Permanent Portfolio Class Fund Technical Analysis
| PRPHX Fund | USD 61.28 0.22 0.36% |
As of the 2nd of December, Permanent Portfolio holds the Risk Adjusted Performance of 0.172, semi deviation of 0.3963, and Coefficient Of Variation of 434.38. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Permanent Portfolio, as well as the relationship between them.
Permanent Portfolio Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Permanent, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PermanentPermanent |
Permanent Portfolio 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.
Permanent Portfolio Class Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Permanent Portfolio Class volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Permanent Portfolio Class Trend Analysis
Use this graph to draw trend lines for Permanent Portfolio Class. You can use it to identify possible trend reversals for Permanent Portfolio 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 Permanent Portfolio price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Permanent Portfolio Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Permanent Portfolio Class applied against its price change over selected period. The best fit line has a slop of 0.08 , which means Permanent Portfolio Class will continue generating value for investors. It has 122 observation points and a regression sum of squares at 225.24, which is the sum of squared deviations for the predicted Permanent Portfolio price change compared to its average price change.About Permanent Portfolio 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 Permanent Portfolio Class 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 Permanent Portfolio Class based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Permanent Portfolio Class price pattern first instead of the macroeconomic environment surrounding Permanent Portfolio Class. By analyzing Permanent Portfolio'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 Permanent Portfolio'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 Permanent Portfolio specific price patterns or momentum indicators. Please read more on our technical analysis page.
Permanent Portfolio December 2, 2024 Technical Indicators
Most technical analysis of Permanent 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 Permanent from various momentum indicators to cycle indicators. When you analyze Permanent 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 | 0.172 | |||
| Market Risk Adjusted Performance | 0.4017 | |||
| Mean Deviation | 0.3976 | |||
| Semi Deviation | 0.3963 | |||
| Downside Deviation | 0.6437 | |||
| Coefficient Of Variation | 434.38 | |||
| Standard Deviation | 0.5459 | |||
| Variance | 0.298 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | 0.078 | |||
| Total Risk Alpha | 0.0245 | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.3917 | |||
| Maximum Drawdown | 2.66 | |||
| Value At Risk | (0.88) | |||
| Potential Upside | 0.9299 | |||
| Downside Variance | 0.4143 | |||
| Semi Variance | 0.1571 | |||
| Expected Short fall | (0.42) | |||
| Skewness | (0.61) | |||
| Kurtosis | 1.04 |
Other Information on Investing in Permanent Mutual Fund
Permanent Portfolio financial ratios help investors to determine whether Permanent 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 Permanent with respect to the benefits of owning Permanent Portfolio security.
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