SCG PACKAGING (Thailand) Technical Analysis
| SCGP-R Stock | THB 22.36 0.45 1.97% |
As of the 30th of November, SCG PACKAGING has the Risk Adjusted Performance of (0.10), market risk adjusted performance of (2.04), and Standard Deviation of 4.76. Our technical analysis interface makes it possible for you to check helpful technical drivers of SCG PACKAGING PCL, as well as the relationship between them.
SCG PACKAGING Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SCG, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SCGSCG |
SCG PACKAGING 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.
SCG PACKAGING PCL Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-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 SCG PACKAGING PCL volatility. High ATR values indicate high volatility, and low values indicate low volatility.
SCG PACKAGING PCL Trend Analysis
Use this graph to draw trend lines for SCG PACKAGING PCL NVDR. You can use it to identify possible trend reversals for SCG PACKAGING 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 SCG PACKAGING price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.SCG PACKAGING Best Fit Change Line
The following chart estimates an ordinary least squares regression model for SCG PACKAGING PCL NVDR applied against its price change over selected period. The best fit line has a slop of 0.2 , which may suggest that SCG PACKAGING PCL NVDR market price will keep on failing further. It has 122 observation points and a regression sum of squares at 1464.56, which is the sum of squared deviations for the predicted SCG PACKAGING price change compared to its average price change.About SCG PACKAGING 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 SCG PACKAGING PCL NVDR 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 SCG PACKAGING PCL NVDR based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on SCG PACKAGING PCL price pattern first instead of the macroeconomic environment surrounding SCG PACKAGING PCL. By analyzing SCG PACKAGING'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 SCG PACKAGING'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 SCG PACKAGING specific price patterns or momentum indicators. Please read more on our technical analysis page.
SCG PACKAGING November 30, 2024 Technical Indicators
Most technical analysis of SCG 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 SCG from various momentum indicators to cycle indicators. When you analyze SCG 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 | (0.10) | |||
| Market Risk Adjusted Performance | (2.04) | |||
| Mean Deviation | 1.32 | |||
| Coefficient Of Variation | (680.41) | |||
| Standard Deviation | 4.76 | |||
| Variance | 22.69 | |||
| Information Ratio | (0.18) | |||
| Jensen Alpha | (0.75) | |||
| Total Risk Alpha | (1.51) | |||
| Treynor Ratio | (2.05) | |||
| Maximum Drawdown | 38.48 | |||
| Value At Risk | (1.97) | |||
| Skewness | (7.91) | |||
| Kurtosis | 63.6 |
Complementary Tools for SCG Stock analysis
When running SCG PACKAGING's price analysis, check to measure SCG PACKAGING'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 SCG PACKAGING is operating at the current time. Most of SCG PACKAGING's value examination focuses on studying past and present price action to predict the probability of SCG PACKAGING's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SCG PACKAGING's price. Additionally, you may evaluate how the addition of SCG PACKAGING to your portfolios can decrease your overall portfolio volatility.
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