Fuller Thaler Behavioral Fund Technical Analysis
Fuller Thaler Behavioral technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity's future prices. Put another way, you can use this information to find out if the entity will indeed mirror its model of historical prices and volume momentum, or the prices will eventually revert. We were able to interpolate zero technical drivers for Fuller Thaler Behavioral, which can be compared to its peers.
Fuller Thaler Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Fuller, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FullerFuller |
Fuller Thaler 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.
Fuller Thaler Behavioral Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Fuller Thaler Behavioral volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Fuller Thaler Behavioral Trend Analysis
Use this graph to draw trend lines for Fuller Thaler Behavioral. You can use it to identify possible trend reversals for Fuller Thaler 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 Fuller Thaler price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Fuller Thaler Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Fuller Thaler Behavioral applied against its price change over selected period. The best fit line has a slop of 0.02 , which means Fuller Thaler Behavioral will continue generating value for investors. It has 122 observation points and a regression sum of squares at 20.88, which is the sum of squared deviations for the predicted Fuller Thaler price change compared to its average price change.About Fuller Thaler 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 Fuller Thaler Behavioral 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 Fuller Thaler Behavioral based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Fuller Thaler Behavioral price pattern first instead of the macroeconomic environment surrounding Fuller Thaler Behavioral. By analyzing Fuller Thaler'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 Fuller Thaler'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 Fuller Thaler specific price patterns or momentum indicators. Please read more on our technical analysis page.
Fuller Thaler April 24, 2024 Technical Indicators
Most technical analysis of Fuller 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 Fuller from various momentum indicators to cycle indicators. When you analyze Fuller 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 | 0.0327 | |||
| Market Risk Adjusted Performance | 0.1968 | |||
| Mean Deviation | 0.6199 | |||
| Semi Deviation | 0.8954 | |||
| Downside Deviation | 0.9947 | |||
| Coefficient Of Variation | 2050.23 | |||
| Standard Deviation | 0.8123 | |||
| Variance | 0.6599 | |||
| Information Ratio | (0.07) | |||
| Jensen Alpha | 0.0161 | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.1868 | |||
| Maximum Drawdown | 3.73 | |||
| Value At Risk | (1.62) | |||
| Potential Upside | 1.18 | |||
| Downside Variance | 0.9894 | |||
| Semi Variance | 0.8018 | |||
| Expected Short fall | (0.58) | |||
| Skewness | (0.54) | |||
| Kurtosis | 0.0883 |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Fuller Thaler Behavioral. 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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.