Sinopower Semiconductor (Taiwan) Technical Analysis
| 6435 Stock | TWD 91.20 0.10 0.11% |
As of the 2nd of December, Sinopower Semiconductor has the Risk Adjusted Performance of (0.03), variance of 3.52, and Coefficient Of Variation of (2,048). Sinopower Semiconductor 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 Sinopower Semiconductor standard deviation, information ratio, maximum drawdown, as well as the relationship between the variance and treynor ratio to decide if Sinopower Semiconductor is priced more or less accurately, providing market reflects its prevalent price of 91.2 per share.
Sinopower Semiconductor Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Sinopower, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SinopowerSinopower |
Sinopower Semiconductor 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.
Sinopower Semiconductor Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Sinopower Semiconductor volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Sinopower Semiconductor Trend Analysis
Use this graph to draw trend lines for Sinopower Semiconductor. You can use it to identify possible trend reversals for Sinopower Semiconductor 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 Sinopower Semiconductor price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Sinopower Semiconductor Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Sinopower Semiconductor applied against its price change over selected period. The best fit line has a slop of 0.04 , which may suggest that Sinopower Semiconductor market price will keep on failing further. It has 122 observation points and a regression sum of squares at 57.9, which is the sum of squared deviations for the predicted Sinopower Semiconductor price change compared to its average price change.About Sinopower Semiconductor 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 Sinopower Semiconductor 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 Sinopower Semiconductor based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Sinopower Semiconductor price pattern first instead of the macroeconomic environment surrounding Sinopower Semiconductor. By analyzing Sinopower Semiconductor'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 Sinopower Semiconductor'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 Sinopower Semiconductor specific price patterns or momentum indicators. Please read more on our technical analysis page.
Sinopower Semiconductor December 2, 2024 Technical Indicators
Most technical analysis of Sinopower 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 Sinopower from various momentum indicators to cycle indicators. When you analyze Sinopower 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 | (0.03) | |||
| Market Risk Adjusted Performance | (0.26) | |||
| Mean Deviation | 1.38 | |||
| Coefficient Of Variation | (2,048) | |||
| Standard Deviation | 1.88 | |||
| Variance | 3.52 | |||
| Information Ratio | (0.12) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.41) | |||
| Treynor Ratio | (0.27) | |||
| Maximum Drawdown | 8.94 | |||
| Value At Risk | (3.35) | |||
| Potential Upside | 3.7 | |||
| Skewness | 0.4576 | |||
| Kurtosis | 0.7451 |
Additional Tools for Sinopower Stock Analysis
When running Sinopower Semiconductor's price analysis, check to measure Sinopower Semiconductor'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 Sinopower Semiconductor is operating at the current time. Most of Sinopower Semiconductor's value examination focuses on studying past and present price action to predict the probability of Sinopower Semiconductor's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sinopower Semiconductor's price. Additionally, you may evaluate how the addition of Sinopower Semiconductor to your portfolios can decrease your overall portfolio volatility.