CRDF
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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 (CRDF) Business Model and Operations Summary
Cardiff Oncology, Inc., a clinical-stage oncology company, develops medicine treatment for cancer patients in California. Its lead drug candidate is onvansertib, an oral selective Polo-like Kinase 1 Inhibitor for anti-cancer therapeutics; CY140, an inhibitor of PLK1, PLK2, and PLK3 that is in phase 1/2 studies in solid tumors and leukemias; metastatic colorectal cancer that is in clinical trials; and TROV-054 is a Phase 1b/2 for FOLFIRI and bevacizumab. The company's TROV-053 is also in Phase II clinical trial in combination with Zytiga for metastatic castration-resistant prostate cancer. The company primarily serves pharmaceutical manufacturers. The company was formerly known as Trovagene, Inc. and changed its name to Cardiff Oncology, Inc. in May 2012. Cardiff Oncology, Inc. was incorporated in 1999 and is headquartered in San Diego, California.
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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