ALM Offensif (Germany) Analysis
0P00000GIZ | EUR 319.58 1.66 0.52% |
ALM Offensif is undervalued with Real Value of 345.75 and Hype Value of 319.58. The main objective of ALM Offensif fund analysis is to determine its intrinsic value, which is an estimate of what ALM Offensif is worth, separate from its market price. There are two main types of ALM Fund analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic stability of ALM Offensif. On the other hand, technical analysis, focuses on the price and volume data of ALM Fund to identify patterns and trends that may indicate its future price movements.
The ALM Offensif fund is traded in Germany on Frankfurt Exchange, with the market opening at 08:00:00 and closing at 22:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Germany. Here, you can get updates on important government artifacts, including earning estimates, SEC corporate filings, announcements, and ALM Offensif's ongoing operational relationships across important fundamental and technical indicators.
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ALM Offensif Investment Alerts
Many investors view ongoing market volatility as an opportunity to purchase more funds at a favorable price or short it to generate a bearish trend profit opportunity. If you are one of those investors, make sure you clearly understand the position you are entering. ALM Offensif's investment alerts are automatically generated signals that are significant enough to either complement your investing judgment regarding ALM Offensif or challenge it. These alerts can help you understand what you are buying and avoid costly mistakes.
The fund holds about 8.66% of its total net assets in cash |
Technical Drivers
As of the 5th of December, ALM Offensif shows the Risk Adjusted Performance of 0.0797, mean deviation of 0.3724, and Semi Deviation of 0.3674. ALM Offensif technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the entity's future prices.ALM Offensif Price Movement Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. ALM Offensif middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for ALM Offensif. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
ALM Offensif Predictive Daily Indicators
ALM Offensif intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of ALM Offensif fund daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
Daily Balance Of Power | (9,223,372,036,855) | |||
Rate Of Daily Change | 0.99 | |||
Day Median Price | 319.58 | |||
Day Typical Price | 319.58 | |||
Price Action Indicator | (0.83) | |||
Period Momentum Indicator | (1.66) |
ALM Offensif Forecast Models
ALM Offensif's time-series forecasting models are one of many ALM Offensif's fund analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary ALM Offensif's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.About ALM Fund Analysis
Fund analysis is the technique used by a trader or investor to examine and evaluate how ALM Offensif prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling ALM shares will generate the highest return on investment. We also built our fund analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Fund such as ALM Offensif. By using and applying ALM Fund analysis, traders can create a robust methodology for identifying ALM entry and exit points for their positions.
Le fonds a pour objectif de raliser sur la dure de placement recommande une performance gale celle de lindice composite suivant calcul coupons et dividendes rinvestis 54 percent MSCI WORLD 26 percent CAC 40 15 percent BARCLAYS CAPITAL EURO AGGREGATE BOND 5 percent EONIA CAPITALISE JOUR. ALM Offensif is traded on Frankfurt Stock Exchange in Germany.
Be your own money manager
As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our fund analysis tools, you can find out how much better you can do when adding ALM Offensif to your portfolios without increasing risk or reducing expected return.Did you try this?
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Other Information on Investing in ALM Fund
ALM Offensif financial ratios help investors to determine whether ALM Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in ALM with respect to the benefits of owning ALM Offensif security.
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