Predictive Oncology POAI
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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
Predictive Oncology (POAI) Business Model and Operations Summary
Predictive Oncology Inc functions in the healthcare domain. The firm's reportable segments are Pittsburgh segment that provides services which include the application of AI using its proprietary biobank of 150,000+ tumor samples. It also creates proprietary 3D culture models used in drug development; Birmingham segment that provides contract services and research focused on solubility improvements, stability studies, and protein production; and Eagan segment that produces the FDA-cleared STREAMWAY System and associated products for automated medical fluid waste management and patient-to-drain medical fluid disposal. It derives maximum revenue from Eagan Segment.
Key Insights
Predictive Oncology (POAI) Core Market Data and Business Metrics
Latest Closing Price
$0.8801Market Cap
$8.08 MillionTotal Outstanding Shares
8.93 Million SharesTotal Employees
24IPO Date
May 3, 2010SIC Description
Orthopedic, Prosthetic & Surgical Appliances & SuppliesPrimary Exchange
NASDAQHeadquarters
91 43rd Street, Pittsburgh, PA, 15201
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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