Phinia PHIN
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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
Phinia (PHIN) Business Model and Operations Summary
PHINIA Inc. develops and manufactures gasoline and diesel fuel injection components and systems. The company also sells products and services to independent aftermarket customers and original equipment service customers with new and remanufactured products. Its product portfolio includes a range of solutions covering the fuel injection, electronics and engine management, starters and alternators, maintenance, test equipment, and vehicle diagnostics categories. The company was incorporated in 2023 and is based in Auburn Hills, Michigan.
Key Insights
Phinia (PHIN) Core Market Data and Business Metrics
Latest Closing Price
$43.4Market Cap
$1.76 BillionAverage Trade Volume
605,822 SharesTotal Outstanding Shares
39.81 Million SharesCEO
Mr. Brady D. EricsonTotal Employees
12,700IPO Date
June 28, 2023SIC Description
Motor Vehicle Parts & AccessoriesPrimary Exchange
New York Stock ExchangeHeadquarters
3000 University Drive, Auburn Hills, MI, 48326
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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