bioAffinity Technologies BIAF
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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
bioAffinity Technologies (BIAF) Business Model and Operations Summary
bioAffinity Technologies Inc addresses the need for noninvasive diagnosis of early-stage cancer and diseases of the lung and targeted cancer treatment. It develops proprietary noninvasive diagnostic tests and cancer therapeutics using technology that preferentially targets cancer cells and cell populations indicative of a diseased state. The company's product, CyPath Lung, is a noninvasive test for the detection of early-stage lung cancer.
Key Insights
bioAffinity Technologies (BIAF) Core Market Data and Business Metrics
Latest Closing Price
$0.28Market Cap
$7.42 MillionTotal Outstanding Shares
27.96 Million SharesTotal Employees
57IPO Date
September 1, 2022SIC Description
Services-commercial Physical & Biological ResearchPrimary Exchange
NASDAQHeadquarters
3300 Nacogdoches Road, San Antonio, TX, 78217
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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