KROS
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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 (KROS) Business Model and Operations Summary
Keros Therapeutics, Inc., a clinical-stage biopharmaceutical company, focuses on the discovery, development, and commercialization of novel treatments for patients suffering from hematological and musculoskeletal disorders with high unmet medical need. The company's lead protein therapeutic product candidate is KER-050, which is being developed for the treatment of low blood cell counts, or cytopenias, including anemia and thrombocytopenia in patients with myelodysplastic syndromes, and in patients with myelofibrosis. It is also developing small molecule product candidate KER-047 that is being developed for the treatment of anemia, and is currently in Phase 1 clinical trial; and KER-012, which is in Phase 1 clinical trial to treat disorders associated with bone loss, such as osteoporosis and osteogenesis imperfecta, and for the treatment of pulmonary arterial hypertension. The company was incorporated in 2015 and is headquartered in Lexington, 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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