Intelligent Living Application Group ILAG
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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
Intelligent Living Application Group (ILAG) Business Model and Operations Summary
Intelligent Living Application Group Inc focuses on designing and producing affordable, high-quality locksets and smart security systems. The company offers high-quality mechanical locksets and smart locks to its customers. Its product portfolio comprises various ODM indoor and outdoor locksets, such as deadbolts, entry locksets, privacy locksets, passage locksets, and storeroom locks, which are marketed through brands like Kambo and Bamberg. Geographically, the company generates a majority of its revenue from its customers in the United States and the rest from Canada.
Key Insights
Intelligent Living Application Group (ILAG) Core Market Data and Business Metrics
Latest Closing Price
$0.394Market Cap
$8.52 MillionTotal Outstanding Shares
20.77 Million SharesTotal Employees
238IPO Date
July 13, 2022Primary Exchange
NASDAQ
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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