MRSN
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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 (MRSN) Business Model and Operations Summary
Mersana Therapeutics, Inc., a clinical stage biopharmaceutical company, develops antibody drug conjugates (ADC) for cancer patients with unmet need. It develops XMT-1592, a Dolasynthen ADC targeting NaPi2b-expressing tumor cells, which is in phase I clinical trial for the treatment of ovarian cancer and NSCLC adenocarcinoma. The company also develops XMT-1660, a B7-H4-targeted Dolasynthen ADC candidate; and XMT-2056, an immunosynthen development candidate. It has a strategic research and development partnerships with Merck KGaA and Asana BioSciences, LLC for the development of ADC product candidates utilizing Fleximer. The company was formerly known as Nanopharma Corp. and changed its name to Mersana Therapeutics, Inc. in November 2005. Mersana Therapeutics, Inc. was incorporated in 2001 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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