Vinci S (Germany) Technical Analysis
| SQU Stock | EUR 99.66 0.34 0.34% |
As of the 2nd of December, Vinci S has the Variance of 2.69, risk adjusted performance of (0.04), and Coefficient Of Variation of (1,702). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Vinci S A, as well as the relationship between them. Please validate Vinci S A coefficient of variation, treynor ratio, skewness, as well as the relationship between the variance and value at risk to decide if Vinci S is priced more or less accurately, providing market reflects its prevalent price of 99.66 per share.
Vinci S Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Vinci, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to VinciVinci |
Vinci S 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.
Vinci S A Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Vinci S A volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Vinci S A Trend Analysis
Use this graph to draw trend lines for Vinci S A. You can use it to identify possible trend reversals for Vinci S 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 Vinci S price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Vinci S Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Vinci S A applied against its price change over selected period. The best fit line has a slop of 0.18 , which may suggest that Vinci S A market price will keep on failing further. It has 122 observation points and a regression sum of squares at 1181.53, which is the sum of squared deviations for the predicted Vinci S price change compared to its average price change.About Vinci S 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 Vinci S A 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 Vinci S A based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Vinci S A price pattern first instead of the macroeconomic environment surrounding Vinci S A. By analyzing Vinci S'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 Vinci S'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 Vinci S specific price patterns or momentum indicators. Please read more on our technical analysis page.
Vinci S December 2, 2024 Technical Indicators
Most technical analysis of Vinci 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 Vinci from various momentum indicators to cycle indicators. When you analyze Vinci 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 | (0.04) | |||
| Market Risk Adjusted Performance | 0.3525 | |||
| Mean Deviation | 1.08 | |||
| Coefficient Of Variation | (1,702) | |||
| Standard Deviation | 1.64 | |||
| Variance | 2.69 | |||
| Information Ratio | (0.14) | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.38) | |||
| Treynor Ratio | 0.3425 | |||
| Maximum Drawdown | 11.78 | |||
| Value At Risk | (2.52) | |||
| Potential Upside | 1.86 | |||
| Skewness | 0.3891 | |||
| Kurtosis | 6.2 |
Complementary Tools for Vinci Stock analysis
When running Vinci S's price analysis, check to measure Vinci S'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 Vinci S is operating at the current time. Most of Vinci S's value examination focuses on studying past and present price action to predict the probability of Vinci S's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Vinci S's price. Additionally, you may evaluate how the addition of Vinci S to your portfolios can decrease your overall portfolio volatility.
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