Us Large Pany Fund Technical Analysis
| DFUSX Fund | USD 46.31 0.25 0.54% |
As of the 2nd of February, Us Large owns the Risk Adjusted Performance of 0.0213, downside deviation of 0.8416, and Mean Deviation of 0.5191. Us Large Pany technical analysis provides you with a way to harness past data patterns to determine a pattern that measures the direction of the fund's future prices.
Us Large Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as DFUSX, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DFUSXDFUSX |
Us Large '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 Us Large'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 Us Large.
| 11/04/2025 |
| 02/02/2026 |
If you would invest 0.00 in Us Large on November 4, 2025 and sell it all today you would earn a total of 0.00 from holding Us Large Pany or generate 0.0% return on investment in Us Large over 90 days. Us Large is related to or competes with Us Targeted, Us Small, Six Circles, Jpmorgan Mid, Dfa International, American High-income, and Lazard Emerging. The fund generally invests in the stocks that comprise the SP 500 Index in approximately the proportions they are repres... More
Us Large 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 Us Large'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 Us Large Pany upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8416 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 3.62 | |||
| Value At Risk | (1.17) | |||
| Potential Upside | 0.9926 |
Us Large Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Us Large's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Us Large's standard deviation. In reality, there are many statistical measures that can use Us Large historical prices to predict the future Us Large's volatility.| Risk Adjusted Performance | 0.0213 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0145 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Us Large'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.
Us Large 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 | 0.0213 | |||
| Market Risk Adjusted Performance | 0.0245 | |||
| Mean Deviation | 0.5191 | |||
| Semi Deviation | 0.7831 | |||
| Downside Deviation | 0.8416 | |||
| Coefficient Of Variation | 3366.83 | |||
| Standard Deviation | 0.7072 | |||
| Variance | 0.5001 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0145 | |||
| Maximum Drawdown | 3.62 | |||
| Value At Risk | (1.17) | |||
| Potential Upside | 0.9926 | |||
| Downside Variance | 0.7083 | |||
| Semi Variance | 0.6133 | |||
| Expected Short fall | (0.50) | |||
| Skewness | (0.59) | |||
| Kurtosis | 0.8045 |
Us Large Pany Backtested Returns
At this stage we consider DFUSX Mutual Fund to be very steady. Us Large Pany retains Efficiency (Sharpe Ratio) of 0.0785, which indicates the fund had a 0.0785 % return per unit of price deviation over the last 3 months. We have found twenty-eight technical indicators for Us Large, which you can use to evaluate the volatility of the fund. Please validate Us Large's Downside Deviation of 0.8416, mean deviation of 0.5191, and Risk Adjusted Performance of 0.0213 to confirm if the risk estimate we provide is consistent with the expected return of 0.0552%. The entity owns a Beta (Systematic Risk) of 0.76, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Us Large's returns are expected to increase less than the market. However, during the bear market, the loss of holding Us Large is expected to be smaller as well.
Auto-correlation | 0.05 |
Virtually no predictability
Us Large Pany has virtually no predictability. Overlapping area represents the amount of predictability between Us Large 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 Us Large Pany price movement. The serial correlation of 0.05 indicates that only as little as 5.0% of current Us Large price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.05 | |
| Spearman Rank Test | 0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 0.09 |
Us Large 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.
Us Large Pany 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 Us Large Pany volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Us Large 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 Us Large Pany 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 Us Large Pany based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Us Large Pany price pattern first instead of the macroeconomic environment surrounding Us Large Pany. By analyzing Us Large'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 Us Large'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 Us Large specific price patterns or momentum indicators. Please read more on our technical analysis page.
Us Large February 2, 2026 Technical Indicators
Most technical analysis of DFUSX 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 DFUSX from various momentum indicators to cycle indicators. When you analyze DFUSX 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 | 0.0213 | |||
| Market Risk Adjusted Performance | 0.0245 | |||
| Mean Deviation | 0.5191 | |||
| Semi Deviation | 0.7831 | |||
| Downside Deviation | 0.8416 | |||
| Coefficient Of Variation | 3366.83 | |||
| Standard Deviation | 0.7072 | |||
| Variance | 0.5001 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0145 | |||
| Maximum Drawdown | 3.62 | |||
| Value At Risk | (1.17) | |||
| Potential Upside | 0.9926 | |||
| Downside Variance | 0.7083 | |||
| Semi Variance | 0.6133 | |||
| Expected Short fall | (0.50) | |||
| Skewness | (0.59) | |||
| Kurtosis | 0.8045 |
Us Large 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 DFUSX 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 | 1.01 | ||
| Day Median Price | 46.31 | ||
| Day Typical Price | 46.31 | ||
| Price Action Indicator | 0.13 |
Other Information on Investing in DFUSX Mutual Fund
Us Large financial ratios help investors to determine whether DFUSX 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 DFUSX with respect to the benefits of owning Us Large security.
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