Cassava Sciences SAVA
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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
Cassava Sciences (SAVA) Business Model and Operations Summary
Cassava Sciences, Inc., a clinical stage biotechnology company, develops drugs for neurodegenerative diseases. Its lead therapeutic product candidate is simufilam, a small molecule drug, which is completed Phase 2b clinical trial; and investigational diagnostic product candidate is SavaDx, a blood-based biomarker/diagnostic to detect Alzheimer's disease. The company was formerly known as Pain Therapeutics, Inc. and changed its name to Cassava Sciences, Inc. in March 2019. Cassava Sciences, Inc. was incorporated in 1998 and is based in Austin, Texas.
Key Insights
Cassava Sciences (SAVA) Core Market Data and Business Metrics
Latest Closing Price
$2.01Market Cap
$102.90 MillionAverage Trade Volume
1,865,224 SharesTotal Outstanding Shares
48.31 Million SharesCEO
Mr. Richard Jon BarryTotal Employees
30IPO Date
July 14, 2000SIC Description
Pharmaceutical PreparationsPrimary Exchange
NASDAQHeadquarters
6801 N Capital Of Texas Highway, Austin, TX, 78731
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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