EVO
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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 (EVO) Business Model and Operations Summary
Evotec SE operates as drug discovery and development partner for the pharmaceutical and biotechnology industry worldwide. The company is developing pharmaceutical products in various therapeutic areas, such as diabetes and complications of diabetes, fibrosis, infectious diseases, CNS diseases, oncology, pain and inflammation, immunology, rare diseases, respiratory diseases, and women's health. It has collaboration agreements with Bayer AG; Lilly; Chinook Therapeutics; Novo Nordisk A/S; Galapagos; Pfizer Inc.; CONBA Pharmaceutical Co., Ltd.; Bristol Myers Squibb Company; Zhejiang JingXin Pharmaceutical Co., Ltd; Kazia Therapeutics; Apeiron Biologics; and Takeda Pharmaceuticals. The company was formerly known as Evotec AG and changed its name to Evotec SE in April 2019. Evotec SE was incorporated in 1993 and is headquartered in Hamburg, Germany.
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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