Catalyst Dynamic Alpha Fund Technical Analysis
| CPEAX Fund | USD 21.45 -0.61 -2.77% |
As of the 10th of March, Catalyst Dynamic trades at 21.45 per share. Key technical indicators include Downside Deviation of 1.49, risk adjusted performance of 0.0821, and Mean Deviation of 1.29. The technical model evaluates historical price movement, trading volume, and volatility patterns to quantify trend strength. Current values are evaluated relative to sector peers and historical ranges.
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
Running a what-if backtest on Catalyst Dynamic Alpha gives investors a practical way to test how changes in horizon, position size, or market timing might have affected the result. Used properly, this review helps investors decide whether Catalyst Dynamic's historical reward profile was stable enough to support the current thesis.
| 12/10/2025 |
| 03/10/2026 |
If you invested 0.00 in Catalyst Dynamic on December 10, 2025 and closed the position today, you would earn 0.00 in total gains. That corresponds to a 0.0% return on investment in Catalyst Dynamic overall over 90 days.. Catalyst Dynamic is related to or competes with Riskproreg Tactical, Sentinel International, Royce International, Bogle Small, Cambiar International, Delaware Investments, and Tortoise Capital. Peer context helps frame relative positioning. The fund seeks to achieve its investment objective by investing primarily in common stocks of U.S More
Catalyst Dynamic Upside and Downside Indicators Overview
Upside and downside indicators for Catalyst Dynamic summarize momentum balance and potential range context for the fund. They compare current price to recent trend and sentiment readings.
| Downside Deviation | 1.49 | |||
| Information Ratio | 0.0921 | |||
| Maximum Drawdown | 21.23 | |||
| Value At Risk | -2.59 | |||
| Potential Upside | 1.91 |
Catalyst Dynamic Market Risk Indicators Overview
Market risk indicators summarize volatility and return dispersion for Catalyst Dynamic. The metrics rely on historical prices to describe variability over time.| Risk Adjusted Performance | 0.0821 | |||
| Jensen Alpha | 0.2373 | |||
| Total Risk Alpha | 0.232 | |||
| Sortino Ratio | 0.1582 | |||
| Treynor Ratio | -0.66 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Catalyst Dynamic's price to converge to an average value over time is called mean reversion.
Catalyst Dynamic 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 | 0.0821 | |||
| Market Risk Adjusted Performance | -0.65 | |||
| Mean Deviation | 1.29 | |||
| Semi Deviation | 1.24 | |||
| Downside Deviation | 1.49 | |||
| Coefficient Of Variation | 1034.92 | |||
| Standard Deviation | 2.55 | |||
| Variance | 6.52 | |||
| Information Ratio | 0.0921 | |||
| Jensen Alpha | 0.2373 | |||
| Total Risk Alpha | 0.232 | |||
| Sortino Ratio | 0.1582 | |||
| Treynor Ratio | -0.66 | |||
| Maximum Drawdown | 21.23 | |||
| Value At Risk | -2.59 | |||
| Potential Upside | 1.91 | |||
| Downside Variance | 2.21 | |||
| Semi Variance | 1.53 | |||
| Expected Short fall | -1.44 | |||
| Skewness | 4.99 | |||
| Kurtosis | 34.5 |
Catalyst Dynamic Alpha Backtested Returns
Catalyst Dynamic appears to exhibit a low volatility profile over the selected 3 months investment horizon. It exhibits a Sharpe Ratio (Efficiency) of 0.0787, indicating risk-adjusted returns over the last 3 months. Technical screening detected twenty-seven indicators influencing risk dynamics. Please review metrics such as Downside Deviation of 1.49, risk-adjusted performance of 0.0821, and mean deviation of 1.29 to confirm whether our risk estimates align with your expectations. The fund has a beta of -0.36, which means possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Catalyst Dynamic are expected to decrease at a much lower rate. During the bear market, Catalyst Dynamic is likely to outperform the market.
Auto-correlation | -0.32 |
Poor reverse predictability
Catalyst Dynamic Alpha exhibits poor reverse predictability. Autocorrelation measures the degree of predictability between Catalyst Dynamic time series from 10th of December 2025 to 24th of January 2026 and from 24th of January 2026 to 10th of March 2026. The stronger the relationship between the current interval and its lagged values, the more accurately future price behavior of Catalyst Dynamic Alpha may be projected. A serial correlation of -0.32 indicates that nearly 32.0% of current Catalyst Dynamic price fluctuations can be explained by its historical price movements. Given that Catalyst Dynamic Alpha has negative autocorrelation for the selected time horizon, market participants may evaluate potential contrarian price behavior over comparable future intervals.
| Correlation Coefficient | -0.32 | |
| Spearman Rank Test | -0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 0.3 |
Catalyst Dynamic technical mutual fund analysis uses price and volume transformations to study behavior. Typical tools include moving averages, relative strength index, regressions, and price correlations.
Catalyst Dynamic Alpha Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Catalyst Dynamic Alpha across different markets.
Catalyst Dynamic Technical Analysis Overview
Technical analysis of Catalyst Dynamic focuses on NAV trend behavior and volatility patterns where pricing frequency permits. Trend persistence provides context for directional stability. Defensive traits reduce macro sensitivity. We assess how Catalyst Dynamic aligns with strategic allocation principles over extended horizons.
Methodology
Unless otherwise specified, data for Catalyst Dynamic Alpha is derived from fund disclosures (prospectus language, holdings reports, and periodic statements where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on instrument type. Catalyst (USA Stocks:CPEAX) market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions Technical and fundamental diagnostic scores are rule-based values computed from historical price and fundamental inputs.
Assumptions
Inputs are aggregated from public fund disclosures, holdings reports, and market data feeds and public institutions such as U.S. Securities and Exchange Commission (SEC) via EDGAR. Certain values may not reflect real-time changes. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.Research Sources
Catalyst Dynamic Alpha may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.
Catalyst Dynamic Technical Indicators
A technical review of Catalyst Dynamic Alpha can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0821 | |||
| Market Risk Adjusted Performance | -0.65 | |||
| Mean Deviation | 1.29 | |||
| Semi Deviation | 1.24 | |||
| Downside Deviation | 1.49 | |||
| Coefficient Of Variation | 1034.92 | |||
| Standard Deviation | 2.55 | |||
| Variance | 6.52 | |||
| Information Ratio | 0.0921 | |||
| Jensen Alpha | 0.2373 | |||
| Total Risk Alpha | 0.232 | |||
| Sortino Ratio | 0.1582 | |||
| Treynor Ratio | -0.66 | |||
| Maximum Drawdown | 21.23 | |||
| Value At Risk | -2.59 | |||
| Potential Upside | 1.91 | |||
| Downside Variance | 2.21 | |||
| Semi Variance | 1.53 | |||
| Expected Short fall | -1.44 | |||
| Skewness | 4.99 | |||
| Kurtosis | 34.5 |
Catalyst Dynamic March 10, 2026 Daily Trend Indicators
A technical review of Catalyst Dynamic Alpha can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | -Huge | ||
| Rate Of Daily Change | 0.97 | ||
| Day Median Price | 21.45 | ||
| Day Typical Price | 21.45 | ||
| Price Action Indicator | -0.30 |
Additional Resources for Catalyst Mutual Fund Analysis
Other Information on Investing in Catalyst Mutual Fund
Catalyst Dynamic financial ratios help frame valuation context across profits, cash flow, and enterprise value. They help compare Catalyst to other measures in a consistent way.
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