Airports (Thailand) Technical Analysis
| AOT Stock | THB 61.25 0.25 0.41% |
As of the 22nd of November, Airports shows the Risk Adjusted Performance of 0.065, coefficient of variation of 1228.58, and Semi Deviation of 0.8384. Airports of Thailand technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.
Airports Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Airports, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AirportsAirports |
Airports technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Airports of Thailand Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Airports of Thailand volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Airports of Thailand Trend Analysis
Use this graph to draw trend lines for Airports of Thailand. You can use it to identify possible trend reversals for Airports as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Airports price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Airports Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Airports of Thailand applied against its price change over selected period. The best fit line has a slop of 0.02 , which may suggest that Airports of Thailand market price will keep on failing further. It has 122 observation points and a regression sum of squares at 20.48, which is the sum of squared deviations for the predicted Airports price change compared to its average price change.About Airports Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Airports of Thailand on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Airports of Thailand based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Airports of Thailand price pattern first instead of the macroeconomic environment surrounding Airports of Thailand. By analyzing Airports's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Airports's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Airports specific price patterns or momentum indicators. Please read more on our technical analysis page.
Airports November 22, 2024 Technical Indicators
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 different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.065 | |||
| Mean Deviation | 0.8385 | |||
| Semi Deviation | 0.8384 | |||
| Downside Deviation | 1.01 | |||
| Coefficient Of Variation | 1228.58 | |||
| Standard Deviation | 1.08 | |||
| Variance | 1.17 | |||
| Information Ratio | (0.02) | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0.02) | |||
| Maximum Drawdown | 5.57 | |||
| Value At Risk | (1.59) | |||
| Potential Upside | 2.07 | |||
| Downside Variance | 1.02 | |||
| Semi Variance | 0.703 | |||
| Expected Short fall | (1.04) | |||
| Skewness | 0.4972 | |||
| Kurtosis | 0.7921 |
Airports November 22, 2024 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Airports stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 350,345 | ||
| Daily Balance Of Power | (0.25) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 61.50 | ||
| Day Typical Price | 61.42 | ||
| Price Action Indicator | (0.37) |
Other Information on Investing in Airports Stock
Airports financial ratios help investors to determine whether Airports Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Airports with respect to the benefits of owning Airports security.