METALL ZUG (UK) Technical Analysis
| 0QLX Stock | 1,145 20.00 1.78% |
As of the 13th of December 2024, METALL ZUG secures the Mean Deviation of 0.4581, market risk adjusted performance of 1.01, and Risk Adjusted Performance of (0.06). METALL ZUG 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 METALL ZUG AG information ratio, maximum drawdown, potential upside, as well as the relationship between the treynor ratio and value at risk to decide if METALL ZUG AG is priced more or less accurately, providing market reflects its recent price of 1145.0 per share.
METALL ZUG Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as METALL, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to METALLMETALL |
METALL ZUG 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.
METALL ZUG AG 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 METALL ZUG AG volatility. High ATR values indicate high volatility, and low values indicate low volatility.
METALL ZUG AG Trend Analysis
Use this graph to draw trend lines for METALL ZUG AG. You can use it to identify possible trend reversals for METALL ZUG 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 METALL ZUG price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.METALL ZUG Best Fit Change Line
The following chart estimates an ordinary least squares regression model for METALL ZUG AG applied against its price change over selected period. The best fit line has a slop of 1.55 , which may suggest that METALL ZUG AG market price will keep on failing further. It has 122 observation points and a regression sum of squares at 91075.96, which is the sum of squared deviations for the predicted METALL ZUG price change compared to its average price change.About METALL ZUG 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 METALL ZUG 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 METALL ZUG AG based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on METALL ZUG AG price pattern first instead of the macroeconomic environment surrounding METALL ZUG AG. By analyzing METALL ZUG'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 METALL ZUG'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 METALL ZUG specific price patterns or momentum indicators. Please read more on our technical analysis page.
METALL ZUG December 13, 2024 Technical Indicators
Most technical analysis of METALL 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 METALL from various momentum indicators to cycle indicators. When you analyze METALL 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 | (0.06) | |||
| Market Risk Adjusted Performance | 1.01 | |||
| Mean Deviation | 0.4581 | |||
| Coefficient Of Variation | (1,191) | |||
| Standard Deviation | 0.8761 | |||
| Variance | 0.7675 | |||
| Information Ratio | (0.21) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.21) | |||
| Treynor Ratio | 0.9994 | |||
| Maximum Drawdown | 5.1 | |||
| Value At Risk | (1.28) | |||
| Potential Upside | 1.25 | |||
| Skewness | (0.95) | |||
| Kurtosis | 6.05 |
Additional Tools for METALL Stock Analysis
When running METALL ZUG's price analysis, check to measure METALL ZUG'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 METALL ZUG is operating at the current time. Most of METALL ZUG's value examination focuses on studying past and present price action to predict the probability of METALL ZUG's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move METALL ZUG's price. Additionally, you may evaluate how the addition of METALL ZUG to your portfolios can decrease your overall portfolio volatility.