All Asset Fund Technical Analysis
| PAAIX Fund | USD 11.04 0.01 0.09% |
As of the 28th of December, All Asset shows the Mean Deviation of 0.2739, risk adjusted performance of (0.11), and Standard Deviation of 0.3743. In respect to fundamental indicators, the technical analysis model gives you tools to check existing technical drivers of All Asset, as well as the relationship between them.
All Asset Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as All, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AllAll |
All Asset 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.
All Asset Fund Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 All Asset Fund volatility. High ATR values indicate high volatility, and low values indicate low volatility.
All Asset Fund Trend Analysis
Use this graph to draw trend lines for All Asset Fund. You can use it to identify possible trend reversals for All Asset 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 All Asset price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.All Asset Best Fit Change Line
The following chart estimates an ordinary least squares regression model for All Asset Fund applied against its price change over selected period. The best fit line has a slop of 0.0024 , which may suggest that All Asset Fund market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.22, which is the sum of squared deviations for the predicted All Asset price change compared to its average price change.About All Asset 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 All Asset Fund 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 All Asset Fund based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on All Asset Fund price pattern first instead of the macroeconomic environment surrounding All Asset Fund. By analyzing All Asset'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 All Asset'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 All Asset specific price patterns or momentum indicators. Please read more on our technical analysis page.
All Asset December 28, 2024 Technical Indicators
Most technical analysis of All 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 All from various momentum indicators to cycle indicators. When you analyze All 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 | (0.11) | |||
| Market Risk Adjusted Performance | (0.53) | |||
| Mean Deviation | 0.2739 | |||
| Coefficient Of Variation | (781.14) | |||
| Standard Deviation | 0.3743 | |||
| Variance | 0.1401 | |||
| Information Ratio | (0.21) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.07) | |||
| Treynor Ratio | (0.54) | |||
| Maximum Drawdown | 2.24 | |||
| Value At Risk | (0.81) | |||
| Potential Upside | 0.4558 | |||
| Skewness | (0.03) | |||
| Kurtosis | 1.84 |
All Asset Fund One Year Return
Based on the recorded statements, All Asset Fund has an One Year Return of 4.4222%. This is 223.18% lower than that of the PIMCO family and significantly higher than that of the Tactical Allocation 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 All Mutual Fund
All Asset financial ratios help investors to determine whether All 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 All with respect to the benefits of owning All Asset security.
| Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
| Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
| Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
| Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity |