Nortech Systems NSYS
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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
Nortech Systems (NSYS) Business Model and Operations Summary
Nortech Systems Inc is a United States-based electronic manufacturing services company. It offers value-added engineering, technical, and manufacturing services and support, including project management, design, testing, prototyping, manufacturing, supply chain management, and post-market services. The company's manufacturing and engineering services include complete medical devices, printed circuit board assemblies, wire and cable assemblies, and complex higher-level electro-mechanical assemblies. It operates in the Medical, Aerospace, Defense, and Industrial markets, with key revenue coming from medical-related markets.
Key Insights
Nortech Systems (NSYS) Core Market Data and Business Metrics
Latest Closing Price
$9.12Market Cap
$24.70 MillionTotal Outstanding Shares
2.76 Million SharesTotal Employees
744IPO Date
June 24, 1993SIC Description
Electronic Components, NecPrimary Exchange
NASDAQHeadquarters
7550 Meridian Circle N, Maple Grove, MN, 55369
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
Execution Date | Split Amount |
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