Shuttle (Taiwan) Technical Analysis
2405 Stock | TWD 21.10 0.45 2.09% |
As of the 17th of February 2025, Shuttle has the Semi Deviation of 1.86, coefficient of variation of 9509.75, and Risk Adjusted Performance of 0.0142. Shuttle 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 Shuttle standard deviation, information ratio, treynor ratio, as well as the relationship between the variance and jensen alpha to decide if Shuttle is priced more or less accurately, providing market reflects its prevalent price of 21.1 per share.
Shuttle Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Shuttle, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ShuttleShuttle |
Shuttle 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.
Shuttle Technical Analysis
The output start index for this execution was twenty-one with a total number of output elements of fourty. 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 Shuttle volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Shuttle Trend Analysis
Use this graph to draw trend lines for Shuttle. You can use it to identify possible trend reversals for Shuttle 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 Shuttle price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Shuttle Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Shuttle applied against its price change over selected period. The best fit line has a slop of 0.01 , which may suggest that Shuttle market price will keep on failing further. It has 122 observation points and a regression sum of squares at 3.82, which is the sum of squared deviations for the predicted Shuttle price change compared to its average price change.About Shuttle 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 Shuttle 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 Shuttle based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Shuttle price pattern first instead of the macroeconomic environment surrounding Shuttle. By analyzing Shuttle'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 Shuttle'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 Shuttle specific price patterns or momentum indicators. Please read more on our technical analysis page.
Shuttle February 17, 2025 Technical Indicators
Most technical analysis of Shuttle 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 Shuttle from various momentum indicators to cycle indicators. When you analyze Shuttle 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 | 0.0142 | |||
Market Risk Adjusted Performance | (0.01) | |||
Mean Deviation | 1.57 | |||
Semi Deviation | 1.86 | |||
Downside Deviation | 1.98 | |||
Coefficient Of Variation | 9509.75 | |||
Standard Deviation | 2.15 | |||
Variance | 4.62 | |||
Information Ratio | 0.0053 | |||
Jensen Alpha | 0.0132 | |||
Total Risk Alpha | 0.0092 | |||
Sortino Ratio | 0.0058 | |||
Treynor Ratio | (0.02) | |||
Maximum Drawdown | 10.79 | |||
Value At Risk | (3.10) | |||
Potential Upside | 4.09 | |||
Downside Variance | 3.92 | |||
Semi Variance | 3.46 | |||
Expected Short fall | (1.81) | |||
Skewness | 0.4685 | |||
Kurtosis | 0.7211 |
Additional Tools for Shuttle Stock Analysis
When running Shuttle's price analysis, check to measure Shuttle'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 Shuttle is operating at the current time. Most of Shuttle's value examination focuses on studying past and present price action to predict the probability of Shuttle's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Shuttle's price. Additionally, you may evaluate how the addition of Shuttle to your portfolios can decrease your overall portfolio volatility.