Simt Managed Volatility Fund Statistic Functions Linear Regression Slope

SEVIX Fund  USD 17.02  0.03  0.18%   
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 nine with a total number of output elements of fifty-two. 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
16.4317.0217.61
Details
Intrinsic
Valuation
LowRealHigh
16.2616.8517.44
Details
Naive
Forecast
LowNextHigh
16.4717.0717.66
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
16.3716.8117.25
Details

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Simt Managed Volatility pair trading

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Simt Us position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Simt Us will appreciate offsetting losses from the drop in the long position's value.

Simt Us Pair Trading

Simt Managed Volatility Pair Trading Analysis

The ability to find closely correlated positions to Simt Us could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Simt Us when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Simt Us - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Simt Managed Volatility to buy it.
The correlation of Simt Us is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Simt Us moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Simt Managed Volatility moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Simt Us can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

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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