Samsung Electronics (Germany) Technical Analysis
| SSU Stock | EUR 2,640 70.00 2.72% |
As of the 15th of February 2026, Samsung Electronics has the Semi Deviation of 2.16, coefficient of variation of 359.53, and Risk Adjusted Performance of 0.2322. 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, expected short fall, and the relationship between the treynor ratio and downside variance to decide if Samsung Electronics is priced more or less accurately, providing market reflects its prevalent price of 2640.0 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 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Samsung Electronics' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Samsung Electronics.
| 11/17/2025 |
| 02/15/2026 |
If you would invest 0.00 in Samsung Electronics on November 17, 2025 and sell it all today you would earn a total of 0.00 from holding Samsung Electronics Co or generate 0.0% return on investment in Samsung Electronics over 90 days. Samsung Electronics is related to or competes with China BlueChemical, Silicon Motion, Westshore Terminals, REINET INVESTMENTS, HK Electric, REGAL ASIAN, and Eastman Chemical. Samsung Electronics Co., Ltd. engages in the consumer electronics, information technology and mobile communications, and... More
Samsung Electronics Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Samsung Electronics' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Samsung Electronics Co upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.63 | |||
| Information Ratio | 0.2587 | |||
| Maximum Drawdown | 15.03 | |||
| Value At Risk | (4.89) | |||
| Potential Upside | 7.66 |
Samsung Electronics Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Samsung Electronics' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Samsung Electronics' standard deviation. In reality, there are many statistical measures that can use Samsung Electronics historical prices to predict the future Samsung Electronics' volatility.| Risk Adjusted Performance | 0.2322 | |||
| Jensen Alpha | 0.9551 | |||
| Total Risk Alpha | 0.7239 | |||
| Sortino Ratio | 0.3535 | |||
| Treynor Ratio | 1.64 |
Samsung Electronics February 15, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.2322 | |||
| Market Risk Adjusted Performance | 1.65 | |||
| Mean Deviation | 2.94 | |||
| Semi Deviation | 2.16 | |||
| Downside Deviation | 2.63 | |||
| Coefficient Of Variation | 359.53 | |||
| Standard Deviation | 3.6 | |||
| Variance | 12.96 | |||
| Information Ratio | 0.2587 | |||
| Jensen Alpha | 0.9551 | |||
| Total Risk Alpha | 0.7239 | |||
| Sortino Ratio | 0.3535 | |||
| Treynor Ratio | 1.64 | |||
| Maximum Drawdown | 15.03 | |||
| Value At Risk | (4.89) | |||
| Potential Upside | 7.66 | |||
| Downside Variance | 6.94 | |||
| Semi Variance | 4.65 | |||
| Expected Short fall | (3.82) | |||
| Skewness | 0.4259 | |||
| Kurtosis | (0.40) |
Samsung Electronics Backtested Returns
Samsung Electronics appears to be very steady, given 3 months investment horizon. Samsung Electronics owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.27, which indicates the firm had a 0.27 % return per unit of risk over the last 3 months. By inspecting Samsung Electronics' technical indicators, you can evaluate if the expected return of 0.95% is justified by implied risk. Please review Samsung Electronics' Coefficient Of Variation of 359.53, risk adjusted performance of 0.2322, and Semi Deviation of 2.16 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Samsung Electronics holds a performance score of 21. The entity has a beta of 0.6, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Samsung Electronics' returns are expected to increase less than the market. However, during the bear market, the loss of holding Samsung Electronics is expected to be smaller as well. Please check Samsung Electronics' value at risk, expected short fall, and the relationship between the treynor ratio and downside variance , to make a quick decision on whether Samsung Electronics' existing price patterns will revert.
Auto-correlation | 0.70 |
Good predictability
Samsung Electronics Co has good predictability. Overlapping area represents the amount of predictability between Samsung Electronics time series from 17th of November 2025 to 1st of January 2026 and 1st of January 2026 to 15th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Samsung Electronics price movement. The serial correlation of 0.7 indicates that around 70.0% of current Samsung Electronics price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.7 | |
| Spearman Rank Test | 0.67 | |
| Residual Average | 0.0 | |
| Price Variance | 26.2 K |
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 Normalized Average True Range is used to analyze tradable apportunities for Samsung Electronics across different markets.
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.
Samsung Electronics February 15, 2026 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 | 0.2322 | |||
| Market Risk Adjusted Performance | 1.65 | |||
| Mean Deviation | 2.94 | |||
| Semi Deviation | 2.16 | |||
| Downside Deviation | 2.63 | |||
| Coefficient Of Variation | 359.53 | |||
| Standard Deviation | 3.6 | |||
| Variance | 12.96 | |||
| Information Ratio | 0.2587 | |||
| Jensen Alpha | 0.9551 | |||
| Total Risk Alpha | 0.7239 | |||
| Sortino Ratio | 0.3535 | |||
| Treynor Ratio | 1.64 | |||
| Maximum Drawdown | 15.03 | |||
| Value At Risk | (4.89) | |||
| Potential Upside | 7.66 | |||
| Downside Variance | 6.94 | |||
| Semi Variance | 4.65 | |||
| Expected Short fall | (3.82) | |||
| Skewness | 0.4259 | |||
| Kurtosis | (0.40) |
Samsung Electronics February 15, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Samsung stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.02 | ||
| Daily Balance Of Power | 1.17 | ||
| Rate Of Daily Change | 1.03 | ||
| Day Median Price | 2,630 | ||
| Day Typical Price | 2,633 | ||
| Price Action Indicator | 45.00 | ||
| Market Facilitation Index | 60.00 |
Complementary Tools for Samsung Stock analysis
When running Samsung Electronics' price analysis, check to measure Samsung Electronics' 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 Electronics is operating at the current time. Most of Samsung Electronics' value examination focuses on studying past and present price action to predict the probability of Samsung Electronics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Samsung Electronics' price. Additionally, you may evaluate how the addition of Samsung Electronics to your portfolios can decrease your overall portfolio volatility.
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