Dimensional Small Cap Etf Technical Analysis
| DFAS Etf | USD 72.27 0.37 0.51% |
As of the 10th of March, Dimensional Small trades at 72.27 per share. Key technical indicators include Coefficient Of Variation of 1649.99, downside deviation of 1.0, and Mean Deviation of 0.7707. The technical model evaluates historical price movement, trading volume, and volatility patterns to quantify trend strength. Current values are evaluated relative to sector peers and historical ranges.
Dimensional Small 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 |
The market value of Dimensional Small Cap is measured differently than book value, which reflects Dimensional accounting equity. Intrinsic value represents an estimate of underlying worth and can differ from both market price and book value. Market price can move with sentiment, cycles, and liquidity conditions, so it may drift away from fundamentals. Valuation methods compare these perspectives to frame context.
Note that Dimensional Small's intrinsic value and market price are different measures derived from different inputs. Analysis often considers earnings, revenue quality, fundamentals, technical signals, competition, and analyst coverage. By contrast, market price reflects the level where buyers and sellers transact.
Dimensional Small 'What if' Analysis
Running a what-if backtest on Dimensional Small Cap gives investors a practical way to test how changes in horizon, position size, or market timing might have affected the result. Used properly, this review helps investors decide whether Dimensional Small's historical reward profile was stable enough to support the current thesis.
| 12/10/2025 |
| 03/10/2026 |
If you invested 0.00 in Dimensional Small on December 10, 2025 and closed the position today, you would earn 0.00 in total gains. That corresponds to a 0.0% return on investment in Dimensional Small overall over 90 days.. Dimensional Small is related to or competes with Dimensional Targeted, Dimensional Marketwide, Dimensional International, Vanguard Pacific, Dimensional International, Vanguard FTSE, and IShares Core. Peer context helps frame relative positioning. The fund, using a market capitalization weighted approach, is designed to generally purchase a broad and diverse group o... More
Dimensional Small Upside and Downside Indicators Overview
Upside and downside indicators for Dimensional Small summarize momentum balance and potential range context for the ETF. They compare current price to recent trend and sentiment readings.
| Downside Deviation | 1.0 | |||
| Information Ratio | 0.051 | |||
| Maximum Drawdown | 5.15 | |||
| Value At Risk | -1.66 | |||
| Potential Upside | 1.65 |
Dimensional Small Market Risk Indicators Overview
Market risk indicators summarize volatility and return dispersion for Dimensional Small. The metrics rely on historical prices to describe variability over time.| Risk Adjusted Performance | 0.0494 | |||
| Jensen Alpha | 0.0518 | |||
| Total Risk Alpha | 0.0519 | |||
| Sortino Ratio | 0.0517 | |||
| Treynor Ratio | 0.0441 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dimensional Small's price to converge to an average value over time is called mean reversion.
Dimensional Small 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 | 0.0494 | |||
| Market Risk Adjusted Performance | 0.0541 | |||
| Mean Deviation | 0.7707 | |||
| Semi Deviation | 0.9194 | |||
| Downside Deviation | 1.0 | |||
| Coefficient Of Variation | 1649.99 | |||
| Standard Deviation | 1.02 | |||
| Variance | 1.03 | |||
| Information Ratio | 0.051 | |||
| Jensen Alpha | 0.0518 | |||
| Total Risk Alpha | 0.0519 | |||
| Sortino Ratio | 0.0517 | |||
| Treynor Ratio | 0.0441 | |||
| Maximum Drawdown | 5.15 | |||
| Value At Risk | -1.66 | |||
| Potential Upside | 1.65 | |||
| Downside Variance | 1.0 | |||
| Semi Variance | 0.8453 | |||
| Expected Short fall | -0.79 | |||
| Skewness | 0.2348 | |||
| Kurtosis | 0.603 |
Dimensional Small Cap Backtested Returns
Dimensional Small appears to exhibit a very low volatility profile over the selected 3 months investment horizon. It has a Sharpe Ratio of 0.0264, which indicates that 0.0264 units of return per unit of risk over the last 3 months. We identified thirty technical indicators supporting this volatility profile. Please review metrics such as Coefficient Of Variation of 1649.99, mean deviation of 0.7707, and Downside Deviation of 1.0 to confirm whether our risk estimates align with your expectations. The etf has a beta of 1.17, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Dimensional Small will likely underperform.
