Collegeadvantage 529 Savings Fund Statistic Functions Beta
| BZEIX Fund | USD 18.75 0.08 0.43% |
| Symbol |
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was one with a total number of output elements of sixty. The Beta measures systematic risk based on how returns on Collegeadvantage 529 correlated with the market. If Beta is less than 0 Collegeadvantage generally moves in the opposite direction as compared to the market. If Collegeadvantage Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Collegeadvantage 529 is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Collegeadvantage is generally in the same direction as the market. If Beta > 1 Collegeadvantage moves generally in the same direction as, but more than the movement of the benchmark.
Collegeadvantage Technical Analysis Modules
Most technical analysis of Collegeadvantage 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 Collegeadvantage from various momentum indicators to cycle indicators. When you analyze Collegeadvantage 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 Collegeadvantage 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 Collegeadvantage 529 Savings. We use our internally-developed statistical techniques to arrive at the intrinsic value of Collegeadvantage 529 Savings based on widely used predictive technical indicators. In general, we focus on analyzing Collegeadvantage Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Collegeadvantage'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 Collegeadvantage's intrinsic value. In addition to deriving basic predictive indicators for Collegeadvantage, we also check how macroeconomic factors affect Collegeadvantage 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 Collegeadvantage 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, Collegeadvantage's short interest history, or implied volatility extrapolated from Collegeadvantage 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. | USD Crypto Fund Invested less than 1 share | |
 | Macroaxis Index Invested over 10K shares | |
 | Manufacturing Invested over 40 shares | |
 | Momentum Invested over 40 shares |
Other Information on Investing in Collegeadvantage Mutual Fund
Collegeadvantage financial ratios help investors to determine whether Collegeadvantage 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 Collegeadvantage with respect to the benefits of owning Collegeadvantage security.
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data |