Deutsche Gnma Fund Volatility Indicators Average True Range

GCGGX Fund  USD 11.69  0.04  0.34%   
Deutsche Gnma volatility indicators tool provides the execution environment for running the Average True Range indicator and other technical functions against Deutsche Gnma. Deutsche Gnma 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. Deutsche Gnma 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
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The output start index for this execution was seven with a total number of output elements of fifty-four. 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 Deutsche Gnma volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Deutsche Gnma Technical Analysis Modules

Most technical analysis of Deutsche Gnma 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 Deutsche from various momentum indicators to cycle indicators. When you analyze Deutsche 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 Deutsche Gnma 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 Deutsche Gnma Fund. We use our internally-developed statistical techniques to arrive at the intrinsic value of Deutsche Gnma Fund based on widely used predictive technical indicators. In general, we focus on analyzing Deutsche Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Deutsche Gnma'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 Deutsche Gnma's intrinsic value. In addition to deriving basic predictive indicators for Deutsche Gnma, we also check how macroeconomic factors affect Deutsche Gnma price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
11.3711.6912.01
Details
Intrinsic
Valuation
LowRealHigh
11.3911.7112.03
Details
Naive
Forecast
LowNextHigh
11.4011.7212.05
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
11.4911.6011.72
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Deutsche Gnma. Your research has to be compared to or analyzed against Deutsche Gnma's peers to derive any actionable benefits. When done correctly, Deutsche Gnma'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 Deutsche Gnma.

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Other Information on Investing in Deutsche Mutual Fund

Deutsche Gnma financial ratios help investors to determine whether Deutsche 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 Deutsche with respect to the benefits of owning Deutsche Gnma security.
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