Scharf Fund Retail Fund Technical Analysis
| LOGRX Fund | USD 51.37 0.00 0.00% |
As of the 19th of January, Scharf Fund has the Coefficient Of Variation of (786.42), risk adjusted performance of (0.11), and Variance of 0.6546. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Scharf Fund Retail, as well as the relationship between them.
Scharf Fund 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 Fund 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 Fund Retail 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 Fund Retail volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Scharf Fund Retail Trend Analysis
Use this graph to draw trend lines for Scharf Fund Retail. You can use it to identify possible trend reversals for Scharf Fund 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 Fund price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Scharf Fund Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Scharf Fund Retail applied against its price change over selected period. The best fit line has a slop of 0.09 , which may suggest that Scharf Fund Retail market price will keep on failing further. It has 122 observation points and a regression sum of squares at 283.46, which is the sum of squared deviations for the predicted Scharf Fund price change compared to its average price change.About Scharf Fund 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 Fund Retail 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 Fund Retail based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Scharf Fund Retail price pattern first instead of the macroeconomic environment surrounding Scharf Fund Retail. By analyzing Scharf Fund'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 Fund'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 Fund specific price patterns or momentum indicators. Please read more on our technical analysis page.
Scharf Fund January 19, 2025 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 | (0.11) | |||
| Market Risk Adjusted Performance | (0.55) | |||
| Mean Deviation | 0.4846 | |||
| Coefficient Of Variation | (786.42) | |||
| Standard Deviation | 0.8091 | |||
| Variance | 0.6546 | |||
| Information Ratio | (0.16) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.13) | |||
| Treynor Ratio | (0.56) | |||
| Maximum Drawdown | 6.77 | |||
| Value At Risk | (0.90) | |||
| Potential Upside | 0.8658 | |||
| Skewness | (2.19) | |||
| Kurtosis | 13.55 |
Other Information on Investing in Scharf Mutual Fund
Scharf Fund 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 Fund security.
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