Stak STAK
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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
Stak (STAK) Business Model and Operations Summary
Stak Inc is engaged in research, development, manufacturing, and sale of oilfield-specialized production and maintenance equipment. It design and manufacture oilfield-specialized production and maintenance equipment and also sell oilfield-specialized production and maintenance equipment components, related products, and provide automation solutions. Its products include oilfield vehicles such as oil pumping trucks, oil-well repair trucks, fracking trucks, well flushing-wax removal trucks, and boiler trucks. The company also produce specialized equipment and components for oil well repair and maintenance, fracking, oil well cleaning and wax removal, oil pumping, and boilers.
Key Insights
Stak (STAK) Core Market Data and Business Metrics
Latest Closing Price
$1.75Market Cap
$19.97 MillionAverage Trade Volume
708,616 SharesTotal Outstanding Shares
11.41 Million SharesCEO
Mr. Chuanbo JiangTotal Employees
47IPO Date
February 26, 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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