Digital Realty Stock Forecast - Simple Moving Average
| DLR Stock | USD 161.57 2.41 1.51% |
Digital Stock outlook is based on your current time horizon. Although Digital Realty's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Digital Realty's systematic risk associated with finding meaningful patterns of Digital Realty fundamentals over time.
As of today, The relative strength index (RSI) of Digital Realty's share price is at 51 suggesting that the stock is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Digital Realty, making its price go up or down. Momentum 0
Sell Peaked
Oversold | Overbought |
Quarterly Earnings Growth 0.603 | EPS Estimate Next Quarter 0.25 | EPS Estimate Current Year 2.9877 | EPS Estimate Next Year 3.6149 | Wall Street Target Price 199.1852 |
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. We also analyze overall investor sentiment towards Digital Realty using Digital Realty's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Digital using crowd psychology based on the activity and movement of Digital Realty's stock price.
Digital Realty Short Interest
An investor who is long Digital Realty may also wish to track short interest. As short interest increases, investors should be becoming more worried about Digital Realty and may potentially protect profits, hedge Digital Realty with its derivative instruments, or be ready for some potential downside.
200 Day MA 165.8203 | Short Percent 0.0344 | Short Ratio 5.51 | Shares Short Prior Month 7.8 M | 50 Day MA 171.4878 |
Digital Relative Strength Index
The Simple Moving Average forecasted value of Digital Realty Trust on the next trading day is expected to be 161.57 with a mean absolute deviation of 2.05 and the sum of the absolute errors of 122.72.Digital Realty Trust Hype to Price Pattern
Investor biases related to Digital Realty's public news can be used to forecast risks associated with an investment in Digital. The trend in average sentiment can be used to explain how an investor holding Digital can time the market purely based on public headlines and social activities around Digital Realty Trust. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Digital Realty's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Digital Realty.
Digital Realty Implied Volatility | 0.44 |
Digital Realty's implied volatility exposes the market's sentiment of Digital Realty Trust stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Digital Realty's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Digital Realty stock will not fluctuate a lot when Digital Realty's options are near their expiration.
The Simple Moving Average forecasted value of Digital Realty Trust on the next trading day is expected to be 161.57 with a mean absolute deviation of 2.05 and the sum of the absolute errors of 122.72. Digital Realty after-hype prediction price | USD 161.57 |
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 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. Prediction based on Rule 16 of the current Digital contract
Based on the Rule 16, the options market is currently suggesting that Digital Realty Trust will have an average daily up or down price movement of about 0.0275% per day over the life of the 2026-04-17 option contract. With Digital Realty trading at USD 161.57, that is roughly USD 0.0444 . If you think that the market is fully incorporating Digital Realty's daily price movement you should consider acquiring Digital Realty Trust options at the current volatility level of 0.44%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Open Interest Against 2026-04-17 Digital Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Digital Realty's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Digital Realty's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Digital Realty stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Digital Realty's open interest, investors have to compare it to Digital Realty's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Digital Realty is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Digital. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Digital Realty Simple Moving Average Price Forecast For the 28th 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 161.57 with a mean absolute deviation of 2.05, mean absolute percentage error of 6.44, and the sum of the absolute errors of 122.72.Please note that although there have been many attempts to predict Digital 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 Stock Forecast Pattern
| Backtest Digital Realty | Digital Realty Price Prediction | Buy or Sell Advice |
Digital Realty Forecasted Value
In the context of forecasting Digital Realty's 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 160.14 and 163.00, 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.
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 stock data series using in forecasting. Note that when a statistical model is used to represent Digital Realty 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.| AIC | Akaike Information Criteria | 118.1355 |
| Bias | Arithmetic mean of the errors | 0.1632 |
| MAD | Mean absolute deviation | 2.0454 |
| MAPE | Mean absolute percentage error | 0.0129 |
| SAE | Sum of the absolute errors | 122.725 |
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 stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the 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.Digital Realty After-Hype Price 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 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 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 160.07 and 163.07, 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
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 Stock Price Outlook 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 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 Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.03 | 1.43 | 0.09 | 0.07 | 8 Events / Month | 6 Events / Month | In about 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
161.57 | 161.57 | 0.00 |
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Digital Realty Hype Timeline
On the 27th of January Digital Realty Trust is traded for 161.57. The entity has historical hype elasticity of 0.09, and average elasticity to hype of competition of 0.07. Digital is expected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is about 46.28%. The immediate return on the next news is expected to be very small, whereas the daily expected return is currently at -0.03%. %. The volatility of related hype on Digital Realty is about 58.03%, with the expected price after the next announcement by competition of 161.64. About 99.0% of the company shares are held by institutions such as insurance companies. The book value of Digital Realty was currently reported as 64.99. The company last dividend was issued on the 15th of December 2025. Digital Realty Trust had 1000:1005 split on the 14th of January 2015. Considering the 90-day investment horizon the next expected press release will be in about 8 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.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SPG | Simon Property Group | (0.38) | 15 per month | 0.75 | (0.01) | 1.59 | (1.60) | 5.19 | |
| O | Realty Income | (0.12) | 13 per month | 1.12 | (0.05) | 1.38 | (1.72) | 4.21 | |
| PSA | Public Storage | 11.50 | 10 per month | 0.00 | (0.14) | 2.27 | (2.17) | 6.57 | |
| CBRE | CBRE Group Class | 1.77 | 10 per month | 1.34 | 0.01 | 2.63 | (2.77) | 7.23 | |
| EQIX | Equinix | 1.27 | 7 per month | 0.00 | (0.06) | 2.23 | (2.25) | 7.72 | |
| CCI | Crown Castle | 0.65 | 12 per month | 0.00 | (0.17) | 2.14 | (3.04) | 7.08 | |
| AMT | American Tower Corp | 2.56 | 9 per month | 0.00 | (0.12) | 2.10 | (2.76) | 6.45 |
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 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 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 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 stock market strength indicators, traders can identify Digital Realty Trust entry and exit signals to maximize returns.
| Accumulation Distribution | 37431.82 | |||
| Daily Balance Of Power | 0.6325 | |||
| Rate Of Daily Change | 1.02 | |||
| Day Median Price | 161.51 | |||
| Day Typical Price | 161.53 | |||
| Price Action Indicator | 1.27 | |||
| Period Momentum Indicator | 2.41 | |||
| Relative Strength Index | 51.32 |
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 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.
| Mean Deviation | 1.17 | |||
| Standard Deviation | 1.52 | |||
| Variance | 2.3 |
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.
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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 Outstanding | 331.5 M | |
| Cash And Short Term Investments | 3.9 B |
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.