Eminent Luggage (Taiwan) Statistic Functions Beta
| 9950 Stock | TWD 14.80 0.40 2.78% |
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The output start index for this execution was ten with a total number of output elements of fifty-one. The Beta measures systematic risk based on how returns on Eminent Luggage correlated with the market. If Beta is less than 0 Eminent Luggage generally moves in the opposite direction as compared to the market. If Eminent Luggage Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Eminent Luggage is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Eminent Luggage is generally in the same direction as the market. If Beta > 1 Eminent Luggage moves generally in the same direction as, but more than the movement of the benchmark.
Eminent Luggage Technical Analysis Modules
Most technical analysis of Eminent Luggage 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 Eminent from various momentum indicators to cycle indicators. When you analyze Eminent 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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About Eminent Luggage 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 Eminent Luggage. We use our internally-developed statistical techniques to arrive at the intrinsic value of Eminent Luggage based on widely used predictive technical indicators. In general, we focus on analyzing Eminent Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Eminent Luggage'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 Eminent Luggage's intrinsic value. In addition to deriving basic predictive indicators for Eminent Luggage, we also check how macroeconomic factors affect Eminent Luggage 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 Eminent Luggage 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, Eminent Luggage's short interest history, or implied volatility extrapolated from Eminent Luggage options trading.
Trending Themes
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Additional Tools for Eminent Stock Analysis
When running Eminent Luggage's price analysis, check to measure Eminent Luggage'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 Eminent Luggage is operating at the current time. Most of Eminent Luggage's value examination focuses on studying past and present price action to predict the probability of Eminent Luggage's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Eminent Luggage's price. Additionally, you may evaluate how the addition of Eminent Luggage to your portfolios can decrease your overall portfolio volatility.