Jpmorgan Floating Rate Fund Technical Analysis
| JPHCX Fund | USD 8.49 0.04 0.47% |
As of the 27th of November, Jpmorgan Floating retains the Standard Deviation of 0.0953, market risk adjusted performance of 0.4363, and Risk Adjusted Performance of 0.1177. Jpmorgan Floating 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.
Jpmorgan Floating 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 Floating technical mutual 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.
Jpmorgan Floating Rate Technical Analysis
The output start index for this execution was four with a total number of output elements of fifty-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 Jpmorgan Floating Rate volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Jpmorgan Floating Rate Trend Analysis
Use this graph to draw trend lines for Jpmorgan Floating Rate. You can use it to identify possible trend reversals for Jpmorgan Floating 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 Floating price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Jpmorgan Floating Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Jpmorgan Floating Rate applied against its price change over selected period. The best fit line has a slop of 0 , which means Jpmorgan Floating Rate will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.22, which is the sum of squared deviations for the predicted Jpmorgan Floating price change compared to its average price change.About Jpmorgan Floating 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 Floating Rate 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 Floating Rate based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Jpmorgan Floating Rate price pattern first instead of the macroeconomic environment surrounding Jpmorgan Floating Rate. By analyzing Jpmorgan Floating'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 Floating'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 Floating specific price patterns or momentum indicators. Please read more on our technical analysis page.
Jpmorgan Floating November 27, 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 | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1177 | |||
| Market Risk Adjusted Performance | 0.4363 | |||
| Mean Deviation | 0.0612 | |||
| Coefficient Of Variation | 406.87 | |||
| Standard Deviation | 0.0953 | |||
| Variance | 0.0091 | |||
| Information Ratio | (1.12) | |||
| Jensen Alpha | 0.0096 | |||
| Total Risk Alpha | (0) | |||
| Treynor Ratio | 0.4263 | |||
| Maximum Drawdown | 0.3555 | |||
| Value At Risk | (0.12) | |||
| Potential Upside | 0.1195 | |||
| Skewness | (2.15) | |||
| Kurtosis | 10.7 |
Other Information on Investing in JPMORGAN Mutual Fund
Jpmorgan Floating financial ratios help investors to determine whether JPMORGAN Mutual 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 JPMORGAN with respect to the benefits of owning Jpmorgan Floating security.
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation |