Catalyst Dynamic Alpha Fund Technical Analysis
| CPECX Fund | USD 22.46 0.24 1.08% |
As of the 23rd of November, Catalyst Dynamic shows the Mean Deviation of 0.7444, risk adjusted performance of 0.1066, and Downside Deviation of 1.11. Catalyst Dynamic Alpha 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.
Catalyst Dynamic Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Catalyst, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CatalystCatalyst |
Catalyst Dynamic 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.
Catalyst Dynamic Alpha Technical Analysis
The output start index for this execution was three with a total number of output elements of fifty-eight. 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 Catalyst Dynamic Alpha volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Catalyst Dynamic Alpha Trend Analysis
Use this graph to draw trend lines for Catalyst Dynamic Alpha. You can use it to identify possible trend reversals for Catalyst Dynamic 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 Catalyst Dynamic price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Catalyst Dynamic Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Catalyst Dynamic Alpha applied against its price change over selected period. The best fit line has a slop of 0.03 , which means Catalyst Dynamic Alpha will continue generating value for investors. It has 122 observation points and a regression sum of squares at 39.28, which is the sum of squared deviations for the predicted Catalyst Dynamic price change compared to its average price change.About Catalyst Dynamic 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 Catalyst Dynamic Alpha 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 Catalyst Dynamic Alpha based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Catalyst Dynamic Alpha price pattern first instead of the macroeconomic environment surrounding Catalyst Dynamic Alpha. By analyzing Catalyst Dynamic'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 Catalyst Dynamic'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 Catalyst Dynamic specific price patterns or momentum indicators. Please read more on our technical analysis page.
Catalyst Dynamic November 23, 2024 Technical Indicators
Most technical analysis of Catalyst 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 Catalyst from various momentum indicators to cycle indicators. When you analyze Catalyst 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 | 0.1066 | |||
| Market Risk Adjusted Performance | 0.1301 | |||
| Mean Deviation | 0.7444 | |||
| Semi Deviation | 0.9176 | |||
| Downside Deviation | 1.11 | |||
| Coefficient Of Variation | 734.95 | |||
| Standard Deviation | 0.9936 | |||
| Variance | 0.9873 | |||
| Information Ratio | 0.0044 | |||
| Jensen Alpha | (0.0007) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | 0.004 | |||
| Treynor Ratio | 0.1201 | |||
| Maximum Drawdown | 4.69 | |||
| Value At Risk | (1.42) | |||
| Potential Upside | 1.69 | |||
| Downside Variance | 1.23 | |||
| Semi Variance | 0.842 | |||
| Expected Short fall | (0.78) | |||
| Skewness | (0.54) | |||
| Kurtosis | 1.39 |
Other Information on Investing in Catalyst Mutual Fund
Catalyst Dynamic financial ratios help investors to determine whether Catalyst 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 Catalyst with respect to the benefits of owning Catalyst Dynamic security.
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