SFS Group (Switzerland) Technical Analysis
| SFSN Stock | CHF 124.60 1.80 1.47% |
As of the 25th of November, SFS Group has the variance of 0.9891, and Risk Adjusted Performance of (0.03). In connection with fundamental indicators, the technical analysis model makes it possible for you to check practical technical drivers of SFS Group AG, as well as the relationship between them. Please validate SFS Group AG mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if SFS Group is priced adequately, providing market reflects its prevalent price of 124.6 per share.
SFS Group Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SFS, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SFSSFS |
SFS Group 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.
SFS Group AG 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 SFS Group AG volatility. High ATR values indicate high volatility, and low values indicate low volatility.
SFS Group AG Trend Analysis
Use this graph to draw trend lines for SFS Group AG. You can use it to identify possible trend reversals for SFS Group 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 SFS Group price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.SFS Group Best Fit Change Line
The following chart estimates an ordinary least squares regression model for SFS Group AG applied against its price change over selected period. The best fit line has a slop of 0.09 , which may suggest that SFS Group AG market price will keep on failing further. It has 122 observation points and a regression sum of squares at 304.72, which is the sum of squared deviations for the predicted SFS Group price change compared to its average price change.About SFS Group 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 SFS Group AG 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 SFS Group AG based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on SFS Group AG price pattern first instead of the macroeconomic environment surrounding SFS Group AG. By analyzing SFS Group'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 SFS Group'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 SFS Group specific price patterns or momentum indicators. Please read more on our technical analysis page.
SFS Group November 25, 2024 Technical Indicators
Most technical analysis of SFS 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 SFS from various momentum indicators to cycle indicators. When you analyze SFS 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.
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.03) | |||
| Market Risk Adjusted Performance | (0.1) | |||
| Mean Deviation | 0.7907 | |||
| Coefficient Of Variation | (2,770) | |||
| Standard Deviation | 0.9946 | |||
| Variance | 0.9891 | |||
| Information Ratio | (0.17) | |||
| Jensen Alpha | (0.1) | |||
| Total Risk Alpha | (0.20) | |||
| Treynor Ratio | (0.11) | |||
| Maximum Drawdown | 4.74 | |||
| Value At Risk | (1.90) | |||
| Potential Upside | 1.42 | |||
| Skewness | (0.19) | |||
| Kurtosis | 0.1003 |
Additional Tools for SFS Stock Analysis
When running SFS Group's price analysis, check to measure SFS Group's 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 SFS Group is operating at the current time. Most of SFS Group's value examination focuses on studying past and present price action to predict the probability of SFS Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SFS Group's price. Additionally, you may evaluate how the addition of SFS Group to your portfolios can decrease your overall portfolio volatility.