Vigil Neuroscience VIGL
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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
Vigil Neuroscience (VIGL) Business Model and Operations Summary
Vigil Neuroscience Inc is a clinical-stage biotechnology company engaged in improving the lives of patients, caregivers, and families affected by rare and common neurodegenerative diseases by pursuing the development of disease-modifying therapeutics to restore the vigilance of microglia. Microglia are the sentinel immune cells of the brain and play a critical role in maintaining central nervous system (CNS) health and responding to damage caused by disease. The group provides solutions for fully human monoclonal antibody and Oral small molecule TERM2 agonist.
Key Insights
Vigil Neuroscience (VIGL) Core Market Data and Business Metrics
Latest Closing Price
$7.89Market Cap
$367.77 MillionTotal Outstanding Shares
46.67 Million SharesTotal Employees
67IPO Date
January 7, 2022SIC Description
Biological Products, (no Disgnostic Substances)Primary Exchange
NASDAQHeadquarters
100 Forge Road, Watertown, MA, 02472
Earnings Reports
Expected vs. Actual Quarterly Earnings-Per-Share & Revenue
Short Volume
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Revenue Breakdown
Distribution of revenue across unique business segments & geographies
Historical Stock Splits
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