Waste Management (Germany) Momentum Indicators Aroon
| UWS Stock | EUR 204.50 1.60 0.78% |
| Symbol |
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Aroon Indicator was developed by Tushar S. Chande to indicate when a new trend is dawning. The indicator consists of two lines that measure how long it has been since the highest high/lowest low has occurred within an (N) period range. When Waste Management Aroon Up is staying between 70 and 100 then it indicates an upward trend. When the Aroon Down is staying between 70 and 100 then it indicates an downward trend. A strong upward trend is indicated when the Aroon Up is above 70 while the Aroon Down is below 30. When Waste Management Aroon Down crosses above the Aroon Up, it indicates a weakening of the upward trend (and vice versa).
Waste Management Technical Analysis Modules
Most technical analysis of Waste Management 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 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 |
About Waste Management Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Waste Management. We use our internally-developed statistical techniques to arrive at the intrinsic value of Waste Management based on widely used predictive technical indicators. In general, we focus on analyzing Waste Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Waste Management's daily price indicators and compare them against related drivers, such as momentum indicators and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Waste Management's intrinsic value. In addition to deriving basic predictive indicators for Waste Management, we also check how macroeconomic factors affect Waste Management price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Learn to be your own money manager
As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.Did you try this?
Run Portfolio File Import Now
Portfolio File ImportQuickly import all of your third-party portfolios from your local drive in csv format |
| All Next | Launch Module |
Waste Management pair trading
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Waste Management position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Waste Management will appreciate offsetting losses from the drop in the long position's value.Waste Management Pair Trading
Waste Management Pair Trading Analysis
The ability to find closely correlated positions to Waste Management could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Waste Management when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Waste Management - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Waste Management to buy it.
The correlation of Waste Management is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Waste Management moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Waste Management moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Waste Management can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional 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.