Domo DOMO
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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
Domo (DOMO) Business Model and Operations Summary
Domo Inc provides a cloud-based platform that digitally connects all the data, systems, and people in an organization, giving them access to real-time data and insights and allowing them to manage their business from their smartphones. The company offers a platform to its customers as a subscription-based service. Users receive notifications on any device and immediately act on the invitation, after which the system can write back to the original system of record. The company derives revenue from subscriptions to its cloud-based platform and professional services.
Key Insights
Domo (DOMO) Core Market Data and Business Metrics
Latest Closing Price
$12.7Market Cap
$517.83 MillionTotal Outstanding Shares
36.94 Million SharesTotal Employees
888IPO Date
June 29, 2018SIC Description
Services-prepackaged SoftwarePrimary Exchange
NASDAQHeadquarters
802 East 1050 South, American Fork, UT, 84003
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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