LivePerson LPSN
$
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
LivePerson (LPSN) Business Model and Operations Summary
LivePerson Inc is the enterprise leader in digital customer conversation. The Conversational Cloud, the Company's enterprise-class digital customer conversation platform, is trusted by the world's top brands to accelerate their contact center transformation, orchestrate conversations across all channels, departments, and systems, increase agent productivity, and deliver more personalized, AI-empowered customer experiences. The company has a presence in the United Kingdom, Asia-Pacific, Latin America, and Europe.
Key Insights
LivePerson (LPSN) Core Market Data and Business Metrics
Latest Closing Price
$0.7231Market Cap
$72.83 MillionTotal Outstanding Shares
93.85 Million SharesTotal Employees
928IPO Date
April 7, 2000SIC Description
Services-prepackaged SoftwarePrimary Exchange
NASDAQHeadquarters
530 7th Avenue, New York, NY, 10018
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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