Swan Defined Risk Fund Statistic Functions Beta
| SDACX Fund | USD 13.54 0.10 0.74% |
| Symbol |
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Beta measures systematic risk based on how returns on Swan Defined Risk correlated with the market. If Beta is less than 0 Swan Defined generally moves in the opposite direction as compared to the market. If Swan Defined Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Swan Defined Risk is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Swan Defined is generally in the same direction as the market. If Beta > 1 Swan Defined moves generally in the same direction as, but more than the movement of the benchmark.
Swan Defined Technical Analysis Modules
Most technical analysis of Swan Defined 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 other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Swan Defined Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Swan Defined Risk. We use our internally-developed statistical techniques to arrive at the intrinsic value of Swan Defined Risk based on widely used predictive technical indicators. In general, we focus on analyzing Swan Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Swan Defined's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Swan Defined's intrinsic value. In addition to deriving basic predictive indicators for Swan Defined, we also check how macroeconomic factors affect Swan Defined price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Swan Defined's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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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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