Empire Petroleum EP
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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
Empire Petroleum (EP) Business Model and Operations Summary
Empire Petroleum Corp is a conventional oil and natural gas producer with a main focus in the US onshore. The company possesses long-life, mature, producing assets with slow decline profiles in the Permian Basin, Bakken region and central Gulf Coast region, in the states of New Mexico, North Dakota, Montana, Louisiana and Texas. It has production from operated and non-operated wells in Lea County in New Mexico, Bottineau, Renville, Burke, and McKenzie Counties in North Dakota, Richland County in Montana, St. Landry, Beauregard Parishes in Louisiana and Houston, Leon and Madison Counties in Texas.
Key Insights
Empire Petroleum (EP) Core Market Data and Business Metrics
Latest Closing Price
$5.45Market Cap
$140.61 MillionTotal Outstanding Shares
33.72 Million SharesTotal Employees
63IPO Date
February 1, 1995SIC Description
Natural Gas TransmissionPrimary Exchange
American Stock ExchangeHeadquarters
1001 Louisiana Street, Houston, TX, 77002
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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