BNY Mellon (Germany) Statistic Functions Beta
| FH7W Fund | EUR 1.67 0.01 0.60% |
| Symbol |
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Beta measures systematic risk based on how returns on BNY Mellon Global 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 Global 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 | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| 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 Global. We use our internally-developed statistical techniques to arrive at the intrinsic value of BNY Mellon Global based on widely used predictive technical indicators. In general, we focus on analyzing BNY 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.
Be your own money manager
As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.Generate Optimal Portfolios
Align your risk and return expectations
Other Information on Investing in BNY Fund
BNY Mellon financial ratios help investors to determine whether BNY 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.
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
| Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
| Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital |