SLDB
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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 (SLDB) Business Model and Operations Summary
Solid Biosciences Inc. engages in developing therapies for duchenne muscular dystrophy in the United States. The company's lead product candidate is SGT-001, a gene transfer candidate, which is in a Phase I/II clinical trial to drive functional dystrophin protein expression in patients' muscles; and SGT-003, a ext-generation gene transfer candidate for the treatment of duchenne muscular dystrophy. It also engages in developing of platform technologies, including dual gene expression, a technology for packaging multiple transgenes into one vector, as well as novel capsids. The company has collaboration and license agreement with Ultragenyx Pharmaceutical Inc. to develop and commercialize new gene therapies for Duchenne Muscular Dystrophy. Solid Biosciences Inc. was incorporated in 2013 and is headquartered in Cambridge, Massachusetts.
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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