Predictive Oncology Stock Forecast - Double Exponential Smoothing

POAI Stock  USD 2.78  0.11  4.12%   
The Double Exponential Smoothing forecasted value of Predictive Oncology on the next trading day is expected to be 2.82 with a mean absolute deviation of  0.10  and the sum of the absolute errors of 6.28. Predictive Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Predictive Oncology stock prices and determine the direction of Predictive Oncology's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Predictive Oncology's historical fundamentals, such as revenue growth or operating cash flow patterns. Although Predictive Oncology's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Predictive Oncology's systematic risk associated with finding meaningful patterns of Predictive Oncology fundamentals over time.
Check out Historical Fundamental Analysis of Predictive Oncology to cross-verify your projections.
For more detail on how to invest in Predictive Stock please use our How to Invest in Predictive Oncology guide.
  
The Predictive Oncology's current Receivables Turnover is estimated to increase to 7.13, while Inventory Turnover is projected to decrease to 1.01. . The Predictive Oncology's current Common Stock Shares Outstanding is estimated to increase to about 88.1 M, while Net Loss is projected to decrease to (24.3 M).
Most investors in Predictive Oncology cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Predictive Oncology's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Predictive Oncology's price structures and extracts relationships that further increase the generated results' accuracy.
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Predictive Oncology works best with periods where there are trends or seasonality.

Predictive Oncology Double Exponential Smoothing Price Forecast For the 29th of March

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Predictive Oncology on the next trading day is expected to be 2.82 with a mean absolute deviation of 0.10, mean absolute percentage error of 0.02, and the sum of the absolute errors of 6.28.
Please note that although there have been many attempts to predict Predictive Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Predictive Oncology's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Predictive Oncology Stock Forecast Pattern

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Predictive Oncology Forecasted Value

In the context of forecasting Predictive Oncology's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Predictive Oncology's downside and upside margins for the forecasting period are 0.03 and 6.57, respectively. We have considered Predictive Oncology's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
2.78
2.82
Expected Value
6.57
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Predictive Oncology stock data series using in forecasting. Note that when a statistical model is used to represent Predictive Oncology stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors 0.011
MADMean absolute deviation0.1047
MAPEMean absolute percentage error0.0343
SAESum of the absolute errors6.2795
When Predictive Oncology prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Predictive Oncology trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Predictive Oncology observations are given relatively more weight in forecasting than the older observations.

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.
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.
Hype
Prediction
LowEstimatedHigh
0.142.786.52
Details
Intrinsic
Valuation
LowRealHigh
0.163.267.00
Details
1 Analysts
Consensus
LowTargetHigh
4.555.005.55
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Predictive Oncology. Your research has to be compared to or analyzed against Predictive Oncology's peers to derive any actionable benefits. When done correctly, Predictive Oncology's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Predictive Oncology.

Other Forecasting Options for Predictive Oncology

For every potential investor in Predictive, whether a beginner or expert, Predictive Oncology's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Predictive Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Predictive. Basic forecasting techniques help filter out the noise by identifying Predictive Oncology's price trends.

Predictive Oncology Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Predictive Oncology stock to make a market-neutral strategy. Peer analysis of Predictive Oncology could also be used in its relative valuation, which is a method of valuing Predictive Oncology by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Predictive Oncology Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Predictive Oncology's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Predictive Oncology's current price.

Predictive Oncology Market Strength Events

Market strength indicators help investors to evaluate how Predictive Oncology stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Predictive Oncology shares will generate the highest return on investment. By undertsting and applying Predictive Oncology stock market strength indicators, traders can identify Predictive Oncology entry and exit signals to maximize returns.

Predictive Oncology Risk Indicators

The analysis of Predictive Oncology's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Predictive Oncology's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting predictive stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Predictive Oncology in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Predictive Oncology's short interest history, or implied volatility extrapolated from Predictive Oncology options trading.

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When determining whether Predictive Oncology offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Predictive Oncology's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Predictive Oncology Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Predictive Oncology Stock:
Check out Historical Fundamental Analysis of Predictive Oncology to cross-verify your projections.
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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.

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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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
(4.68)
Revenue Per Share
0.458
Quarterly Revenue Growth
0.569
Return On Assets
(0.36)
Return On Equity
(0.89)
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.