Precious Metals Ultrasector Fund Technical Analysis
| PMPIX Fund | USD 52.34 1.95 3.59% |
As of the 15th of December 2024, Precious Metals holds the Variance of 8.2, coefficient of variation of (1,698), and Risk Adjusted Performance of (0.04). Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Precious Metals, as well as the relationship between them.
Precious Metals Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Precious, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PreciousPrecious |
Precious Metals 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.
Precious Metals Ultr Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-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 Precious Metals Ultr volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Precious Metals Ultr Trend Analysis
Use this graph to draw trend lines for Precious Metals Ultrasector. You can use it to identify possible trend reversals for Precious Metals 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 Precious Metals price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Precious Metals Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Precious Metals Ultrasector applied against its price change over selected period. The best fit line has a slop of 0.2 , which may suggest that Precious Metals Ultrasector market price will keep on failing further. It has 122 observation points and a regression sum of squares at 1517.33, which is the sum of squared deviations for the predicted Precious Metals price change compared to its average price change.About Precious Metals 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 Precious Metals Ultrasector 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 Precious Metals Ultrasector based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Precious Metals Ultr price pattern first instead of the macroeconomic environment surrounding Precious Metals Ultr. By analyzing Precious Metals'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 Precious Metals'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 Precious Metals specific price patterns or momentum indicators. Please read more on our technical analysis page.
Precious Metals December 15, 2024 Technical Indicators
Most technical analysis of Precious 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 Precious from various momentum indicators to cycle indicators. When you analyze Precious 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 | (0.04) | |||
| Market Risk Adjusted Performance | 0.8588 | |||
| Mean Deviation | 2.16 | |||
| Coefficient Of Variation | (1,698) | |||
| Standard Deviation | 2.86 | |||
| Variance | 8.2 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | (0.16) | |||
| Total Risk Alpha | (0.53) | |||
| Treynor Ratio | 0.8488 | |||
| Maximum Drawdown | 15.52 | |||
| Value At Risk | (4.76) | |||
| Potential Upside | 4.34 | |||
| Skewness | (0.23) | |||
| Kurtosis | 0.7637 |
Precious Metals Ultr One Year Return
Based on the recorded statements, Precious Metals Ultrasector has an One Year Return of 23.8734%. This is 54.27% lower than that of the ProFunds family and 57.54% 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 Precious Mutual Fund
Precious Metals financial ratios help investors to determine whether Precious 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 Precious with respect to the benefits of owning Precious Metals security.
| Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |