Science Applications Stock Forward View - Simple Regression
| SAIC Stock | USD 97.00 3.88 3.85% |
Science Stock outlook 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 suggest always using this module together with an analysis of Science Applications' historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time, the value of RSI of Science Applications' share price is approaching 42. This usually implies that the stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Science Applications, making its price go up or down. Momentum 42
Sell Extended
Oversold | Overbought |
Using Science Applications hype-based prediction, you can estimate the value of Science Applications International from the perspective of Science Applications response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Science Applications International on the next trading day is expected to be 111.10 with a mean absolute deviation of 4.39 and the sum of the absolute errors of 268.04. Science Applications after-hype prediction price | USD 97.0 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Science Applications to cross-verify your projections. Science Applications Additional Predictive Modules
Most predictive techniques to examine Science price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Science using various technical indicators. When you analyze Science charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Science Applications Simple Regression Price Forecast For the 4th of February
Given 90 days horizon, the Simple Regression forecasted value of Science Applications International on the next trading day is expected to be 111.10 with a mean absolute deviation of 4.39, mean absolute percentage error of 26.76, and the sum of the absolute errors of 268.04.Please note that although there have been many attempts to predict Science Stock prices using its time series forecasting, we generally do not suggest 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 | Research Analysis |
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 108.32 and 113.89, 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 Simple 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 | 121.3974 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 4.3941 |
| MAPE | Mean absolute percentage error | 0.0451 |
| SAE | Sum of the absolute errors | 268.0394 |
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.Science Applications After-Hype Price Density Analysis
As far as predicting the price of Science Applications at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Science Applications or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Science Applications, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Science Applications Estimiated After-Hype Price Volatility
In the context of predicting Science Applications' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Science Applications' historical news coverage. Science Applications' after-hype downside and upside margins for the prediction period are 94.22 and 99.78, respectively. We have considered Science Applications' daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Science Applications is very steady at this time. Analysis and calculation of next after-hype price of Science Applications is based on 3 months time horizon.
Science Applications Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Science Applications is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Science Applications backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Science Applications, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.12 | 2.78 | 0.00 | 0.02 | 0 Events / Month | 2 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
97.00 | 97.00 | 0.00 |
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Science Applications Hype Timeline
Science Applications is at this time traded for 97.00. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.02. Science is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at 0.12%. %. The volatility of related hype on Science Applications is about 1828.95%, with the expected price after the next announcement by competition of 96.98. About 87.0% of the company shares are owned by institutional investors. The book value of Science Applications was at this time reported as 33.6. The company recorded earning per share (EPS) of 7.82. Science Applications last dividend was issued on the 14th of January 2026. Given the investment horizon of 90 days the next forecasted press release will be within a week. Check out Historical Fundamental Analysis of Science Applications to cross-verify your projections.Science Applications Related Hype Analysis
Having access to credible news sources related to Science Applications' direct competition is more important than ever and may enhance your ability to predict Science Applications' future price movements. Getting to know how Science Applications' peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Science Applications may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| PSFE | Paysafe | (0.18) | 6 per month | 0.00 | (0.16) | 4.29 | (5.02) | 31.29 | |
| AVT | Avnet Inc | (0.82) | 6 per month | 0.82 | 0.17 | 3.50 | (1.76) | 14.38 | |
| NIQ | NIQ Global Intelligence | (0.48) | 9 per month | 4.20 | (0.01) | 4.93 | (4.15) | 16.33 | |
| VRRM | Verra Mobility Corp | 0.00 | 0 per month | 0.00 | (0.26) | 2.25 | (2.65) | 8.35 | |
| INGM | Ingram Micro Holding | 0.00 | 0 per month | 0.00 | (0.05) | 3.45 | (2.64) | 9.17 | |
| PAY | Paymentus Holdings | (0.04) | 11 per month | 0.00 | (0.06) | 3.65 | (5.85) | 36.06 | |
| VICR | Vicor | 0.00 | 0 per month | 2.92 | 0.26 | 6.22 | (6.12) | 22.45 | |
| DLO | Dlocal | 0.00 | 0 per month | 0.00 | (0.05) | 3.11 | (4.13) | 11.21 | |
| SLAB | Silicon Laboratories | 0.00 | 0 per month | 2.19 | 0.03 | 4.49 | (3.67) | 11.70 | |
| CNXC | Concentrix | 0.00 | 0 per month | 3.94 | (0) | 5.72 | (5.95) | 19.52 |
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 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.
| Accumulation Distribution | 24511.37 | |||
| Daily Balance Of Power | (0.93) | |||
| Rate Of Daily Change | 0.96 | |||
| Day Median Price | 98.75 | |||
| Day Typical Price | 98.17 | |||
| Price Action Indicator | (3.69) | |||
| Period Momentum Indicator | (3.88) | |||
| Relative Strength Index | 42.9 |
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 | 1.54 | |||
| Semi Deviation | 1.67 | |||
| Standard Deviation | 2.78 | |||
| Variance | 7.73 | |||
| Downside Variance | 3.4 | |||
| Semi Variance | 2.79 | |||
| Expected Short fall | (1.73) |
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.
Story Coverage note for Science Applications
The number of cover stories for Science Applications depends on current market conditions and Science Applications' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Science Applications is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Science Applications' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Science Applications Short Properties
Science Applications' future price predictability will typically decrease when Science Applications' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Science Applications International often depends not only on the future outlook of the potential Science Applications' 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. Science Applications' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 50.5 M | |
| Cash And Short Term Investments | 56 M |
Check out Historical Fundamental Analysis of Science Applications to cross-verify your projections. You can also try the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
Will Stock sector continue expanding? Could Science diversify its offerings? 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. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Science Applications data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Science Applications's market price often diverges from its book value, the accounting figure shown on Science's balance sheet. Smart investors calculate Science Applications' intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Since Science Applications' trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental 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.