Daejung Chemicals (Korea) Technical Analysis
| 120240 Stock | KRW 12,800 20.00 0.16% |
As of the 29th of November, Daejung Chemicals shows the Standard Deviation of 1.37, mean deviation of 0.9613, and Coefficient Of Variation of (417.54). Daejung Chemicals Metals technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices.
Daejung Chemicals Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Daejung, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DaejungDaejung |
Daejung Chemicals 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.
Daejung Chemicals Metals Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 Daejung Chemicals Metals volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Daejung Chemicals Metals Trend Analysis
Use this graph to draw trend lines for Daejung Chemicals Metals. You can use it to identify possible trend reversals for Daejung Chemicals 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 Daejung Chemicals price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Daejung Chemicals Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Daejung Chemicals Metals applied against its price change over selected period. The best fit line has a slop of 38.09 , which may suggest that Daejung Chemicals Metals market price will keep on failing further. It has 122 observation points and a regression sum of squares at 5.488449888E7, which is the sum of squared deviations for the predicted Daejung Chemicals price change compared to its average price change.About Daejung Chemicals 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 Daejung Chemicals Metals 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 Daejung Chemicals Metals based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Daejung Chemicals Metals price pattern first instead of the macroeconomic environment surrounding Daejung Chemicals Metals. By analyzing Daejung Chemicals'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 Daejung Chemicals'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 Daejung Chemicals specific price patterns or momentum indicators. Please read more on our technical analysis page.
Daejung Chemicals November 29, 2024 Technical Indicators
Most technical analysis of Daejung 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 Daejung from various momentum indicators to cycle indicators. When you analyze Daejung 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.
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| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.18) | |||
| Market Risk Adjusted Performance | 1.04 | |||
| Mean Deviation | 0.9613 | |||
| Coefficient Of Variation | (417.54) | |||
| Standard Deviation | 1.37 | |||
| Variance | 1.88 | |||
| Information Ratio | (0.33) | |||
| Jensen Alpha | (0.30) | |||
| Total Risk Alpha | (0.54) | |||
| Treynor Ratio | 1.03 | |||
| Maximum Drawdown | 6.69 | |||
| Value At Risk | (2.62) | |||
| Potential Upside | 1.65 | |||
| Skewness | (0.08) | |||
| Kurtosis | 2.01 |
Complementary Tools for Daejung Stock analysis
When running Daejung Chemicals' price analysis, check to measure Daejung Chemicals' 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 Daejung Chemicals is operating at the current time. Most of Daejung Chemicals' value examination focuses on studying past and present price action to predict the probability of Daejung Chemicals' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Daejung Chemicals' price. Additionally, you may evaluate how the addition of Daejung Chemicals to your portfolios can decrease your overall portfolio volatility.
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