Science Applications Stock Forecast - Polynomial Regression
| SAIC Stock | USD 123.29 0.72 0.58% |
The Polynomial Regression forecasted value of Science Applications International on the next trading day is expected to be 111.55 with a mean absolute deviation of 3.26 and the sum of the absolute errors of 198.77. Science Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Science Applications stock prices and determine the direction of Science Applications International's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Science Applications' historical fundamentals, such as revenue growth or operating cash flow patterns.
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Science Applications Polynomial Regression Price Forecast For the 29th of November
Given 90 days horizon, the Polynomial Regression forecasted value of Science Applications International on the next trading day is expected to be 111.55 with a mean absolute deviation of 3.26, mean absolute percentage error of 25.38, and the sum of the absolute errors of 198.77.Please note that although there have been many attempts to predict Science 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 Science Applications' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Science Applications Stock Forecast Pattern
| Backtest Science Applications | Science Applications Price Prediction | Buy or Sell Advice |
Science Applications Forecasted Value
In the context of forecasting Science Applications' 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. Science Applications' downside and upside margins for the forecasting period are 109.21 and 113.88, respectively. We have considered Science Applications' 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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Science Applications stock data series using in forecasting. Note that when a statistical model is used to represent Science Applications 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.| AIC | Akaike Information Criteria | 121.3444 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 3.2585 |
| MAPE | Mean absolute percentage error | 0.0241 |
| SAE | Sum of the absolute errors | 198.7677 |
Predictive Modules for Science Applications
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Science Applications. 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.Other Forecasting Options for Science Applications
For every potential investor in Science, whether a beginner or expert, Science Applications' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Science Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Science. Basic forecasting techniques help filter out the noise by identifying Science Applications' price trends.Science Applications 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 Science Applications stock to make a market-neutral strategy. Peer analysis of Science Applications could also be used in its relative valuation, which is a method of valuing Science Applications by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Science Applications 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 Science Applications' 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 Science Applications' current price.| Cycle Indicators | ||
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Science Applications Market Strength Events
Market strength indicators help investors to evaluate how Science Applications stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Science Applications shares will generate the highest return on investment. By undertsting and applying Science Applications stock market strength indicators, traders can identify Science Applications International entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 123.29 | |||
| Day Typical Price | 123.29 | |||
| Price Action Indicator | (0.36) | |||
| Period Momentum Indicator | (0.72) | |||
| Relative Strength Index | 25.31 |
Science Applications Risk Indicators
The analysis of Science Applications' 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 Science Applications' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting science 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.
| Mean Deviation | 1.23 | |||
| Standard Deviation | 2.29 | |||
| Variance | 5.23 |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Science Applications offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Science Applications' 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 Science Applications International Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Science Applications International Stock:Check out Historical Fundamental Analysis of Science Applications to cross-verify your projections. You can also try the Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
Is IT Consulting & Other Services 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 Science Applications. If investors know Science 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 Science Applications listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.65) | Dividend Share 1.48 | Earnings Share 5.59 | Revenue Per Share 140.869 | Quarterly Revenue Growth 0.019 |
The market value of Science Applications is measured differently than its book value, which is the value of Science that is recorded on the company's balance sheet. Investors also form their own opinion of Science Applications' value that differs from its market value or its book value, called intrinsic value, which is Science Applications' 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 Science Applications' market value can be influenced by many factors that don't directly affect Science Applications' 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 Science Applications' value and its price as these two are different measures arrived at by different means. Investors typically determine if Science Applications is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Science Applications' 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.