Auto-correlation | -0.41 |
Modest reverse predictability
Dimensional Small Cap exhibits modest reverse predictability. Autocorrelation measures the degree of predictability between Dimensional Small time series from 10th of December 2025 to 24th of January 2026 and from 24th of January 2026 to 10th of March 2026. The stronger the relationship between the current interval and its lagged values, the more accurately future price behavior of Dimensional Small Cap may be projected. A serial correlation of -0.41 indicates that just about 41.0% of current Dimensional Small price fluctuations can be explained by its historical price movements. Given that Dimensional Small Cap has negative autocorrelation for the selected time horizon, market participants may evaluate potential contrarian price behavior over comparable future intervals.
| Correlation Coefficient | -0.41 | |
| Spearman Rank Test | 0.04 | |
| Residual Average | 0.0 | |
| Price Variance | 1.45 |
Dimensional Small technical etf analysis uses price and volume transformations to study behavior. Typical tools include moving averages, relative strength index, regressions, and price correlations.
Dimensional Small Cap Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Dimensional Small Cap across different markets.
Dimensional Small Cap Technical Trading Context
Technical analysis of Dimensional Small evaluates traded price structure, volume, and spread stability relative to NAV behavior. Trend persistence provides context for directional stability. Cycle exposure remains aligned with broader market trends. Allocation modeling is used to understand how Dimensional Small fits within diversified holdings.
Methodology
Unless otherwise specified, data for Dimensional Small Cap is derived from fund disclosures (prospectus language, holdings reports, and periodic statements where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on instrument type. Dimensional (USA Stocks:DFAS) market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions Technical and fundamental diagnostic scores are rule-based values computed from historical price and fundamental inputs. Dimensional Small Cap may trade at a premium or discount to its reported net asset value (NAV) depending on intraday supply, demand, and underlying basket liquidity.
Assumptions
We primarily rely on public fund disclosures, holdings reports, and market data feeds, including disclosures published by U.S. Securities and Exchange Commission (SEC) via EDGAR. Data is normalized for analytical consistency across reporting formats. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.Research Sources
Dimensional Small Cap may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.
Dimensional Small Technical Indicators
A technical review of Dimensional Small Cap can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0494 | |||
| Market Risk Adjusted Performance | 0.0541 | |||
| Mean Deviation | 0.7707 | |||
| Semi Deviation | 0.9194 | |||
| Downside Deviation | 1.0 | |||
| Coefficient Of Variation | 1649.99 | |||
| Standard Deviation | 1.02 | |||
| Variance | 1.03 | |||
| Information Ratio | 0.051 | |||
| Jensen Alpha | 0.0518 | |||
| Total Risk Alpha | 0.0519 | |||
| Sortino Ratio | 0.0517 | |||
| Treynor Ratio | 0.0441 | |||
| Maximum Drawdown | 5.15 | |||
| Value At Risk | -1.66 | |||
| Potential Upside | 1.65 | |||
| Downside Variance | 1.0 | |||
| Semi Variance | 0.8453 | |||
| Expected Short fall | -0.79 | |||
| Skewness | 0.2348 | |||
| Kurtosis | 0.603 |
Dimensional Small March 10, 2026 Daily Trend Indicators
A technical review of Dimensional Small Cap can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.
| Accumulation Distribution | 0.01 | ||
| Daily Balance Of Power | 1.00 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 72.09 | ||
| Day Typical Price | 72.15 | ||
| Price Action Indicator | 0.37 | ||
| Market Facilitation Index | 0.37 |
More Resources for Dimensional Etf Analysis
A structured review of Dimensional Small Cap often starts with core financial statements and trend context. Key ratios help frame profitability, efficiency, and growth context for Dimensional Small Cap Etf. Outlined below are key reports that provide context for Dimensional Small Cap Etf:Use Investing Opportunities to better understand diversified portfolio construction. Such insight adds context to allocation decisions within a diversified portfolio. This includes a position in Dimensional Small Cap within the portfolio mix. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in nation. Analysis related to Dimensional Small should be read together with other portfolio and risk tools before capital is reallocated. That is especially important when the goal is to improve the overall mix of instruments already held. You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
The market value of Dimensional Small Cap is measured differently than book value, which reflects Dimensional accounting equity. Intrinsic value represents an estimate of underlying worth and can differ from both market price and book value. Market price can move with sentiment, cycles, and liquidity conditions, so it may drift away from fundamentals. Valuation methods compare these perspectives to frame context.
Note that Dimensional Small's intrinsic value and market price are different measures derived from different inputs. Analysis often considers earnings, revenue quality, fundamentals, technical signals, competition, and analyst coverage. By contrast, market price reflects the level where buyers and sellers transact.