SEACOR Marine SMHI
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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
SEACOR Marine (SMHI) Business Model and Operations Summary
Seacor Marine Holdings Inc provides marine and support transportation services to offshore energy facilities globally. The company operates and manages a diverse fleet of offshore support vessels that deliver cargo and personnel to offshore installations, including wind farms, handle anchors, and mooring equipment for offshore rigs and platforms. Its geographical segment includes the United States (Gulf of Mexico), Africa and Europe, Middle East and Asia, and Latin America.
Key Insights
SEACOR Marine (SMHI) Core Market Data and Business Metrics
Latest Closing Price
$5.73Market Cap
$137.75 MillionTotal Outstanding Shares
26.85 Million SharesTotal Employees
1,239IPO Date
May 18, 2017SIC Description
Deep Sea Foreign Transportation Of FreightPrimary Exchange
New York Stock ExchangeHeadquarters
12121 Wickchester Lane, Houston, TX, 77079
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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