Digital Realty Stock Forecast - Day Median Price
FQI Stock | EUR 169.02 1.00 0.59% |
Digital Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Digital Realty's historical fundamentals, such as revenue growth or operating cash flow patterns.
Digital |
Previous Day Median Price | Day Median Price | Trend |
171.2 | 170.48 |
Check Digital Realty Volatility | Backtest Digital Realty | Trend Details |
Digital Realty Trading Date Momentum
On December 27 2024 Digital Realty Trust was traded for 170.38 at the closing time. The highest daily price throughout the period was 171.44 and the lowest price was 170.26 . The daily volume was 7.0. The net trading volume on 12/27/2024 added to the next day price reduction. The overall trading delta to closing price of the next trading day was 0.50% . The overall trading delta to current closing price is 0.71% . |
The median price is the midpoint of the trading periods range.
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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.
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 | 1.28 | |||
Semi Deviation | 0.9859 | |||
Standard Deviation | 1.78 | |||
Variance | 3.17 | |||
Downside Variance | 1.63 | |||
Semi Variance | 0.972 | |||
Expected Short fall | (1.59) |
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.
Currently Active Assets on Macroaxis
Additional Information and Resources on Investing in Digital Stock
When determining whether Digital Realty Trust is a strong investment it is important to analyze Digital Realty's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Digital Realty's future performance. For an informed investment choice regarding Digital Stock, refer to the following important reports:Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.