Hang Seng Bank Stock Statistic Functions Beta
| HSNGF Stock | USD 12.05 0.00 0.00% |
| Symbol |
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. The Beta measures systematic risk based on how returns on Hang Seng Bank correlated with the market. If Beta is less than 0 Hang Seng generally moves in the opposite direction as compared to the market. If Hang Seng Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Hang Seng Bank is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Hang Seng is generally in the same direction as the market. If Beta > 1 Hang Seng moves generally in the same direction as, but more than the movement of the benchmark.
Hang Seng Technical Analysis Modules
Most technical analysis of Hang Seng 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 Hang from various momentum indicators to cycle indicators. When you analyze Hang 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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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Hang Seng 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 Hang Seng Bank. We use our internally-developed statistical techniques to arrive at the intrinsic value of Hang Seng Bank based on widely used predictive technical indicators. In general, we focus on analyzing Hang Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Hang Seng'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 Hang Seng's intrinsic value. In addition to deriving basic predictive indicators for Hang Seng, we also check how macroeconomic factors affect Hang Seng 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 Hang Seng 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, Hang Seng's short interest history, or implied volatility extrapolated from Hang Seng options trading.
Trending Themes
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Other Information on Investing in Hang Pink Sheet
Hang Seng financial ratios help investors to determine whether Hang Pink Sheet 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 Hang with respect to the benefits of owning Hang Seng security.