Service Quality (Taiwan) Technical Analysis
| 3219 Stock | TWD 51.00 0.20 0.39% |
As of the 30th of November, Service Quality has the Coefficient Of Variation of (7,201), insignificant risk adjusted performance, and Variance of 17.93. Service Quality technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the company's future prices. Please validate Service Quality Tech treynor ratio, value at risk, and the relationship between the information ratio and maximum drawdown to decide if Service Quality is priced more or less accurately, providing market reflects its prevalent price of 51.0 per share.
Service Quality Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Service, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ServiceService |
Service Quality 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.
Service Quality Tech 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 Service Quality Tech volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Service Quality Tech Trend Analysis
Use this graph to draw trend lines for Service Quality Technology. You can use it to identify possible trend reversals for Service Quality 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 Service Quality price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Service Quality Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Service Quality Technology applied against its price change over selected period. The best fit line has a slop of 0.06 , which means Service Quality Technology will continue generating value for investors. It has 122 observation points and a regression sum of squares at 143.55, which is the sum of squared deviations for the predicted Service Quality price change compared to its average price change.About Service Quality 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 Service Quality Technology 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 Service Quality Technology based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Service Quality Tech price pattern first instead of the macroeconomic environment surrounding Service Quality Tech. By analyzing Service Quality'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 Service Quality'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 Service Quality specific price patterns or momentum indicators. Please read more on our technical analysis page.
Service Quality November 30, 2024 Technical Indicators
Most technical analysis of Service 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 Service from various momentum indicators to cycle indicators. When you analyze Service 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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| Volume Indicators |
| Risk Adjusted Performance | (0) | |||
| Market Risk Adjusted Performance | (0.25) | |||
| Mean Deviation | 3.01 | |||
| Coefficient Of Variation | (7,201) | |||
| Standard Deviation | 4.23 | |||
| Variance | 17.93 | |||
| Information Ratio | (0.05) | |||
| Jensen Alpha | (0.10) | |||
| Total Risk Alpha | (0.78) | |||
| Treynor Ratio | (0.26) | |||
| Maximum Drawdown | 18.91 | |||
| Value At Risk | (7.37) | |||
| Potential Upside | 8.06 | |||
| Skewness | 0.151 | |||
| Kurtosis | 0.4088 |
Additional Tools for Service Stock Analysis
When running Service Quality's price analysis, check to measure Service Quality'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 Service Quality is operating at the current time. Most of Service Quality's value examination focuses on studying past and present price action to predict the probability of Service Quality's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Service Quality's price. Additionally, you may evaluate how the addition of Service Quality to your portfolios can decrease your overall portfolio volatility.