Argosy Research (Taiwan) Technical Analysis
3217 Stock | TWD 157.50 0.50 0.32% |
As of the 12th of December 2024, Argosy Research shows the mean deviation of 1.5, and Risk Adjusted Performance of 0.0368. Argosy Research technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Please confirm Argosy Research semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation to decide if Argosy Research is priced correctly, providing market reflects its regular price of 157.5 per share.
Argosy Research Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Argosy, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ArgosyArgosy |
Argosy Research 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.
Argosy Research Technical Analysis
The output start index for this execution was fourty-two with a total number of output elements of nineteen. 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 Argosy Research volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Argosy Research Trend Analysis
Use this graph to draw trend lines for Argosy Research. You can use it to identify possible trend reversals for Argosy Research 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 Argosy Research price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Argosy Research Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Argosy Research applied against its price change over selected period. The best fit line has a slop of 0.08 , which means Argosy Research will continue generating value for investors. It has 122 observation points and a regression sum of squares at 246.13, which is the sum of squared deviations for the predicted Argosy Research price change compared to its average price change.About Argosy Research 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 Argosy Research 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 Argosy Research based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Argosy Research price pattern first instead of the macroeconomic environment surrounding Argosy Research. By analyzing Argosy Research'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 Argosy Research'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 Argosy Research specific price patterns or momentum indicators. Please read more on our technical analysis page.
Argosy Research December 12, 2024 Technical Indicators
Most technical analysis of Argosy 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 Argosy from various momentum indicators to cycle indicators. When you analyze Argosy 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 | 0.0368 | |||
Market Risk Adjusted Performance | 0.1816 | |||
Mean Deviation | 1.5 | |||
Semi Deviation | 1.72 | |||
Downside Deviation | 1.95 | |||
Coefficient Of Variation | 2365.83 | |||
Standard Deviation | 1.96 | |||
Variance | 3.83 | |||
Information Ratio | (0.02) | |||
Jensen Alpha | 0.0242 | |||
Total Risk Alpha | (0.24) | |||
Sortino Ratio | (0.02) | |||
Treynor Ratio | 0.1716 | |||
Maximum Drawdown | 11.36 | |||
Value At Risk | (2.48) | |||
Potential Upside | 3.78 | |||
Downside Variance | 3.78 | |||
Semi Variance | 2.96 | |||
Expected Short fall | (1.79) | |||
Skewness | 0.1142 | |||
Kurtosis | 1.12 |
Additional Tools for Argosy Stock Analysis
When running Argosy Research's price analysis, check to measure Argosy Research'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 Argosy Research is operating at the current time. Most of Argosy Research's value examination focuses on studying past and present price action to predict the probability of Argosy Research's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Argosy Research's price. Additionally, you may evaluate how the addition of Argosy Research to your portfolios can decrease your overall portfolio volatility.