EPAM
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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
undefined (EPAM) Business Model and Operations Summary
EPAM Systems, Inc. provides digital platform engineering and software development services worldwide. The company offers engineering services, including requirements analysis and platform selection, customization, cross-platform migration, implementation, and integration; infrastructure management services, such as software development, testing, and maintenance with private, public, and mobile infrastructures for application, database, network, server, storage, and systems operations management, as well as monitoring, incident notification, and resolution services; and maintenance and support services. It also provides operation solutions comprising integrated engineering practices and smart automation; and optimization solutions that include software application testing, test management, automation, and consulting services to enable customers enhance their existing software testing and quality assurance practices, as well as other testing services that identify threats and close loopholes to protect its customers' business systems from information loss. In addition, the company offers business, experience, technology, data, and technical advisory consulting services; and digital and service design solutions, which comprise strategy, design, creative, and program management services, as well as physical product development, such as artificial intelligence, robotics, and virtual reality. It serves the financial services, travel and consumer, software and hi-tech, business information and media, life sciences and healthcare, and other industries. The company was founded in 1993 and is headquartered in Newtown, Pennsylvania.
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
Short Interest
Short Interest
This information represents bi-monthly aggregated short interest data reported to the Financial Industry Regulatory Authority (FINRA) by broker-dealers.
Settlement Date: The date on which the short interest data is considered settled, typically based on exchange reporting schedules.
Short Interest: The total number of shares that have been sold short but have not yet been covered or closed out.
Avg Daily Volume: The average daily trading volume for the stock over the specified period, typically used to contextualize short interest.
Days To Cover: The estimated number of days it would take to cover all short positions based on average trading volume.
Bi-monthly short interest levels can be used to gauge bearish market sentiment and short squeeze potential
Revenue Breakdown
Distribution of revenue across unique business segments & geographies
Historical Stock Splits
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