Ooma OOMA
$
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
Ooma (OOMA) Business Model and Operations Summary
Ooma Inc is a communications services company. It is a smart software-as-a-service (SaaS) and unified communications platform that deliver voice and collaboration features including messaging, intelligent virtual attendants and video conferencing, and residential phone service provides PureVoice high-definition voice quality, advanced functionality and integration with mobile devices. Its services rely upon the following main elements: multi-tenant cloud service, on-premise devices, desktop and mobile applications, and calling platforms. It generates revenues from the sale of subscriptions and other services.
Key Insights
Ooma (OOMA) Core Market Data and Business Metrics
Latest Closing Price
$13.65Market Cap
$371.52 MillionTotal Outstanding Shares
27.56 Million SharesTotal Employees
1,186IPO Date
July 17, 2015SIC Description
Services-computer Processing & Data PreparationPrimary Exchange
New York Stock ExchangeHeadquarters
525 Almanor Avenue, Sunnyvale, CA, 94085
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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