Swatch (Germany) Technical Analysis
| UHRA Stock | EUR 8.15 0.05 0.62% |
As of the 22nd of December, Swatch has the Semi Deviation of 2.69, coefficient of variation of 4032.31, and Risk Adjusted Performance of 0.0273. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Swatch Group, as well as the relationship between them. Please validate Swatch Group variance, jensen alpha, and the relationship between the standard deviation and information ratio to decide if Swatch is priced more or less accurately, providing market reflects its prevalent price of 8.15 per share.
Swatch Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Swatch, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SwatchSwatch |
Swatch 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.
Swatch Group Technical Analysis
The output start index for this execution was twenty with a total number of output elements of fourty-one. 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 Swatch Group volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Swatch Group Trend Analysis
Use this graph to draw trend lines for The Swatch Group. You can use it to identify possible trend reversals for Swatch 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 Swatch price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Swatch Best Fit Change Line
The following chart estimates an ordinary least squares regression model for The Swatch Group applied against its price change over selected period. The best fit line has a slop of 0.02 , which may suggest that The Swatch Group market price will keep on failing further. It has 122 observation points and a regression sum of squares at 23.44, which is the sum of squared deviations for the predicted Swatch price change compared to its average price change.About Swatch 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 The Swatch 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 The Swatch Group based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Swatch Group price pattern first instead of the macroeconomic environment surrounding Swatch Group. By analyzing Swatch'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 Swatch'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 Swatch specific price patterns or momentum indicators. Please read more on our technical analysis page.
Swatch December 22, 2024 Technical Indicators
Most technical analysis of Swatch 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 Swatch from various momentum indicators to cycle indicators. When you analyze Swatch 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 | 0.0273 | |||
| Market Risk Adjusted Performance | 0.4176 | |||
| Mean Deviation | 1.87 | |||
| Semi Deviation | 2.69 | |||
| Downside Deviation | 4.59 | |||
| Coefficient Of Variation | 4032.31 | |||
| Standard Deviation | 3.31 | |||
| Variance | 10.98 | |||
| Information Ratio | 0.0151 | |||
| Jensen Alpha | 0.0683 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.0109 | |||
| Treynor Ratio | 0.4076 | |||
| Maximum Drawdown | 19.77 | |||
| Value At Risk | (5.26) | |||
| Potential Upside | 6.67 | |||
| Downside Variance | 21.06 | |||
| Semi Variance | 7.24 | |||
| Expected Short fall | (3.33) | |||
| Skewness | 0.1382 | |||
| Kurtosis | 3.31 |
Complementary Tools for Swatch Stock analysis
When running Swatch's price analysis, check to measure Swatch'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 Swatch is operating at the current time. Most of Swatch's value examination focuses on studying past and present price action to predict the probability of Swatch's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Swatch's price. Additionally, you may evaluate how the addition of Swatch to your portfolios can decrease your overall portfolio volatility.
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