HeartSciences HSCS
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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
HeartSciences (HSCS) Business Model and Operations Summary
HeartSciences Inc is an artificial intelligence (AI)-powered medical technology company focused on transforming ECGs/EKGs to save lives through earlier detection of heart disease. Its objective is to improve healthcare by making it a far more valuable cardiac screening tool, particularly in frontline or point-of-care clinical settings. It is developing a suite of AI-ECG diagnostic solutions for use in any healthcare care setting, either via MyoVista Insights cloud-platform using one of the millions of ECG devices currently in clinical use or via MyoVista wavECG Device.
Key Insights
HeartSciences (HSCS) Core Market Data and Business Metrics
Latest Closing Price
$3.5319Market Cap
$4.63 MillionTotal Outstanding Shares
1.08 Million SharesTotal Employees
12IPO Date
June 15, 2022SIC Description
Orthopedic, Prosthetic & Surgical Appliances & SuppliesPrimary Exchange
NASDAQHeadquarters
550 Reserve St, Suite 360, Southlake, TX, 76092
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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