Celcuity CELC
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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
Celcuity (CELC) Business Model and Operations Summary
Celcuity Inc is a clinical-stage biotechnology company pursuing development for oncology. The Company's lead therapeutic candidate is gedatolisib, a potent pan-PI3K and mTOR inhibitor. Its mechanism of action and pharmacokinetic properties are differentiated from other currently approved and investigational therapies that target PI3K or mTOR alone or together. A Phase 3 clinical trial, VIKTORIA-1, evaluating gedatolisib in combination with fulvestrant with or without palbociclib in patients with HR+/HER2- advanced breast cancer is currently enrolling patients.
Key Insights
Celcuity (CELC) Core Market Data and Business Metrics
Latest Closing Price
$10.63Market Cap
$399.11 MillionTotal Outstanding Shares
37.87 Million SharesTotal Employees
87IPO Date
September 20, 2017SIC Description
Services-medical LaboratoriesPrimary Exchange
NASDAQHeadquarters
16305 36th Avenue N, Minneapolis, MN, 55446
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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