Pear Tree Polaris Fund Statistic Functions Beta
| QBNAX Fund | USD 38.51 0.09 0.23% |
| Symbol |
The output start index for this execution was ten with a total number of output elements of fifty-one. The Beta measures systematic risk based on how returns on Pear Tree Polaris correlated with the market. If Beta is less than 0 Pear Tree generally moves in the opposite direction as compared to the market. If Pear Tree Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Pear Tree Polaris is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Pear Tree is generally in the same direction as the market. If Beta > 1 Pear Tree moves generally in the same direction as, but more than the movement of the benchmark.
Pear Tree Technical Analysis Modules
Most technical analysis of Pear Tree 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 Pear from various momentum indicators to cycle indicators. When you analyze Pear 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 Pear Tree 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 Pear Tree Polaris. We use our internally-developed statistical techniques to arrive at the intrinsic value of Pear Tree Polaris based on widely used predictive technical indicators. In general, we focus on analyzing Pear Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Pear Tree'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 Pear Tree's intrinsic value. In addition to deriving basic predictive indicators for Pear Tree, we also check how macroeconomic factors affect Pear Tree price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Other Information on Investing in Pear Mutual Fund
Pear Tree financial ratios help investors to determine whether Pear 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 Pear with respect to the benefits of owning Pear Tree security.
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