Swan Defined Risk Fund Technical Analysis
| SDCCX Fund | USD 12.87 0.10 0.77% |
As of the 21st of December, Swan Defined has the Risk Adjusted Performance of 0.0099, coefficient of variation of 9119.67, and Semi Deviation of 0.8296. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Swan Defined Risk, as well as the relationship between them.
Swan Defined Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Swan, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SwanSwan |
Swan Defined 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.
Swan Defined Risk Technical Analysis
The output start index for this execution was twenty with a total number of output elements of fourty-one. 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 Swan Defined Risk volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Swan Defined Risk Trend Analysis
Use this graph to draw trend lines for Swan Defined Risk. You can use it to identify possible trend reversals for Swan Defined 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 Swan Defined price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Swan Defined Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Swan Defined Risk applied against its price change over selected period. The best fit line has a slop of 0.01 , which means Swan Defined Risk will continue generating value for investors. It has 122 observation points and a regression sum of squares at 6.13, which is the sum of squared deviations for the predicted Swan Defined price change compared to its average price change.About Swan Defined 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 Swan Defined Risk 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 Swan Defined Risk based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Swan Defined Risk price pattern first instead of the macroeconomic environment surrounding Swan Defined Risk. By analyzing Swan Defined'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 Swan Defined'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 Swan Defined specific price patterns or momentum indicators. Please read more on our technical analysis page.
Swan Defined December 21, 2024 Technical Indicators
Most technical analysis of Swan 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 Swan from various momentum indicators to cycle indicators. When you analyze Swan 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 | 0.0099 | |||
| Market Risk Adjusted Performance | 0.0094 | |||
| Mean Deviation | 0.5881 | |||
| Semi Deviation | 0.8296 | |||
| Downside Deviation | 0.8753 | |||
| Coefficient Of Variation | 9119.67 | |||
| Standard Deviation | 0.9032 | |||
| Variance | 0.8158 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | (0.0006) | |||
| Maximum Drawdown | 7.57 | |||
| Value At Risk | (1.09) | |||
| Potential Upside | 1.11 | |||
| Downside Variance | 0.7661 | |||
| Semi Variance | 0.6883 | |||
| Expected Short fall | (0.64) | |||
| Skewness | 0.5275 | |||
| Kurtosis | 8.16 |
Other Information on Investing in Swan Mutual Fund
Swan Defined financial ratios help investors to determine whether Swan 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 Swan with respect to the benefits of owning Swan Defined security.
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