Bny Mellon Intermediate Fund Statistic Functions Beta
| MPIBX Fund | USD 11.76 0.01 0.09% |
| 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 Bny Mellon Intermediate correlated with the market. If Beta is less than 0 Bny Mellon generally moves in the opposite direction as compared to the market. If Bny Mellon Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Bny Mellon Intermediate is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Bny Mellon is generally in the same direction as the market. If Beta > 1 Bny Mellon moves generally in the same direction as, but more than the movement of the benchmark.
Bny Mellon Technical Analysis Modules
Most technical analysis of Bny Mellon 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 Bny from various momentum indicators to cycle indicators. When you analyze Bny 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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| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Bny Mellon 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 Bny Mellon Intermediate. We use our internally-developed statistical techniques to arrive at the intrinsic value of Bny Mellon Intermediate based on widely used predictive technical indicators. In general, we focus on analyzing Bny Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Bny Mellon'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 Bny Mellon's intrinsic value. In addition to deriving basic predictive indicators for Bny Mellon, we also check how macroeconomic factors affect Bny Mellon 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 Bny Mellon 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, Bny Mellon's short interest history, or implied volatility extrapolated from Bny Mellon options trading.
Trending Themes
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Other Information on Investing in Bny Mutual Fund
Bny Mellon financial ratios help investors to determine whether Bny 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 Bny with respect to the benefits of owning Bny Mellon security.
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