Strauss (Israel) Technical Analysis
| STRS Stock | ILA 6,850 74.00 1.09% |
As of the 4th of December, Strauss has the Risk Adjusted Performance of 0.126, coefficient of variation of 638.04, and Semi Deviation of 1.25. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Strauss Group, as well as the relationship between them.
Strauss Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Strauss, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to StraussStrauss |
Strauss 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.
Strauss Group Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-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 Strauss Group volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Strauss Group Trend Analysis
Use this graph to draw trend lines for Strauss Group. You can use it to identify possible trend reversals for Strauss 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 Strauss price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Strauss Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Strauss Group applied against its price change over selected period. The best fit line has a slop of 21.49 , which means Strauss Group will continue producing value for investors. It has 122 observation points and a regression sum of squares at 1.746295035E7, which is the sum of squared deviations for the predicted Strauss price change compared to its average price change.About Strauss 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 Strauss Group 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 Strauss Group based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Strauss Group price pattern first instead of the macroeconomic environment surrounding Strauss Group. By analyzing Strauss'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 Strauss'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 Strauss specific price patterns or momentum indicators. Please read more on our technical analysis page.
Strauss December 4, 2024 Technical Indicators
Most technical analysis of Strauss 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 Strauss from various momentum indicators to cycle indicators. When you analyze Strauss 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 | 0.126 | |||
| Market Risk Adjusted Performance | 1.94 | |||
| Mean Deviation | 1.39 | |||
| Semi Deviation | 1.25 | |||
| Downside Deviation | 1.59 | |||
| Coefficient Of Variation | 638.04 | |||
| Standard Deviation | 2.16 | |||
| Variance | 4.65 | |||
| Information Ratio | 0.1042 | |||
| Jensen Alpha | 0.3104 | |||
| Total Risk Alpha | 0.0359 | |||
| Sortino Ratio | 0.1417 | |||
| Treynor Ratio | 1.93 | |||
| Maximum Drawdown | 15.08 | |||
| Value At Risk | (2.86) | |||
| Potential Upside | 3.7 | |||
| Downside Variance | 2.51 | |||
| Semi Variance | 1.56 | |||
| Expected Short fall | (1.57) | |||
| Skewness | 2.27 | |||
| Kurtosis | 11.39 |
Complementary Tools for Strauss Stock analysis
When running Strauss' price analysis, check to measure Strauss' 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 Strauss is operating at the current time. Most of Strauss' value examination focuses on studying past and present price action to predict the probability of Strauss' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Strauss' price. Additionally, you may evaluate how the addition of Strauss to your portfolios can decrease your overall portfolio volatility.
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