ALM Offensif (Germany) Technical Analysis
| 0P00000GIZ | EUR 321.68 2.16 0.68% |
As of the 22nd of December, ALM Offensif shows the Risk Adjusted Performance of 0.1218, semi deviation of 0.2203, and Mean Deviation of 0.3386. 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 Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as ALM, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ALMALM |
ALM Offensif technical fund 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, fund market cycles, or different charting patterns.
ALM Offensif Technical Analysis
The output start index for this execution was twenty with a total number of output elements of fourty-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 ALM Offensif volatility. High ATR values indicate high volatility, and low values indicate low volatility.
ALM Offensif Trend Analysis
Use this graph to draw trend lines for ALM Offensif. You can use it to identify possible trend reversals for ALM Offensif 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 ALM Offensif price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.ALM Offensif Best Fit Change Line
The following chart estimates an ordinary least squares regression model for ALM Offensif applied against its price change over selected period. The best fit line has a slop of 0.23 , which means ALM Offensif will continue generating value for investors. It has 122 observation points and a regression sum of squares at 1943.52, which is the sum of squared deviations for the predicted ALM Offensif price change compared to its average price change.About ALM Offensif 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 ALM Offensif 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 ALM Offensif based on its technical analysis. In general, a bottom-up approach, as applied to this fund, focuses on ALM Offensif price pattern first instead of the macroeconomic environment surrounding ALM Offensif. By analyzing ALM Offensif'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 ALM Offensif'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 ALM Offensif specific price patterns or momentum indicators. Please read more on our technical analysis page.
ALM Offensif December 22, 2024 Technical Indicators
Most technical analysis of ALM 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 ALM from various momentum indicators to cycle indicators. When you analyze ALM 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 | 0.1218 | |||
| Market Risk Adjusted Performance | 0.8276 | |||
| Mean Deviation | 0.3386 | |||
| Semi Deviation | 0.2203 | |||
| Downside Deviation | 0.4064 | |||
| Coefficient Of Variation | 613.38 | |||
| Standard Deviation | 0.4575 | |||
| Variance | 0.2093 | |||
| Information Ratio | 0.0927 | |||
| Jensen Alpha | 0.0628 | |||
| Total Risk Alpha | 0.0518 | |||
| Sortino Ratio | 0.1044 | |||
| Treynor Ratio | 0.8176 | |||
| Maximum Drawdown | 2.4 | |||
| Value At Risk | (0.64) | |||
| Potential Upside | 0.8564 | |||
| Downside Variance | 0.1652 | |||
| Semi Variance | 0.0485 | |||
| Expected Short fall | (0.41) | |||
| Skewness | 0.4397 | |||
| Kurtosis | 1.67 |
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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