NET Power NPWR.WS
$
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
NET Power (NPWR.WS) Business Model and Operations Summary
NET Power Inc is a clean energy technology company that has developed a novel power generation system, which it refers to as the NET Power Cycle, designed to produce clean, reliable, and low-cost electricity from natural gas while capturing virtually all atmospheric emissions. The company's business model is to license its technology to customers and enable them to build, own, and operate facilities that utilize the Net Power Cycle. It has conducted a successful demonstration of its technology at the La Porte Demonstration Facility and is developing a utility-scale power plant in Texas named Project Permian.
Key Insights
NET Power (NPWR.WS) Core Market Data and Business Metrics
Latest Closing Price
$0.2899Total Outstanding Shares
77.06 Million SharesTotal Employees
68IPO Date
August 6, 2021SIC Description
Electrical Industrial ApparatusPrimary Exchange
New York Stock ExchangeHeadquarters
320 Roney Street, Suite 200, Durham, NC, 27701
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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