Swisscom Ag Stock Technical Analysis
| SCMWY Stock | USD 91.19 1.89 2.12% |
As of the 14th of February 2026, SwissCom has the Risk Adjusted Performance of 0.218, coefficient of variation of 375.44, and Semi Deviation of 0.4945. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of SwissCom AG, as well as the relationship between them.
SwissCom Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SwissCom, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SwissComSwissCom |
SwissCom '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 SwissCom's pink sheet 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 SwissCom.
| 11/16/2025 |
| 02/14/2026 |
If you would invest 0.00 in SwissCom on November 16, 2025 and sell it all today you would earn a total of 0.00 from holding SwissCom AG or generate 0.0% return on investment in SwissCom over 90 days. SwissCom is related to or competes with Nippon Telegraph, Telecom Argentina, Deutsche Telekom, Rogers Communications, Magyar Telekom, Hellenic Telecommunicatio, and Telefonica. Swisscom AG provides telecommunication services primarily in Switzerland, Italy, and internationally More
SwissCom 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 SwissCom's pink sheet 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 SwissCom AG upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9006 | |||
| Information Ratio | 0.2061 | |||
| Maximum Drawdown | 5.47 | |||
| Value At Risk | (1.25) | |||
| Potential Upside | 2.27 |
SwissCom Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SwissCom's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SwissCom's standard deviation. In reality, there are many statistical measures that can use SwissCom historical prices to predict the future SwissCom's volatility.| Risk Adjusted Performance | 0.218 | |||
| Jensen Alpha | 0.3109 | |||
| Total Risk Alpha | 0.2129 | |||
| Sortino Ratio | 0.2655 | |||
| Treynor Ratio | (1.51) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SwissCom's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
SwissCom February 14, 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 | 0.218 | |||
| Market Risk Adjusted Performance | (1.50) | |||
| Mean Deviation | 0.8598 | |||
| Semi Deviation | 0.4945 | |||
| Downside Deviation | 0.9006 | |||
| Coefficient Of Variation | 375.44 | |||
| Standard Deviation | 1.16 | |||
| Variance | 1.35 | |||
| Information Ratio | 0.2061 | |||
| Jensen Alpha | 0.3109 | |||
| Total Risk Alpha | 0.2129 | |||
| Sortino Ratio | 0.2655 | |||
| Treynor Ratio | (1.51) | |||
| Maximum Drawdown | 5.47 | |||
| Value At Risk | (1.25) | |||
| Potential Upside | 2.27 | |||
| Downside Variance | 0.811 | |||
| Semi Variance | 0.2445 | |||
| Expected Short fall | (1.00) | |||
| Skewness | 1.0 | |||
| Kurtosis | 2.41 |
SwissCom AG Backtested Returns
SwissCom appears to be very steady, given 3 months investment horizon. SwissCom AG owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.31, which indicates the firm had a 0.31 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for SwissCom AG, which you can use to evaluate the volatility of the company. Please review SwissCom's Semi Deviation of 0.4945, coefficient of variation of 375.44, and Risk Adjusted Performance of 0.218 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, SwissCom holds a performance score of 24. The entity has a beta of -0.2, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SwissCom are expected to decrease at a much lower rate. During the bear market, SwissCom is likely to outperform the market. Please check SwissCom's total risk alpha, downside variance, daily balance of power, as well as the relationship between the maximum drawdown and skewness , to make a quick decision on whether SwissCom's existing price patterns will revert.
Auto-correlation | 0.13 |
Insignificant predictability
SwissCom AG has insignificant predictability. Overlapping area represents the amount of predictability between SwissCom time series from 16th of November 2025 to 31st of December 2025 and 31st of December 2025 to 14th 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 SwissCom AG price movement. The serial correlation of 0.13 indicates that less than 13.0% of current SwissCom price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.13 | |
| Spearman Rank Test | -0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 31.14 |
SwissCom technical pink sheet 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, pink sheet market cycles, or different charting patterns.
SwissCom AG 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 SwissCom AG across different markets.
About SwissCom 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 SwissCom AG 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 SwissCom AG based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on SwissCom AG price pattern first instead of the macroeconomic environment surrounding SwissCom AG. By analyzing SwissCom'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 SwissCom'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 SwissCom specific price patterns or momentum indicators. Please read more on our technical analysis page.
SwissCom February 14, 2026 Technical Indicators
Most technical analysis of SwissCom 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 SwissCom from various momentum indicators to cycle indicators. When you analyze SwissCom 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 | 0.218 | |||
| Market Risk Adjusted Performance | (1.50) | |||
| Mean Deviation | 0.8598 | |||
| Semi Deviation | 0.4945 | |||
| Downside Deviation | 0.9006 | |||
| Coefficient Of Variation | 375.44 | |||
| Standard Deviation | 1.16 | |||
| Variance | 1.35 | |||
| Information Ratio | 0.2061 | |||
| Jensen Alpha | 0.3109 | |||
| Total Risk Alpha | 0.2129 | |||
| Sortino Ratio | 0.2655 | |||
| Treynor Ratio | (1.51) | |||
| Maximum Drawdown | 5.47 | |||
| Value At Risk | (1.25) | |||
| Potential Upside | 2.27 | |||
| Downside Variance | 0.811 | |||
| Semi Variance | 0.2445 | |||
| Expected Short fall | (1.00) | |||
| Skewness | 1.0 | |||
| Kurtosis | 2.41 |
SwissCom February 14, 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 SwissCom 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 | 69.14 | ||
| Daily Balance Of Power | 1.85 | ||
| Rate Of Daily Change | 1.02 | ||
| Day Median Price | 91.09 | ||
| Day Typical Price | 91.12 | ||
| Price Action Indicator | 1.05 | ||
| Market Facilitation Index | 0.0002 |
Additional Tools for SwissCom Pink Sheet Analysis
When running SwissCom's price analysis, check to measure SwissCom'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 SwissCom is operating at the current time. Most of SwissCom's value examination focuses on studying past and present price action to predict the probability of SwissCom's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SwissCom's price. Additionally, you may evaluate how the addition of SwissCom to your portfolios can decrease your overall portfolio volatility.