Metro AG (Germany) Technical Analysis
| B4B Stock | EUR 4.01 0.03 0.74% |
As of the 18th of December 2024, Metro AG secures the Standard Deviation of 1.87, risk adjusted performance of (0.07), and Mean Deviation of 1.37. Metro AG technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the firm's future prices. Please verify Metro AG mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if Metro AG is priced some-what accurately, providing market reflects its recent price of 4.01 per share.
Metro AG Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Metro, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MetroMetro |
Metro AG 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.
Metro AG Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. 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 Metro AG volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Metro AG Trend Analysis
Use this graph to draw trend lines for Metro AG. You can use it to identify possible trend reversals for Metro AG 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 Metro AG price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Metro AG Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Metro AG applied against its price change over selected period. The best fit line has a slop of 0.01 , which may suggest that Metro AG market price will keep on failing further. It has 122 observation points and a regression sum of squares at 6.4, which is the sum of squared deviations for the predicted Metro AG price change compared to its average price change.About Metro AG 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 Metro AG 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 Metro AG based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Metro AG price pattern first instead of the macroeconomic environment surrounding Metro AG. By analyzing Metro AG'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 Metro AG'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 Metro AG specific price patterns or momentum indicators. Please read more on our technical analysis page.
Metro AG December 18, 2024 Technical Indicators
Most technical analysis of Metro 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 Metro from various momentum indicators to cycle indicators. When you analyze Metro 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 | (0.07) | |||
| Market Risk Adjusted Performance | (0.66) | |||
| Mean Deviation | 1.37 | |||
| Coefficient Of Variation | (989.83) | |||
| Standard Deviation | 1.87 | |||
| Variance | 3.5 | |||
| Information Ratio | (0.14) | |||
| Jensen Alpha | (0.22) | |||
| Total Risk Alpha | (0.35) | |||
| Treynor Ratio | (0.67) | |||
| Maximum Drawdown | 10.41 | |||
| Value At Risk | (3.25) | |||
| Potential Upside | 3.25 | |||
| Skewness | (0.07) | |||
| Kurtosis | 1.13 |
Metro AG December 18, 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 Metro 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 | 1.50 | ||
| Daily Balance Of Power | (1.50) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 4.00 | ||
| Day Typical Price | 4.00 | ||
| Price Action Indicator | (0.01) |
Complementary Tools for Metro Stock analysis
When running Metro AG's price analysis, check to measure Metro AG'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 Metro AG is operating at the current time. Most of Metro AG's value examination focuses on studying past and present price action to predict the probability of Metro AG's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Metro AG's price. Additionally, you may evaluate how the addition of Metro AG to your portfolios can decrease your overall portfolio volatility.
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
| Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
| Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account |