JPMorgan ETFs (Germany) Technical Analysis
| JPCE Etf | 37.16 0.32 0.87% |
JPMorgan ETFs Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as JPMorgan, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to JPMorganJPMorgan |
JPMorgan ETFs technical etf 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, etf market cycles, or different charting patterns.
JPMorgan ETFs ICAV Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 JPMorgan ETFs ICAV volatility. High ATR values indicate high volatility, and low values indicate low volatility.
JPMorgan ETFs ICAV Trend Analysis
Use this graph to draw trend lines for JPMorgan ETFs ICAV. You can use it to identify possible trend reversals for JPMorgan ETFs 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 JPMorgan ETFs price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.JPMorgan ETFs Best Fit Change Line
The following chart estimates an ordinary least squares regression model for JPMorgan ETFs ICAV applied against its price change over selected period. The best fit line has a slop of 0.03 , which means JPMorgan ETFs ICAV will continue generating value for investors. It has 122 observation points and a regression sum of squares at 26.88, which is the sum of squared deviations for the predicted JPMorgan ETFs price change compared to its average price change.JPMorgan ETFs December 29, 2024 Technical Indicators
Most technical analysis of JPMorgan 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 JPMorgan from various momentum indicators to cycle indicators. When you analyze JPMorgan 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 | 0.068 | |||
| Market Risk Adjusted Performance | 0.8 | |||
| Mean Deviation | 0.4241 | |||
| Semi Deviation | 0.6299 | |||
| Downside Deviation | 0.723 | |||
| Coefficient Of Variation | 1122.53 | |||
| Standard Deviation | 0.6124 | |||
| Variance | 0.3751 | |||
| Information Ratio | 0.0365 | |||
| Jensen Alpha | 0.0433 | |||
| Total Risk Alpha | 0.0275 | |||
| Sortino Ratio | 0.0309 | |||
| Treynor Ratio | 0.79 | |||
| Maximum Drawdown | 4.01 | |||
| Value At Risk | (0.63) | |||
| Potential Upside | 0.8686 | |||
| Downside Variance | 0.5227 | |||
| Semi Variance | 0.3967 | |||
| Expected Short fall | (0.43) | |||
| Skewness | (1.13) | |||
| Kurtosis | 4.15 |