Kudelski (Switzerland) Technical Analysis
| KUD Stock | CHF 1.35 0.02 1.50% |
As of the 27th of November, Kudelski secures the Risk Adjusted Performance of (0.01), mean deviation of 1.98, and Standard Deviation of 2.57. Kudelski technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the firm's future prices. Please verify Kudelski variance, as well as the relationship between the maximum drawdown and skewness to decide if Kudelski is priced some-what accurately, providing market reflects its recent price of 1.35 per share.
Kudelski Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Kudelski, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to KudelskiKudelski |
Kudelski 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.
Kudelski Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-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 Kudelski volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Kudelski Trend Analysis
Use this graph to draw trend lines for Kudelski. You can use it to identify possible trend reversals for Kudelski 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 Kudelski price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Kudelski Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Kudelski applied against its price change over selected period. The best fit line has a slop of 0.0008 , which may suggest that Kudelski market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.02, which is the sum of squared deviations for the predicted Kudelski price change compared to its average price change.About Kudelski 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 Kudelski 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 Kudelski based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Kudelski price pattern first instead of the macroeconomic environment surrounding Kudelski. By analyzing Kudelski'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 Kudelski'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 Kudelski specific price patterns or momentum indicators. Please read more on our technical analysis page.
Kudelski November 27, 2024 Technical Indicators
Most technical analysis of Kudelski 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 Kudelski from various momentum indicators to cycle indicators. When you analyze Kudelski 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 | (0.01) | |||
| Market Risk Adjusted Performance | (0.31) | |||
| Mean Deviation | 1.98 | |||
| Coefficient Of Variation | (3,835) | |||
| Standard Deviation | 2.57 | |||
| Variance | 6.59 | |||
| Information Ratio | (0.08) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.48) | |||
| Treynor Ratio | (0.32) | |||
| Maximum Drawdown | 12.41 | |||
| Value At Risk | (4.23) | |||
| Potential Upside | 4.23 | |||
| Skewness | 0.3519 | |||
| Kurtosis | 0.5189 |
Additional Tools for Kudelski Stock Analysis
When running Kudelski's price analysis, check to measure Kudelski'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 Kudelski is operating at the current time. Most of Kudelski's value examination focuses on studying past and present price action to predict the probability of Kudelski's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Kudelski's price. Additionally, you may evaluate how the addition of Kudelski to your portfolios can decrease your overall portfolio volatility.