OFA Group OFAL
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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
OFA Group (OFAL) Business Model and Operations Summary
OFA Group provide architectural services, including design and fit out services for commercial and residential buildings. The design service includes both the consultation with staff and the actual design work and the Company provides a specific conceptualized design with layout plans, detailed design drawings, advice relating to, among other things, budgetary consideration, optimal use of space, the materials, fittings, furniture, appliances and other items to be used to produce a preliminary design plan and quotation. Its works include installing protective materials to cover floors or walls, installing or constructing partition walls, windows and window frames and decorative fittings, furniture or fixtures, installing plumbing systems, etc.
Key Insights
OFA Group (OFAL) Core Market Data and Business Metrics
Latest Closing Price
$2.38Market Cap
$70.28 MillionIPO Date
May 21, 2025Primary 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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