Scharf Balanced Opportunity Fund Technical Analysis
| LOGOX Fund | USD 38.68 0.06 0.16% |
As of the 1st of December, Scharf Balanced has the Risk Adjusted Performance of 0.1071, coefficient of variation of 663.59, and Semi Deviation of 0.2544. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Scharf Balanced Oppo, as well as the relationship between them.
Scharf Balanced Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Scharf, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ScharfScharf |
Scharf Balanced 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.
Scharf Balanced Oppo 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 Scharf Balanced Oppo volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Scharf Balanced Oppo Trend Analysis
Use this graph to draw trend lines for Scharf Balanced Opportunity. You can use it to identify possible trend reversals for Scharf Balanced 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 Scharf Balanced price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Scharf Balanced Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Scharf Balanced Opportunity applied against its price change over selected period. The best fit line has a slop of 0.02 , which means Scharf Balanced Opportunity will continue generating value for investors. It has 122 observation points and a regression sum of squares at 19.55, which is the sum of squared deviations for the predicted Scharf Balanced price change compared to its average price change.About Scharf Balanced 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 Scharf Balanced Opportunity 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 Scharf Balanced Opportunity based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Scharf Balanced Oppo price pattern first instead of the macroeconomic environment surrounding Scharf Balanced Oppo. By analyzing Scharf Balanced'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 Scharf Balanced'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 Scharf Balanced specific price patterns or momentum indicators. Please read more on our technical analysis page.
Scharf Balanced December 1, 2024 Technical Indicators
Most technical analysis of Scharf 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 Scharf from various momentum indicators to cycle indicators. When you analyze Scharf 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 | 0.1071 | |||
| Market Risk Adjusted Performance | 0.1282 | |||
| Mean Deviation | 0.3453 | |||
| Semi Deviation | 0.2544 | |||
| Downside Deviation | 0.3786 | |||
| Coefficient Of Variation | 663.59 | |||
| Standard Deviation | 0.4226 | |||
| Variance | 0.1786 | |||
| Information Ratio | (0.17) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.20) | |||
| Treynor Ratio | 0.1182 | |||
| Maximum Drawdown | 1.86 | |||
| Value At Risk | (0.68) | |||
| Potential Upside | 0.6844 | |||
| Downside Variance | 0.1433 | |||
| Semi Variance | 0.0647 | |||
| Expected Short fall | (0.41) | |||
| Skewness | 0.1381 | |||
| Kurtosis | 0.0897 |
Other Information on Investing in Scharf Mutual Fund
Scharf Balanced financial ratios help investors to determine whether Scharf 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 Scharf with respect to the benefits of owning Scharf Balanced security.
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