SK Telecom (Korea) Technical Analysis
017670 Stock | 57,200 900.00 1.60% |
As of the 23rd of November, SK Telecom owns the Downside Deviation of 1.2, mean deviation of 0.8775, and Risk Adjusted Performance of 0.0622. SK Telecom Co technical analysis provides you with a way to harness past data patterns to determine a pattern that measures the direction of the company's future prices.
SK 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 017670, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to 017670017670 |
SK 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.
SK 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 SK Telecom volatility. High ATR values indicate high volatility, and low values indicate low volatility.
SK Telecom Trend Analysis
Use this graph to draw trend lines for SK Telecom Co. You can use it to identify possible trend reversals for SK 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 SK Telecom price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.SK Telecom Best Fit Change Line
The following chart estimates an ordinary least squares regression model for SK Telecom Co applied against its price change over selected period. The best fit line has a slop of 19.32 , which means SK Telecom Co will continue producing value for investors. It has 122 observation points and a regression sum of squares at 1.412274366E7, which is the sum of squared deviations for the predicted SK Telecom price change compared to its average price change.About SK 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 SK Telecom 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 SK Telecom Co based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on SK Telecom price pattern first instead of the macroeconomic environment surrounding SK Telecom. By analyzing SK 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 SK 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 SK Telecom specific price patterns or momentum indicators. Please read more on our technical analysis page.
SK Telecom November 23, 2024 Technical Indicators
Most technical analysis of 017670 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 017670 from various momentum indicators to cycle indicators. When you analyze 017670 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 | 0.0622 | |||
Market Risk Adjusted Performance | 0.3263 | |||
Mean Deviation | 0.8775 | |||
Semi Deviation | 1.04 | |||
Downside Deviation | 1.2 | |||
Coefficient Of Variation | 1300.51 | |||
Standard Deviation | 1.14 | |||
Variance | 1.3 | |||
Information Ratio | (0.04) | |||
Jensen Alpha | 0.048 | |||
Total Risk Alpha | (0.10) | |||
Sortino Ratio | (0.04) | |||
Treynor Ratio | 0.3163 | |||
Maximum Drawdown | 5.71 | |||
Value At Risk | (1.78) | |||
Potential Upside | 1.98 | |||
Downside Variance | 1.44 | |||
Semi Variance | 1.09 | |||
Expected Short fall | (0.99) | |||
Skewness | (0.25) | |||
Kurtosis | 0.321 |
Complementary Tools for 017670 Stock analysis
When running SK Telecom's price analysis, check to measure SK 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 SK Telecom is operating at the current time. Most of SK Telecom's value examination focuses on studying past and present price action to predict the probability of SK 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 SK Telecom's price. Additionally, you may evaluate how the addition of SK Telecom to your portfolios can decrease your overall portfolio volatility.
Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account | |
FinTech Suite Use AI to screen and filter profitable investment opportunities | |
Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
Global Correlations Find global opportunities by holding instruments from different markets | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance |