Digital Realty (Germany) Technical Analysis

FQI Stock  EUR 187.24  3.14  1.71%   
As of the 1st of December, Digital Realty shows the Downside Deviation of 0.9233, mean deviation of 1.24, and Coefficient Of Variation of 341.1. Digital Realty Trust technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices. Please confirm Digital Realty Trust information ratio, value at risk, and the relationship between the standard deviation and treynor ratio to decide if Digital Realty Trust is priced favorably, providing market reflects its regular price of 187.24 per share.

Digital Realty Momentum Analysis

Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Digital, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to Digital
  
Digital Realty's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.
Digital Realty technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
A focus of Digital Realty technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Digital Realty trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

Digital Realty Trust Technical Analysis

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The output start index for this execution was one with a total number of output elements of sixty. 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 Digital Realty Trust volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Digital Realty Trust Trend Analysis

Use this graph to draw trend lines for Digital Realty Trust. You can use it to identify possible trend reversals for Digital Realty as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Digital Realty price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

Digital Realty Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Digital Realty Trust applied against its price change over selected period. The best fit line has a slop of   0.80  , which means Digital Realty Trust will continue generating value for investors. It has 122 observation points and a regression sum of squares at 24076.97, which is the sum of squared deviations for the predicted Digital Realty price change compared to its average price change.

About Digital Realty Technical Analysis

The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Digital Realty Trust on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Digital Realty Trust based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Digital Realty Trust price pattern first instead of the macroeconomic environment surrounding Digital Realty Trust. By analyzing Digital Realty's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Digital Realty's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Digital Realty specific price patterns or momentum indicators. Please read more on our technical analysis page.

Digital Realty December 1, 2024 Technical Indicators

Most technical analysis of Digital 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 Digital from various momentum indicators to cycle indicators. When you analyze Digital charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

Complementary Tools for Digital Stock analysis

When running Digital Realty's price analysis, check to measure Digital Realty's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Digital Realty is operating at the current time. Most of Digital Realty's value examination focuses on studying past and present price action to predict the probability of Digital Realty's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Digital Realty's price. Additionally, you may evaluate how the addition of Digital Realty to your portfolios can decrease your overall portfolio volatility.
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