Viant Technology DSP
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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
Viant Technology (DSP) Business Model and Operations Summary
Viant Technology Inc is an advertising software company. The software enables the programmatic purchase of advertising, which is the electronification of the advertising buying process. It operates a cloud-based demand side platform ("DSP") that is used by marketers and its advertising agencies to centralize the planning, buying and measurement of its advertising across channels, including connected TV (CTV), streaming audio, digital out-of-home, mobile and desktop.
Key Insights
Viant Technology (DSP) Core Market Data and Business Metrics
Latest Closing Price
$13.79Market Cap
$221.53 MillionTotal Outstanding Shares
15.85 Million SharesTotal Employees
383IPO Date
February 10, 2021SIC Description
Services-computer Programming, Data Processing, Etc.Primary Exchange
NASDAQHeadquarters
2722 Michelson Drive, Irvine, CA, 92612
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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