One Stop Systems OSS
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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
One Stop Systems (OSS) Business Model and Operations Summary
One Stop Systems Inc designs, manufactures, and markets specialized rugged high-performance compute ("HPC"), high-speed switch fabrics, and storage systems, which are designed to target edge applications for artificial intelligence ("AI") / machine learning ("ML"), sensor processing, sensor fusion, and autonomy. The company operates in two reportable segments; OSS designs and manufactures high-performance customized computers and flash arrays, in-flight entertainment & connectivity. Bressner operates as a system integrator with standard and custom all-in-one hardware systems and components for many kinds of industrial environments. The company generates the majority of its revenue from the Bressner segment.
Key Insights
One Stop Systems (OSS) Core Market Data and Business Metrics
Latest Closing Price
$2.81Market Cap
$60.02 MillionTotal Outstanding Shares
21.59 Million SharesTotal Employees
110IPO Date
February 1, 2018SIC Description
Electronic ComputersPrimary Exchange
NASDAQHeadquarters
2235 Enterprise St Ste 110, Escondido, CA, 92029
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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