Airports Of Thailand Stock Overlap Studies Simple Moving Average
| AIPUY Stock | USD 16.41 1.09 6.23% |
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Illegal number of arguments. The output start index for this execution was zero with a total number of output elements of zero. The Simple Moving Average indicator is calculated by adding the closing price of Airports for a given number of time periods and then dividing this total by the number of time periods. It is used to smooth out Airports of Thailand short-term fluctuations and highlight longer-term trends or cycles.
Airports Technical Analysis Modules
Most technical analysis of Airports 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 Airports from various momentum indicators to cycle indicators. When you analyze Airports 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 Airports 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 Airports of Thailand. We use our internally-developed statistical techniques to arrive at the intrinsic value of Airports of Thailand based on widely used predictive technical indicators. In general, we focus on analyzing Airports Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Airports's daily price indicators and compare them against related drivers, such as overlap studies 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 Airports's intrinsic value. In addition to deriving basic predictive indicators for Airports, we also check how macroeconomic factors affect Airports 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 Airports' 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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Airports of Thailand 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 Airports 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 Airports will appreciate offsetting losses from the drop in the long position's value.Airports Pair Trading
Airports of Thailand Pair Trading Analysis
The ability to find closely correlated positions to Airports could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Airports 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 Airports - 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 Airports of Thailand to buy it.
The correlation of Airports 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 Airports moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Airports of Thailand 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 Airports 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 Airports Pink Sheet Analysis
When running Airports' price analysis, check to measure Airports' 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 Airports is operating at the current time. Most of Airports' value examination focuses on studying past and present price action to predict the probability of Airports' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Airports' price. Additionally, you may evaluate how the addition of Airports to your portfolios can decrease your overall portfolio volatility.