Science Applications (Germany) Technical Analysis
85S Stock | 118.00 3.00 2.61% |
As of the 23rd of November, Science Applications has the Risk Adjusted Performance of 0.0305, semi deviation of 2.82, and Coefficient Of Variation of 3257.79. 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 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 three with a total number of output elements of fifty-eight. 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.
Science Applications Trend Analysis
Use this graph to draw trend lines for Science Applications International. You can use it to identify possible trend reversals for Science Applications as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Science Applications price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Science Applications Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Science Applications International applied against its price change over selected period. The best fit line has a slop of 0.20 , which means Science Applications International will continue generating value for investors. It has 122 observation points and a regression sum of squares at 1533.91, which is the sum of squared deviations for the predicted Science Applications price change compared to its average price change.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 November 23, 2024 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 | 0.0305 | |||
Market Risk Adjusted Performance | 0.0893 | |||
Mean Deviation | 1.26 | |||
Semi Deviation | 2.82 | |||
Downside Deviation | 4.17 | |||
Coefficient Of Variation | 3257.79 | |||
Standard Deviation | 2.51 | |||
Variance | 6.28 | |||
Information Ratio | (0.02) | |||
Jensen Alpha | (0.03) | |||
Total Risk Alpha | (0.33) | |||
Sortino Ratio | (0.01) | |||
Treynor Ratio | 0.0793 | |||
Maximum Drawdown | 21.06 | |||
Value At Risk | (2.08) | |||
Potential Upside | 2.61 | |||
Downside Variance | 17.42 | |||
Semi Variance | 7.96 | |||
Expected Short fall | (1.68) | |||
Skewness | (4.59) | |||
Kurtosis | 30.95 |
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.