INAB
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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 (INAB) Business Model and Operations Summary
IN8bio, Inc., a clinical-stage biotechnology company, focuses on the discovery, development, and commercialization of gamma-delta T cell therapies for the treatment of cancers. Its lead product candidate includes INB-200, a genetically modified autologous gamma-delta T cell product candidate that is in Phase I clinical trial for the treatment of glioblastoma and solid tumors; and INB-100, an allogeneic product candidate, which is in Phase I clinical trial to treat patients with acute leukemia undergoing hematopoietic stem cell transplantation. It also develops INB-400 and INB-300 that is in preclinical Phase for treatment of various solid tumor cancers. The company was formerly known as Incysus Therapeutics, Inc. and changed its name to IN8bio, Inc. in August 2020. IN8bio, Inc. was incorporated in 2016 and is headquartered in New York, New York.
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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