Jeong Moon (Korea) Technical Analysis
| 033050 Stock | KRW 823.00 6.00 0.72% |
As of the 19th of January, Jeong Moon retains the Standard Deviation of 2.27, risk adjusted performance of (0.06), and Market Risk Adjusted Performance of 0.8714. Jeong Moon technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices.
Jeong Moon Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Jeong, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to JeongJeong |
Jeong Moon 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.
Jeong Moon Information Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Jeong Moon Information volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Jeong Moon Information Trend Analysis
Use this graph to draw trend lines for Jeong Moon Information. You can use it to identify possible trend reversals for Jeong Moon 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 Jeong Moon price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Jeong Moon Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Jeong Moon Information applied against its price change over selected period. The best fit line has a slop of 2.83 , which may suggest that Jeong Moon Information market price will keep on failing further. It has 122 observation points and a regression sum of squares at 301999.59, which is the sum of squared deviations for the predicted Jeong Moon price change compared to its average price change.About Jeong Moon 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 Jeong Moon Information 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 Jeong Moon Information based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Jeong Moon Information price pattern first instead of the macroeconomic environment surrounding Jeong Moon Information. By analyzing Jeong Moon'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 Jeong Moon'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 Jeong Moon specific price patterns or momentum indicators. Please read more on our technical analysis page.
Jeong Moon January 19, 2025 Technical Indicators
Most technical analysis of Jeong 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 Jeong from various momentum indicators to cycle indicators. When you analyze Jeong 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 | (0.06) | |||
| Market Risk Adjusted Performance | 0.8714 | |||
| Mean Deviation | 1.45 | |||
| Coefficient Of Variation | (1,270) | |||
| Standard Deviation | 2.27 | |||
| Variance | 5.13 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | (0.18) | |||
| Total Risk Alpha | (0.24) | |||
| Treynor Ratio | 0.8614 | |||
| Maximum Drawdown | 14.65 | |||
| Value At Risk | (3.20) | |||
| Potential Upside | 3.12 | |||
| Skewness | (1.71) | |||
| Kurtosis | 7.67 |
Complementary Tools for Jeong Stock analysis
When running Jeong Moon's price analysis, check to measure Jeong Moon'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 Jeong Moon is operating at the current time. Most of Jeong Moon's value examination focuses on studying past and present price action to predict the probability of Jeong Moon's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Jeong Moon's price. Additionally, you may evaluate how the addition of Jeong Moon to your portfolios can decrease your overall portfolio volatility.
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