Silicon Power (Taiwan) Technical Analysis
| 4973 Stock | TWD 33.45 0.35 1.06% |
As of the 1st of December, Silicon Power has the Variance of 3.03, coefficient of variation of (4,516), and Risk Adjusted Performance of (0.01). Silicon Power 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 Silicon Power Computer variance, treynor ratio, and the relationship between the standard deviation and information ratio to decide if Silicon Power is priced more or less accurately, providing market reflects its prevalent price of 33.45 per share.
Silicon Power Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Silicon, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SiliconSilicon |
Silicon Power 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.
Silicon Power Computer Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Silicon Power Computer volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Silicon Power Computer Trend Analysis
Use this graph to draw trend lines for Silicon Power Computer. You can use it to identify possible trend reversals for Silicon Power 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 Silicon Power price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Silicon Power Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Silicon Power Computer applied against its price change over selected period. The best fit line has a slop of 0.01 , which means Silicon Power Computer will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.99, which is the sum of squared deviations for the predicted Silicon Power price change compared to its average price change.About Silicon Power 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 Silicon Power Computer 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 Silicon Power Computer based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Silicon Power Computer price pattern first instead of the macroeconomic environment surrounding Silicon Power Computer. By analyzing Silicon Power'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 Silicon Power'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 Silicon Power specific price patterns or momentum indicators. Please read more on our technical analysis page.
Silicon Power December 1, 2024 Technical Indicators
Most technical analysis of Silicon 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 Silicon from various momentum indicators to cycle indicators. When you analyze Silicon 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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| Price Transform | ||
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| Volume Indicators |
| Risk Adjusted Performance | (0.01) | |||
| Market Risk Adjusted Performance | (0.05) | |||
| Mean Deviation | 1.29 | |||
| Coefficient Of Variation | (4,516) | |||
| Standard Deviation | 1.74 | |||
| Variance | 3.03 | |||
| Information Ratio | (0.10) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.34) | |||
| Treynor Ratio | (0.06) | |||
| Maximum Drawdown | 8.45 | |||
| Value At Risk | (2.50) | |||
| Potential Upside | 2.73 | |||
| Skewness | 0.4063 | |||
| Kurtosis | 1.8 |
Additional Tools for Silicon Stock Analysis
When running Silicon Power's price analysis, check to measure Silicon Power'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 Silicon Power is operating at the current time. Most of Silicon Power's value examination focuses on studying past and present price action to predict the probability of Silicon Power's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Silicon Power's price. Additionally, you may evaluate how the addition of Silicon Power to your portfolios can decrease your overall portfolio volatility.