Deutsche Gnma Fund Volatility Indicators Normalized Average True Range
| GCGGX Fund | USD 11.69 0.04 0.34% |
| Symbol |
The output start index for this execution was ten with a total number of output elements of fifty-one. The Normalized Average True Range is used to analyze tradable apportunities for Deutsche Gnma across different markets.
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.| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
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.
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Deutsche Gnma 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 Deutsche Gnma 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 Deutsche Gnma will appreciate offsetting losses from the drop in the long position's value.Deutsche Gnma Pair Trading
Deutsche Gnma Fund Pair Trading Analysis
The ability to find closely correlated positions to Deutsche Gnma could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Deutsche Gnma 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 Deutsche Gnma - 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 Deutsche Gnma Fund to buy it.
The correlation of Deutsche Gnma 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 Deutsche Gnma moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Deutsche Gnma 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 Deutsche Gnma 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.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.
| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
| Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
| Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |