Sensei Biotherapeutics SNSE
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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
Sensei Biotherapeutics (SNSE) Business Model and Operations Summary
Sensei Biotherapeutics Inc is an immuno-oncology company focused on the discovery and development of next-generation therapeutics for cancer patients. Its TMAb (Tumor Microenvironment Activated Biologics) platform developing selective therapeutics designed to disable immunosuppressive signals or activate immunostimulatory signals selectively in the tumor microenvironment. The company have four investigational product candidates in various stages of development: SNS-101 (VISTA), SNS-102 (VSIG4 ), SNS-103 (ENTPDase/CD39), SNS-201 (VISTAxCD28).
Key Insights
Sensei Biotherapeutics (SNSE) Core Market Data and Business Metrics
Latest Closing Price
$0.3152Market Cap
$7.79 MillionTotal Outstanding Shares
25.21 Million SharesTotal Employees
15IPO Date
February 4, 2021SIC Description
Pharmaceutical PreparationsPrimary Exchange
NASDAQHeadquarters
1405 Research Blvd, Suite 125, Rockville, MD, 20850
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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