Hong Kong Land Stock Statistic Functions Beta
| HNGKY Stock | USD 23.53 0.13 0.56% |
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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 Hong Kong Land correlated with the market. If Beta is less than 0 Hong Kong generally moves in the opposite direction as compared to the market. If Hong Kong Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Hong Kong Land is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Hong Kong is generally in the same direction as the market. If Beta > 1 Hong Kong moves generally in the same direction as, but more than the movement of the benchmark.
Hong Kong Technical Analysis Modules
Most technical analysis of Hong Kong 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 Hong from various momentum indicators to cycle indicators. When you analyze Hong 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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| Price Transform | ||
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| Volume Indicators |
About Hong Kong 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 Hong Kong Land. We use our internally-developed statistical techniques to arrive at the intrinsic value of Hong Kong Land based on widely used predictive technical indicators. In general, we focus on analyzing Hong Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Hong Kong'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 Hong Kong's intrinsic value. In addition to deriving basic predictive indicators for Hong Kong, we also check how macroeconomic factors affect Hong Kong 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 Hong Kong 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, Hong Kong's short interest history, or implied volatility extrapolated from Hong Kong options trading.
Trending Themes
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Additional Tools for Hong Pink Sheet Analysis
When running Hong Kong's price analysis, check to measure Hong Kong's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Hong Kong is operating at the current time. Most of Hong Kong's value examination focuses on studying past and present price action to predict the probability of Hong Kong's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hong Kong's price. Additionally, you may evaluate how the addition of Hong Kong to your portfolios can decrease your overall portfolio volatility.