Sejong Telecom (Korea) Technical Analysis
| 036630 Stock | KRW 433.00 1.00 0.23% |
As of the 23rd of November, Sejong Telecom has the Variance of 0.9976, risk adjusted performance of (0.27), and Coefficient Of Variation of (282.11). Sejong Telecom 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.
Sejong Telecom Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Sejong, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SejongSejong |
Sejong Telecom 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.
Sejong Telecom 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 Sejong Telecom volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Sejong Telecom Trend Analysis
Use this graph to draw trend lines for Sejong Telecom. You can use it to identify possible trend reversals for Sejong Telecom 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 Sejong Telecom price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Sejong Telecom Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Sejong Telecom applied against its price change over selected period. The best fit line has a slop of 1.43 , which may suggest that Sejong Telecom market price will keep on failing further. It has 122 observation points and a regression sum of squares at 77336.4, which is the sum of squared deviations for the predicted Sejong Telecom price change compared to its average price change.About Sejong Telecom 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 Sejong Telecom 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 Sejong Telecom based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Sejong Telecom price pattern first instead of the macroeconomic environment surrounding Sejong Telecom. By analyzing Sejong Telecom'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 Sejong Telecom'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 Sejong Telecom specific price patterns or momentum indicators. Please read more on our technical analysis page.
Sejong Telecom November 23, 2024 Technical Indicators
Most technical analysis of Sejong 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 Sejong from various momentum indicators to cycle indicators. When you analyze Sejong 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 | (0.27) | |||
| Market Risk Adjusted Performance | (7.23) | |||
| Mean Deviation | 0.7416 | |||
| Coefficient Of Variation | (282.11) | |||
| Standard Deviation | 0.9988 | |||
| Variance | 0.9976 | |||
| Information Ratio | (0.49) | |||
| Jensen Alpha | (0.37) | |||
| Total Risk Alpha | (0.52) | |||
| Treynor Ratio | (7.24) | |||
| Maximum Drawdown | 5.23 | |||
| Value At Risk | (2.24) | |||
| Potential Upside | 1.35 | |||
| Skewness | (0.57) | |||
| Kurtosis | 1.2 |
Complementary Tools for Sejong Stock analysis
When running Sejong Telecom's price analysis, check to measure Sejong Telecom'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 Sejong Telecom is operating at the current time. Most of Sejong Telecom's value examination focuses on studying past and present price action to predict the probability of Sejong Telecom's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sejong Telecom's price. Additionally, you may evaluate how the addition of Sejong Telecom to your portfolios can decrease your overall portfolio volatility.
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