JPMorgan ETFs (Germany) Technical Analysis
| JA13 Etf | EUR 104.84 0.02 0.02% |
As of the 25th of November, JPMorgan ETFs retains the risk adjusted performance of 0.1688, and Market Risk Adjusted Performance of (1.22). JPMorgan ETFs technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the entity's future prices. Please check out JPMorgan ETFs ICAV jensen alpha, maximum drawdown, and the relationship between the information ratio and treynor ratio to decide if JPMorgan ETFs is priced correctly, providing market reflects its last-minute price of 104.84 per share.
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 twelve with a total number of output elements of fourty-nine. 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 0.08 , which means JPMorgan ETFs ICAV will continue generating value for investors. It has 122 observation points and a regression sum of squares at 269.45, which is the sum of squared deviations for the predicted JPMorgan ETFs price change compared to its average price change.About JPMorgan ETFs 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 JPMorgan ETFs ICAV 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 JPMorgan ETFs ICAV based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on JPMorgan ETFs ICAV price pattern first instead of the macroeconomic environment surrounding JPMorgan ETFs ICAV. By analyzing JPMorgan ETFs'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 JPMorgan ETFs'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 JPMorgan ETFs specific price patterns or momentum indicators. Please read more on our technical analysis page.
JPMorgan ETFs November 25, 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 | 0.1688 | |||
| Market Risk Adjusted Performance | (1.22) | |||
| Mean Deviation | 0.2657 | |||
| Downside Deviation | 0.2766 | |||
| Coefficient Of Variation | 425.68 | |||
| Standard Deviation | 0.3595 | |||
| Variance | 0.1292 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | 0.0818 | |||
| Total Risk Alpha | 0.0178 | |||
| Sortino Ratio | (0.17) | |||
| Treynor Ratio | (1.23) | |||
| Maximum Drawdown | 1.86 | |||
| Value At Risk | (0.46) | |||
| Potential Upside | 0.6179 | |||
| Downside Variance | 0.0765 | |||
| Semi Variance | (0.03) | |||
| Expected Short fall | (0.34) | |||
| Skewness | 1.23 | |||
| Kurtosis | 3.96 |
Other Information on Investing in JPMorgan Etf
JPMorgan ETFs financial ratios help investors to determine whether JPMorgan Etf 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 JPMorgan with respect to the benefits of owning JPMorgan ETFs security.