Princeton Premium Fund Statistic Functions Beta
| PPFIX Fund | USD 11.79 0.01 0.08% |
| 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 Princeton Premium correlated with the market. If Beta is less than 0 Princeton Premium generally moves in the opposite direction as compared to the market. If Princeton Premium Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Princeton Premium is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Princeton Premium is generally in the same direction as the market. If Beta > 1 Princeton Premium moves generally in the same direction as, but more than the movement of the benchmark.
Princeton Premium Technical Analysis Modules
Most technical analysis of Princeton Premium 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 Princeton from various momentum indicators to cycle indicators. When you analyze Princeton 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 Princeton Premium 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 Princeton Premium. We use our internally-developed statistical techniques to arrive at the intrinsic value of Princeton Premium based on widely used predictive technical indicators. In general, we focus on analyzing Princeton Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Princeton Premium'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 Princeton Premium's intrinsic value. In addition to deriving basic predictive indicators for Princeton Premium, we also check how macroeconomic factors affect Princeton Premium price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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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. | Baby Boomer Prospects Invested over 40 shares | |
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Other Information on Investing in Princeton Mutual Fund
Princeton Premium financial ratios help investors to determine whether Princeton 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 Princeton with respect to the benefits of owning Princeton Premium security.
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