Simt Small Cap Fund Volatility Indicators Average True Range

SSCGX Fund  USD 41.50  0.06  0.14%   
Simt Small volatility indicators tool provides the execution environment for running the Average True Range indicator and other technical functions against Simt Small. Simt Small 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 volatility indicators indicators. As with most other technical indicators, the Average True Range indicator function is designed to identify and follow existing trends. Simt Small volatility indicators enable investors to predict price movements based on how different True Range indicators change over time. Please specify Time Period to run this model.

Indicator
Time Period
Execute Indicator
The output start index for this execution was four with a total number of output elements of fifty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Simt Small Cap volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Simt Small Technical Analysis Modules

Most technical analysis of Simt Small 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 Small 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 Small Cap. We use our internally-developed statistical techniques to arrive at the intrinsic value of Simt Small Cap 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 Small's daily price indicators and compare them against related drivers, such as volatility indicators 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 Small's intrinsic value. In addition to deriving basic predictive indicators for Simt Small, we also check how macroeconomic factors affect Simt Small price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
40.2441.5042.76
Details
Intrinsic
Valuation
LowRealHigh
40.9842.2443.50
Details
Naive
Forecast
LowNextHigh
39.9341.2042.46
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
36.3839.4342.49
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Simt Small. Your research has to be compared to or analyzed against Simt Small's peers to derive any actionable benefits. When done correctly, Simt Small's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Simt Small Cap.

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Other Information on Investing in Simt Mutual Fund

Simt Small 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 Small security.
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