Adaptimmune Therapeutics ADAP
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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
Adaptimmune Therapeutics (ADAP) Business Model and Operations Summary
Adaptimmune Therapeutics plc, a clinical-stage biopharmaceutical company, focuses on providing novel cell therapies primarily to patients with solid tumors in the United States and the United Kingdom. The company's specific peptide enhanced affinity receptor (SPEAR) T-cell platform enables it to identify cancer targets. It is developing ADP-A2M4 that is in phase II clinical trials with SPEARHEAD-1 for synovial sarcoma and myxoid round cell liposarcoma indications (MRCLS); in phase II clinical trials with SPEARHEAD-2 for patients with head and neck cancer; and in phase I clinical trials for urothelial, melanoma, head and neck, ovarian, non-small cell lung, esophageal and gastric, synovial sarcoma, and MRCLS cancers. The company is also developing ADP-A2AFP, which is in phase I clinical trials for hepatocellular carcinoma; and ADP-A2M4CD8, which is in phase I clinical trial for SPEAR T-cells focusing on treating patients with lung, gastroesophageal, head and neck, ovarian, and bladder cancers. It has a collaboration and license agreement with GSK; third party collaborations with Noile-Immune Biotech Inc., Alpine Immune Sciences, Inc., and National Center for Cancer Immune Therapy in Denmark; strategic alliance agreement with the MD Anderson Cancer Center; and co-development and co-commercialization agreement with Universal Cells, Inc. Adaptimmune Therapeutics plc also has a strategic collaboration and license agreement with Genentech, Inc. and F. Hoffman-La Roche Ltd to develop personalized allogeneic T-cell therapies utilizing aß T-cell receptors. Adaptimmune Therapeutics plc was founded in 2008 and is headquartered in Abingdon, the United Kingdom.
Key Insights
Adaptimmune Therapeutics (ADAP) Core Market Data and Business Metrics
Latest Closing Price
$0.2686Market Cap
$63.17 MillionAverage Daily Volume
1,352,677 Shares52-Week Range
$0.20-$1.48Total Outstanding Shares
265.05 Million SharesCEO
Adrian G. RawcliffeTotal Employees
506IPO Date
May 6, 2015SIC Description
Biological Products, (no Disgnostic Substances)Headquarters
60 Jubilee Avenue, Abingdon, Oxfordshire, X0, OX14 4RX
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
Short Interest
Short Interest
This information represents bi-monthly aggregated short interest data reported to the Financial Industry Regulatory Authority (FINRA) by broker-dealers.
Settlement Date: The date on which the short interest data is considered settled, typically based on exchange reporting schedules.
Short Interest: The total number of shares that have been sold short but have not yet been covered or closed out.
Avg Daily Volume: The average daily trading volume for the stock over the specified period, typically used to contextualize short interest.
Days To Cover: The estimated number of days it would take to cover all short positions based on average trading volume.
Bi-monthly short interest levels can be used to gauge bearish market sentiment and short squeeze potential
Revenue Breakdown
Distribution of revenue across unique business segments & geographies
Historical Stock Splits
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