Scharf Etf Technical Analysis
| KAT Etf | 55.83 0.43 0.78% |
As of the 5th of February, Scharf ETF has the Semi Deviation of 0.5549, coefficient of variation of 1200.83, and Risk Adjusted Performance of 0.0596. Scharf ETF technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the etf's future prices.
Scharf ETF 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 ETF's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.The market value of Scharf ETF is measured differently than its book value, which is the value of Scharf that is recorded on the company's balance sheet. Investors also form their own opinion of Scharf ETF's value that differs from its market value or its book value, called intrinsic value, which is Scharf ETF's true underlying value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. Because Scharf ETF's market value can be influenced by many factors that don't directly affect Scharf ETF's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Understanding that Scharf ETF's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether Scharf ETF represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. Meanwhile, Scharf ETF's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.
Scharf ETF 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Scharf ETF's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Scharf ETF.
| 11/07/2025 |
| 02/05/2026 |
If you would invest 0.00 in Scharf ETF on November 7, 2025 and sell it all today you would earn a total of 0.00 from holding Scharf ETF or generate 0.0% return on investment in Scharf ETF over 90 days. Scharf ETF is related to or competes with Davis Select, Principal Value, Motley Fool, Motley Fool, Motley Fool, Ballast SmallMid, and Vanguard Value. Scharf ETF is entity of United States. It is traded as Etf on NYSE exchange. More
Scharf ETF Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Scharf ETF's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Scharf ETF upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6433 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 3.18 | |||
| Value At Risk | (0.95) | |||
| Potential Upside | 1.16 |
Scharf ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Scharf ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Scharf ETF's standard deviation. In reality, there are many statistical measures that can use Scharf ETF historical prices to predict the future Scharf ETF's volatility.| Risk Adjusted Performance | 0.0596 | |||
| Jensen Alpha | 0.0052 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.062 |
Scharf ETF February 5, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0596 | |||
| Market Risk Adjusted Performance | 0.072 | |||
| Mean Deviation | 0.4951 | |||
| Semi Deviation | 0.5549 | |||
| Downside Deviation | 0.6433 | |||
| Coefficient Of Variation | 1200.83 | |||
| Standard Deviation | 0.6336 | |||
| Variance | 0.4015 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | 0.0052 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.062 | |||
| Maximum Drawdown | 3.18 | |||
| Value At Risk | (0.95) | |||
| Potential Upside | 1.16 | |||
| Downside Variance | 0.4139 | |||
| Semi Variance | 0.3079 | |||
| Expected Short fall | (0.51) | |||
| Skewness | 0.0025 | |||
| Kurtosis | 0.1039 |
Scharf ETF Backtested Returns
Currently, Scharf ETF is very steady. Scharf ETF owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.12, which indicates the etf had a 0.12 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Scharf ETF, which you can use to evaluate the volatility of the etf. Please validate Scharf ETF's Coefficient Of Variation of 1200.83, risk adjusted performance of 0.0596, and Semi Deviation of 0.5549 to confirm if the risk estimate we provide is consistent with the expected return of 0.0778%. The entity has a beta of 0.69, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Scharf ETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding Scharf ETF is expected to be smaller as well.
Auto-correlation | 0.26 |
Poor predictability
Scharf ETF has poor predictability. Overlapping area represents the amount of predictability between Scharf ETF time series from 7th of November 2025 to 22nd of December 2025 and 22nd of December 2025 to 5th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Scharf ETF price movement. The serial correlation of 0.26 indicates that nearly 26.0% of current Scharf ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.26 | |
| Spearman Rank Test | 0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 0.24 |
Scharf ETF technical etf 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, etf market cycles, or different charting patterns.
Scharf ETF Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. 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 ETF volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Scharf ETF 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 ETF 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 ETF based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Scharf ETF price pattern first instead of the macroeconomic environment surrounding Scharf ETF. By analyzing Scharf ETF'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 ETF'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 ETF specific price patterns or momentum indicators. Please read more on our technical analysis page.
Scharf ETF February 5, 2026 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 | 0.0596 | |||
| Market Risk Adjusted Performance | 0.072 | |||
| Mean Deviation | 0.4951 | |||
| Semi Deviation | 0.5549 | |||
| Downside Deviation | 0.6433 | |||
| Coefficient Of Variation | 1200.83 | |||
| Standard Deviation | 0.6336 | |||
| Variance | 0.4015 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | 0.0052 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.062 | |||
| Maximum Drawdown | 3.18 | |||
| Value At Risk | (0.95) | |||
| Potential Upside | 1.16 | |||
| Downside Variance | 0.4139 | |||
| Semi Variance | 0.3079 | |||
| Expected Short fall | (0.51) | |||
| Skewness | 0.0025 | |||
| Kurtosis | 0.1039 |
Scharf ETF February 5, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Scharf stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 224.29 | ||
| Daily Balance Of Power | 1.79 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 55.88 | ||
| Day Typical Price | 55.86 | ||
| Price Action Indicator | 0.16 |
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Scharf ETF. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in nation. For more information on how to buy Scharf Etf please use our How to Invest in Scharf ETF guide.You can also try the Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
The market value of Scharf ETF is measured differently than its book value, which is the value of Scharf that is recorded on the company's balance sheet. Investors also form their own opinion of Scharf ETF's value that differs from its market value or its book value, called intrinsic value, which is Scharf ETF's true underlying value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. Because Scharf ETF's market value can be influenced by many factors that don't directly affect Scharf ETF's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Understanding that Scharf ETF's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether Scharf ETF represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. Meanwhile, Scharf ETF's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.