Uol Group Ltd Stock Price Transform Average Price
| UOLGY Stock | USD 16.59 0.09 0.55% |
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The output start index for this execution was zero with a total number of output elements of sixty-one. UOL Group Average Price is the average of the sum of open, high, low and close daily prices of a bar. It can be used to smooth an indicator that normally takes just the closing price as input.
UOL Group Technical Analysis Modules
Most technical analysis of UOL Group 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 UOL from various momentum indicators to cycle indicators. When you analyze UOL 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 UOL Group 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 UOL Group Ltd. We use our internally-developed statistical techniques to arrive at the intrinsic value of UOL Group Ltd based on widely used predictive technical indicators. In general, we focus on analyzing UOL Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build UOL Group's daily price indicators and compare them against related drivers, such as price transform 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 UOL Group's intrinsic value. In addition to deriving basic predictive indicators for UOL Group, we also check how macroeconomic factors affect UOL Group price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of UOL Group's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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UOL Group 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 UOL Group 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 UOL Group will appreciate offsetting losses from the drop in the long position's value.UOL Group Pair Trading
UOL Group Ltd Pair Trading Analysis
The ability to find closely correlated positions to UOL Group could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace UOL Group 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 UOL Group - 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 UOL Group Ltd to buy it.
The correlation of UOL Group 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 UOL Group moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if UOL Group 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 UOL Group 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.Check out World Market Map to better understand how to build diversified portfolios, which includes a position in UOL Group Ltd. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in price. Note that the UOL Group information on this page should be used as a complementary analysis to other UOL Group's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
Complementary Tools for UOL Pink Sheet analysis
When running UOL Group's price analysis, check to measure UOL Group'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 UOL Group is operating at the current time. Most of UOL Group's value examination focuses on studying past and present price action to predict the probability of UOL Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move UOL Group's price. Additionally, you may evaluate how the addition of UOL Group to your portfolios can decrease your overall portfolio volatility.
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