Dfa Emerging Markets Fund Technical Analysis
| DAADX Fund | USD 13.64 0.08 0.58% |
As of the 29th of January, Dfa Emerging shows the Downside Deviation of 0.678, mean deviation of 0.5418, and Semi Deviation of 0.3219. Dfa Emerging Markets 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.
Dfa Emerging Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Dfa, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DfaDfa |
Dfa Emerging '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 Dfa Emerging'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 Dfa Emerging.
| 10/31/2025 |
| 01/29/2026 |
If you would invest 0.00 in Dfa Emerging on October 31, 2025 and sell it all today you would earn a total of 0.00 from holding Dfa Emerging Markets or generate 0.0% return on investment in Dfa Emerging over 90 days. Dfa Emerging is related to or competes with Vanguard Financials, Prudential Financial, Financial Industries, and Pimco Capital. Under normal circumstances, the Portfolio will invest at least 80 percent of its net assets in emerging markets equity i... More
Dfa Emerging 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 Dfa Emerging'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 Dfa Emerging Markets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.678 | |||
| Information Ratio | 0.1945 | |||
| Maximum Drawdown | 2.95 | |||
| Value At Risk | (0.99) | |||
| Potential Upside | 1.27 |
Dfa Emerging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dfa Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dfa Emerging's standard deviation. In reality, there are many statistical measures that can use Dfa Emerging historical prices to predict the future Dfa Emerging's volatility.| Risk Adjusted Performance | 0.222 | |||
| Jensen Alpha | 0.1698 | |||
| Total Risk Alpha | 0.1383 | |||
| Sortino Ratio | 0.1983 | |||
| Treynor Ratio | 0.4387 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dfa Emerging'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.
Dfa Emerging January 29, 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 | 0.222 | |||
| Market Risk Adjusted Performance | 0.4487 | |||
| Mean Deviation | 0.5418 | |||
| Semi Deviation | 0.3219 | |||
| Downside Deviation | 0.678 | |||
| Coefficient Of Variation | 330.23 | |||
| Standard Deviation | 0.6912 | |||
| Variance | 0.4778 | |||
| Information Ratio | 0.1945 | |||
| Jensen Alpha | 0.1698 | |||
| Total Risk Alpha | 0.1383 | |||
| Sortino Ratio | 0.1983 | |||
| Treynor Ratio | 0.4387 | |||
| Maximum Drawdown | 2.95 | |||
| Value At Risk | (0.99) | |||
| Potential Upside | 1.27 | |||
| Downside Variance | 0.4596 | |||
| Semi Variance | 0.1036 | |||
| Expected Short fall | (0.63) | |||
| Skewness | (0.19) | |||
| Kurtosis | 0.3282 |
Dfa Emerging Markets Backtested Returns
Dfa Emerging appears to be very steady, given 3 months investment horizon. Dfa Emerging Markets secures Sharpe Ratio (or Efficiency) of 0.28, which denotes the fund had a 0.28 % return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for Dfa Emerging Markets, which you can use to evaluate the volatility of the entity. Please utilize Dfa Emerging's Mean Deviation of 0.5418, downside deviation of 0.678, and Semi Deviation of 0.3219 to check if our risk estimates are consistent with your expectations. The fund shows a Beta (market volatility) of 0.45, which means possible diversification benefits within a given portfolio. As returns on the market increase, Dfa Emerging's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dfa Emerging is expected to be smaller as well.
Auto-correlation | -0.15 |
Insignificant reverse predictability
Dfa Emerging Markets has insignificant reverse predictability. Overlapping area represents the amount of predictability between Dfa Emerging time series from 31st of October 2025 to 15th of December 2025 and 15th of December 2025 to 29th 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 Dfa Emerging Markets price movement. The serial correlation of -0.15 indicates that less than 15.0% of current Dfa Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.15 | |
| Spearman Rank Test | -0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 0.27 |
Dfa Emerging 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.
Dfa Emerging Markets 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 Dfa Emerging Markets across different markets.
About Dfa Emerging 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 Dfa Emerging Markets 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 Dfa Emerging Markets based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Dfa Emerging Markets price pattern first instead of the macroeconomic environment surrounding Dfa Emerging Markets. By analyzing Dfa Emerging'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 Dfa Emerging'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 Dfa Emerging specific price patterns or momentum indicators. Please read more on our technical analysis page.
Dfa Emerging January 29, 2026 Technical Indicators
Most technical analysis of Dfa 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 Dfa from various momentum indicators to cycle indicators. When you analyze Dfa 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 | 0.222 | |||
| Market Risk Adjusted Performance | 0.4487 | |||
| Mean Deviation | 0.5418 | |||
| Semi Deviation | 0.3219 | |||
| Downside Deviation | 0.678 | |||
| Coefficient Of Variation | 330.23 | |||
| Standard Deviation | 0.6912 | |||
| Variance | 0.4778 | |||
| Information Ratio | 0.1945 | |||
| Jensen Alpha | 0.1698 | |||
| Total Risk Alpha | 0.1383 | |||
| Sortino Ratio | 0.1983 | |||
| Treynor Ratio | 0.4387 | |||
| Maximum Drawdown | 2.95 | |||
| Value At Risk | (0.99) | |||
| Potential Upside | 1.27 | |||
| Downside Variance | 0.4596 | |||
| Semi Variance | 0.1036 | |||
| Expected Short fall | (0.63) | |||
| Skewness | (0.19) | |||
| Kurtosis | 0.3282 |
Dfa Emerging January 29, 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 Dfa 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 | 0.99 | ||
| Day Median Price | 13.64 | ||
| Day Typical Price | 13.64 | ||
| Price Action Indicator | (0.04) |
Other Information on Investing in Dfa Mutual Fund
Dfa Emerging financial ratios help investors to determine whether Dfa Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Dfa with respect to the benefits of owning Dfa Emerging security.
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