Food Life (Germany) Price on November 15, 2024
| 2G0 Stock | EUR 19.20 0.50 2.67% |
If you're considering investing in Food Stock, it is important to understand the factors that can impact its price. As of today, the current price of Food Life stands at 19.20, as last reported on the 23rd of November, with the highest price reaching 19.20 and the lowest price hitting 19.00 during the day. At this point, Food Life is very steady. Food Life Companies secures Sharpe Ratio (or Efficiency) of 0.1, which denotes the company had a 0.1% return per unit of risk over the last 3 months. We have found thirty technical indicators for Food Life Companies, which you can use to evaluate the volatility of the firm. Please confirm Food Life's Downside Deviation of 1.86, mean deviation of 1.37, and Coefficient Of Variation of 558.75 to check if the risk estimate we provide is consistent with the expected return of 0.18%.
Food Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
Food |
Sharpe Ratio = 0.1031
| Best Portfolio | Best Equity | |||
| Good Returns | ||||
| Average Returns | ||||
| Small Returns | 2G0 | |||
| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
| Negative Returns |
Estimated Market Risk
| 1.75 actual daily | 15 85% of assets are more volatile |
Expected Return
| 0.18 actual daily | 3 97% of assets have higher returns |
Risk-Adjusted Return
| 0.1 actual daily | 8 92% of assets perform better |
Based on monthly moving average Food Life is performing at about 8% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Food Life by adding it to a well-diversified portfolio.
Food Life Valuation on November 15, 2024
It is possible to determine the worth of Food Life on a given historical date. On November 15, 2024 Food was worth 18.8 at the beginning of the trading date compared to the closed value of 19.0. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Food Life stock. Still, in general, we apply an absolute valuation method to find Food Life's value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Food Life where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Food Life's related companies.
| Open | High | Low | Close | Volume | |
| 18.80 | 18.80 | 18.80 | 18.80 | 1.00 | |
11/15/2024 | 18.80 | 19.00 | 18.80 | 19.00 | 1.00 |
| 18.70 | 18.70 | 18.60 | 18.60 | 1.00 |
| Backtest Food Life | | | Food Life History | | | Food Life Valuation | Previous | Next |
Food Life Trading Date Momentum on November 15, 2024
| On November 18 2024 Food Life Companies was traded for 18.60 at the closing time. The highest daily price throughout the period was 18.70 and the lowest price was 18.60 . There was no trading activity during the period 1.0. Lack of trading volume on 11/18/2024 added to the next day price reduction. The daily price change to closing price of the next trading day was 2.11% . The overall trading delta to current closing price is 0.00% . |
Food Life Companies Fundamentals Correlations and Trends
By evaluating Food Life's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Food Life's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Food financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Food Life Stock history
Food Life investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Food is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Food Life Companies will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Food Life stock prices may prove useful in developing a viable investing in Food Life
Food Life Stock Technical Analysis
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.
Price Boundaries
Food Life Period Price Range
Low | November 23, 2024
| High |
0.00 | 0.00 |
Food Life Companies cannot be verified against its exchange. Please verify the symbol is currently traded on Frankfurt Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Food Life November 23, 2024 Market Strength
Market strength indicators help investors to evaluate how Food Life stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Food Life shares will generate the highest return on investment. By undertsting and applying Food Life stock market strength indicators, traders can identify Food Life Companies entry and exit signals to maximize returns
Food Life Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Food Life's price direction in advance. Along with the technical and fundamental analysis of Food Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Food to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | 0.143 | |||
| Jensen Alpha | 0.2876 | |||
| Total Risk Alpha | 0.0285 | |||
| Sortino Ratio | 0.1021 | |||
| Treynor Ratio | 1.6 |
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
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.
| Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
| Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
| Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
| Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes |