Gmo High Yield Fund Statistic Functions Linear Regression Slope

GHVIX Fund  USD 17.71  0.03  0.17%   
Gmo High statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against Gmo High. Gmo High 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. Gmo High 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 one with a total number of output elements of sixty. The Linear Regression Slope is the rate of change in Gmo High Yield price series over its benchmark or peer price series.

Gmo High Technical Analysis Modules

Most technical analysis of Gmo High 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 Gmo from various momentum indicators to cycle indicators. When you analyze Gmo 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 Gmo High 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 Gmo High Yield. We use our internally-developed statistical techniques to arrive at the intrinsic value of Gmo High Yield based on widely used predictive technical indicators. In general, we focus on analyzing Gmo Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Gmo High'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 Gmo High's intrinsic value. In addition to deriving basic predictive indicators for Gmo High, we also check how macroeconomic factors affect Gmo High price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
17.5517.7117.87
Details
Intrinsic
Valuation
LowRealHigh
16.0716.2319.48
Details
Naive
Forecast
LowNextHigh
17.6017.7617.93
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
17.7117.7117.71
Details

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Gmo High in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Gmo High's short interest history, or implied volatility extrapolated from Gmo High options trading.

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Other Information on Investing in Gmo Mutual Fund

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