Digital Realty Preferred Stock Forecast - Simple Moving Average

DLR-PL Preferred Stock  USD 21.06  0.03  0.14%   
The Simple Moving Average forecasted value of Digital Realty Trust on the next trading day is expected to be 21.06 with a mean absolute deviation of 0.12 and the sum of the absolute errors of 6.96. Digital Preferred Stock Forecast is based on your current time horizon.
As of now the value of rsi of Digital Realty's share price is below 20 suggesting that the preferred stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of Digital Realty's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Digital Realty and does not consider all of the tangible or intangible factors available from Digital Realty's fundamental data. We analyze noise-free headlines and recent hype associated with Digital Realty Trust, which may create opportunities for some arbitrage if properly timed.
Using Digital Realty hype-based prediction, you can estimate the value of Digital Realty Trust from the perspective of Digital Realty response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Moving Average forecasted value of Digital Realty Trust on the next trading day is expected to be 21.06 with a mean absolute deviation of 0.12 and the sum of the absolute errors of 6.96.

Digital Realty after-hype prediction price

    
  USD 21.15  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as preferred stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of Digital Realty to cross-verify your projections.

Digital Realty Additional Predictive Modules

Most predictive techniques to examine Digital price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Digital using various technical 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.
A two period moving average forecast for Digital Realty is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Digital Realty Simple Moving Average Price Forecast For the 25th of January

Given 90 days horizon, the Simple Moving Average forecasted value of Digital Realty Trust on the next trading day is expected to be 21.06 with a mean absolute deviation of 0.12, mean absolute percentage error of 0.02, and the sum of the absolute errors of 6.96.
Please note that although there have been many attempts to predict Digital Preferred Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Digital Realty's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Digital Realty Preferred Stock Forecast Pattern

Backtest Digital RealtyDigital Realty Price PredictionBuy or Sell Advice 

Digital Realty Forecasted Value

In the context of forecasting Digital Realty's Preferred Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Digital Realty's downside and upside margins for the forecasting period are 20.46 and 21.66, respectively. We have considered Digital Realty's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
21.06
21.06
Expected Value
21.66
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Digital Realty preferred stock data series using in forecasting. Note that when a statistical model is used to represent Digital Realty preferred stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria112.4485
BiasArithmetic mean of the errors 0.0292
MADMean absolute deviation0.116
MAPEMean absolute percentage error0.0055
SAESum of the absolute errors6.96
The simple moving average model is conceptually a linear regression of the current value of Digital Realty Trust price series against current and previous (unobserved) value of Digital Realty. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for Digital Realty

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Digital Realty Trust. Regardless of method or technology, however, to accurately forecast the preferred stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the preferred stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Hype
Prediction
LowEstimatedHigh
20.5521.1521.75
Details
Intrinsic
Valuation
LowRealHigh
20.5721.1721.78
Details
Bollinger
Band Projection (param)
LowMiddleHigh
20.2720.6721.08
Details

Digital Realty After-Hype Price Prediction Density Analysis

As far as predicting the price of Digital Realty at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Digital Realty or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Preferred Stock prices, such as prices of Digital Realty, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Digital Realty Estimiated After-Hype Price Volatility

In the context of predicting Digital Realty's preferred stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Digital Realty's historical news coverage. Digital Realty's after-hype downside and upside margins for the prediction period are 20.55 and 21.75, respectively. We have considered Digital Realty's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
21.06
21.15
After-hype Price
21.75
Upside
Digital Realty is very steady at this time. Analysis and calculation of next after-hype price of Digital Realty Trust is based on 3 months time horizon.

Digital Realty Preferred Stock Price Prediction Analysis

Have you ever been surprised when a price of a Company such as Digital Realty is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Digital Realty backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Preferred Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Digital Realty, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.09 
0.60
  0.09 
  0.01 
9 Events / Month
6 Events / Month
In about 9 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
21.06
21.15
0.43 
61.22  
Notes

Digital Realty Hype Timeline

Digital Realty Trust is currently traded for 21.06. The entity has historical hype elasticity of 0.09, and average elasticity to hype of competition of 0.01. Digital is projected to increase in value after the next headline, with the price projected to jump to 21.15 or above. The average volatility of media hype impact on the company the price is about 61.22%. The price upswing on the next news is projected to be 0.43%, whereas the daily expected return is currently at -0.09%. The volatility of related hype on Digital Realty is about 500.0%, with the expected price after the next announcement by competition of 21.07. The company reported the revenue of 4.43 B. Net Income was 1.71 B with profit before overhead, payroll, taxes, and interest of 2.65 B. Assuming the 90 days trading horizon the next projected press release will be in about 9 days.
Check out Historical Fundamental Analysis of Digital Realty to cross-verify your projections.

Digital Realty Related Hype Analysis

Having access to credible news sources related to Digital Realty's direct competition is more important than ever and may enhance your ability to predict Digital Realty's future price movements. Getting to know how Digital Realty's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Digital Realty may potentially react to the hype associated with one of its peers.

Other Forecasting Options for Digital Realty

For every potential investor in Digital, whether a beginner or expert, Digital Realty's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Digital Preferred Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Digital. Basic forecasting techniques help filter out the noise by identifying Digital Realty's price trends.

Digital Realty Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Digital Realty preferred stock to make a market-neutral strategy. Peer analysis of Digital Realty could also be used in its relative valuation, which is a method of valuing Digital Realty by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Digital Realty Market Strength Events

Market strength indicators help investors to evaluate how Digital Realty preferred stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Digital Realty shares will generate the highest return on investment. By undertsting and applying Digital Realty preferred stock market strength indicators, traders can identify Digital Realty Trust entry and exit signals to maximize returns.

Digital Realty Risk Indicators

The analysis of Digital Realty's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Digital Realty's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting digital preferred stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Story Coverage note for Digital Realty

The number of cover stories for Digital Realty depends on current market conditions and Digital Realty's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Digital Realty is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Digital Realty's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Other Macroaxis Stories

Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios

Digital Realty Short Properties

Digital Realty's future price predictability will typically decrease when Digital Realty's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Digital Realty Trust often depends not only on the future outlook of the potential Digital Realty's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Digital Realty's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding284.4 M
Cash And Short Term Investments142.7 M

Other Information on Investing in Digital Preferred Stock

Digital Realty financial ratios help investors to determine whether Digital Preferred Stock 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 Digital with respect to the benefits of owning Digital Realty security.