AB SKF (Germany) Technical Analysis
| SKFA Stock | EUR 17.50 0.06 0.34% |
As of the 29th of November, AB SKF owns the Standard Deviation of 2.38, market risk adjusted performance of 0.1491, and Coefficient Of Variation of 2375.66. In connection with fundamental indicators, the technical analysis model gives you tools to check timely technical drivers of AB SKF, as well as the relationship between them. Please confirm AB SKF semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation to decide if AB SKF is priced fairly, providing market reflects its prevailing price of 17.5 per share.
AB SKF Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SKFA, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SKFASKFA |
AB SKF 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.
AB SKF Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 AB SKF volatility. High ATR values indicate high volatility, and low values indicate low volatility.
AB SKF Trend Analysis
Use this graph to draw trend lines for AB SKF. You can use it to identify possible trend reversals for AB SKF 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 AB SKF price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.AB SKF Best Fit Change Line
The following chart estimates an ordinary least squares regression model for AB SKF applied against its price change over selected period. The best fit line has a slop of 0.02 , which means AB SKF will continue generating value for investors. It has 122 observation points and a regression sum of squares at 17.92, which is the sum of squared deviations for the predicted AB SKF price change compared to its average price change.About AB SKF 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 AB SKF 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 AB SKF based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on AB SKF price pattern first instead of the macroeconomic environment surrounding AB SKF. By analyzing AB SKF'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 AB SKF'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 AB SKF specific price patterns or momentum indicators. Please read more on our technical analysis page.
AB SKF November 29, 2024 Technical Indicators
Most technical analysis of SKFA 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 SKFA from various momentum indicators to cycle indicators. When you analyze SKFA 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 | 0.039 | |||
| Market Risk Adjusted Performance | 0.1491 | |||
| Mean Deviation | 1.62 | |||
| Semi Deviation | 1.89 | |||
| Downside Deviation | 2.03 | |||
| Coefficient Of Variation | 2375.66 | |||
| Standard Deviation | 2.38 | |||
| Variance | 5.67 | |||
| Information Ratio | (0.01) | |||
| Jensen Alpha | 0.0154 | |||
| Total Risk Alpha | (0.27) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.1391 | |||
| Maximum Drawdown | 16.02 | |||
| Value At Risk | (3.07) | |||
| Potential Upside | 3.58 | |||
| Downside Variance | 4.13 | |||
| Semi Variance | 3.57 | |||
| Expected Short fall | (1.95) | |||
| Skewness | 1.05 | |||
| Kurtosis | 4.04 |
Complementary Tools for SKFA Stock analysis
When running AB SKF's price analysis, check to measure AB SKF'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 AB SKF is operating at the current time. Most of AB SKF's value examination focuses on studying past and present price action to predict the probability of AB SKF's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AB SKF's price. Additionally, you may evaluate how the addition of AB SKF to your portfolios can decrease your overall portfolio volatility.
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