SF Sustainable (Switzerland) Statistic Functions Beta
| SFPF Fund | 125.00 1.00 0.79% |
| Symbol |
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Beta measures systematic risk based on how returns on SF Sustainable Property correlated with the market. If Beta is less than 0 SF Sustainable generally moves in the opposite direction as compared to the market. If SF Sustainable Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one SF Sustainable Property is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of SF Sustainable is generally in the same direction as the market. If Beta > 1 SF Sustainable moves generally in the same direction as, but more than the movement of the benchmark.
SF Sustainable Technical Analysis Modules
Most technical analysis of SF Sustainable 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 SFPF from various momentum indicators to cycle indicators. When you analyze SFPF 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 | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About SF Sustainable 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 SF Sustainable Property. We use our internally-developed statistical techniques to arrive at the intrinsic value of SF Sustainable Property based on widely used predictive technical indicators. In general, we focus on analyzing SFPF Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build SF Sustainable'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 SF Sustainable's intrinsic value. In addition to deriving basic predictive indicators for SF Sustainable, we also check how macroeconomic factors affect SF Sustainable price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Other Information on Investing in SFPF Fund
SF Sustainable financial ratios help investors to determine whether SFPF 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 SFPF with respect to the benefits of owning SF Sustainable security.
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