Predictive Oncology Stock Market Value
| POAI Stock | USD 1.69 0.01 0.60% |
| Symbol | Predictive |
Predictive Oncology Price To Book Ratio
Is Predictive Oncology's industry 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 (3.48) | Revenue Per Share 0.443 | Quarterly Revenue Growth (0.08) | Return On Assets (0.43) | Return On Equity (0.93) |
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.
Predictive Oncology 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Predictive Oncology's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Predictive Oncology.
| 04/21/2024 |
| 05/21/2024 |
If you would invest 0.00 in Predictive Oncology on April 21, 2024 and sell it all today you would earn a total of 0.00 from holding Predictive Oncology or generate 0.0% return on investment in Predictive Oncology over 30 days. Predictive Oncology is related to or competes with GlucoTrack, Sharps Technology, Microbot Medical, Nexgel, Pro Dex, Innovative Eyewear, and JIN MEDICAL. Predictive Oncology Inc., a knowledge-driven company, focuses on developing personalized cancer therapies using artifici... More
Predictive Oncology Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Predictive Oncology's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Predictive Oncology upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 35.14 | |||
| Value At Risk | (10.98) | |||
| Potential Upside | 7.0 |
Predictive Oncology Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Predictive Oncology's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Predictive Oncology's standard deviation. In reality, there are many statistical measures that can use Predictive Oncology historical prices to predict the future Predictive Oncology's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.98) | |||
| Total Risk Alpha | (1.49) | |||
| Treynor Ratio | (0.21) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Predictive Oncology's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Predictive Oncology Backtested Returns
Predictive Oncology maintains Sharpe Ratio (i.e., Efficiency) of -0.16, which implies the firm had a -0.16% return per unit of risk over the last 3 months. Predictive Oncology exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Predictive Oncology's Variance of 39.57, risk adjusted performance of (0.06), and Coefficient Of Variation of (858.25) to confirm the risk estimate we provide. The company holds a Beta of 3.52, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Predictive Oncology will likely underperform. Predictive Oncology has an expected return of -1.03%. Please make sure to check Predictive Oncology skewness, and the relationship between the total risk alpha and rate of daily change , to decide if Predictive Oncology performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.08 |
Very weak reverse predictability
Predictive Oncology has very weak reverse predictability. Overlapping area represents the amount of predictability between Predictive Oncology time series from 21st of April 2024 to 6th of May 2024 and 6th of May 2024 to 21st of May 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Predictive Oncology price movement. The serial correlation of -0.08 indicates that barely 8.0% of current Predictive Oncology price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.08 | |
| Spearman Rank Test | -0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Predictive Oncology lagged returns against current returns
Autocorrelation, which is Predictive Oncology stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Predictive Oncology's stock expected returns. We can calculate the autocorrelation of Predictive Oncology returns to help us make a trade decision. For example, suppose you find that Predictive Oncology has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Predictive Oncology regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Predictive Oncology stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Predictive Oncology stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Predictive Oncology stock over time.
Current vs Lagged Prices |
| Timeline |
Predictive Oncology Lagged Returns
When evaluating Predictive Oncology's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Predictive Oncology stock have on its future price. Predictive Oncology autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Predictive Oncology autocorrelation shows the relationship between Predictive Oncology stock current value and its past values and can show if there is a momentum factor associated with investing in Predictive Oncology.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
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| VTSAX | Vanguard Total Stock |
Check out Predictive Oncology Correlation, Predictive Oncology Volatility and Predictive Oncology Alpha and Beta module to complement your research on Predictive Oncology. For more detail on how to invest in Predictive Stock please use our How to Invest in Predictive Oncology guide.Note that the Predictive Oncology information on this page should be used as a complementary analysis to other Predictive Oncology's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
Complementary Tools for Predictive Stock analysis
When running Predictive Oncology's price analysis, check to measure Predictive Oncology's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Predictive Oncology is operating at the current time. Most of Predictive Oncology's value examination focuses on studying past and present price action to predict the probability of Predictive Oncology's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Predictive Oncology's price. Additionally, you may evaluate how the addition of Predictive Oncology to your portfolios can decrease your overall portfolio volatility.
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| ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |
Predictive Oncology technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.