Utilities Ultrasector Profund Fund Technical Analysis
| UTPIX Fund | USD 70.78 0.58 0.83% |
As of the 26th of December, Utilities Ultrasector has the Risk Adjusted Performance of (0.05), variance of 2.49, and Coefficient Of Variation of (1,544). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Utilities Ultrasector, as well as the relationship between them.
Utilities Ultrasector Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Utilities, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to UtilitiesUtilities |
Utilities Ultrasector 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.
Utilities Ultrasector Technical Analysis
The output start index for this execution was twenty with a total number of output elements of fourty-one. 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 Utilities Ultrasector volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Utilities Ultrasector Trend Analysis
Use this graph to draw trend lines for Utilities Ultrasector Profund. You can use it to identify possible trend reversals for Utilities Ultrasector as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Utilities Ultrasector price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Utilities Ultrasector Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Utilities Ultrasector Profund applied against its price change over selected period. The best fit line has a slop of 0.09 , which may suggest that Utilities Ultrasector Profund market price will keep on failing further. It has 122 observation points and a regression sum of squares at 332.81, which is the sum of squared deviations for the predicted Utilities Ultrasector price change compared to its average price change.About Utilities Ultrasector 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 Utilities Ultrasector Profund 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 Utilities Ultrasector Profund based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Utilities Ultrasector price pattern first instead of the macroeconomic environment surrounding Utilities Ultrasector. By analyzing Utilities Ultrasector'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 Utilities Ultrasector'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 Utilities Ultrasector specific price patterns or momentum indicators. Please read more on our technical analysis page.
Utilities Ultrasector December 26, 2024 Technical Indicators
Most technical analysis of Utilities 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 Utilities from various momentum indicators to cycle indicators. When you analyze Utilities 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 | (0.05) | |||
| Market Risk Adjusted Performance | (0.22) | |||
| Mean Deviation | 1.22 | |||
| Coefficient Of Variation | (1,544) | |||
| Standard Deviation | 1.58 | |||
| Variance | 2.49 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.18) | |||
| Treynor Ratio | (0.23) | |||
| Maximum Drawdown | 6.63 | |||
| Value At Risk | (3.23) | |||
| Potential Upside | 2.65 | |||
| Skewness | (0.17) | |||
| Kurtosis | (0.12) |
Utilities Ultrasector One Year Return
Based on the recorded statements, Utilities Ultrasector Profund has an One Year Return of 32.8154%. This is 37.15% lower than that of the ProFunds family and 41.64% lower than that of the Trading--Leveraged Equity category. The one year return for all United States funds is notably lower than that of the firm.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.Other Information on Investing in Utilities Mutual Fund
Utilities Ultrasector financial ratios help investors to determine whether Utilities 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 Utilities with respect to the benefits of owning Utilities Ultrasector security.
| Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
| Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
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