James Alpha Structured Fund Technical Analysis
| JASSX Fund | USD 10.13 0.01 0.1% |
As of the 2nd of December, James Alpha retains the Risk Adjusted Performance of 0.1104, market risk adjusted performance of (0.29), and Coefficient Of Variation of 465.54. James Alpha 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.
James Alpha Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as James, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to JamesJames |
James Alpha 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.
James Alpha Structured Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 James Alpha Structured volatility. High ATR values indicate high volatility, and low values indicate low volatility.
James Alpha Structured Trend Analysis
Use this graph to draw trend lines for James Alpha Structured. You can use it to identify possible trend reversals for James Alpha 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 James Alpha price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.James Alpha Best Fit Change Line
The following chart estimates an ordinary least squares regression model for James Alpha Structured applied against its price change over selected period. The best fit line has a slop of 0 , which means James Alpha Structured will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.06, which is the sum of squared deviations for the predicted James Alpha price change compared to its average price change.About James Alpha 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 James Alpha Structured 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 James Alpha Structured based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on James Alpha Structured price pattern first instead of the macroeconomic environment surrounding James Alpha Structured. By analyzing James Alpha'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 James Alpha'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 James Alpha specific price patterns or momentum indicators. Please read more on our technical analysis page.
James Alpha December 2, 2024 Technical Indicators
Most technical analysis of James 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 James from various momentum indicators to cycle indicators. When you analyze James 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 | 0.1104 | |||
| Market Risk Adjusted Performance | (0.29) | |||
| Mean Deviation | 0.0935 | |||
| Downside Deviation | 0.1223 | |||
| Coefficient Of Variation | 465.54 | |||
| Standard Deviation | 0.1197 | |||
| Variance | 0.0143 | |||
| Information Ratio | (0.93) | |||
| Jensen Alpha | 0.0224 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0.92) | |||
| Treynor Ratio | (0.30) | |||
| Maximum Drawdown | 0.693 | |||
| Value At Risk | (0.1) | |||
| Potential Upside | 0.1998 | |||
| Downside Variance | 0.0149 | |||
| Semi Variance | (0.02) | |||
| Expected Short fall | (0.16) | |||
| Skewness | 0.5229 | |||
| Kurtosis | 0.7938 |
Other Information on Investing in James Mutual Fund
James Alpha financial ratios help investors to determine whether James 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 James with respect to the benefits of owning James Alpha security.
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