Pimco High Income Fund Technical Analysis
| PHK Fund | USD 5.01 0.01 0.20% |
As of the 26th of November, Pimco High holds the Risk Adjusted Performance of 0.1395, semi deviation of 0.4186, and Coefficient Of Variation of 532.01. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Pimco High, as well as the relationship between them.
Pimco High Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Pimco, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PimcoPimco |
Pimco High technical 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.
Pimco High Income 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 Pimco High Income volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Pimco High Income Trend Analysis
Use this graph to draw trend lines for Pimco High Income. You can use it to identify possible trend reversals for Pimco High 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 Pimco High price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Pimco High Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Pimco High Income applied against its price change over selected period. The best fit line has a slop of 0 , which may imply that Pimco High Income will maintain its good market sentiment and make money for investors. It has 122 observation points and a regression sum of squares at 0.56, which is the sum of squared deviations for the predicted Pimco High price change compared to its average price change.About Pimco High 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 Pimco High Income 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 Pimco High Income based on its technical analysis. In general, a bottom-up approach, as applied to this fund, focuses on Pimco High Income price pattern first instead of the macroeconomic environment surrounding Pimco High Income. By analyzing Pimco High'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 Pimco High'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 Pimco High specific price patterns or momentum indicators. Please read more on our technical analysis page.
Pimco High November 26, 2024 Technical Indicators
Most technical analysis of Pimco 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 Pimco from various momentum indicators to cycle indicators. When you analyze Pimco 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 | 0.1395 | |||
| Market Risk Adjusted Performance | 1.57 | |||
| Mean Deviation | 0.3692 | |||
| Semi Deviation | 0.4186 | |||
| Downside Deviation | 0.6603 | |||
| Coefficient Of Variation | 532.01 | |||
| Standard Deviation | 0.5399 | |||
| Variance | 0.2915 | |||
| Information Ratio | (0.05) | |||
| Jensen Alpha | 0.0845 | |||
| Total Risk Alpha | 0.0077 | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 1.56 | |||
| Maximum Drawdown | 3.0 | |||
| Value At Risk | (0.80) | |||
| Potential Upside | 0.8065 | |||
| Downside Variance | 0.436 | |||
| Semi Variance | 0.1752 | |||
| Expected Short fall | (0.43) | |||
| Skewness | (0.15) | |||
| Kurtosis | 2.97 |
Other Information on Investing in Pimco Fund
Pimco High financial ratios help investors to determine whether Pimco 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 Pimco with respect to the benefits of owning Pimco High security.
| Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Stocks Directory Find actively traded stocks across global markets | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation |