Growth Income Fund Technical Analysis
| USGIX Fund | USD 25.78 0.00 0.00% |
As of the 17th of April 2024, Growth Income retains the Risk Adjusted Performance of 0.1663, downside deviation of 0.5856, and Market Risk Adjusted Performance of (2.64). Concerning fundamental indicators, the technical analysis model lets you check existing technical drivers of Growth Income Fund, as well as the relationship between them. Simply put, you can use this information to find out if the entity will indeed mirror its model of historical price patterns, or the prices will eventually revert. We were able to collect and analyze data for nineteen technical drivers for Growth Me Fund, which can be compared to its competitors. Please check out Growth Me Fund variance and potential upside to decide if Growth Income is priced fairly, providing market reflects its last-minute price of 25.78 per share.
Growth Income Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Growth, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to GrowthGrowth |
Growth Income 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.
Growth Me Fund Technical Analysis
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Growth Me Fund Trend Analysis
Use this graph to draw trend lines for Growth Income Fund. You can use it to identify possible trend reversals for Growth Income 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 Growth Income price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Growth Income Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Growth Income Fund applied against its price change over selected period. The best fit line has a slop of 0.05 , which means Growth Income Fund will continue generating value for investors. It has 122 observation points and a regression sum of squares at 88.3, which is the sum of squared deviations for the predicted Growth Income price change compared to its average price change.About Growth Income 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 Growth Income 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 Growth Income Fund based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Growth Me Fund price pattern first instead of the macroeconomic environment surrounding Growth Me Fund. By analyzing Growth Income'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 Growth Income'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 Growth Income specific price patterns or momentum indicators. Please read more on our technical analysis page.
Growth Income April 17, 2024 Technical Indicators
Most technical analysis of Growth 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 Growth from various momentum indicators to cycle indicators. When you analyze Growth 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 | 0.1663 | |||
| Market Risk Adjusted Performance | (2.64) | |||
| Mean Deviation | 0.5077 | |||
| Semi Deviation | 0.2371 | |||
| Downside Deviation | 0.5856 | |||
| Coefficient Of Variation | 379.69 | |||
| Standard Deviation | 0.6473 | |||
| Variance | 0.419 | |||
| Information Ratio | 0.1737 | |||
| Jensen Alpha | 0.1634 | |||
| Total Risk Alpha | 0.1111 | |||
| Sortino Ratio | 0.192 | |||
| Treynor Ratio | (2.65) | |||
| Maximum Drawdown | 2.95 | |||
| Value At Risk | (0.80) | |||
| Potential Upside | 1.14 | |||
| Downside Variance | 0.343 | |||
| Semi Variance | 0.0562 | |||
| Expected Short fall | (0.61) | |||
| Skewness | 0.1284 | |||
| Kurtosis | 0.5047 |
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any mutual fund could be tightly coupled with the direction of predictive economic indicators such as signals in gross domestic product. You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.