Dynamic Allocation Fund Technical Analysis
| VDAFX Fund | USD 11.42 0.01 0.09% |
As of the 17th of February 2026, Dynamic Allocation shows the Mean Deviation of 0.351, coefficient of variation of 6057.34, and Downside Deviation of 0.5361. In respect to fundamental indicators, the technical analysis model provides you with a way to check existing technical drivers of Dynamic Allocation, as well as the relationship between them.
Dynamic Allocation 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 Allocation '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 Allocation'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 Allocation.
| 11/19/2025 |
| 02/17/2026 |
If you would invest 0.00 in Dynamic Allocation on November 19, 2025 and sell it all today you would earn a total of 0.00 from holding Dynamic Allocation Fund or generate 0.0% return on investment in Dynamic Allocation over 90 days. Dynamic Allocation is related to or competes with Aam Select, Arrow Managed, Iaadx, and Abr 75/25. The fund seeks to achieve its objectives by investing under normal conditions approximately 70 percent to 90 percent of its assets in shares of the underlying funds, which are portfolios of VALIC Company I and 10 percent to 30 percent of its assets in a portfolio of derivative instruments, fixed income securities and short-term investments. More
Dynamic Allocation 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 Allocation'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 Allocation Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5361 | |||
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 2.2 | |||
| Value At Risk | (0.87) | |||
| Potential Upside | 0.6312 |
Dynamic Allocation Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dynamic Allocation's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dynamic Allocation's standard deviation. In reality, there are many statistical measures that can use Dynamic Allocation historical prices to predict the future Dynamic Allocation's volatility.| Risk Adjusted Performance | 0.0061 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.12) | |||
| Treynor Ratio | (0) |
Dynamic Allocation February 17, 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 | 0.0061 | |||
| Market Risk Adjusted Performance | 0.0051 | |||
| Mean Deviation | 0.351 | |||
| Semi Deviation | 0.4624 | |||
| Downside Deviation | 0.5361 | |||
| Coefficient Of Variation | 6057.34 | |||
| Standard Deviation | 0.4677 | |||
| Variance | 0.2187 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.12) | |||
| Treynor Ratio | (0) | |||
| Maximum Drawdown | 2.2 | |||
| Value At Risk | (0.87) | |||
| Potential Upside | 0.6312 | |||
| Downside Variance | 0.2874 | |||
| Semi Variance | 0.2138 | |||
| Expected Short fall | (0.39) | |||
| Skewness | (0.43) | |||
| Kurtosis | 0.574 |
Dynamic Allocation Backtested Returns
At this stage we consider Dynamic Mutual Fund to be very steady. Dynamic Allocation secures Sharpe Ratio (or Efficiency) of 0.0831, which denotes the fund had a 0.0831 % return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Dynamic Allocation Fund, which you can use to evaluate the volatility of the entity. Please confirm Dynamic Allocation's Mean Deviation of 0.351, downside deviation of 0.5361, and Coefficient Of Variation of 6057.34 to check if the risk estimate we provide is consistent with the expected return of 0.0379%. The fund shows a Beta (market volatility) of 0.46, which means possible diversification benefits within a given portfolio. As returns on the market increase, Dynamic Allocation's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dynamic Allocation is expected to be smaller as well.
Auto-correlation | -0.08 |
Very weak reverse predictability
Dynamic Allocation Fund has very weak reverse predictability. Overlapping area represents the amount of predictability between Dynamic Allocation time series from 19th of November 2025 to 3rd of January 2026 and 3rd of January 2026 to 17th 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 Allocation price movement. The serial correlation of -0.08 indicates that barely 8.0% of current Dynamic Allocation price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.08 | |
| Spearman Rank Test | -0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Dynamic Allocation 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 Allocation Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Dynamic Allocation volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Dynamic Allocation 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 Allocation 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 Allocation Fund based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Dynamic Allocation price pattern first instead of the macroeconomic environment surrounding Dynamic Allocation. By analyzing Dynamic Allocation'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 Allocation'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 Allocation specific price patterns or momentum indicators. Please read more on our technical analysis page.
Dynamic Allocation February 17, 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 | 0.0061 | |||
| Market Risk Adjusted Performance | 0.0051 | |||
| Mean Deviation | 0.351 | |||
| Semi Deviation | 0.4624 | |||
| Downside Deviation | 0.5361 | |||
| Coefficient Of Variation | 6057.34 | |||
| Standard Deviation | 0.4677 | |||
| Variance | 0.2187 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.12) | |||
| Treynor Ratio | (0) | |||
| Maximum Drawdown | 2.2 | |||
| Value At Risk | (0.87) | |||
| Potential Upside | 0.6312 | |||
| Downside Variance | 0.2874 | |||
| Semi Variance | 0.2138 | |||
| Expected Short fall | (0.39) | |||
| Skewness | (0.43) | |||
| Kurtosis | 0.574 |
Dynamic Allocation One Year Return
Based on the recorded statements, Dynamic Allocation Fund has an One Year Return of 8.4313%. This is 15.94% lower than that of the VALIC family and significantly higher than that of the Allocation--50% to 70% Equity category. The one year return for all United States funds is notably lower than that of the firm.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.Dynamic Allocation February 17, 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 | 11.42 | ||
| Day Typical Price | 11.42 | ||
| Price Action Indicator | 0.00 |
Other Information on Investing in Dynamic Mutual Fund
Dynamic Allocation 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 Allocation security.
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