Predictive Oncology Stock Probability of Future Stock Price Finishing Over 0.72
| POAI Stock | USD 0.80 0.05 6.67% |
Predictive |
Predictive Oncology Target Price Odds to finish over 0.72
The tendency of Predictive Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to stay above $ 0.72 in 90 days |
| 0.80 | 90 days | 0.72 | about 67.53 |
Based on a normal probability distribution, the odds of Predictive Oncology to stay above $ 0.72 in 90 days from now is about 67.53 (This Predictive Oncology probability density function shows the probability of Predictive Stock to fall within a particular range of prices over 90 days) . Probability of Predictive Oncology price to stay between $ 0.72 and its current price of $0.8 at the end of the 90-day period is about 28.27 .
Given the investment horizon of 90 days the stock has the beta coefficient of 1.78 indicating as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, Predictive Oncology will likely underperform. Additionally Predictive Oncology has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. Predictive Oncology Price Density |
| Price |
Predictive Modules for Predictive Oncology
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Predictive Oncology. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Predictive Oncology Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Predictive Oncology is not an exception. The market had few large corrections towards the Predictive Oncology's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Predictive Oncology, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Predictive Oncology within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.39 | |
β | Beta against Dow Jones | 1.78 | |
σ | Overall volatility | 0.11 | |
Ir | Information ratio | -0.05 |
Predictive Oncology Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Predictive Oncology for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Predictive Oncology can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Predictive Oncology generated a negative expected return over the last 90 days | |
| Predictive Oncology has high historical volatility and very poor performance | |
| Predictive Oncology has some characteristics of a very speculative penny stock | |
| Predictive Oncology has a very high chance of going through financial distress in the upcoming years | |
| The company reported the previous year's revenue of 1.78 M. Net Loss for the year was (13.98 M) with profit before overhead, payroll, taxes, and interest of 1 M. | |
| Predictive Oncology currently holds about 25.39 M in cash with (13.19 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 0.32. | |
| Predictive Oncology has a frail financial position based on the latest SEC disclosures | |
| Latest headline from investing.com: Predictive Oncology faces Nasdaq delisting over equity shortfall |
Predictive Oncology Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Predictive Stock often depends not only on the future outlook of the current and potential Predictive Oncology's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Predictive Oncology's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 4 M | |
| Cash And Short Term Investments | 8.7 M |
Predictive Oncology Technical Analysis
Predictive Oncology's future price can be derived by breaking down and analyzing its technical indicators over time. Predictive Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Predictive Oncology. In general, you should focus on analyzing Predictive Stock price patterns and their correlations with different microeconomic environments and drivers.
Predictive Oncology Predictive Forecast Models
Predictive Oncology's time-series forecasting models is one of many Predictive Oncology's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Predictive Oncology's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.
Things to note about Predictive Oncology
Checking the ongoing alerts about Predictive Oncology for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Predictive Oncology help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Predictive Oncology generated a negative expected return over the last 90 days | |
| Predictive Oncology has high historical volatility and very poor performance | |
| Predictive Oncology has some characteristics of a very speculative penny stock | |
| Predictive Oncology has a very high chance of going through financial distress in the upcoming years | |
| The company reported the previous year's revenue of 1.78 M. Net Loss for the year was (13.98 M) with profit before overhead, payroll, taxes, and interest of 1 M. | |
| Predictive Oncology currently holds about 25.39 M in cash with (13.19 M) of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 0.32. | |
| Predictive Oncology has a frail financial position based on the latest SEC disclosures | |
| Latest headline from investing.com: Predictive Oncology faces Nasdaq delisting over equity shortfall |
Check out Predictive Oncology Backtesting, Predictive Oncology Valuation, Predictive Oncology Correlation, Predictive Oncology Hype Analysis, Predictive Oncology Volatility, Predictive Oncology History as well as Predictive Oncology Performance. For more detail on how to invest in Predictive Stock please use our How to Invest in Predictive Oncology guide.You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
Is Health Care Equipment & Supplies space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Predictive Oncology. If investors know Predictive will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Predictive Oncology listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (2.96) | Revenue Per Share 0.416 | Quarterly Revenue Growth (0.43) | Return On Assets (0.56) | Return On Equity (1.49) |
The market value of Predictive Oncology is measured differently than its book value, which is the value of Predictive that is recorded on the company's balance sheet. Investors also form their own opinion of Predictive Oncology's value that differs from its market value or its book value, called intrinsic value, which is Predictive Oncology's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Predictive Oncology's market value can be influenced by many factors that don't directly affect Predictive Oncology's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Predictive Oncology's value and its price as these two are different measures arrived at by different means. Investors typically determine if Predictive Oncology is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Predictive Oncology's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.