DarioHealth DRIO
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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
DarioHealth (DRIO) Business Model and Operations Summary
DarioHealth Corp is a digital therapeutics (DTx) company delivering personalized evidence-based interventions that are driven by precision data analytics, software, and personalized coaching. Its cross-functional team operates at the intersection of life sciences, behavioral science, and software technology to deliver seamlessly integrated and engaging digital therapeutics interventions. Also platform and suite of solutions deliver personalized and dynamic interventions driven by data analytics and one-on-one coaching for diabetes, hypertension, weight management, musculoskeletal pain, and behavioral health.
Key Insights
DarioHealth (DRIO) Core Market Data and Business Metrics
Latest Closing Price
$0.7151Market Cap
$31.56 MillionTotal Outstanding Shares
44.45 Million SharesTotal Employees
202IPO Date
March 8, 2013SIC Description
Surgical & Medical Instruments & ApparatusPrimary Exchange
NASDAQHeadquarters
322 W 57th St. #33b, New York, NY, 10019
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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