Science Applications (Germany) Technical Analysis
| 85S Stock | 86.50 0.50 0.58% |
As of the 29th of January, Science Applications has the Semi Deviation of 2.19, risk adjusted performance of 0.0257, and Coefficient Of Variation of 4048.48. Science Applications technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the company's future prices.
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 |
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.
| 10/31/2025 |
| 01/29/2026 |
If you would invest 0.00 in Science Applications on October 31, 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 United Microelectronics, HYATT HOTELS-A, MIRAMAR HOTEL, Sunstone Hotel, Benchmark Electronics, and InterContinental. 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 | 2.53 | |||
| Information Ratio | (0.0003) | |||
| Maximum Drawdown | 22.13 | |||
| Value At Risk | (3.97) | |||
| Potential Upside | 4.53 |
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 | 0.0257 | |||
| Jensen Alpha | 0.0587 | |||
| Total Risk Alpha | (0.20) | |||
| Sortino Ratio | (0.0004) | |||
| Treynor Ratio | 0.7895 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Science Applications' 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.
Science Applications January 29, 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 | 0.0257 | |||
| Market Risk Adjusted Performance | 0.7995 | |||
| Mean Deviation | 1.8 | |||
| Semi Deviation | 2.19 | |||
| Downside Deviation | 2.53 | |||
| Coefficient Of Variation | 4048.48 | |||
| Standard Deviation | 2.99 | |||
| Variance | 8.96 | |||
| Information Ratio | (0.0003) | |||
| Jensen Alpha | 0.0587 | |||
| Total Risk Alpha | (0.20) | |||
| Sortino Ratio | (0.0004) | |||
| Treynor Ratio | 0.7895 | |||
| Maximum Drawdown | 22.13 | |||
| Value At Risk | (3.97) | |||
| Potential Upside | 4.53 | |||
| Downside Variance | 6.39 | |||
| Semi Variance | 4.8 | |||
| Expected Short fall | (2.27) | |||
| Skewness | 2.24 | |||
| Kurtosis | 12.84 |
Science Applications Backtested Returns
Currently, Science Applications International is very steady. Science Applications owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0572, which indicates the firm had a 0.0572 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Science Applications International, which you can use to evaluate the volatility of the company. Please validate Science Applications' Semi Deviation of 2.19, risk adjusted performance of 0.0257, and Coefficient Of Variation of 4048.48 to confirm if the risk estimate we provide is consistent with the expected return of 0.17%. Science Applications has a performance score of 4 on a scale of 0 to 100. The entity has a beta of 0.081, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Science Applications' returns are expected to increase less than the market. However, during the bear market, the loss of holding Science Applications is expected to be smaller as well. Science Applications right now has a risk of 2.93%. Please validate Science Applications treynor ratio, expected short fall, and the relationship between the jensen alpha and potential upside , to decide if Science Applications will be following its existing price patterns.
Auto-correlation | -0.75 |
Almost perfect reverse predictability
Science Applications International has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Science Applications time series from 31st of October 2025 to 15th of December 2025 and 15th of December 2025 to 29th 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 -0.75 indicates that around 75.0% of current Science Applications price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.75 | |
| Spearman Rank Test | -0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 20.05 |
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 Normalized Average True Range is used to analyze tradable apportunities for Science Applications across different markets.
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.
Science Applications January 29, 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 | 0.0257 | |||
| Market Risk Adjusted Performance | 0.7995 | |||
| Mean Deviation | 1.8 | |||
| Semi Deviation | 2.19 | |||
| Downside Deviation | 2.53 | |||
| Coefficient Of Variation | 4048.48 | |||
| Standard Deviation | 2.99 | |||
| Variance | 8.96 | |||
| Information Ratio | (0.0003) | |||
| Jensen Alpha | 0.0587 | |||
| Total Risk Alpha | (0.20) | |||
| Sortino Ratio | (0.0004) | |||
| Treynor Ratio | 0.7895 | |||
| Maximum Drawdown | 22.13 | |||
| Value At Risk | (3.97) | |||
| Potential Upside | 4.53 | |||
| Downside Variance | 6.39 | |||
| Semi Variance | 4.8 | |||
| Expected Short fall | (2.27) | |||
| Skewness | 2.24 | |||
| Kurtosis | 12.84 |
Science Applications January 29, 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 | 0.02 | ||
| Daily Balance Of Power | 0.25 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 87.00 | ||
| Day Typical Price | 86.83 | ||
| Price Action Indicator | (0.25) | ||
| Market Facilitation Index | 2.00 |
Additional 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.