Pruksa Holding (Thailand) Technical Analysis
| PSH Stock | THB 7.00 0.20 2.78% |
As of the 13th of January 2025, Pruksa Holding holds the Coefficient Of Variation of (504.95), variance of 3.09, and Risk Adjusted Performance of (0.16). Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Pruksa Holding, as well as the relationship between them.
Pruksa Holding Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Pruksa, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PruksaPruksa |
Pruksa Holding 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.
Pruksa Holding Public 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 Pruksa Holding Public volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Pruksa Holding Public Trend Analysis
Use this graph to draw trend lines for Pruksa Holding Public. You can use it to identify possible trend reversals for Pruksa Holding 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 Pruksa Holding price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Pruksa Holding Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Pruksa Holding Public applied against its price change over selected period. The best fit line has a slop of 0.03 , which may suggest that Pruksa Holding Public market price will keep on failing further. It has 122 observation points and a regression sum of squares at 24.55, which is the sum of squared deviations for the predicted Pruksa Holding price change compared to its average price change.About Pruksa Holding 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 Pruksa Holding 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 Pruksa Holding Public based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Pruksa Holding Public price pattern first instead of the macroeconomic environment surrounding Pruksa Holding Public. By analyzing Pruksa Holding'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 Pruksa Holding'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 Pruksa Holding specific price patterns or momentum indicators. Please read more on our technical analysis page.
Pruksa Holding January 13, 2025 Technical Indicators
Most technical analysis of Pruksa 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 Pruksa from various momentum indicators to cycle indicators. When you analyze Pruksa 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 | (0.16) | |||
| Market Risk Adjusted Performance | (1.01) | |||
| Mean Deviation | 1.37 | |||
| Coefficient Of Variation | (504.95) | |||
| Standard Deviation | 1.76 | |||
| Variance | 3.09 | |||
| Information Ratio | (0.20) | |||
| Jensen Alpha | (0.35) | |||
| Total Risk Alpha | (0.33) | |||
| Treynor Ratio | (1.02) | |||
| Maximum Drawdown | 10.52 | |||
| Value At Risk | (2.78) | |||
| Potential Upside | 2.53 | |||
| Skewness | 0.1779 | |||
| Kurtosis | 1.05 |
Other Information on Investing in Pruksa Stock
Pruksa Holding financial ratios help investors to determine whether Pruksa 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 Pruksa with respect to the benefits of owning Pruksa Holding security.