Diana Shipping DSXpB
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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
Diana Shipping (DSXpB) Business Model and Operations Summary
Diana Shipping Inc provides shipping transportation services. The company, through its subsidiaries, operates a fleet of vessels consisting of dry bulk carriers such as Panamax, Kamsarmax, Post-Panamax, Capesize and Newcastlemax vessels. Using this fleet, the firm provides transportation services for various goods including coal, iron ore, and grains. It also transports minor bulks, including steel products, cement, and fertilizers through its dry bulk carrier vessels. The operation of the vessels is the main source of revenue generation, the services provided by the vessels are similar and all operate under the same economic environment.
Key Insights
Diana Shipping (DSXpB) Core Market Data and Business Metrics
Latest Closing Price
$26.29Total Outstanding Shares
2.60 Million SharesTotal Employees
981IPO Date
February 12, 2014Primary Exchange
New York Stock Exchange
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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