Dynamic Opportunity Fund Market Value
| ICSIX Fund | USD 14.24 0.01 0.07% |
| Symbol | Dynamic |
Dynamic Us '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 Dynamic Us' 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 Dynamic Us.
| 11/13/2025 |
| 02/11/2026 |
If you would invest 0.00 in Dynamic Us on November 13, 2025 and sell it all today you would earn a total of 0.00 from holding Dynamic Opportunity Fund or generate 0.0% return on investment in Dynamic Us over 90 days. Dynamic Us is related to or competes with Dynamic Us, T Rowe, Saat Aggressive, Government Street, Saat Aggressive, Nuance Concentrated, and Electronics Fund. Under normal market conditions, the fund invests primarily in equity ETFs that offer exposure to domestic equity markets More
Dynamic Us 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 Dynamic Us' 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 Dynamic Opportunity Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7165 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 2.91 | |||
| Value At Risk | (1.03) | |||
| Potential Upside | 1.11 |
Dynamic Us Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dynamic Us' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dynamic Us' standard deviation. In reality, there are many statistical measures that can use Dynamic Us historical prices to predict the future Dynamic Us' volatility.| Risk Adjusted Performance | 0.0686 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0649 |
Dynamic Us February 11, 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 | 0.0686 | |||
| Market Risk Adjusted Performance | 0.0749 | |||
| Mean Deviation | 0.5315 | |||
| Semi Deviation | 0.646 | |||
| Downside Deviation | 0.7165 | |||
| Coefficient Of Variation | 1137.72 | |||
| Standard Deviation | 0.6804 | |||
| Variance | 0.463 | |||
| Information Ratio | (0.05) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0649 | |||
| Maximum Drawdown | 2.91 | |||
| Value At Risk | (1.03) | |||
| Potential Upside | 1.11 | |||
| Downside Variance | 0.5134 | |||
| Semi Variance | 0.4174 | |||
| Expected Short fall | (0.56) | |||
| Skewness | (0.28) | |||
| Kurtosis | 0.3042 |
Dynamic Opportunity Backtested Returns
At this stage we consider Dynamic Mutual Fund to be very steady. Dynamic Opportunity secures Sharpe Ratio (or Efficiency) of 0.12, which denotes the fund had a 0.12 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Dynamic Opportunity Fund, which you can use to evaluate the volatility of the entity. Please confirm Dynamic Us' Downside Deviation of 0.7165, coefficient of variation of 1137.72, and Mean Deviation of 0.5315 to check if the risk estimate we provide is consistent with the expected return of 0.0763%. The fund shows a Beta (market volatility) of 0.77, which means possible diversification benefits within a given portfolio. As returns on the market increase, Dynamic Us' returns are expected to increase less than the market. However, during the bear market, the loss of holding Dynamic Us is expected to be smaller as well.
Auto-correlation | 0.33 |
Below average predictability
Dynamic Opportunity Fund has below average predictability. Overlapping area represents the amount of predictability between Dynamic Us time series from 13th of November 2025 to 28th of December 2025 and 28th of December 2025 to 11th of February 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 Dynamic Opportunity price movement. The serial correlation of 0.33 indicates that nearly 33.0% of current Dynamic Us price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.33 | |
| Spearman Rank Test | 0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Dynamic Mutual Fund
Dynamic Us financial ratios help investors to determine whether Dynamic 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 Dynamic with respect to the benefits of owning Dynamic Us security.
| Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
| Crypto Correlations Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins | |
| Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets |