Science Technology Fund Statistic Functions Beta
| USTCX Fund | USD 28.84 0.08 0.28% |
| Symbol |
The output start index for this execution was fifteen with a total number of output elements of fourty-six. The Beta measures systematic risk based on how returns on Science Technology correlated with the market. If Beta is less than 0 Science Technology generally moves in the opposite direction as compared to the market. If Science Technology Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Science Technology is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Science Technology is generally in the same direction as the market. If Beta > 1 Science Technology moves generally in the same direction as, but more than the movement of the benchmark.
Science Technology Technical Analysis Modules
Most technical analysis of Science Technology 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 Science from various momentum indicators to cycle indicators. When you analyze Science 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 Science Technology 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 Science Technology Fund. We use our internally-developed statistical techniques to arrive at the intrinsic value of Science Technology Fund based on widely used predictive technical indicators. In general, we focus on analyzing Science Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Science Technology'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 Science Technology's intrinsic value. In addition to deriving basic predictive indicators for Science Technology, we also check how macroeconomic factors affect Science Technology 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 Science Technology'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.
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 Science Technology 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, Science Technology's short interest history, or implied volatility extrapolated from Science Technology 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. | Power Assets Invested over 200 shares | |
 | Driverless Cars Invested over 50 shares | |
 | SRI Sustainable Growth Invested few shares | |
 | Business Services Invested few shares | |
 | FinTech Invested over 40 shares | |
 | Banking Invested over 20 shares | |
 | Artificial Intelligence Invested few shares | |
 | Real Estate ETFs Invested over 100 shares | |
 | Macroaxis Index Invested over 500 shares | |
| Sector ETFs Invested over 100 shares | |
| Information Technology ETFs Invested few shares | |
 | Investor Favorites Invested over 60 shares | |
Other Information on Investing in Science Mutual Fund
Science Technology financial ratios help investors to determine whether Science 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 Science with respect to the benefits of owning Science Technology security.
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