Samsung Electronics (UK) Technical Analysis
| SMSN Stock | USD 987.00 17.00 1.69% |
As of the 26th of November, Samsung Electronics has the Variance of 5.53, risk adjusted performance of (0.17), and Coefficient Of Variation of (426.01). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Samsung Electronics, as well as the relationship between them. Please validate Samsung Electronics value at risk, skewness, and the relationship between the maximum drawdown and potential upside to decide if Samsung Electronics is priced more or less accurately, providing market reflects its prevalent price of 987.0 per share.
Samsung Electronics 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 Electronics 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 Electronics 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 Samsung Electronics volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Samsung Electronics Trend Analysis
Use this graph to draw trend lines for Samsung Electronics Co. You can use it to identify possible trend reversals for Samsung Electronics 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 Electronics price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Samsung Electronics Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Samsung Electronics Co applied against its price change over selected period. The best fit line has a slop of 5.84 , which may suggest that Samsung Electronics Co market price will keep on failing further. It has 122 observation points and a regression sum of squares at 1291324.86, which is the sum of squared deviations for the predicted Samsung Electronics price change compared to its average price change.About Samsung Electronics 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 Electronics 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 Samsung Electronics Co based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Samsung Electronics price pattern first instead of the macroeconomic environment surrounding Samsung Electronics. By analyzing Samsung Electronics'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 Electronics'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 Electronics specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0386 | 0.026 | 0.0182 | 0.0135 | Price To Sales Ratio | 1.9 | 1.25 | 2.09 | 2.19 |
Samsung Electronics November 26, 2024 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 | (0.17) | |||
| Market Risk Adjusted Performance | 4.71 | |||
| Mean Deviation | 1.64 | |||
| Coefficient Of Variation | (426.01) | |||
| Standard Deviation | 2.35 | |||
| Variance | 5.53 | |||
| Information Ratio | (0.29) | |||
| Jensen Alpha | (0.55) | |||
| Total Risk Alpha | (0.93) | |||
| Treynor Ratio | 4.7 | |||
| Maximum Drawdown | 13.39 | |||
| Value At Risk | (4.02) | |||
| Potential Upside | 3.19 | |||
| Skewness | 1.12 | |||
| Kurtosis | 4.2 |
Other Information on Investing in Samsung Stock
Samsung Electronics financial ratios help investors to determine whether Samsung Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Samsung with respect to the benefits of owning Samsung Electronics security.