Safe Bulkers SB
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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
Safe Bulkers (SB) Business Model and Operations Summary
Safe Bulkers, Inc., together with its subsidiaries, provides marine drybulk transportation services. It owns and operates drybulk vessels for transporting bulk cargoes primarily coal, grain, and iron ore. As of March 18, 2022, the company had a fleet of 40 drybulk vessels having an average age of 10.4 years; and an aggregate carrying capacity of 3,925,500 deadweight tons. Its fleet consisted of 12 Panamax class vessels, 7 Kamsarmax class vessels, 15 post- Panamax class vessels, and 6 Capesize class vessels. Safe Bulkers, Inc. was incorporated in 2007 and is based in Monaco.
Key Insights
Safe Bulkers (SB) Core Market Data and Business Metrics
Latest Closing Price
$3.8Market Cap
$379.57 MillionAverage Trade Volume
536,290 SharesTotal Outstanding Shares
102.31 Million SharesCEO
Mr. Polys HajioannouTotal Employees
941IPO Date
May 29, 2008Primary 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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