Union Insurance (Taiwan) Cycle Indicators Hilbert Transform Dominant Cycle Period
| 2816 Stock | TWD 31.90 0.10 0.31% |
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The output start index for this execution was thirty-two with a total number of output elements of twenty-nine. The Hilbert Transform - Dominant Cycle Period indicator is used to generate in-phase and quadrature components of Union Insurance price series in order to analyze variations of the instantaneous cycles.
Union Insurance Technical Analysis Modules
Most technical analysis of Union Insurance 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 Union from various momentum indicators to cycle indicators. When you analyze Union 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 Union Insurance 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 Union Insurance Co. We use our internally-developed statistical techniques to arrive at the intrinsic value of Union Insurance Co based on widely used predictive technical indicators. In general, we focus on analyzing Union Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Union Insurance's daily price indicators and compare them against related drivers, such as cycle indicators 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 Union Insurance's intrinsic value. In addition to deriving basic predictive indicators for Union Insurance, we also check how macroeconomic factors affect Union Insurance price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Union Insurance pair trading
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Union Insurance position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Union Insurance will appreciate offsetting losses from the drop in the long position's value.Union Insurance Pair Trading
Union Insurance Co Pair Trading Analysis
The ability to find closely correlated positions to Union Insurance could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Union Insurance when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Union Insurance - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Union Insurance Co to buy it.
The correlation of Union Insurance is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Union Insurance moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Union Insurance moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Union Insurance can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Union Stock Analysis
When running Union Insurance's price analysis, check to measure Union Insurance'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 Union Insurance is operating at the current time. Most of Union Insurance's value examination focuses on studying past and present price action to predict the probability of Union Insurance's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Union Insurance's price. Additionally, you may evaluate how the addition of Union Insurance to your portfolios can decrease your overall portfolio volatility.