Multi Manager (Denmark) Momentum Indicators Average Directional Movement Index

MMIGLVAAKTAKK  DKK 147.95  0.35  0.24%   
Multi Manager momentum indicators tool provides the execution environment for running the Average Directional Movement Index indicator and other technical functions against Multi Manager. Multi Manager value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of momentum indicators indicators. As with most other technical indicators, the Average Directional Movement Index indicator function is designed to identify and follow existing trends. Momentum indicators of Multi Manager are pattern recognition functions that provide distinct formation on Multi Manager potential trading signals or future price movement. Analysts can use these trading signals to identify current and future trends and trend reversals to provide buy and sell recommendations. Please specify Time Period to run this model.

We are not able to run technical analysis function on this symbol. We either do not have that equity or its historical data is not available at this time. Please try again later.

Multi Manager Technical Analysis Modules

Most technical analysis of Multi Manager 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 Multi from various momentum indicators to cycle indicators. When you analyze Multi 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.

About Multi Manager 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 Multi Manager Inv. We use our internally-developed statistical techniques to arrive at the intrinsic value of Multi Manager Inv based on widely used predictive technical indicators. In general, we focus on analyzing Multi Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Multi Manager'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 Multi Manager's intrinsic value. In addition to deriving basic predictive indicators for Multi Manager, we also check how macroeconomic factors affect Multi Manager price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Multi Manager's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
146.46147.95149.44
Details
Intrinsic
Valuation
LowRealHigh
117.97119.46162.75
Details
Naive
Forecast
LowNextHigh
143.99145.47146.96
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
137.15143.83150.52
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Multi Manager. Your research has to be compared to or analyzed against Multi Manager's peers to derive any actionable benefits. When done correctly, Multi Manager's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Multi Manager Inv.

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 Diagnostics Now

   

Portfolio Diagnostics

Use generated alerts and portfolio events aggregator to diagnose current holdings
All  Next Launch Module

Multi Manager Inv 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 Multi Manager 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 Multi Manager will appreciate offsetting losses from the drop in the long position's value.

Multi Manager Pair Trading

Multi Manager Inv Pair Trading Analysis

The ability to find closely correlated positions to Multi Manager could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Multi Manager 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 Multi Manager - 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 Multi Manager Inv to buy it.
The correlation of Multi Manager 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 Multi Manager moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Multi Manager Inv 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 Multi Manager 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.
Pair CorrelationCorrelation Matching
Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in bureau of economic analysis.
You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.

Complementary Tools for Multi Stock analysis

When running Multi Manager's price analysis, check to measure Multi Manager'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 Multi Manager is operating at the current time. Most of Multi Manager's value examination focuses on studying past and present price action to predict the probability of Multi Manager's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Multi Manager's price. Additionally, you may evaluate how the addition of Multi Manager to your portfolios can decrease your overall portfolio volatility.
Idea Optimizer
Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Positions Ratings
Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance
Alpha Finder
Use alpha and beta coefficients to find investment opportunities after accounting for the risk
Funds Screener
Find actively-traded funds from around the world traded on over 30 global exchanges
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
Portfolio Dashboard
Portfolio dashboard that provides centralized access to all your investments
Please note, there is a significant difference between Multi Manager's value and its price as these two are different measures arrived at by different means. Investors typically determine if Multi Manager is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Multi Manager's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.