ASP Isotopes ASPI
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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
ASP Isotopes (ASPI) Business Model and Operations Summary
ASP Isotopes Inc., a pre-commercial stage advanced materials company, focuses on the production, distribution, marketing, and sale of isotopes. It develops Molybdenum-100, a non-radioactive isotope for the medical industry; Carbon-14; and Silicon-28. The company also Uranium-235, an isotope of uranium for carbon-free energy industry. ASP Isotopes Inc. was incorporated in 2021 and is based in Boca Raton, Florida.
Key Insights
ASP Isotopes (ASPI) Core Market Data and Business Metrics
Latest Closing Price
$7.56Market Cap
$609.33 MillionAverage Trade Volume
2,460,983 SharesTotal Outstanding Shares
75.06 Million SharesCEO
Mr. Paul Elliot Mann C.F.A.Total Employees
136IPO Date
November 10, 2022SIC Description
Miscellaneous Chemical ProductsPrimary Exchange
NASDAQHeadquarters
601 Pennsylvania Avenue Nw, Washington, DC, 20004
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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