Gunkul Engineering (Thailand) Technical Analysis
| GUNKUL Stock | THB 2.34 0.04 1.74% |
As of the 2nd of December, Gunkul Engineering retains the Risk Adjusted Performance of 0.0161, downside deviation of 2.5, and Market Risk Adjusted Performance of 0.1099. Gunkul Engineering technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices.
Gunkul Engineering Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Gunkul, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to GunkulGunkul |
Gunkul Engineering 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.
Gunkul Engineering Public Technical Analysis
The output start index for this execution was twenty-eight with a total number of output elements of thirty-three. 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 Gunkul Engineering Public volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Gunkul Engineering Public Trend Analysis
Use this graph to draw trend lines for Gunkul Engineering Public. You can use it to identify possible trend reversals for Gunkul Engineering 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 Gunkul Engineering price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Gunkul Engineering Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Gunkul Engineering Public applied against its price change over selected period. The best fit line has a slop of 0.0083 , which may suggest that Gunkul Engineering Public market price will keep on failing further. It has 122 observation points and a regression sum of squares at 2.6, which is the sum of squared deviations for the predicted Gunkul Engineering price change compared to its average price change.About Gunkul Engineering 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 Gunkul Engineering 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 Gunkul Engineering Public based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Gunkul Engineering Public price pattern first instead of the macroeconomic environment surrounding Gunkul Engineering Public. By analyzing Gunkul Engineering'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 Gunkul Engineering'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 Gunkul Engineering specific price patterns or momentum indicators. Please read more on our technical analysis page.
Gunkul Engineering December 2, 2024 Technical Indicators
Most technical analysis of Gunkul 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 Gunkul from various momentum indicators to cycle indicators. When you analyze Gunkul 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 | 0.0161 | |||
| Market Risk Adjusted Performance | 0.1099 | |||
| Mean Deviation | 1.91 | |||
| Semi Deviation | 2.11 | |||
| Downside Deviation | 2.5 | |||
| Coefficient Of Variation | 8270.37 | |||
| Standard Deviation | 2.47 | |||
| Variance | 6.1 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.39) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.0999 | |||
| Maximum Drawdown | 11.36 | |||
| Value At Risk | (4.17) | |||
| Potential Upside | 4.0 | |||
| Downside Variance | 6.27 | |||
| Semi Variance | 4.47 | |||
| Expected Short fall | (2.45) | |||
| Skewness | 0.3692 | |||
| Kurtosis | 0.2009 |
Complementary Tools for Gunkul Stock analysis
When running Gunkul Engineering's price analysis, check to measure Gunkul Engineering'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 Gunkul Engineering is operating at the current time. Most of Gunkul Engineering's value examination focuses on studying past and present price action to predict the probability of Gunkul Engineering's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Gunkul Engineering's price. Additionally, you may evaluate how the addition of Gunkul Engineering to your portfolios can decrease your overall portfolio volatility.
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