Murphy Oil MUR
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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
Murphy Oil (MUR) Business Model and Operations Summary
Murphy Oil Corporation, together with its subsidiaries, operates as an oil and natural gas exploration and production company in the United States, Canada, and internationally. It explores for and produces crude oil, natural gas, and natural gas liquids. The company was formerly known as Murphy Corporation and changed its name to Murphy Oil Corporation in 1964. The company was incorporated in 1950 and is headquartered in Houston, Texas.
Key Insights
Murphy Oil (MUR) Core Market Data and Business Metrics
Latest Closing Price
$20.93Market Cap
$3.06 BillionAverage Trade Volume
3,384,703 SharesTotal Outstanding Shares
142.72 Million SharesCEO
Mr. Eric M. HamblyTotal Employees
750IPO Date
November 1, 1983SIC Description
Crude Petroleum & Natural GasPrimary Exchange
New York Stock ExchangeHeadquarters
9805 Katy Fwy, Houston, TX, 77024
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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