Digital Realty Trust Stock Overlap Studies Weighted Moving Average

DLR Stock  USD 178.57  1.76  1.00%   
Digital Realty overlap studies tool provides the execution environment for running the Weighted Moving Average study and other technical functions against Digital Realty. Digital Realty 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 overlap studies indicators. As with most other technical indicators, the Weighted Moving Average study function is designed to identify and follow existing trends. Digital Realty overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify Time Period to run this model.

The output start index for this execution was nineteen with a total number of output elements of fourty-two. The Weighted Moving Average calculates a weight for each value in Digital Realty price series with the more recent values given greater weights.

Digital Realty Technical Analysis Modules

Most technical analysis of Digital Realty 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 other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

About Digital Realty 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 Digital Realty Trust. We use our internally-developed statistical techniques to arrive at the intrinsic value of Digital Realty Trust based on widely used predictive technical indicators. In general, we focus on analyzing Digital Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Digital Realty's daily price indicators and compare them against related drivers, such as overlap studies 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 Digital Realty's intrinsic value. In addition to deriving basic predictive indicators for Digital Realty, we also check how macroeconomic factors affect Digital Realty price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2021 2022 2023 2024 (projected)
Dividend Yield0.02760.05050.03780.0651
Price To Sales Ratio11.286.127.344.94
Hype
Prediction
LowEstimatedHigh
176.38178.14179.90
Details
Intrinsic
Valuation
LowRealHigh
149.64151.40196.43
Details
Naive
Forecast
LowNextHigh
168.59170.35172.10
Details
25 Analysts
Consensus
LowTargetHigh
114.81126.16140.04
Details

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Digital Realty in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Digital Realty's short interest history, or implied volatility extrapolated from Digital Realty options trading.

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Additional 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.