Simt Managed Volatility Fund Statistic Functions Linear Regression Slope

SEVIX Fund  USD 14.90  0.10  0.68%   
Simt Us statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against Simt Us. Simt Us 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. Simt Us 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 Slope is the rate of change in Simt Managed Volatility price series over its benchmark or peer price series.

Simt Us Technical Analysis Modules

Most technical analysis of Simt Us 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 Simt from various momentum indicators to cycle indicators. When you analyze Simt 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 Simt Us 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 Simt Managed Volatility. We use our internally-developed statistical techniques to arrive at the intrinsic value of Simt Managed Volatility based on widely used predictive technical indicators. In general, we focus on analyzing Simt Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Simt Us'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 Simt Us's intrinsic value. In addition to deriving basic predictive indicators for Simt Us, we also check how macroeconomic factors affect Simt Us price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
14.2614.9015.54
Details
Intrinsic
Valuation
LowRealHigh
14.1414.7815.42
Details
Naive
Forecast
LowNextHigh
14.1514.7815.42
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
14.4314.6914.95
Details

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Other Information on Investing in Simt Mutual Fund

Simt Us financial ratios help investors to determine whether Simt 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 Simt with respect to the benefits of owning Simt Us security.
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