CHRS
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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 (CHRS) Business Model and Operations Summary
Coherus BioSciences, Inc., a biopharmaceutical company, focuses on the biosimilar and immuno-oncology market primarily in the United States. The company markets UDENYCA, a biosimilar to Neulasta, a long-acting granulocyte stimulating colony factor in the United States. Its pipeline products include biosimilars of Humira, Avastin, and Lucentis. The company also develops Toripalimab, a novel anti-PD-1 antibody for second-line treatment of melanoma in China; Bevacizumab biosimilar; and CHS-1420, an anti-TNF product candidate, as an adalimumab biosimilar; Ranibizumab biosimilar. Coherus BioSciences, Inc. has license agreements with Selexis SA; AbbVie, Inc.; Pfizer, Inc.; Bioeq AG; Innovent Biologics (Suzhou) Co., Ltd.; and Junshi Biosciences. The company was formerly known as BioGenerics, Inc. and changed its name to Coherus BioSciences, Inc. in April 2012. Coherus BioSciences, Inc. was incorporated in 2010 and is headquartered in Redwood City, 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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