Ainos AIMDW
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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.
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About
Ainos (AIMDW) Business Model and Operations Summary
Ainos Inc is engaged in developing biologics for the treatment of human and animal diseases. The company mainly focuses on the research of the treatment of human disease indications, particularly influenza, hepatitis C, thrombocytopenia, and other indications using natural human interferon-alpha that is administered in a proprietary low-dose oral form. Its product pipeline includes VELDONA Pet cytoprotein supplements for pets, VELDONA human therapeutics for clinical use, and telehealth-friendly POCTs powered by the AI Nose technology platform.
Key Insights
Ainos (AIMDW) Core Market Data and Business Metrics
Latest Closing Price
$0.1605Total Outstanding Shares
17.22 Million SharesTotal Employees
44IPO Date
August 5, 2022SIC Description
Pharmaceutical PreparationsPrimary Exchange
NASDAQHeadquarters
Ainos, Inc., San Diego, CA, 92108
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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