Serve Robotics SERV
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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
Serve Robotics (SERV) Business Model and Operations Summary
Serve Robotics Inc is developing next-generation robots for last-mile delivery services. It design, develop and operate low-emissions robots on AI-powered robotics mobility platform, that serve people in public spaces, starting with food delivery. Its first product is a zero-emission robot that serves people in public areas, Starting with food delivery. It has developed an AI-robotics mobility platform, with last-mile delivery in cities as its first application.
Key Insights
Serve Robotics (SERV) Core Market Data and Business Metrics
Latest Closing Price
$11.7Market Cap
$731.75 MillionTotal Outstanding Shares
57.12 Million SharesTotal Employees
121IPO Date
March 6, 2024SIC Description
General Industrial Machinery & Equipment, NecPrimary Exchange
NASDAQHeadquarters
730 Broadway, Redwood City, CA, 94063
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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