Waste Management (Germany) Technical Analysis
UWS Stock | EUR 216.95 0.35 0.16% |
As of the 29th of November, Waste Management maintains the Market Risk Adjusted Performance of 0.6133, mean deviation of 0.8716, and Downside Deviation of 1.27. Relative to fundamental indicators, the technical analysis model lets you check existing technical drivers of Waste Management, as well as the relationship between them. Please check out Waste Management potential upside, and the relationship between the maximum drawdown and semi variance to decide if Waste Management is priced fairly, providing market reflects its latest price of 216.95 per share.
Waste Management Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Waste, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to WasteWaste |
Waste Management 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.
Waste Management 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 Waste Management volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Waste Management Trend Analysis
Use this graph to draw trend lines for Waste Management. You can use it to identify possible trend reversals for Waste Management 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 Waste Management price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Waste Management Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Waste Management applied against its price change over selected period. The best fit line has a slop of 0.56 , which means Waste Management will continue generating value for investors. It has 122 observation points and a regression sum of squares at 11943.4, which is the sum of squared deviations for the predicted Waste Management price change compared to its average price change.About Waste Management 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 Waste Management 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 Waste Management based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Waste Management price pattern first instead of the macroeconomic environment surrounding Waste Management. By analyzing Waste Management'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 Waste Management'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 Waste Management specific price patterns or momentum indicators. Please read more on our technical analysis page.
Waste Management November 29, 2024 Technical Indicators
Most technical analysis of Waste 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 Waste from various momentum indicators to cycle indicators. When you analyze Waste 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 | 0.1271 | |||
Market Risk Adjusted Performance | 0.6133 | |||
Mean Deviation | 0.8716 | |||
Semi Deviation | 1.0 | |||
Downside Deviation | 1.27 | |||
Coefficient Of Variation | 624.13 | |||
Standard Deviation | 1.35 | |||
Variance | 1.82 | |||
Information Ratio | 0.0673 | |||
Jensen Alpha | 0.1667 | |||
Total Risk Alpha | 0.003 | |||
Sortino Ratio | 0.0714 | |||
Treynor Ratio | 0.6033 | |||
Maximum Drawdown | 9.11 | |||
Value At Risk | (1.98) | |||
Potential Upside | 2.62 | |||
Downside Variance | 1.61 | |||
Semi Variance | 1.0 | |||
Expected Short fall | (0.94) | |||
Skewness | 0.5896 | |||
Kurtosis | 3.61 |
Complementary Tools for Waste Stock analysis
When running Waste Management's price analysis, check to measure Waste Management'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 Waste Management is operating at the current time. Most of Waste Management's value examination focuses on studying past and present price action to predict the probability of Waste Management's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Waste Management's price. Additionally, you may evaluate how the addition of Waste Management to your portfolios can decrease your overall portfolio volatility.
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