Science Applications International Stock Technical Analysis
| SAIC Stock | USD 109.07 0.33 0.30% |
As of the 23rd of January, Science Applications has the Coefficient Of Variation of 1308.7, risk adjusted performance of 0.0637, and Semi Deviation of 1.7. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Science Applications, as well as the relationship between them.
Science Applications Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Science, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ScienceScience Applications' Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.Science Applications Analyst Consensus
| Target Price | Advice | # of Analysts | |
| 117.56 | Buy | 12 | Odds |
Most Science analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Science stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Science Applications, talking to its executives and customers, or listening to Science conference calls.
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 (0.21) | Dividend Share 1.48 | Earnings Share 7.82 | Revenue Per Share | Quarterly Revenue Growth (0.06) |
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.
Science Applications '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 Science Applications' 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 Science Applications.
| 10/25/2025 |
| 01/23/2026 |
If you would invest 0.00 in Science Applications on October 25, 2025 and sell it all today you would earn a total of 0.00 from holding Science Applications International or generate 0.0% return on investment in Science Applications over 90 days. Science Applications is related to or competes with Paysafe, Avnet, NIQ Global, Verra Mobility, Ingram Micro, Paymentus Holdings, and Vicor. Science Applications International Corporation provides technical, engineering, and enterprise information technology se... More
Science Applications 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 Science Applications' 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 Science Applications International upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.95 | |||
| Information Ratio | 0.0386 | |||
| Maximum Drawdown | 20.14 | |||
| Value At Risk | (2.45) | |||
| Potential Upside | 3.42 |
Science Applications Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Science Applications' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Science Applications' standard deviation. In reality, there are many statistical measures that can use Science Applications historical prices to predict the future Science Applications' volatility.| Risk Adjusted Performance | 0.0637 | |||
| Jensen Alpha | 0.1162 | |||
| Total Risk Alpha | (0.15) | |||
| Sortino Ratio | 0.0545 | |||
| Treynor Ratio | 0.2239 |
Science Applications January 23, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0637 | |||
| Market Risk Adjusted Performance | 0.2339 | |||
| Mean Deviation | 1.6 | |||
| Semi Deviation | 1.7 | |||
| Downside Deviation | 1.95 | |||
| Coefficient Of Variation | 1308.7 | |||
| Standard Deviation | 2.75 | |||
| Variance | 7.58 | |||
| Information Ratio | 0.0386 | |||
| Jensen Alpha | 0.1162 | |||
| Total Risk Alpha | (0.15) | |||
| Sortino Ratio | 0.0545 | |||
| Treynor Ratio | 0.2239 | |||
| Maximum Drawdown | 20.14 | |||
| Value At Risk | (2.45) | |||
| Potential Upside | 3.42 | |||
| Downside Variance | 3.81 | |||
| Semi Variance | 2.87 | |||
| Expected Short fall | (1.74) | |||
| Skewness | 3.07 | |||
| Kurtosis | 17.84 |
Science Applications Backtested Returns
Science Applications appears to be very steady, given 3 months investment horizon. Science Applications owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.11, which indicates the firm had a 0.11 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Science Applications International, which you can use to evaluate the volatility of the company. Please review Science Applications' Risk Adjusted Performance of 0.0637, semi deviation of 1.7, and Coefficient Of Variation of 1308.7 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Science Applications holds a performance score of 8. The entity has a beta of 0.89, which indicates possible diversification benefits within a given portfolio. Science Applications returns are very sensitive to returns on the market. As the market goes up or down, Science Applications is expected to follow. Please check Science Applications' total risk alpha, downside variance, daily balance of power, as well as the relationship between the maximum drawdown and skewness , to make a quick decision on whether Science Applications' existing price patterns will revert.
Auto-correlation | -0.26 |
Weak reverse predictability
Science Applications International has weak reverse predictability. Overlapping area represents the amount of predictability between Science Applications time series from 25th of October 2025 to 9th of December 2025 and 9th of December 2025 to 23rd of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Science Applications price movement. The serial correlation of -0.26 indicates that nearly 26.0% of current Science Applications price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.26 | |
| Spearman Rank Test | -0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 22.94 |
Science Applications 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.
Science Applications Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Science Applications volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Science Applications Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Science Applications International on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Science Applications International based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Science Applications price pattern first instead of the macroeconomic environment surrounding Science Applications. By analyzing Science Applications's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Science Applications's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Science Applications specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2023 | 2024 | 2025 | 2026 (projected) | Dividend Yield | 0.0117 | 0.0138 | 0.0159 | 0.0314 | Price To Sales Ratio | 0.91 | 0.73 | 0.83 | 0.84 |
Science Applications January 23, 2026 Technical Indicators
Most technical analysis of Science help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Science from various momentum indicators to cycle indicators. When you analyze Science charts, please remember that the event formation may indicate an entry point for a short seller, and look at different 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 |
| Risk Adjusted Performance | 0.0637 | |||
| Market Risk Adjusted Performance | 0.2339 | |||
| Mean Deviation | 1.6 | |||
| Semi Deviation | 1.7 | |||
| Downside Deviation | 1.95 | |||
| Coefficient Of Variation | 1308.7 | |||
| Standard Deviation | 2.75 | |||
| Variance | 7.58 | |||
| Information Ratio | 0.0386 | |||
| Jensen Alpha | 0.1162 | |||
| Total Risk Alpha | (0.15) | |||
| Sortino Ratio | 0.0545 | |||
| Treynor Ratio | 0.2239 | |||
| Maximum Drawdown | 20.14 | |||
| Value At Risk | (2.45) | |||
| Potential Upside | 3.42 | |||
| Downside Variance | 3.81 | |||
| Semi Variance | 2.87 | |||
| Expected Short fall | (1.74) | |||
| Skewness | 3.07 | |||
| Kurtosis | 17.84 |
Science Applications January 23, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Science stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 7,808 | ||
| Daily Balance Of Power | 0.15 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 109.85 | ||
| Day Typical Price | 109.59 | ||
| Price Action Indicator | (0.61) |
Complementary Tools for Science Stock analysis
When running Science Applications' price analysis, check to measure Science Applications' 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 Science Applications is operating at the current time. Most of Science Applications' value examination focuses on studying past and present price action to predict the probability of Science Applications' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Science Applications' price. Additionally, you may evaluate how the addition of Science Applications to your portfolios can decrease your overall portfolio volatility.
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