Loomis Sayles Growth Fund Technical Analysis
| LGRNX Fund | USD 24.93 0.21 0.84% |
As of the 18th of April 2024, Loomis Sayles secures the Risk Adjusted Performance of 0.0658, downside deviation of 0.9022, and Mean Deviation of 0.7482. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Loomis Sayles Growth, as well as the relationship between them. Strictly speaking, you can use this information to find out if the fund will indeed mirror its model of past prices, or the prices will eventually revert. We were able to interpolate nineteen technical drivers for Loomis Sayles, which can be compared to its peers in the industry. Please verify Loomis Sayles Growth standard deviation, value at risk, as well as the relationship between the Value At Risk and kurtosis to decide if Loomis Sayles Growth is priced some-what accurately, providing market reflects its recent price of 24.93 per share.
Loomis Sayles Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Loomis, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to LoomisLoomis |
Loomis Sayles 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.
Loomis Sayles Growth Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 Loomis Sayles Growth volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Loomis Sayles Growth Trend Analysis
Use this graph to draw trend lines for Loomis Sayles Growth. You can use it to identify possible trend reversals for Loomis Sayles 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 Loomis Sayles price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Loomis Sayles Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Loomis Sayles Growth applied against its price change over selected period. The best fit line has a slop of 0.03 , which means Loomis Sayles Growth will continue generating value for investors. It has 122 observation points and a regression sum of squares at 29.15, which is the sum of squared deviations for the predicted Loomis Sayles price change compared to its average price change.About Loomis Sayles 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 Loomis Sayles Growth 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 Loomis Sayles Growth based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Loomis Sayles Growth price pattern first instead of the macroeconomic environment surrounding Loomis Sayles Growth. By analyzing Loomis Sayles'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 Loomis Sayles'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 Loomis Sayles specific price patterns or momentum indicators. Please read more on our technical analysis page.
Loomis Sayles April 18, 2024 Technical Indicators
Most technical analysis of Loomis 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 Loomis from various momentum indicators to cycle indicators. When you analyze Loomis 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.
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| Risk Adjusted Performance | 0.0658 | |||
| Market Risk Adjusted Performance | 0.0905 | |||
| Mean Deviation | 0.7482 | |||
| Semi Deviation | 0.7113 | |||
| Downside Deviation | 0.9022 | |||
| Coefficient Of Variation | 1014.18 | |||
| Standard Deviation | 0.9896 | |||
| Variance | 0.9794 | |||
| Information Ratio | 0.0425 | |||
| Jensen Alpha | 0.0381 | |||
| Total Risk Alpha | 0.0162 | |||
| Sortino Ratio | 0.0467 | |||
| Treynor Ratio | 0.0805 | |||
| Maximum Drawdown | 4.87 | |||
| Value At Risk | (1.59) | |||
| Potential Upside | 1.65 | |||
| Downside Variance | 0.814 | |||
| Semi Variance | 0.5059 | |||
| Expected Short fall | (0.84) | |||
| Skewness | 0.3858 | |||
| Kurtosis | 0.3271 |
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Loomis Sayles Growth. 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 board of governors. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.