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
8.778.848.90
Details

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Other Information on Investing in Ginnie Mutual Fund

Ginnie Mae financial ratios help investors to determine whether Ginnie 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 Ginnie with respect to the benefits of owning Ginnie Mae security.
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