Dimensional Etf Trust Etf Technical Analysis
| DFSD Etf | USD 48.16 0.03 0.06% |
As of the 2nd of February, Dimensional ETF shows the Mean Deviation of 0.0676, standard deviation of 0.0871, and Coefficient Of Variation of 654.57. Dimensional ETF Trust 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. Please confirm Dimensional ETF Trust jensen alpha, as well as the relationship between the potential upside and skewness to decide if Dimensional ETF Trust is priced favorably, providing market reflects its regular price of 48.16 per share.
Dimensional ETF 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 | Build AI portfolio with Dimensional Etf |
Investors evaluate Dimensional ETF Trust using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Dimensional ETF's intrinsic value—the estimated true worth—helps identify when the stock trades at a discount or premium to fair value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. External factors like market trends, sector rotation, and investor psychology can cause Dimensional ETF's market price to deviate significantly from intrinsic value.
It's important to distinguish between Dimensional ETF's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Dimensional ETF should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Dimensional ETF's market price signifies the transaction level at which participants voluntarily complete trades.
Dimensional ETF '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 ETF's etf 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 ETF.
| 11/04/2025 |
| 02/02/2026 |
If you would invest 0.00 in Dimensional ETF on November 4, 2025 and sell it all today you would earn a total of 0.00 from holding Dimensional ETF Trust or generate 0.0% return on investment in Dimensional ETF over 90 days. Dimensional ETF is related to or competes with Dimensional ETF, Vanguard New, WisdomTree LargeCap, Fidelity Covington, Fidelity Asset, IShares MSCI, and Invesco SP. At least 80 percent of the Portfolios net assets will be invested in fixed income securities considered to be investment... More
Dimensional ETF 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 ETF's etf 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 ETF Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.089 | |||
| Information Ratio | (0.36) | |||
| Maximum Drawdown | 0.3974 | |||
| Value At Risk | (0.13) | |||
| Potential Upside | 0.1462 |
Dimensional ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dimensional ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dimensional ETF's standard deviation. In reality, there are many statistical measures that can use Dimensional ETF historical prices to predict the future Dimensional ETF's volatility.| Risk Adjusted Performance | 0.0375 | |||
| Jensen Alpha | 0.0022 | |||
| Total Risk Alpha | (0.0009) | |||
| Sortino Ratio | (0.36) | |||
| Treynor Ratio | 0.1064 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dimensional ETF's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Dimensional ETF February 2, 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 | 0.0375 | |||
| Market Risk Adjusted Performance | 0.1164 | |||
| Mean Deviation | 0.0676 | |||
| Downside Deviation | 0.089 | |||
| Coefficient Of Variation | 654.57 | |||
| Standard Deviation | 0.0871 | |||
| Variance | 0.0076 | |||
| Information Ratio | (0.36) | |||
| Jensen Alpha | 0.0022 | |||
| Total Risk Alpha | (0.0009) | |||
| Sortino Ratio | (0.36) | |||
| Treynor Ratio | 0.1064 | |||
| Maximum Drawdown | 0.3974 | |||
| Value At Risk | (0.13) | |||
| Potential Upside | 0.1462 | |||
| Downside Variance | 0.0079 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.08) | |||
| Skewness | 0.0302 | |||
| Kurtosis | 0.5222 |
Dimensional ETF Trust Backtested Returns
At this point, Dimensional ETF is very steady. Dimensional ETF Trust secures Sharpe Ratio (or Efficiency) of 0.23, which denotes the etf had a 0.23 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Dimensional ETF Trust, which you can use to evaluate the volatility of the entity. Please confirm Dimensional ETF's Coefficient Of Variation of 654.57, mean deviation of 0.0676, and Standard Deviation of 0.0871 to check if the risk estimate we provide is consistent with the expected return of 0.0192%. The etf shows a Beta (market volatility) of 0.0311, which means not very significant fluctuations relative to the market. As returns on the market increase, Dimensional ETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dimensional ETF is expected to be smaller as well.
Auto-correlation | 0.60 |
Good predictability
Dimensional ETF Trust has good predictability. Overlapping area represents the amount of predictability between Dimensional ETF time series from 4th of November 2025 to 19th of December 2025 and 19th of December 2025 to 2nd 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 ETF Trust price movement. The serial correlation of 0.6 indicates that roughly 60.0% of current Dimensional ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.6 | |
| Spearman Rank Test | 0.65 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Dimensional ETF technical etf 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, etf market cycles, or different charting patterns.
Dimensional ETF Trust 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 ETF Trust volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Dimensional ETF 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 Dimensional ETF Trust 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 Dimensional ETF Trust based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Dimensional ETF Trust price pattern first instead of the macroeconomic environment surrounding Dimensional ETF Trust. By analyzing Dimensional ETF'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 Dimensional ETF'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 Dimensional ETF specific price patterns or momentum indicators. Please read more on our technical analysis page.
Dimensional ETF February 2, 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 | 0.0375 | |||
| Market Risk Adjusted Performance | 0.1164 | |||
| Mean Deviation | 0.0676 | |||
| Downside Deviation | 0.089 | |||
| Coefficient Of Variation | 654.57 | |||
| Standard Deviation | 0.0871 | |||
| Variance | 0.0076 | |||
| Information Ratio | (0.36) | |||
| Jensen Alpha | 0.0022 | |||
| Total Risk Alpha | (0.0009) | |||
| Sortino Ratio | (0.36) | |||
| Treynor Ratio | 0.1064 | |||
| Maximum Drawdown | 0.3974 | |||
| Value At Risk | (0.13) | |||
| Potential Upside | 0.1462 | |||
| Downside Variance | 0.0079 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.08) | |||
| Skewness | 0.0302 | |||
| Kurtosis | 0.5222 |
Dimensional ETF February 2, 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 | 0.60 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 48.15 | ||
| Day Typical Price | 48.15 | ||
| Price Action Indicator | 0.03 | ||
| Market Facilitation Index | 0.05 |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Dimensional ETF Trust. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as various price indices. You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Investors evaluate Dimensional ETF Trust using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Dimensional ETF's intrinsic value—the estimated true worth—helps identify when the stock trades at a discount or premium to fair value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. External factors like market trends, sector rotation, and investor psychology can cause Dimensional ETF's market price to deviate significantly from intrinsic value.
It's important to distinguish between Dimensional ETF's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Dimensional ETF should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Dimensional ETF's market price signifies the transaction level at which participants voluntarily complete trades.