Digital Realty Trust DLRpL
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Relative Strength Index (RSI)
- The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in financial markets.
- The RSI is calculated using the following formula:
RSI = 100 - (100 / (1 + RS))
Where RS is the ratio of the average gains to the average losses over a specified period.
- The default time period used is 14 days.
- RSI values range between 0 and 100.
RSI values above 70 are considered overbought (indicating a potentially opportune time to sell)
RSI values below 30 are considered oversold (indicating a potentially opportune time to buy)
RSI is not a perfect indicator and should be used in conjunction with other technical analysis tools, this is for informational purposes only and is not a substitute for professional financial advice.
About
Digital Realty Trust (DLRpL) Business Model and Operations Summary
Digital Realty owns and operates over 300 data centers worldwide. It has nearly 40 million rentable square feet across five continents. Digital's offerings range from retail co-location, where an enterprise may rent a single cabinet and rely on Digital to provide all the accommodations, to "cold shells," where hyperscale cloud service providers can simply rent much, or all, of a barren, power-connected building. In recent years, Digital Realty has de-emphasized cold shells and now primarily provides higher-level service to tenants, which outsource their related IT needs to Digital. The company operates as a real estate investment trust.
Key Insights
Digital Realty Trust (DLRpL) Core Market Data and Business Metrics
Latest Closing Price
$20.39Total Outstanding Shares
13.80 Million SharesTotal Employees
3,936IPO Date
October 1, 2019SIC Description
Real Estate Investment TrustsPrimary Exchange
New York Stock ExchangeHeadquarters
2323 Bryan Street, Dallas, TX, 75201
Earnings Reports
Expected vs. Actual Quarterly Earnings-Per-Share & Revenue
Short Volume
Daily short volume activity identifies short-term trading pressure and potential price volatility
Revenue Breakdown
Distribution of revenue across unique business segments & geographies
Historical Stock Splits
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