Samsung Securities (Korea) Technical Analysis
| 016360 Stock | 43,500 450.00 1.02% |
As of the 20th of January, Samsung Securities has the Coefficient Of Variation of (1,849), risk adjusted performance of (0.04), and Variance of 4.17. Samsung Securities 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.
Samsung Securities Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Samsung, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SamsungSamsung |
Samsung Securities 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.
Samsung Securities Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-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 Samsung Securities volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Samsung Securities Trend Analysis
Use this graph to draw trend lines for Samsung Securities. You can use it to identify possible trend reversals for Samsung Securities 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 Samsung Securities price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Samsung Securities Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Samsung Securities applied against its price change over selected period. The best fit line has a slop of 42.45 , which may suggest that Samsung Securities market price will keep on failing further. It has 122 observation points and a regression sum of squares at 6.814672554E7, which is the sum of squared deviations for the predicted Samsung Securities price change compared to its average price change.About Samsung Securities 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 Samsung Securities 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 Samsung Securities based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Samsung Securities price pattern first instead of the macroeconomic environment surrounding Samsung Securities. By analyzing Samsung Securities'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 Samsung Securities'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 Samsung Securities specific price patterns or momentum indicators. Please read more on our technical analysis page.
Samsung Securities January 20, 2025 Technical Indicators
Most technical analysis of Samsung 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 Samsung from various momentum indicators to cycle indicators. When you analyze Samsung 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 | (0.04) | |||
| Market Risk Adjusted Performance | 0.6403 | |||
| Mean Deviation | 1.31 | |||
| Coefficient Of Variation | (1,849) | |||
| Standard Deviation | 2.04 | |||
| Variance | 4.17 | |||
| Information Ratio | (0.07) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.17) | |||
| Treynor Ratio | 0.6303 | |||
| Maximum Drawdown | 14.75 | |||
| Value At Risk | (3.45) | |||
| Potential Upside | 3.15 | |||
| Skewness | (0.50) | |||
| Kurtosis | 4.72 |
Complementary Tools for Samsung Stock analysis
When running Samsung Securities' price analysis, check to measure Samsung Securities' 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 Samsung Securities is operating at the current time. Most of Samsung Securities' value examination focuses on studying past and present price action to predict the probability of Samsung Securities' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Samsung Securities' price. Additionally, you may evaluate how the addition of Samsung Securities to your portfolios can decrease your overall portfolio volatility.
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