Shin Zu (Taiwan) Technical Analysis
| 3376 Stock | TWD 192.50 2.50 1.28% |
As of the 26th of November, Shin Zu has the Risk Adjusted Performance of (0.02), variance of 9.26, and Coefficient Of Variation of (2,968). Shin Zu 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 Shin Zu Shing mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if Shin Zu is priced more or less accurately, providing market reflects its prevalent price of 192.5 per share.
Shin Zu Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Shin, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ShinShin |
Shin Zu 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.
Shin Zu Shing Technical Analysis
The output start index for this execution was twelve with a total number of output elements of fourty-nine. 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 Shin Zu Shing volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Shin Zu Shing Trend Analysis
Use this graph to draw trend lines for Shin Zu Shing. You can use it to identify possible trend reversals for Shin Zu 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 Shin Zu price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Shin Zu Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Shin Zu Shing applied against its price change over selected period. The best fit line has a slop of 0.55 , which may suggest that Shin Zu Shing market price will keep on failing further. It has 122 observation points and a regression sum of squares at 11474.68, which is the sum of squared deviations for the predicted Shin Zu price change compared to its average price change.About Shin Zu 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 Shin Zu Shing 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 Shin Zu Shing based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Shin Zu Shing price pattern first instead of the macroeconomic environment surrounding Shin Zu Shing. By analyzing Shin Zu'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 Shin Zu'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 Shin Zu specific price patterns or momentum indicators. Please read more on our technical analysis page.
Shin Zu November 26, 2024 Technical Indicators
Most technical analysis of Shin 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 Shin from various momentum indicators to cycle indicators. When you analyze Shin 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 | (0.02) | |||
| Market Risk Adjusted Performance | (0.08) | |||
| Mean Deviation | 2.34 | |||
| Coefficient Of Variation | (2,968) | |||
| Standard Deviation | 3.04 | |||
| Variance | 9.26 | |||
| Information Ratio | (0.08) | |||
| Jensen Alpha | (0.26) | |||
| Total Risk Alpha | (0.59) | |||
| Treynor Ratio | (0.09) | |||
| Maximum Drawdown | 14.45 | |||
| Value At Risk | (3.48) | |||
| Potential Upside | 4.27 | |||
| Skewness | 0.435 | |||
| Kurtosis | 1.3 |
Shin Zu November 26, 2024 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Shin stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 93,010 | ||
| Daily Balance Of Power | (0.38) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 195.75 | ||
| Day Typical Price | 194.67 | ||
| Price Action Indicator | (4.50) |
Additional Tools for Shin Stock Analysis
When running Shin Zu's price analysis, check to measure Shin Zu'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 Shin Zu is operating at the current time. Most of Shin Zu's value examination focuses on studying past and present price action to predict the probability of Shin Zu's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Shin Zu's price. Additionally, you may evaluate how the addition of Shin Zu to your portfolios can decrease your overall portfolio volatility.