Sam Yang (Korea) Technical Analysis
003230 Stock | 532,000 20,000 3.91% |
As of the 23rd of November, Sam Yang has the Risk Adjusted Performance of 0.0118, semi deviation of 2.46, and Coefficient Of Variation of 18493.71. Sam Yang 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.
Sam Yang Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Sam, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SamSam |
Sam Yang 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.
Sam Yang Foods Technical Analysis
The output start index for this execution was three with a total number of output elements of fifty-eight. 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 Sam Yang Foods volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Sam Yang Foods Trend Analysis
Use this graph to draw trend lines for Sam Yang Foods. You can use it to identify possible trend reversals for Sam Yang 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 Sam Yang price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Sam Yang Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Sam Yang Foods applied against its price change over selected period. The best fit line has a slop of 1,075 , which means Sam Yang Foods will continue producing value for investors. It has 122 observation points and a regression sum of squares at 4.373906885246E10, which is the sum of squared deviations for the predicted Sam Yang price change compared to its average price change.About Sam Yang 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 Sam Yang Foods 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 Sam Yang Foods based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Sam Yang Foods price pattern first instead of the macroeconomic environment surrounding Sam Yang Foods. By analyzing Sam Yang'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 Sam Yang'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 Sam Yang specific price patterns or momentum indicators. Please read more on our technical analysis page.
Sam Yang November 23, 2024 Technical Indicators
Most technical analysis of Sam 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 Sam from various momentum indicators to cycle indicators. When you analyze Sam 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 | 0.0118 | |||
Market Risk Adjusted Performance | (0.02) | |||
Mean Deviation | 2.26 | |||
Semi Deviation | 2.46 | |||
Downside Deviation | 2.64 | |||
Coefficient Of Variation | 18493.71 | |||
Standard Deviation | 3.2 | |||
Variance | 10.26 | |||
Information Ratio | (0.04) | |||
Jensen Alpha | 0.0408 | |||
Total Risk Alpha | (0.50) | |||
Sortino Ratio | (0.04) | |||
Treynor Ratio | (0.03) | |||
Maximum Drawdown | 17.57 | |||
Value At Risk | (4.30) | |||
Potential Upside | 5.59 | |||
Downside Variance | 6.99 | |||
Semi Variance | 6.07 | |||
Expected Short fall | (2.88) | |||
Skewness | 1.27 | |||
Kurtosis | 4.02 |
Complementary Tools for Sam Stock analysis
When running Sam Yang's price analysis, check to measure Sam Yang'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 Sam Yang is operating at the current time. Most of Sam Yang's value examination focuses on studying past and present price action to predict the probability of Sam Yang's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sam Yang's price. Additionally, you may evaluate how the addition of Sam Yang to your portfolios can decrease your overall portfolio volatility.
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Performance Analysis Check effects of mean-variance optimization against your current asset allocation |