Claritev CTEV
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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
Claritev (CTEV) Business Model and Operations Summary
Claritev Corp is a healthcare technology, data, and insights company focused on improving transparency, affordability, and quality. The company provides tech-enabled solutions and services to interpret clients' needs and customize solutions that combine its payment integrity, network-based, and analytics-based services. The Company's focus is being a value-added provider of data analytics and technology-enabled end-to-end cost management, payment, and revenue integrity solutions to the U.S. healthcare industry.
Key Insights
Claritev (CTEV) Core Market Data and Business Metrics
Latest Closing Price
$38.45Market Cap
$450.36 MillionTotal Outstanding Shares
16.44 Million SharesTotal Employees
2,700IPO Date
April 3, 2020SIC Description
Services-business Services, NecPrimary Exchange
New York Stock ExchangeHeadquarters
7900 Tysons One Place, Mclean, VA, 22102
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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