Vinci Shopping (Brazil) Technical Analysis
| VISC11 Fund | BRL 87.98 1.67 1.93% |
As of the 12th of December 2024, Vinci Shopping has the Risk Adjusted Performance of (0.13), coefficient of variation of (540.77), and Variance of 2.51. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Vinci Shopping Centers, as well as the relationship between them.
Vinci Shopping 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 Shopping technical fund 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, fund market cycles, or different charting patterns.
Vinci Shopping Centers Technical Analysis
The output start index for this execution was fourty-two with a total number of output elements of nineteen. 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 Shopping Centers volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Vinci Shopping Centers Trend Analysis
Use this graph to draw trend lines for Vinci Shopping Centers. You can use it to identify possible trend reversals for Vinci Shopping 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 Shopping price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Vinci Shopping Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Vinci Shopping Centers applied against its price change over selected period. The best fit line has a slop of 0.23 , which may suggest that Vinci Shopping Centers market price will keep on failing further. It has 122 observation points and a regression sum of squares at 2022.4, which is the sum of squared deviations for the predicted Vinci Shopping price change compared to its average price change.About Vinci Shopping 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 Shopping Centers 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 Shopping Centers based on its technical analysis. In general, a bottom-up approach, as applied to this fund, focuses on Vinci Shopping Centers price pattern first instead of the macroeconomic environment surrounding Vinci Shopping Centers. By analyzing Vinci Shopping'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 Shopping'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 Shopping specific price patterns or momentum indicators. Please read more on our technical analysis page.
Vinci Shopping December 12, 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 | (0.13) | |||
| Market Risk Adjusted Performance | (1.07) | |||
| Mean Deviation | 1.13 | |||
| Coefficient Of Variation | (540.77) | |||
| Standard Deviation | 1.59 | |||
| Variance | 2.51 | |||
| Information Ratio | (0.26) | |||
| Jensen Alpha | (0.34) | |||
| Total Risk Alpha | (0.55) | |||
| Treynor Ratio | (1.08) | |||
| Maximum Drawdown | 9.48 | |||
| Value At Risk | (3.01) | |||
| Potential Upside | 1.93 | |||
| Skewness | 0.5722 | |||
| Kurtosis | 2.44 |
Other Information on Investing in Vinci Fund
Vinci Shopping financial ratios help investors to determine whether Vinci Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Vinci with respect to the benefits of owning Vinci Shopping security.
| Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
| Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites | |
| Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account |