Infosys INFY
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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
Infosys (INFY) Business Model and Operations Summary
Infosys Limited, together with its subsidiaries, provides consulting, technology, outsourcing, and next-generation digital services in North America, Europe, India, and internationally. It provides digital marketing and digital workplace, digital commerce, digital experience and interactions, metaverse, data analytics and AI, applied AI, generative AI, sustainability, blockchain, engineering, Internet of Things, enterprise agile DevOps, application modernization, cloud, digital process automation, digital supply chain, Microsoft business application and cloud business, service experience transformation, energy transition, cyber security, and quality engineering solutions; Oracle, SAP, and Saleforce solutions; API economy and microservices; and Topaz, an AI-first set of services, solutions, and platforms using generative AI technologies. The company's products and platforms include Finacle, a core banking solution; Edge suite of products; Panaya platform, Infosys Equinox, Infosys Helix, Infosys Applied AI, Infosys Cortex, and Stater digital platforms; and Infosys McCamish, an insurance platform. It serves aerospace and defense, agriculture, automotive, chemical manufacturing, communication, consumer packaged goods, education, engineering procurement and construction, healthcare, high technology, industrial manufacturing, information services and publishing, insurance, life science, logistics and distribution, media, entertainment, mining, oil and gas, private equity, professional, public, retail, travel, hospitality, utilities, and waste management industries. The company was formerly known as Infosys Technologies Limited and changed its name to Infosys Limited in June 2011. Infosys Limited was incorporated in 1981 and is headquartered in Bengaluru, India.
Key Insights
Infosys (INFY) Core Market Data and Business Metrics
Latest Closing Price
$18.31Market Cap
$77.29 BillionAverage Trade Volume
12,575,922 SharesTotal Outstanding Shares
4.15 Billion SharesCEO
Mr. Salil Satish ParekhTotal Employees
323,578IPO Date
March 11, 1999Primary Exchange
New York Stock Exchange
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
Segment | Revenue | YoY Change |
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Historical Stock Splits
Execution Date | Split Amount |
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Historical Dividends
Announcement Date | Payment Date | Record Date | Amount | Frequency |
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No historical dividends |