Singha Estate (Thailand) Technical Analysis
| S-R Stock | THB 0.91 0.01 1.11% |
As of the 23rd of December, Singha Estate has the Risk Adjusted Performance of (0.07), variance of 19.37, and Coefficient Of Variation of (1,023). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Singha Estate Public, as well as the relationship between them.
Singha Estate Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Singha, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SinghaSingha |
Singha Estate 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.
Singha Estate Public Technical Analysis
The output start index for this execution was twenty with a total number of output elements of fourty-one. 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 Singha Estate Public volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Singha Estate Public Trend Analysis
Use this graph to draw trend lines for Singha Estate Public. You can use it to identify possible trend reversals for Singha Estate 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 Singha Estate price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Singha Estate Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Singha Estate Public applied against its price change over selected period. The best fit line has a slop of 0.0083 , which may suggest that Singha Estate Public market price will keep on failing further. It has 122 observation points and a regression sum of squares at 2.61, which is the sum of squared deviations for the predicted Singha Estate price change compared to its average price change.About Singha Estate 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 Singha Estate Public 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 Singha Estate Public based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Singha Estate Public price pattern first instead of the macroeconomic environment surrounding Singha Estate Public. By analyzing Singha Estate'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 Singha Estate'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 Singha Estate specific price patterns or momentum indicators. Please read more on our technical analysis page.
Singha Estate December 23, 2024 Technical Indicators
Most technical analysis of Singha 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 Singha from various momentum indicators to cycle indicators. When you analyze Singha 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 | (0.07) | |||
| Market Risk Adjusted Performance | 1.31 | |||
| Mean Deviation | 1.38 | |||
| Coefficient Of Variation | (1,023) | |||
| Standard Deviation | 4.4 | |||
| Variance | 19.37 | |||
| Information Ratio | (0.11) | |||
| Jensen Alpha | (0.43) | |||
| Total Risk Alpha | (0.56) | |||
| Treynor Ratio | 1.3 | |||
| Maximum Drawdown | 33.59 | |||
| Value At Risk | (2.17) | |||
| Potential Upside | 2.17 | |||
| Skewness | (6.65) | |||
| Kurtosis | 51.52 |
Other Information on Investing in Singha Stock
Singha Estate financial ratios help investors to determine whether Singha 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 Singha with respect to the benefits of owning Singha Estate security.