Food Life (Germany) Technical Analysis
2G0 Stock | EUR 21.40 0.40 1.90% |
As of the 29th of November, Food Life shows the Downside Deviation of 1.86, coefficient of variation of 566.48, and Mean Deviation of 1.35. Food Life Companies 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 Food Life Companies downside deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if Food Life Companies is priced favorably, providing market reflects its regular price of 21.4 per share.
Food Life Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Food, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FoodFood |
Food Life 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.
Food Life Companies 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 Food Life Companies volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Food Life Companies Trend Analysis
Use this graph to draw trend lines for Food Life Companies. You can use it to identify possible trend reversals for Food Life 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 Food Life price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Food Life Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Food Life Companies applied against its price change over selected period. The best fit line has a slop of 0.06 , which means Food Life Companies will continue generating value for investors. It has 122 observation points and a regression sum of squares at 131.14, which is the sum of squared deviations for the predicted Food Life price change compared to its average price change.About Food Life 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 Food Life Companies 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 Food Life Companies based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Food Life Companies price pattern first instead of the macroeconomic environment surrounding Food Life Companies. By analyzing Food Life'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 Food Life'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 Food Life specific price patterns or momentum indicators. Please read more on our technical analysis page.
Food Life November 29, 2024 Technical Indicators
Most technical analysis of Food 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 Food from various momentum indicators to cycle indicators. When you analyze Food 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 | 0.1409 | |||
Market Risk Adjusted Performance | 12.14 | |||
Mean Deviation | 1.35 | |||
Semi Deviation | 1.23 | |||
Downside Deviation | 1.86 | |||
Coefficient Of Variation | 566.48 | |||
Standard Deviation | 1.75 | |||
Variance | 3.08 | |||
Information Ratio | 0.1051 | |||
Jensen Alpha | 0.2968 | |||
Total Risk Alpha | 0.0355 | |||
Sortino Ratio | 0.0989 | |||
Treynor Ratio | 12.13 | |||
Maximum Drawdown | 9.27 | |||
Value At Risk | (2.78) | |||
Potential Upside | 2.87 | |||
Downside Variance | 3.47 | |||
Semi Variance | 1.51 | |||
Expected Short fall | (1.85) | |||
Skewness | 0.45 | |||
Kurtosis | 0.7916 |
Food Life November 29, 2024 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Food stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
Accumulation Distribution | 0.00 | ||
Daily Balance Of Power | Huge | ||
Rate Of Daily Change | 1.02 | ||
Day Median Price | 21.40 | ||
Day Typical Price | 21.40 | ||
Price Action Indicator | 0.20 |
Complementary Tools for Food Stock analysis
When running Food Life's price analysis, check to measure Food Life'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 Food Life is operating at the current time. Most of Food Life's value examination focuses on studying past and present price action to predict the probability of Food Life's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Food Life's price. Additionally, you may evaluate how the addition of Food Life to your portfolios can decrease your overall portfolio volatility.
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