PYXS
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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 (PYXS) Business Model and Operations Summary
Pyxis Oncology, Inc., a preclinical stage biopharmaceutical company, engages in the development of therapies to treat cancers. Its immune-oncology product candidates include PYX-106, an investigational fully human immunoglobulin G1 isotype siglec-15 targeting antibody for the treatment of thyroid cancer, head and neck squamous cell carcinoma, non-small cell lung cancer (NSCLC), and other solid tumors; and PYX-102, an investigational immune-therapeutic for treatment of solid tumors. The company's antibody drug conjugate (ADC) product candidates comprise of PYX-201, an investigational novel ADC to treat NSCLC, breast cancer, and other solid tumors; PYX-202, an investigational novel ADC for treatment of SCLC, soft tissue sarcoma, and other solid tumors; and PYX-203, an investigational ADC for the treatment of acute myeloid leukemia and myeloid dysplastic syndrome. The company was incorporated in 2018 and is headquartered in Cambridge, Massachusetts.
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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