Dimensional 2070 Target Fund Technical Analysis
| DFARX Fund | 12.16 0.03 0.25% |
Dimensional 2070 Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Dimensional, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DimensionalDimensional |
Dimensional 2070 '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 Dimensional 2070'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 Dimensional 2070.
| 11/06/2025 |
| 02/04/2026 |
If you would invest 0.00 in Dimensional 2070 on November 6, 2025 and sell it all today you would earn a total of 0.00 from holding Dimensional 2070 Target or generate 0.0% return on investment in Dimensional 2070 over 90 days.
Dimensional 2070 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 Dimensional 2070'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 Dimensional 2070 Target upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7654 | |||
| Information Ratio | 0.0139 | |||
| Maximum Drawdown | 2.88 | |||
| Value At Risk | (1.12) | |||
| Potential Upside | 0.9813 |
Dimensional 2070 Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dimensional 2070's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dimensional 2070's standard deviation. In reality, there are many statistical measures that can use Dimensional 2070 historical prices to predict the future Dimensional 2070's volatility.| Risk Adjusted Performance | 0.0709 | |||
| Jensen Alpha | 0.0215 | |||
| Total Risk Alpha | 0.0152 | |||
| Sortino Ratio | 0.0113 | |||
| Treynor Ratio | 0.0736 |
Dimensional 2070 February 4, 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 | 0.0709 | |||
| Market Risk Adjusted Performance | 0.0836 | |||
| Mean Deviation | 0.4819 | |||
| Semi Deviation | 0.617 | |||
| Downside Deviation | 0.7654 | |||
| Coefficient Of Variation | 1010.36 | |||
| Standard Deviation | 0.623 | |||
| Variance | 0.3881 | |||
| Information Ratio | 0.0139 | |||
| Jensen Alpha | 0.0215 | |||
| Total Risk Alpha | 0.0152 | |||
| Sortino Ratio | 0.0113 | |||
| Treynor Ratio | 0.0736 | |||
| Maximum Drawdown | 2.88 | |||
| Value At Risk | (1.12) | |||
| Potential Upside | 0.9813 | |||
| Downside Variance | 0.5858 | |||
| Semi Variance | 0.3807 | |||
| Expected Short fall | (0.50) | |||
| Skewness | (0.54) | |||
| Kurtosis | 0.1188 |
Dimensional 2070 Target Backtested Returns
At this stage we consider Dimensional Mutual Fund to be very steady. Dimensional 2070 Target secures Sharpe Ratio (or Efficiency) of 0.16, which denotes the fund had a 0.16 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Dimensional 2070 Target, which you can use to evaluate the volatility of the entity. Please confirm Dimensional 2070's Mean Deviation of 0.4819, coefficient of variation of 1010.36, and Downside Deviation of 0.7654 to check if the risk estimate we provide is consistent with the expected return of 0.0993%. The fund shows a Beta (market volatility) of 0.7, which means possible diversification benefits within a given portfolio. As returns on the market increase, Dimensional 2070's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dimensional 2070 is expected to be smaller as well.
Auto-correlation | 0.47 |
Average predictability
Dimensional 2070 Target has average predictability. Overlapping area represents the amount of predictability between Dimensional 2070 time series from 6th of November 2025 to 21st of December 2025 and 21st of December 2025 to 4th 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 Dimensional 2070 Target price movement. The serial correlation of 0.47 indicates that about 47.0% of current Dimensional 2070 price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.47 | |
| Spearman Rank Test | 0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Dimensional 2070 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.
Dimensional 2070 Target Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Dimensional 2070 Target volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Dimensional 2070 February 4, 2026 Technical Indicators
Most technical analysis of Dimensional 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 Dimensional from various momentum indicators to cycle indicators. When you analyze Dimensional 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 | 0.0709 | |||
| Market Risk Adjusted Performance | 0.0836 | |||
| Mean Deviation | 0.4819 | |||
| Semi Deviation | 0.617 | |||
| Downside Deviation | 0.7654 | |||
| Coefficient Of Variation | 1010.36 | |||
| Standard Deviation | 0.623 | |||
| Variance | 0.3881 | |||
| Information Ratio | 0.0139 | |||
| Jensen Alpha | 0.0215 | |||
| Total Risk Alpha | 0.0152 | |||
| Sortino Ratio | 0.0113 | |||
| Treynor Ratio | 0.0736 | |||
| Maximum Drawdown | 2.88 | |||
| Value At Risk | (1.12) | |||
| Potential Upside | 0.9813 | |||
| Downside Variance | 0.5858 | |||
| Semi Variance | 0.3807 | |||
| Expected Short fall | (0.50) | |||
| Skewness | (0.54) | |||
| Kurtosis | 0.1188 |
Dimensional 2070 February 4, 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 Dimensional 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 | 12.16 | ||
| Day Typical Price | 12.16 | ||
| Price Action Indicator | (0.01) |
| Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
| Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
| Commodity Channel Use Commodity Channel Index to analyze current equity momentum |