Metsera MTSR
$
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
Metsera (MTSR) Business Model and Operations Summary
Metsera, Inc., a clinical-stage biotechnology company, develops injectable and oral nutrient stimulated hormone analog peptides to treat obesity, overweight, and related diseases. It develops MET-097i and MET-233i for the treatment of obesity and overweight; MET-233i/MET-097i; and MET-002, MET-224o, MET-067i, and MET-034i to treat disorders, such as diabetes and obesity. The company was incorporated in 2022 and is headquartered in New York, New York.
Key Insights
Metsera (MTSR) Core Market Data and Business Metrics
Latest Closing Price
$26.72Market Cap
$2.92 BillionAverage Trade Volume
950,070 SharesTotal Outstanding Shares
105.06 Million SharesCEO
Mr. Christopher Whitten BernardTotal Employees
98IPO Date
January 31, 2025SIC Description
Pharmaceutical PreparationsPrimary Exchange
NASDAQHeadquarters
3 World Trade Center, New York, NY, 10007
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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