Electricity Generating (Thailand) Technical Analysis
| EGCO Stock | THB 121.50 2.00 1.62% |
As of the 15th of December 2024, Electricity Generating shows the Downside Deviation of 1.33, coefficient of variation of 5452.32, and Mean Deviation of 0.9366. Electricity Generating technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices.
Electricity Generating Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Electricity, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ElectricityElectricity |
Electricity Generating 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.
Electricity Generating 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 Electricity Generating volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Electricity Generating Trend Analysis
Use this graph to draw trend lines for Electricity Generating Public. You can use it to identify possible trend reversals for Electricity Generating 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 Electricity Generating price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Electricity Generating Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Electricity Generating Public applied against its price change over selected period. The best fit line has a slop of 0.07 , which may suggest that Electricity Generating Public market price will keep on failing further. It has 122 observation points and a regression sum of squares at 200.54, which is the sum of squared deviations for the predicted Electricity Generating price change compared to its average price change.About Electricity Generating 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 Electricity Generating 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 Electricity Generating Public based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Electricity Generating price pattern first instead of the macroeconomic environment surrounding Electricity Generating. By analyzing Electricity Generating'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 Electricity Generating'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 Electricity Generating specific price patterns or momentum indicators. Please read more on our technical analysis page.
Electricity Generating December 15, 2024 Technical Indicators
Most technical analysis of Electricity 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 Electricity from various momentum indicators to cycle indicators. When you analyze Electricity 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 | 0.0175 | |||
| Market Risk Adjusted Performance | 0.0512 | |||
| Mean Deviation | 0.9366 | |||
| Semi Deviation | 1.11 | |||
| Downside Deviation | 1.33 | |||
| Coefficient Of Variation | 5452.32 | |||
| Standard Deviation | 1.24 | |||
| Variance | 1.54 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.0412 | |||
| Maximum Drawdown | 5.69 | |||
| Value At Risk | (1.99) | |||
| Potential Upside | 2.1 | |||
| Downside Variance | 1.78 | |||
| Semi Variance | 1.22 | |||
| Expected Short fall | (1.26) | |||
| Skewness | (0.23) | |||
| Kurtosis | 0.305 |
Other Information on Investing in Electricity Stock
Electricity Generating financial ratios help investors to determine whether Electricity 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 Electricity with respect to the benefits of owning Electricity Generating security.