Dynamic Opportunity Fund Technical Analysis
| ICSIX Fund | USD 14.16 0.07 0.50% |
As of the 30th of January, Dynamic Opportunity shows the Downside Deviation of 0.7257, mean deviation of 0.5276, and Coefficient Of Variation of 1739.15. Dynamic Opportunity technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity's future prices.
Dynamic Opportunity Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Dynamic, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DynamicDynamic |
Dynamic Opportunity '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 Opportunity'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 Dynamic Opportunity.
| 11/01/2025 |
| 01/30/2026 |
If you would invest 0.00 in Dynamic Opportunity on November 1, 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 Opportunity over 90 days. Dynamic Opportunity is related to or competes with Dynamic Opportunity, 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 Opportunity 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 Opportunity'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 Dynamic Opportunity Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7257 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 2.91 | |||
| Value At Risk | (1.03) | |||
| Potential Upside | 1.1 |
Dynamic Opportunity Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dynamic Opportunity's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dynamic Opportunity's standard deviation. In reality, there are many statistical measures that can use Dynamic Opportunity historical prices to predict the future Dynamic Opportunity's volatility.| Risk Adjusted Performance | 0.0407 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0347 |
Dynamic Opportunity January 30, 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 | 0.0407 | |||
| Market Risk Adjusted Performance | 0.0447 | |||
| Mean Deviation | 0.5276 | |||
| Semi Deviation | 0.6726 | |||
| Downside Deviation | 0.7257 | |||
| Coefficient Of Variation | 1739.15 | |||
| Standard Deviation | 0.6587 | |||
| Variance | 0.4339 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0347 | |||
| Maximum Drawdown | 2.91 | |||
| Value At Risk | (1.03) | |||
| Potential Upside | 1.1 | |||
| Downside Variance | 0.5266 | |||
| Semi Variance | 0.4523 | |||
| Expected Short fall | (0.54) | |||
| Skewness | (0.48) | |||
| Kurtosis | (0.03) |
Dynamic Opportunity Backtested Returns
At this stage we consider Dynamic Mutual Fund to be very steady. Dynamic Opportunity secures Sharpe Ratio (or Efficiency) of 0.0751, which denotes the fund had a 0.0751 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Dynamic Opportunity Fund, which you can use to evaluate the volatility of the entity. Please confirm Dynamic Opportunity's Mean Deviation of 0.5276, downside deviation of 0.7257, and Coefficient Of Variation of 1739.15 to check if the risk estimate we provide is consistent with the expected return of 0.05%. The fund shows a Beta (market volatility) of 0.8, which means possible diversification benefits within a given portfolio. As returns on the market increase, Dynamic Opportunity's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dynamic Opportunity is expected to be smaller as well.
Auto-correlation | 0.14 |
Insignificant predictability
Dynamic Opportunity Fund has insignificant predictability. Overlapping area represents the amount of predictability between Dynamic Opportunity time series from 1st of November 2025 to 16th of December 2025 and 16th of December 2025 to 30th 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 Dynamic Opportunity price movement. The serial correlation of 0.14 indicates that less than 14.0% of current Dynamic Opportunity price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.14 | |
| Spearman Rank Test | 0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Dynamic Opportunity 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.
Dynamic Opportunity Technical Analysis
Indicator |
The output start index for this execution was one with a total number of output elements of sixty. The True Range is a measure of Dynamic Opportunity volatility developed by Welles Wilder.
About Dynamic Opportunity 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 Dynamic Opportunity Fund 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 Dynamic Opportunity Fund based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Dynamic Opportunity price pattern first instead of the macroeconomic environment surrounding Dynamic Opportunity. By analyzing Dynamic Opportunity'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 Dynamic Opportunity'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 Dynamic Opportunity specific price patterns or momentum indicators. Please read more on our technical analysis page.
Dynamic Opportunity January 30, 2026 Technical Indicators
Most technical analysis of Dynamic 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 Dynamic from various momentum indicators to cycle indicators. When you analyze Dynamic 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 | 0.0407 | |||
| Market Risk Adjusted Performance | 0.0447 | |||
| Mean Deviation | 0.5276 | |||
| Semi Deviation | 0.6726 | |||
| Downside Deviation | 0.7257 | |||
| Coefficient Of Variation | 1739.15 | |||
| Standard Deviation | 0.6587 | |||
| Variance | 0.4339 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0347 | |||
| Maximum Drawdown | 2.91 | |||
| Value At Risk | (1.03) | |||
| Potential Upside | 1.1 | |||
| Downside Variance | 0.5266 | |||
| Semi Variance | 0.4523 | |||
| Expected Short fall | (0.54) | |||
| Skewness | (0.48) | |||
| Kurtosis | (0.03) |
Dynamic Opportunity January 30, 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 Dynamic 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 | 14.16 | ||
| Day Typical Price | 14.16 | ||
| Price Action Indicator | 0.04 |
Other Information on Investing in Dynamic Mutual Fund
Dynamic Opportunity 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 Opportunity security.
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