SSKN
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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 (SSKN) Business Model and Operations Summary
STRATA Skin Sciences, Inc., a medical technology company, develops, commercializes, and markets products for the treatment of dermatologic conditions in the United States, Europe, the Middle East, Asia, Australia, South Africa, and Central and South America. The company operates in two segments, Dermatology Recurring Procedures and Dermatology Procedures Equipment. Its products include XTRAC and Pharos excimer lasers, VTRAC lamp systems, and TheraClear treatment systems that are used for the treatment of psoriasis, vitiligo, acne, and other skin conditions. The company distributes its products internationally through distributors, and domestically directly to physicians. The company was formerly known as MELA Sciences, Inc and changed its name to STRATA Skin Sciences, Inc. in January 2016. STRATA Skin Sciences, Inc. was incorporated in 1989 and is based in Horsham, Pennsylvania.
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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