WHA Utilities (Thailand) Technical Analysis
| WHAUP Stock | THB 4.80 0.02 0.42% |
As of the 23rd of December, WHA Utilities owns the Market Risk Adjusted Performance of 0.4737, mean deviation of 1.45, and Standard Deviation of 2.18. Compared to fundamental indicators, the technical analysis model lets you check helpful technical drivers of WHA Utilities, as well as the relationship between them.
WHA Utilities Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as WHA, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to WHAWHA |
WHA Utilities 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.
WHA Utilities Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 WHA Utilities volatility. High ATR values indicate high volatility, and low values indicate low volatility.
WHA Utilities Trend Analysis
Use this graph to draw trend lines for WHA Utilities and. You can use it to identify possible trend reversals for WHA Utilities 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 WHA Utilities price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.WHA Utilities Best Fit Change Line
The following chart estimates an ordinary least squares regression model for WHA Utilities and applied against its price change over selected period. The best fit line has a slop of 0.0002 , which means WHA Utilities and will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted WHA Utilities price change compared to its average price change.About WHA Utilities 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 WHA Utilities and 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 WHA Utilities and based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on WHA Utilities price pattern first instead of the macroeconomic environment surrounding WHA Utilities. By analyzing WHA Utilities'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 WHA Utilities'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 WHA Utilities specific price patterns or momentum indicators. Please read more on our technical analysis page.
WHA Utilities December 23, 2024 Technical Indicators
Most technical analysis of WHA 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 WHA from various momentum indicators to cycle indicators. When you analyze WHA 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.
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0528 | |||
| Market Risk Adjusted Performance | 0.4737 | |||
| Mean Deviation | 1.45 | |||
| Semi Deviation | 1.69 | |||
| Downside Deviation | 2.14 | |||
| Coefficient Of Variation | 1705.89 | |||
| Standard Deviation | 2.18 | |||
| Variance | 4.74 | |||
| Information Ratio | 0.0438 | |||
| Jensen Alpha | 0.112 | |||
| Total Risk Alpha | 0.0566 | |||
| Sortino Ratio | 0.0445 | |||
| Treynor Ratio | 0.4637 | |||
| Maximum Drawdown | 14.13 | |||
| Value At Risk | (2.82) | |||
| Potential Upside | 3.73 | |||
| Downside Variance | 4.6 | |||
| Semi Variance | 2.85 | |||
| Expected Short fall | (1.84) | |||
| Skewness | 1.01 | |||
| Kurtosis | 3.87 |
Complementary Tools for WHA Stock analysis
When running WHA Utilities' price analysis, check to measure WHA Utilities' 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 WHA Utilities is operating at the current time. Most of WHA Utilities' value examination focuses on studying past and present price action to predict the probability of WHA Utilities' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move WHA Utilities' price. Additionally, you may evaluate how the addition of WHA Utilities to your portfolios can decrease your overall portfolio volatility.
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