Knightscope KSCP
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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
Knightscope (KSCP) Business Model and Operations Summary
Knightscope Inc is a security technology company based in Silicon Valley. It designs, develops, manufactures, markets, and supports Autonomous Security Robots (ASRs), autonomous charging stations, the proprietary Knightscope Security Operations Center software user interface, Emergency Communication Devices platform with real-time on-site data collection and analysis and a proprietary interface for both indoor and outdoor usage. In addition, it developed and operates the Knightscope Security Operations Center (KSOC) which allows real-time data access, a service accessible to all its clients.
Key Insights
Knightscope (KSCP) Core Market Data and Business Metrics
Latest Closing Price
$5.58Market Cap
$42.51 MillionTotal Outstanding Shares
6.56 Million SharesTotal Employees
71IPO Date
January 27, 2022SIC Description
Communications Equipment, NecPrimary Exchange
NASDAQHeadquarters
1070 Terra Bella Avenue, Mountain View, CA, 94043
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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