Baiya International Group BIYA
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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
Baiya International Group (BIYA) Business Model and Operations Summary
Baiya International Group Inc is a company which operates through its subsidiary Gongwuyuan operates a cloud-based internet platform to provide one-stop crowdsourcing recruitment and SaaS-enabled HR solutions in the flexible employment marketplace. The Company's business is focused around on four primary services which are job matching services, entrusted recruitment services, project outsourcing services and abor dispatching services in the flexible employment market within China, mainly in the core manufacturing regions including the Pearl River Delta and Yangtze River Delta region.
Key Insights
Baiya International Group (BIYA) Core Market Data and Business Metrics
Latest Closing Price
$4.88Market Cap
$58.09 MillionTotal Outstanding Shares
12.50 Million SharesIPO Date
March 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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