Hcm Dynamic Income Fund Statistic Functions Standard Deviation

HCMUX Fund   10.23  0.03  0.29%   
Hcm Dynamic statistic functions tool provides the execution environment for running the Standard Deviation function and other technical functions against Hcm Dynamic. Hcm Dynamic 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 Standard Deviation function function is designed to identify and follow existing trends. Hcm Dynamic statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period and Deviations to execute this module.

Function
Time Period
Deviations
Execute Function
The output start index for this execution was eleven with a total number of output elements of fifty. Hcm Dynamic Income Standard Deviation measures the spread of Hcm Dynamic time series from expected value (the mean).

Hcm Dynamic Technical Analysis Modules

Most technical analysis of Hcm Dynamic 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 Hcm from various momentum indicators to cycle indicators. When you analyze Hcm 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 Hcm Dynamic 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 Hcm Dynamic Income. We use our internally-developed statistical techniques to arrive at the intrinsic value of Hcm Dynamic Income based on widely used predictive technical indicators. In general, we focus on analyzing Hcm Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Hcm Dynamic'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 Hcm Dynamic's intrinsic value. In addition to deriving basic predictive indicators for Hcm Dynamic, we also check how macroeconomic factors affect Hcm Dynamic 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 Hcm Dynamic's 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
9.8510.2310.61
Details
Intrinsic
Valuation
LowRealHigh
9.8210.2010.58
Details
Naive
Forecast
LowNextHigh
9.8410.2210.61
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
10.0610.1610.25
Details

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Other Information on Investing in Hcm Mutual Fund

Hcm Dynamic financial ratios help investors to determine whether Hcm 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 Hcm with respect to the benefits of owning Hcm Dynamic security.
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