Viavi Solutions VIAV
$
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
Viavi Solutions (VIAV) Business Model and Operations Summary
Viavi Solutions Inc. provides network test, monitoring, and assurance solutions to communications service providers, enterprises, network equipment manufacturers, original equipment manufacturers, government, and avionics customers worldwide. The company operates through three segments: Network Enablement (NE), Service Enablement (SE), and Optical Security and Performance Products (OSP) segments. The NE segment offers testing solutions that access the network to perform build-out and maintenance tasks. This segment provides solutions that include instruments, software, and services to design, build, activate, certify, troubleshoot, and optimize networks; and instrumentation for communication and safety. It also offers support and professional services, such as repair, calibration, software support, and technical assistance for the products; and system integration projects, including project management, installation, and implementation, as well as product and technology training, and consulting services. The SE segment provides embedded systems and enterprise performance management solutions for communication service providers, enterprises, and cloud operators with visibility into network, service, and application data. Its solutions include instruments, microprobes, and software, which monitor, collect, and analyze network data to reveal the actual customer experience and to identify opportunities for new revenue streams and network optimization. The OSP segment offers optical products for anti-counterfeiting, consumer and industrial, government, automotive, and industrial markets. The company was formerly known as JDS Uniphase Corporation and changed its name to Viavi Solutions Inc. in August 2015. Viavi Solutions Inc. was founded in 1923 and is headquartered in Scottsdale, Arizona.
Key Insights
Viavi Solutions (VIAV) Core Market Data and Business Metrics
Latest Closing Price
$10.44Market Cap
$2.21 BillionAverage Daily Volume
2,239,076 Shares52-Week Range
$6.6-$12.91Total Outstanding Shares
223.24 Million SharesCEO
Mr. Oleg KhaykinTotal Employees
3,600IPO Date
November 1, 1993SIC Description
Semiconductors & Related DevicesHeadquarters
1445 South Spectrum Blvd., Chandler, AZ, 85286
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
Execution Date | Split Amount |
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