Dimensional Equity Etf Technical Analysis
| DFUS Etf | USD 75.65 0.16 0.21% |
As of the 30th of January, Dimensional Equity shows the Coefficient Of Variation of 1987.35, mean deviation of 0.5542, and Downside Deviation of 0.8331. Dimensional Equity ETF 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 Equity ETF downside deviation, treynor ratio, as well as the relationship between the Treynor Ratio and expected short fall to decide if Dimensional Equity ETF is priced favorably, providing market reflects its regular price of 75.65 per share.
Dimensional Equity 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 |
Dimensional Equity ETF's market price often diverges from its book value, the accounting figure shown on Dimensional's balance sheet. Smart investors calculate Dimensional Equity's intrinsic value—its true economic worth—which may differ significantly from both market price and book value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. Since Dimensional Equity's trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
It's important to distinguish between Dimensional Equity's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Dimensional Equity should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. However, Dimensional Equity's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Dimensional Equity '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 Equity'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 Equity.
| 11/01/2025 |
| 01/30/2026 |
If you would invest 0.00 in Dimensional Equity on November 1, 2025 and sell it all today you would earn a total of 0.00 from holding Dimensional Equity ETF or generate 0.0% return on investment in Dimensional Equity over 90 days. Dimensional Equity is related to or competes with IShares Russell, Dimensional Targeted, Vanguard Health, Vanguard Health, Dimensional Small, IShares Russell, and IShares Semiconductor. As a non-fundamental policy, under normal circumstances, the fund will invest at least 80 percent of its net assets in s... More
Dimensional Equity 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 Equity'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 Equity ETF upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8331 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 3.46 | |||
| Value At Risk | (1.23) | |||
| Potential Upside | 1.11 |
Dimensional Equity Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dimensional Equity's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dimensional Equity's standard deviation. In reality, there are many statistical measures that can use Dimensional Equity historical prices to predict the future Dimensional Equity's volatility.| Risk Adjusted Performance | 0.0367 | |||
| Jensen Alpha | 0.0234 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.3534 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dimensional Equity'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 Equity 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 | 0.0367 | |||
| Market Risk Adjusted Performance | 0.3634 | |||
| Mean Deviation | 0.5542 | |||
| Semi Deviation | 0.7783 | |||
| Downside Deviation | 0.8331 | |||
| Coefficient Of Variation | 1987.35 | |||
| Standard Deviation | 0.7417 | |||
| Variance | 0.5501 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | 0.0234 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.3534 | |||
| Maximum Drawdown | 3.46 | |||
| Value At Risk | (1.23) | |||
| Potential Upside | 1.11 | |||
| Downside Variance | 0.694 | |||
| Semi Variance | 0.6058 | |||
| Expected Short fall | (0.57) | |||
| Skewness | (0.57) | |||
| Kurtosis | 0.4804 |
Dimensional Equity ETF Backtested Returns
Currently, Dimensional Equity ETF is very steady. Dimensional Equity ETF secures Sharpe Ratio (or Efficiency) of 0.0503, which denotes the etf had a 0.0503 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Dimensional Equity ETF, which you can use to evaluate the volatility of the entity. Please confirm Dimensional Equity's Downside Deviation of 0.8331, mean deviation of 0.5542, and Coefficient Of Variation of 1987.35 to check if the risk estimate we provide is consistent with the expected return of 0.0373%. The etf shows a Beta (market volatility) of 0.0773, which means not very significant fluctuations relative to the market. As returns on the market increase, Dimensional Equity's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dimensional Equity is expected to be smaller as well.
Auto-correlation | 0.22 |
Weak predictability
Dimensional Equity ETF has weak predictability. Overlapping area represents the amount of predictability between Dimensional Equity 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 Dimensional Equity ETF price movement. The serial correlation of 0.22 indicates that over 22.0% of current Dimensional Equity price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.22 | |
| Spearman Rank Test | 0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 0.54 |
Dimensional Equity 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 Equity ETF 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 Equity ETF volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Dimensional Equity 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 Equity ETF 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 Equity ETF based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Dimensional Equity ETF price pattern first instead of the macroeconomic environment surrounding Dimensional Equity ETF. By analyzing Dimensional Equity'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 Equity'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 Equity specific price patterns or momentum indicators. Please read more on our technical analysis page.
Dimensional Equity January 30, 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 | 0.0367 | |||
| Market Risk Adjusted Performance | 0.3634 | |||
| Mean Deviation | 0.5542 | |||
| Semi Deviation | 0.7783 | |||
| Downside Deviation | 0.8331 | |||
| Coefficient Of Variation | 1987.35 | |||
| Standard Deviation | 0.7417 | |||
| Variance | 0.5501 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | 0.0234 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.3534 | |||
| Maximum Drawdown | 3.46 | |||
| Value At Risk | (1.23) | |||
| Potential Upside | 1.11 | |||
| Downside Variance | 0.694 | |||
| Semi Variance | 0.6058 | |||
| Expected Short fall | (0.57) | |||
| Skewness | (0.57) | |||
| Kurtosis | 0.4804 |
Dimensional Equity 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 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 | 0.02 | ||
| Daily Balance Of Power | (0.12) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 75.31 | ||
| Day Typical Price | 75.42 | ||
| Price Action Indicator | 0.27 | ||
| Market Facilitation Index | 1.29 |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Dimensional Equity ETF. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in persons. You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Dimensional Equity ETF's market price often diverges from its book value, the accounting figure shown on Dimensional's balance sheet. Smart investors calculate Dimensional Equity's intrinsic value—its true economic worth—which may differ significantly from both market price and book value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. Since Dimensional Equity's trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
It's important to distinguish between Dimensional Equity's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Dimensional Equity should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. However, Dimensional Equity's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.