Fortune Brands (Germany) Technical Analysis
2FB Stock | EUR 74.00 0.50 0.68% |
As of the 15th of December 2024, Fortune Brands shows the Coefficient Of Variation of 4153.04, mean deviation of 1.07, and Downside Deviation of 1.95. Fortune Brands Home 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 Fortune Brands Home variance, jensen alpha, and the relationship between the standard deviation and information ratio to decide if Fortune Brands Home is priced favorably, providing market reflects its regular price of 74.0 per share.
Fortune Brands Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Fortune, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FortuneFortune |
Fortune Brands 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.
Fortune Brands Home Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-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 Fortune Brands Home volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Fortune Brands Home Trend Analysis
Use this graph to draw trend lines for Fortune Brands Home. You can use it to identify possible trend reversals for Fortune Brands 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 Fortune Brands price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Fortune Brands Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Fortune Brands Home applied against its price change over selected period. The best fit line has a slop of 0.14 , which may suggest that Fortune Brands Home market price will keep on failing further. It has 122 observation points and a regression sum of squares at 712.5, which is the sum of squared deviations for the predicted Fortune Brands price change compared to its average price change.About Fortune Brands 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 Fortune Brands Home 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 Fortune Brands Home based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Fortune Brands Home price pattern first instead of the macroeconomic environment surrounding Fortune Brands Home. By analyzing Fortune Brands'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 Fortune Brands'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 Fortune Brands specific price patterns or momentum indicators. Please read more on our technical analysis page.
Fortune Brands December 15, 2024 Technical Indicators
Most technical analysis of Fortune 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 Fortune from various momentum indicators to cycle indicators. When you analyze Fortune 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 | 0.0229 | |||
Market Risk Adjusted Performance | 0.1002 | |||
Mean Deviation | 1.07 | |||
Semi Deviation | 1.46 | |||
Downside Deviation | 1.95 | |||
Coefficient Of Variation | 4153.04 | |||
Standard Deviation | 1.59 | |||
Variance | 2.51 | |||
Information Ratio | (0.04) | |||
Total Risk Alpha | (0.17) | |||
Sortino Ratio | (0.03) | |||
Treynor Ratio | 0.0902 | |||
Maximum Drawdown | 10.1 | |||
Value At Risk | (2.72) | |||
Potential Upside | 2.06 | |||
Downside Variance | 3.81 | |||
Semi Variance | 2.13 | |||
Expected Short fall | (1.29) | |||
Skewness | 0.1941 | |||
Kurtosis | 3.84 |
Complementary Tools for Fortune Stock analysis
When running Fortune Brands' price analysis, check to measure Fortune Brands' 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 Fortune Brands is operating at the current time. Most of Fortune Brands' value examination focuses on studying past and present price action to predict the probability of Fortune Brands' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Fortune Brands' price. Additionally, you may evaluate how the addition of Fortune Brands to your portfolios can decrease your overall portfolio volatility.
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