Alpscorecommodity Management Pletecommoditiessm Fund Technical Analysis
JCRAX Fund | USD 7.38 0.01 0.14% |
As of the 21st of January, Alpscorecommodity shows the Risk Adjusted Performance of 0.0569, downside deviation of 0.7741, and Mean Deviation of 0.5615. Alpscorecommodity technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the entity's future prices.
Alpscorecommodity Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Alpscorecommodity, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AlpscorecommodityAlpscorecommodity |
Alpscorecommodity 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.
Alpscorecommodity Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 Alpscorecommodity volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Alpscorecommodity Trend Analysis
Use this graph to draw trend lines for Alpscorecommodity Management Pletecommoditiessm. You can use it to identify possible trend reversals for Alpscorecommodity 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 Alpscorecommodity price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Alpscorecommodity Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Alpscorecommodity Management Pletecommoditiessm applied against its price change over selected period. The best fit line has a slop of 0.0008 , which means Alpscorecommodity Management Pletecommoditiessm will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.02, which is the sum of squared deviations for the predicted Alpscorecommodity price change compared to its average price change.About Alpscorecommodity 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 Alpscorecommodity Management Pletecommoditiessm 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 Alpscorecommodity Management Pletecommoditiessm based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Alpscorecommodity price pattern first instead of the macroeconomic environment surrounding Alpscorecommodity. By analyzing Alpscorecommodity'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 Alpscorecommodity'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 Alpscorecommodity specific price patterns or momentum indicators. Please read more on our technical analysis page.
Alpscorecommodity January 21, 2025 Technical Indicators
Most technical analysis of Alpscorecommodity 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 Alpscorecommodity from various momentum indicators to cycle indicators. When you analyze Alpscorecommodity 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 | 0.0569 | |||
Market Risk Adjusted Performance | 0.6 | |||
Mean Deviation | 0.5615 | |||
Semi Deviation | 0.6535 | |||
Downside Deviation | 0.7741 | |||
Coefficient Of Variation | 1430.63 | |||
Standard Deviation | 0.7255 | |||
Variance | 0.5263 | |||
Information Ratio | 0.029 | |||
Jensen Alpha | 0.0394 | |||
Total Risk Alpha | 0.0236 | |||
Sortino Ratio | 0.0271 | |||
Treynor Ratio | 0.59 | |||
Maximum Drawdown | 3.08 | |||
Value At Risk | (1.28) | |||
Potential Upside | 1.23 | |||
Downside Variance | 0.5992 | |||
Semi Variance | 0.427 | |||
Expected Short fall | (0.63) | |||
Skewness | (0.12) | |||
Kurtosis | 0.0188 |
Other Information on Investing in Alpscorecommodity Mutual Fund
Alpscorecommodity financial ratios help investors to determine whether Alpscorecommodity 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 Alpscorecommodity with respect to the benefits of owning Alpscorecommodity security.
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