Bank Net (Indonesia) Statistic Functions Beta
| BANK Stock | IDR 800.00 5.00 0.62% |
| 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 Bank Net Indonesia correlated with the market. If Beta is less than 0 Bank Net generally moves in the opposite direction as compared to the market. If Bank Net Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Bank Net Indonesia is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Bank Net is generally in the same direction as the market. If Beta > 1 Bank Net moves generally in the same direction as, but more than the movement of the benchmark.
Bank Net Technical Analysis Modules
Most technical analysis of Bank Net 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 Bank from various momentum indicators to cycle indicators. When you analyze Bank 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 Bank Net 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 Bank Net Indonesia. We use our internally-developed statistical techniques to arrive at the intrinsic value of Bank Net Indonesia based on widely used predictive technical indicators. In general, we focus on analyzing Bank Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Bank Net'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 Bank Net's intrinsic value. In addition to deriving basic predictive indicators for Bank Net, we also check how macroeconomic factors affect Bank Net 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 Bank Net 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, Bank Net's short interest history, or implied volatility extrapolated from Bank Net 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. | FinTech Invested over 40 shares | |
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Other Information on Investing in Bank Stock
Bank Net financial ratios help investors to determine whether Bank Stock 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 Bank with respect to the benefits of owning Bank Net security.