Lightpath Technologies LPTH
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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
Lightpath Technologies (LPTH) Business Model and Operations Summary
LightPath Technologies Inc is a manufacturer, distributor, and integrator of proprietary optical components and assemblies. It is also engaged in the research and development for optical solutions for the traditional optics markets and communications markets. The company's business based on the following product groups: precision molded optics, specialty products, and infrared products. It currently serves the following major markets, distribution and catalog, laser, industrial, instrumentation, telecommunications, and defense.
Key Insights
Lightpath Technologies (LPTH) Core Market Data and Business Metrics
Latest Closing Price
$2.8Market Cap
$102.10 MillionTotal Outstanding Shares
42.90 Million SharesTotal Employees
316IPO Date
February 22, 1996SIC Description
Semiconductors & Related DevicesPrimary Exchange
NASDAQHeadquarters
2603 Challenger Tech Ct, Orlando, FL, 32826
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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