Bullfrog AI BFRGW
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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
Bullfrog AI (BFRGW) Business Model and Operations Summary
Bullfrog AI Holdings Inc is a clinical-phase Biotechnology company using machine learning to advance medicine and improve human health. It uses artificial intelligence and machine learning to advance medicines for both internal and external projects. Its platform technology, named, bfLEAP, is an analytical AI/ML platform that is able to surmount the challenges of scalability and flexibility currently hindering researchers and clinicians by providing a more precise1, multi-dimensional understanding of its data.
Key Insights
Bullfrog AI (BFRGW) Core Market Data and Business Metrics
Latest Closing Price
$0.465Total Outstanding Shares
9.42 Million SharesTotal Employees
17IPO Date
February 14, 2023SIC Description
Pharmaceutical PreparationsPrimary Exchange
NASDAQHeadquarters
325 Ellington Blvd., Gaithersburg, MD, 20878
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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