NKTX
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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 (NKTX) Business Model and Operations Summary
Nkarta, Inc., a a clinical-stage biopharmaceutical company, develops and commercializes cell therapies for cancer treatment. The company's approach for cellular immunotherapy involves chimeric antigen receptors on the surface of a natural killer (NK) cell that enable the cell to recognize specific proteins or antigens that are present on the surface of tumor cells. Its two co-lead product candidates are NKX101, which is in Phase I clinical trials for the treatment of relapsed/refractory acute myeloid leukemia or higher risk myelodysplastic syndromes; and NKX019, a pre-clinical product, which is based on the ability to treat various B cell malignancies by targeting the CD19 antigen found on these types of cancerous cells. The company has a research collaboration agreement with CRISPR Therapeutics AG. Nkarta, Inc. was incorporated in 2015 and is based in South San Francisco, California.
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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