Power Wind (Taiwan) Technical Analysis
| 8462 Stock | 114.50 0.50 0.43% |
As of the 23rd of November, Power Wind holds the Coefficient Of Variation of (6,353), variance of 3.43, and Risk Adjusted Performance of (0.01). Power Wind Health technical analysis gives you tools to exploit past prices in attempt to determine a pattern that determines the direction of the company's future prices. Please check Power Wind Health mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if Power Wind Health is priced some-what accurately, providing market reflects its current price of 114.5 per share.
Power Wind Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Power, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PowerPower |
Power Wind 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.
Power Wind Health Technical Analysis
The output start index for this execution was three with a total number of output elements of fifty-eight. 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 Power Wind Health volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Power Wind Health Trend Analysis
Use this graph to draw trend lines for Power Wind Health. You can use it to identify possible trend reversals for Power Wind 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 Power Wind price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Power Wind Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Power Wind Health applied against its price change over selected period. The best fit line has a slop of 0.49 , which may suggest that Power Wind Health market price will keep on failing further. It has 122 observation points and a regression sum of squares at 9040.64, which is the sum of squared deviations for the predicted Power Wind price change compared to its average price change.About Power Wind 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 Power Wind Health 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 Power Wind Health based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Power Wind Health price pattern first instead of the macroeconomic environment surrounding Power Wind Health. By analyzing Power Wind'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 Power Wind'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 Power Wind specific price patterns or momentum indicators. Please read more on our technical analysis page.
Power Wind November 23, 2024 Technical Indicators
Most technical analysis of Power 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 Power from various momentum indicators to cycle indicators. When you analyze Power 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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| Risk Adjusted Performance | (0.01) | |||
| Market Risk Adjusted Performance | 0.0832 | |||
| Mean Deviation | 1.21 | |||
| Coefficient Of Variation | (6,353) | |||
| Standard Deviation | 1.85 | |||
| Variance | 3.43 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | 0.0254 | |||
| Total Risk Alpha | (0.33) | |||
| Treynor Ratio | 0.0732 | |||
| Maximum Drawdown | 12.78 | |||
| Value At Risk | (2.80) | |||
| Potential Upside | 2.55 | |||
| Skewness | 2.11 | |||
| Kurtosis | 10.45 |
Additional Tools for Power Stock Analysis
When running Power Wind's price analysis, check to measure Power Wind'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 Power Wind is operating at the current time. Most of Power Wind's value examination focuses on studying past and present price action to predict the probability of Power Wind's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Power Wind's price. Additionally, you may evaluate how the addition of Power Wind to your portfolios can decrease your overall portfolio volatility.