WHOLE FOODS MKT Statistic Functions Beta
| 966837AE6 | 99.16 1.23 1.23% |
| Symbol |
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. The Beta measures systematic risk based on how returns on WHOLE FOODS MKT correlated with the market. If Beta is less than 0 WHOLE generally moves in the opposite direction as compared to the market. If WHOLE Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one WHOLE FOODS MKT is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of WHOLE is generally in the same direction as the market. If Beta > 1 WHOLE moves generally in the same direction as, but more than the movement of the benchmark.
WHOLE Technical Analysis Modules
Most technical analysis of WHOLE 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 WHOLE from various momentum indicators to cycle indicators. When you analyze WHOLE 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 | ||
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| Volatility Indicators | ||
| Volume Indicators |
About WHOLE 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 WHOLE FOODS MKT. We use our internally-developed statistical techniques to arrive at the intrinsic value of WHOLE FOODS MKT based on widely used predictive technical indicators. In general, we focus on analyzing WHOLE Bond price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build WHOLE'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 WHOLE's intrinsic value. In addition to deriving basic predictive indicators for WHOLE, we also check how macroeconomic factors affect WHOLE price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards WHOLE in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, WHOLE's short interest history, or implied volatility extrapolated from WHOLE options trading.
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 | |
 | Utilities Invested over 90 shares | |
 | Millennials Best Invested over 90 shares | |
 | Business Services Invested over 100 shares | |
 | Banking Invested over 30 shares | |
 | ESG Investing Invested few shares | |
 | Dividend Beast Invested over 60 shares | |
 | Chemicals Invested over 30 shares | |
 | Artificial Intelligence Invested few shares | |
 | Insurance Invested over 200 shares | |
Other Information on Investing in WHOLE Bond
WHOLE financial ratios help investors to determine whether WHOLE Bond 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 WHOLE with respect to the benefits of owning WHOLE security.