AIMD
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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
undefined (AIMD) Business Model and Operations Summary
Ainos, Inc., a healthcare company, engages in the developing medical technologies for point-of-care testing and safe and novel medical treatment for disease indications. The company offers COVID-19 antigen rapid test kit and Ainos' cloud-based test management App, a cloud-based test management platform comprising an antigen rapid test kit, a personal application, and an enterprise app; COVID-19 nucleic acid test; volatile organic compounds point-of-care testing; Very Low-Dose Oral Interferon Alpha, a low-dose oral interferon alpha formulation based IFN-a's broad treatment applications; and Synthetic RNA developing a SRNA technology platform in Taiwan. The company was formerly known as Amarillo Biosciences, Inc. and changed its name to Ainos, Inc. in May 2021. Ainos, Inc. was incorporated in 1984 and is based in San Diego, California.
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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