CM AM (Germany) Technical Analysis
| 0P0001F96C | 106.04 0.01 0.01% |
CM AM Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as 0P0001F96C, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to 0P0001F96C0P0001F96C |
CM AM 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.
CM AM Monplus Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 CM AM Monplus volatility. High ATR values indicate high volatility, and low values indicate low volatility.
CM AM Monplus Trend Analysis
Use this graph to draw trend lines for CM AM Monplus NE. You can use it to identify possible trend reversals for CM AM 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 CM AM price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.CM AM Best Fit Change Line
The following chart estimates an ordinary least squares regression model for CM AM Monplus NE applied against its price change over selected period. The best fit line has a slop of 0.01 , which means CM AM Monplus NE will continue generating value for investors. It has 122 observation points and a regression sum of squares at 7.53, which is the sum of squared deviations for the predicted CM AM price change compared to its average price change.CM AM November 27, 2024 Technical Indicators
Most technical analysis of 0P0001F96C 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 0P0001F96C from various momentum indicators to cycle indicators. When you analyze 0P0001F96C 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 | 0.3012 | |||
| Mean Deviation | 0.0069 | |||
| Coefficient Of Variation | 65.85 | |||
| Standard Deviation | 0.0088 | |||
| Variance | 1.0E-4 | |||
| Information Ratio | (13.32) | |||
| Total Risk Alpha | 0.002 | |||
| Maximum Drawdown | 0.0379 | |||
| Potential Upside | 0.0285 | |||
| Skewness | 1.35 | |||
| Kurtosis | 0.8127 |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities |