Lsv Managed Volatility Fund Technical Analysis
| LVAMX Fund | USD 10.93 0.04 0.37% |
As of the 24th of April, Lsv Us secures the Risk Adjusted Performance of 0.0728, mean deviation of 0.424, and Downside Deviation of 0.6322. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Lsv Managed Volatility, 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 have collected data for nineteen technical drivers for Lsv Us, which can be compared to its peers in the industry. Please verify Lsv Managed Volatility jensen alpha and semi variance to decide if Lsv Managed Volatility is priced some-what accurately, providing market reflects its recent price of 10.93 per share.
Lsv Us Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Lsv, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to LsvLsv |
Lsv Us 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.
Lsv Managed Volatility 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 Lsv Managed Volatility volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Lsv Managed Volatility Trend Analysis
Use this graph to draw trend lines for Lsv Managed Volatility. You can use it to identify possible trend reversals for Lsv Us 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 Lsv Us price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Lsv Us Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Lsv Managed Volatility applied against its price change over selected period. The best fit line has a slop of 0.01 , which means Lsv Managed Volatility will continue generating value for investors. It has 122 observation points and a regression sum of squares at 3.54, which is the sum of squared deviations for the predicted Lsv Us price change compared to its average price change.About Lsv Us 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 Lsv Managed Volatility 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 Lsv Managed Volatility based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Lsv Managed Volatility price pattern first instead of the macroeconomic environment surrounding Lsv Managed Volatility. By analyzing Lsv Us'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 Lsv Us'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 Lsv Us specific price patterns or momentum indicators. Please read more on our technical analysis page.
Lsv Us April 24, 2024 Technical Indicators
Most technical analysis of Lsv 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 Lsv from various momentum indicators to cycle indicators. When you analyze Lsv 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 | 0.0728 | |||
| Market Risk Adjusted Performance | 0.0826 | |||
| Mean Deviation | 0.424 | |||
| Semi Deviation | 0.5223 | |||
| Downside Deviation | 0.6322 | |||
| Coefficient Of Variation | 840.47 | |||
| Standard Deviation | 0.548 | |||
| Variance | 0.3003 | |||
| Information Ratio | (0.05) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0726 | |||
| Maximum Drawdown | 2.61 | |||
| Value At Risk | (0.99) | |||
| Potential Upside | 0.9488 | |||
| Downside Variance | 0.3996 | |||
| Semi Variance | 0.2728 | |||
| Expected Short fall | (0.43) | |||
| Skewness | (0.37) | |||
| Kurtosis | 0.2035 |
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Lsv Managed Volatility. 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 population. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.