Falabella (Chile) Technical Analysis
| FALABELLA | CLP 3,300 42.00 1.26% |
As of the 1st of December, Falabella shows the Downside Deviation of 1.36, coefficient of variation of 2998.71, and Mean Deviation of 1.22. Falabella technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices. Please confirm Falabella standard deviation, treynor ratio, downside variance, as well as the relationship between the information ratio and value at risk to decide if Falabella is priced favorably, providing market reflects its regular price of 3300.0 per share.
Falabella Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Falabella, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FalabellaFalabella |
Falabella 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.
Falabella Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Falabella volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Falabella Trend Analysis
Use this graph to draw trend lines for Falabella. You can use it to identify possible trend reversals for Falabella 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 Falabella price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Falabella Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Falabella applied against its price change over selected period. The best fit line has a slop of 5.08 , which means Falabella will continue producing value for investors. It has 122 observation points and a regression sum of squares at 974748.77, which is the sum of squared deviations for the predicted Falabella price change compared to its average price change.About Falabella 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 Falabella 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 Falabella based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Falabella price pattern first instead of the macroeconomic environment surrounding Falabella. By analyzing Falabella'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 Falabella'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 Falabella specific price patterns or momentum indicators. Please read more on our technical analysis page.
Falabella December 1, 2024 Technical Indicators
Most technical analysis of Falabella 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 Falabella from various momentum indicators to cycle indicators. When you analyze Falabella 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 | 0.0305 | |||
| Market Risk Adjusted Performance | 0.2673 | |||
| Mean Deviation | 1.22 | |||
| Semi Deviation | 1.3 | |||
| Downside Deviation | 1.36 | |||
| Coefficient Of Variation | 2998.71 | |||
| Standard Deviation | 1.52 | |||
| Variance | 2.32 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | 0.0206 | |||
| Total Risk Alpha | (0.21) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.2573 | |||
| Maximum Drawdown | 5.58 | |||
| Value At Risk | (2.04) | |||
| Potential Upside | 3.1 | |||
| Downside Variance | 1.84 | |||
| Semi Variance | 1.68 | |||
| Expected Short fall | (1.39) | |||
| Skewness | 0.5041 | |||
| Kurtosis | (0.23) |
Other Information on Investing in Falabella Stock
Falabella financial ratios help investors to determine whether Falabella Stock 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 Falabella with respect to the benefits of owning Falabella security.