Emerald Growth Fund Statistic Functions Beta
| FGROX Fund | USD 29.65 0.33 1.13% |
| Symbol |
The output start index for this execution was four with a total number of output elements of fifty-seven. The Beta measures systematic risk based on how returns on Emerald Growth correlated with the market. If Beta is less than 0 Emerald Growth generally moves in the opposite direction as compared to the market. If Emerald Growth Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Emerald Growth is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Emerald Growth is generally in the same direction as the market. If Beta > 1 Emerald Growth moves generally in the same direction as, but more than the movement of the benchmark.
Emerald Growth Technical Analysis Modules
Most technical analysis of Emerald Growth 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 Emerald from various momentum indicators to cycle indicators. When you analyze Emerald 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 Emerald Growth 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 Emerald Growth Fund. We use our internally-developed statistical techniques to arrive at the intrinsic value of Emerald Growth Fund based on widely used predictive technical indicators. In general, we focus on analyzing Emerald Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Emerald Growth'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 Emerald Growth's intrinsic value. In addition to deriving basic predictive indicators for Emerald Growth, we also check how macroeconomic factors affect Emerald Growth price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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SectorsList of equity sectors categorizing publicly traded companies based on their primary business activities |
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Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | Macroaxis Index Invested over 90 shares | |
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Other Information on Investing in Emerald Mutual Fund
Emerald Growth financial ratios help investors to determine whether Emerald 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 Emerald with respect to the benefits of owning Emerald Growth security.
| Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
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| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |