Dimensional Sustainability Core Etf Technical Analysis
| DFSU Etf | USD 43.45 0.15 0.35% |
As of the 15th of February 2026, Dimensional Sustainability shows the Mean Deviation of 0.6002, coefficient of variation of 4073.2, and Downside Deviation of 0.8803. Dimensional Sustainability 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.
Dimensional Sustainability 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 Sustainability using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Dimensional Sustainability's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. External factors like market trends, sector rotation, and investor psychology can cause Dimensional Sustainability's market price to deviate significantly from intrinsic value.
It's important to distinguish between Dimensional Sustainability's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Dimensional Sustainability should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Dimensional Sustainability's market price signifies the transaction level at which participants voluntarily complete trades.
Dimensional Sustainability '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 Sustainability'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 Sustainability.
| 11/17/2025 |
| 02/15/2026 |
If you would invest 0.00 in Dimensional Sustainability on November 17, 2025 and sell it all today you would earn a total of 0.00 from holding Dimensional Sustainability Core or generate 0.0% return on investment in Dimensional Sustainability over 90 days. Dimensional Sustainability is related to or competes with Matthews International, Gammaroad Market, ProShares Metaverse, DBX ETF, IndexIQ Active, Hypatia Women, and CYBER HORNET. Dimensional Sustainability is entity of United States More
Dimensional Sustainability 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 Sustainability'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 Sustainability Core upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8803 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 4.14 | |||
| Value At Risk | (1.46) | |||
| Potential Upside | 1.41 |
Dimensional Sustainability Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dimensional Sustainability's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dimensional Sustainability's standard deviation. In reality, there are many statistical measures that can use Dimensional Sustainability historical prices to predict the future Dimensional Sustainability's volatility.| Risk Adjusted Performance | 0.0197 | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.0111 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dimensional Sustainability'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 Sustainability February 15, 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 | 0.0197 | |||
| Market Risk Adjusted Performance | 0.0211 | |||
| Mean Deviation | 0.6002 | |||
| Semi Deviation | 0.8244 | |||
| Downside Deviation | 0.8803 | |||
| Coefficient Of Variation | 4073.2 | |||
| Standard Deviation | 0.7997 | |||
| Variance | 0.6395 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.0111 | |||
| Maximum Drawdown | 4.14 | |||
| Value At Risk | (1.46) | |||
| Potential Upside | 1.41 | |||
| Downside Variance | 0.775 | |||
| Semi Variance | 0.6797 | |||
| Expected Short fall | (0.60) | |||
| Skewness | (0.26) | |||
| Kurtosis | 0.8642 |
Dimensional Sustainability Backtested Returns
Currently, Dimensional Sustainability Core is very steady. Dimensional Sustainability secures Sharpe Ratio (or Efficiency) of 0.0851, which denotes the etf had a 0.0851 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Dimensional Sustainability Core, which you can use to evaluate the volatility of the entity. Please confirm Dimensional Sustainability's Coefficient Of Variation of 4073.2, downside deviation of 0.8803, and Mean Deviation of 0.6002 to check if the risk estimate we provide is consistent with the expected return of 0.0662%. The etf shows a Beta (market volatility) of 0.87, which means possible diversification benefits within a given portfolio. Dimensional Sustainability returns are very sensitive to returns on the market. As the market goes up or down, Dimensional Sustainability is expected to follow.
Auto-correlation | -0.07 |
Very weak reverse predictability
Dimensional Sustainability Core has very weak reverse predictability. Overlapping area represents the amount of predictability between Dimensional Sustainability time series from 17th of November 2025 to 1st of January 2026 and 1st of January 2026 to 15th 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 Sustainability price movement. The serial correlation of -0.07 indicates that barely 7.0% of current Dimensional Sustainability price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.07 | |
| Spearman Rank Test | -0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 0.12 |
Dimensional Sustainability 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 Sustainability Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Dimensional Sustainability across different markets.
About Dimensional Sustainability 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 Sustainability Core 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 Sustainability Core based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Dimensional Sustainability price pattern first instead of the macroeconomic environment surrounding Dimensional Sustainability. By analyzing Dimensional Sustainability'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 Sustainability'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 Sustainability specific price patterns or momentum indicators. Please read more on our technical analysis page.
Dimensional Sustainability February 15, 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 | 0.0197 | |||
| Market Risk Adjusted Performance | 0.0211 | |||
| Mean Deviation | 0.6002 | |||
| Semi Deviation | 0.8244 | |||
| Downside Deviation | 0.8803 | |||
| Coefficient Of Variation | 4073.2 | |||
| Standard Deviation | 0.7997 | |||
| Variance | 0.6395 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.0111 | |||
| Maximum Drawdown | 4.14 | |||
| Value At Risk | (1.46) | |||
| Potential Upside | 1.41 | |||
| Downside Variance | 0.775 | |||
| Semi Variance | 0.6797 | |||
| Expected Short fall | (0.60) | |||
| Skewness | (0.26) | |||
| Kurtosis | 0.8642 |
Dimensional Sustainability February 15, 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 | 0.01 | ||
| Daily Balance Of Power | 0.27 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 43.42 | ||
| Day Typical Price | 43.43 | ||
| Price Action Indicator | 0.11 | ||
| Market Facilitation Index | 0.56 |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Dimensional Sustainability Core. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in producer price index. You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
Investors evaluate Dimensional Sustainability using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Dimensional Sustainability's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. External factors like market trends, sector rotation, and investor psychology can cause Dimensional Sustainability's market price to deviate significantly from intrinsic value.
It's important to distinguish between Dimensional Sustainability's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Dimensional Sustainability should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Dimensional Sustainability's market price signifies the transaction level at which participants voluntarily complete trades.