Sgi Peak Growth Fund Statistic Functions Pearson Correlation Coefficient

SGPKX Fund  USD 13.02  0.00  0.00%   
Sgi Peak statistic functions tool provides the execution environment for running the Pearson Correlation Coefficient function and other technical functions against Sgi Peak. Sgi Peak 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 Pearson Correlation Coefficient function function is designed to identify and follow existing trends. Sgi Peak 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
The output start index for this execution was twenty-seven with a total number of output elements of thirty-four. The Pearsons Correlation Coefficient is one of the most common measures of correlation in financial statistics. It shows the linear relationship between price series of Sgi Peak Growth and its benchmark or peer.

Sgi Peak Technical Analysis Modules

Most technical analysis of Sgi Peak 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 Sgi from various momentum indicators to cycle indicators. When you analyze Sgi 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 Sgi Peak 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 Sgi Peak Growth. We use our internally-developed statistical techniques to arrive at the intrinsic value of Sgi Peak Growth based on widely used predictive technical indicators. In general, we focus on analyzing Sgi Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Sgi Peak'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 Sgi Peak's intrinsic value. In addition to deriving basic predictive indicators for Sgi Peak, we also check how macroeconomic factors affect Sgi Peak price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
12.3513.0213.69
Details
Intrinsic
Valuation
LowRealHigh
12.2412.9113.58
Details
Naive
Forecast
LowNextHigh
12.4013.0713.75
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
12.5512.7813.02
Details

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Other Information on Investing in Sgi Mutual Fund

Sgi Peak financial ratios help investors to determine whether Sgi 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 Sgi with respect to the benefits of owning Sgi Peak security.
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