Simmtech Holdings (Korea) Technical Analysis
| 036710 Stock | KRW 1,212 15.00 1.22% |
As of the 27th of November, Simmtech Holdings has the Variance of 3.26, coefficient of variation of (253.29), and Risk Adjusted Performance of (0.30). Simmtech Holdings 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.
Simmtech Holdings Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Simmtech, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SimmtechSimmtech |
Simmtech Holdings 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.
Simmtech Holdings Technical Analysis
The output start index for this execution was four with a total number of output elements of fifty-seven. 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 Simmtech Holdings volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Simmtech Holdings Trend Analysis
Use this graph to draw trend lines for Simmtech Holdings Co. You can use it to identify possible trend reversals for Simmtech Holdings 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 Simmtech Holdings price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Simmtech Holdings Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Simmtech Holdings Co applied against its price change over selected period. The best fit line has a slop of 11.82 , which may suggest that Simmtech Holdings Co market price will keep on failing further. It has 122 observation points and a regression sum of squares at 5280746.23, which is the sum of squared deviations for the predicted Simmtech Holdings price change compared to its average price change.About Simmtech Holdings 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 Simmtech Holdings Co 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 Simmtech Holdings Co based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Simmtech Holdings price pattern first instead of the macroeconomic environment surrounding Simmtech Holdings. By analyzing Simmtech Holdings'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 Simmtech Holdings'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 Simmtech Holdings specific price patterns or momentum indicators. Please read more on our technical analysis page.
Simmtech Holdings November 27, 2024 Technical Indicators
Most technical analysis of Simmtech 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 Simmtech from various momentum indicators to cycle indicators. When you analyze Simmtech 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 | (0.30) | |||
| Market Risk Adjusted Performance | (4.37) | |||
| Mean Deviation | 1.26 | |||
| Coefficient Of Variation | (253.29) | |||
| Standard Deviation | 1.81 | |||
| Variance | 3.26 | |||
| Information Ratio | (0.47) | |||
| Jensen Alpha | (0.74) | |||
| Total Risk Alpha | (1.01) | |||
| Treynor Ratio | (4.38) | |||
| Maximum Drawdown | 9.58 | |||
| Value At Risk | (3.60) | |||
| Potential Upside | 2.26 | |||
| Skewness | (0.99) | |||
| Kurtosis | 2.81 |
Complementary Tools for Simmtech Stock analysis
When running Simmtech Holdings' price analysis, check to measure Simmtech Holdings' 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 Simmtech Holdings is operating at the current time. Most of Simmtech Holdings' value examination focuses on studying past and present price action to predict the probability of Simmtech Holdings' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Simmtech Holdings' price. Additionally, you may evaluate how the addition of Simmtech Holdings to your portfolios can decrease your overall portfolio volatility.
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