Global Engine Group GLE
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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
Global Engine Group (GLE) Business Model and Operations Summary
Global Engine Group Holding Ltd offers integrated solutions by using ICT solutions to drive business outcomes and innovation. Its service offerings comprise services to telecom operators, including the one-stop shop purchase from telecom license application service to turnkey network setup as well as service outsourcing; business planning, development, technical and operations consulting programs structured to target the cloud computing and data center providers; system design, planning, development and operation services to technology companies; cloud platform deployment, IT system design and configuration services, maintenance services, data center colocation service and cloud service.
Key Insights
Global Engine Group (GLE) Core Market Data and Business Metrics
Latest Closing Price
$2.65Market Cap
$51.70 MillionTotal Outstanding Shares
18.30 Million SharesTotal Employees
4IPO Date
September 20, 2024Primary 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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