Strategic Alternatives Fund Statistic Functions Linear Regression

GFSYX Fund  USD 9.25  0.02  0.22%   
Strategic Alternatives statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against Strategic Alternatives. Strategic Alternatives 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. Strategic Alternatives 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 eight with a total number of output elements of fifty-three. The Linear Regression model generates relationship between price series of Strategic Alternatives and its peer or benchmark and helps predict Strategic Alternatives future price from its past values.

Strategic Alternatives Technical Analysis Modules

Most technical analysis of Strategic Alternatives 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 Strategic from various momentum indicators to cycle indicators. When you analyze Strategic 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 Strategic Alternatives 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 Strategic Alternatives Fund. We use our internally-developed statistical techniques to arrive at the intrinsic value of Strategic Alternatives Fund based on widely used predictive technical indicators. In general, we focus on analyzing Strategic Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Strategic Alternatives'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 Strategic Alternatives's intrinsic value. In addition to deriving basic predictive indicators for Strategic Alternatives, we also check how macroeconomic factors affect Strategic Alternatives price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Strategic Alternatives' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
9.109.259.40
Details
Intrinsic
Valuation
LowRealHigh
8.798.9410.18
Details
Naive
Forecast
LowNextHigh
9.099.249.40
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
9.249.309.36
Details

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Other Information on Investing in Strategic Mutual Fund

Strategic Alternatives financial ratios help investors to determine whether Strategic 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 Strategic with respect to the benefits of owning Strategic Alternatives security.
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