Catalyst Dynamic Alpha Fund Technical Analysis
| CPEIX Fund | USD 23.66 0.03 0.13% |
As of the 25th of January, Catalyst Dynamic shows the Risk Adjusted Performance of 0.0309, downside deviation of 1.45, and Mean Deviation of 0.982. 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 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Catalyst Dynamic's mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Catalyst Dynamic.
| 10/27/2025 |
| 01/25/2026 |
If you would invest 0.00 in Catalyst Dynamic on October 27, 2025 and sell it all today you would earn a total of 0.00 from holding Catalyst Dynamic Alpha or generate 0.0% return on investment in Catalyst Dynamic over 90 days. Catalyst Dynamic is related to or competes with The Tocqueville, Total Return, Eaton Vance, Sentinel International, Sentinel International, Asia Opportunity, and Royce International. The fund seeks to achieve its investment objective by investing primarily in common stocks of U.S More
Catalyst Dynamic Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Catalyst Dynamic's mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Catalyst Dynamic Alpha upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.45 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 5.62 | |||
| Value At Risk | (2.59) | |||
| Potential Upside | 1.73 |
Catalyst Dynamic Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Catalyst Dynamic's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Catalyst Dynamic's standard deviation. In reality, there are many statistical measures that can use Catalyst Dynamic historical prices to predict the future Catalyst Dynamic's volatility.| Risk Adjusted Performance | 0.0309 | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0315 |
Catalyst Dynamic January 25, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0309 | |||
| Market Risk Adjusted Performance | 0.0415 | |||
| Mean Deviation | 0.982 | |||
| Semi Deviation | 1.34 | |||
| Downside Deviation | 1.45 | |||
| Coefficient Of Variation | 2751.64 | |||
| Standard Deviation | 1.27 | |||
| Variance | 1.62 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0315 | |||
| Maximum Drawdown | 5.62 | |||
| Value At Risk | (2.59) | |||
| Potential Upside | 1.73 | |||
| Downside Variance | 2.11 | |||
| Semi Variance | 1.79 | |||
| Expected Short fall | (1.03) | |||
| Skewness | (0.59) | |||
| Kurtosis | 0.273 |
Catalyst Dynamic Alpha Backtested Returns
At this stage we consider Catalyst Mutual Fund to be very steady. Catalyst Dynamic Alpha secures Sharpe Ratio (or Efficiency) of close to zero, which signifies that the fund had a close to zero % return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Catalyst Dynamic Alpha, which you can use to evaluate the volatility of the entity. Please confirm Catalyst Dynamic's Risk Adjusted Performance of 0.0309, downside deviation of 1.45, and Mean Deviation of 0.982 to double-check if the risk estimate we provide is consistent with the expected return of 0.0058%. The fund shows a Beta (market volatility) of 1.15, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Catalyst Dynamic will likely underperform.
Auto-correlation | -0.18 |
Insignificant reverse predictability
Catalyst Dynamic Alpha has insignificant reverse predictability. Overlapping area represents the amount of predictability between Catalyst Dynamic time series from 27th of October 2025 to 11th of December 2025 and 11th of December 2025 to 25th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Catalyst Dynamic Alpha price movement. The serial correlation of -0.18 indicates that over 18.0% of current Catalyst Dynamic price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.18 | |
| Spearman Rank Test | -0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 0.18 |
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 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 Catalyst Dynamic Alpha volatility. High ATR values indicate high volatility, and low values indicate low volatility.
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 January 25, 2026 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 | 0.0309 | |||
| Market Risk Adjusted Performance | 0.0415 | |||
| Mean Deviation | 0.982 | |||
| Semi Deviation | 1.34 | |||
| Downside Deviation | 1.45 | |||
| Coefficient Of Variation | 2751.64 | |||
| Standard Deviation | 1.27 | |||
| Variance | 1.62 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0315 | |||
| Maximum Drawdown | 5.62 | |||
| Value At Risk | (2.59) | |||
| Potential Upside | 1.73 | |||
| Downside Variance | 2.11 | |||
| Semi Variance | 1.79 | |||
| Expected Short fall | (1.03) | |||
| Skewness | (0.59) | |||
| Kurtosis | 0.273 |
Catalyst Dynamic January 25, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Catalyst stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | (Huge) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 23.66 | ||
| Day Typical Price | 23.66 | ||
| Price Action Indicator | (0.02) |
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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