Micro Systemation (Sweden) Technical Analysis
| MSAB-B Stock | SEK 69.40 1.00 1.46% |
As of the 9th of February, Micro Systemation secures the Downside Deviation of 2.53, risk adjusted performance of 0.02, and Mean Deviation of 2.29. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Micro Systemation, as well as the relationship between them.
Micro Systemation Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Micro, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MicroMicro |
Micro Systemation '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 Micro Systemation's 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 Micro Systemation.
| 11/11/2025 |
| 02/09/2026 |
If you would invest 0.00 in Micro Systemation on November 11, 2025 and sell it all today you would earn a total of 0.00 from holding Micro Systemation AB or generate 0.0% return on investment in Micro Systemation over 90 days. Micro Systemation is related to or competes with Enea AB, Cint Group, FormPipe Software, Net Insight, Clavister Holding, Softronic, and Enad Global. Micro Systemation AB provides forensic technology for mobile device examination worldwide More
Micro Systemation 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 Micro Systemation's 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 Micro Systemation AB upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.53 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 20.41 | |||
| Value At Risk | (4.33) | |||
| Potential Upside | 4.62 |
Micro Systemation Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Micro Systemation's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Micro Systemation's standard deviation. In reality, there are many statistical measures that can use Micro Systemation historical prices to predict the future Micro Systemation's volatility.| Risk Adjusted Performance | 0.02 | |||
| Jensen Alpha | 0.0898 | |||
| Total Risk Alpha | (0.29) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | (0.07) |
Micro Systemation February 9, 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 | 0.02 | |||
| Market Risk Adjusted Performance | (0.06) | |||
| Mean Deviation | 2.29 | |||
| Semi Deviation | 2.32 | |||
| Downside Deviation | 2.53 | |||
| Coefficient Of Variation | 6477.48 | |||
| Standard Deviation | 3.35 | |||
| Variance | 11.2 | |||
| Information Ratio | (0.01) | |||
| Jensen Alpha | 0.0898 | |||
| Total Risk Alpha | (0.29) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | (0.07) | |||
| Maximum Drawdown | 20.41 | |||
| Value At Risk | (4.33) | |||
| Potential Upside | 4.62 | |||
| Downside Variance | 6.41 | |||
| Semi Variance | 5.4 | |||
| Expected Short fall | (3.08) | |||
| Skewness | 2.26 | |||
| Kurtosis | 10.41 |
Micro Systemation Backtested Returns
At this point, Micro Systemation is very steady. Micro Systemation has Sharpe Ratio of 0.0417, which conveys that the firm had a 0.0417 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Micro Systemation, which you can use to evaluate the volatility of the firm. Please verify Micro Systemation's Risk Adjusted Performance of 0.02, downside deviation of 2.53, and Mean Deviation of 2.29 to check out if the risk estimate we provide is consistent with the expected return of 0.14%. Micro Systemation has a performance score of 3 on a scale of 0 to 100. The company secures a Beta (Market Risk) of -0.6, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Micro Systemation are expected to decrease at a much lower rate. During the bear market, Micro Systemation is likely to outperform the market. Micro Systemation right now secures a risk of 3.46%. Please verify Micro Systemation AB coefficient of variation, jensen alpha, and the relationship between the downside deviation and standard deviation , to decide if Micro Systemation AB will be following its current price movements.
Auto-correlation | -0.47 |
Modest reverse predictability
Micro Systemation AB has modest reverse predictability. Overlapping area represents the amount of predictability between Micro Systemation time series from 11th of November 2025 to 26th of December 2025 and 26th of December 2025 to 9th 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 Micro Systemation price movement. The serial correlation of -0.47 indicates that about 47.0% of current Micro Systemation price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.47 | |
| Spearman Rank Test | -0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 14.91 |
Micro Systemation 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.
Micro Systemation 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 Micro Systemation volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Micro Systemation 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 Micro Systemation AB 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 Micro Systemation AB based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Micro Systemation price pattern first instead of the macroeconomic environment surrounding Micro Systemation. By analyzing Micro Systemation'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 Micro Systemation'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 Micro Systemation specific price patterns or momentum indicators. Please read more on our technical analysis page.
Micro Systemation February 9, 2026 Technical Indicators
Most technical analysis of Micro 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 Micro from various momentum indicators to cycle indicators. When you analyze Micro 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 | 0.02 | |||
| Market Risk Adjusted Performance | (0.06) | |||
| Mean Deviation | 2.29 | |||
| Semi Deviation | 2.32 | |||
| Downside Deviation | 2.53 | |||
| Coefficient Of Variation | 6477.48 | |||
| Standard Deviation | 3.35 | |||
| Variance | 11.2 | |||
| Information Ratio | (0.01) | |||
| Jensen Alpha | 0.0898 | |||
| Total Risk Alpha | (0.29) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | (0.07) | |||
| Maximum Drawdown | 20.41 | |||
| Value At Risk | (4.33) | |||
| Potential Upside | 4.62 | |||
| Downside Variance | 6.41 | |||
| Semi Variance | 5.4 | |||
| Expected Short fall | (3.08) | |||
| Skewness | 2.26 | |||
| Kurtosis | 10.41 |
Micro Systemation February 9, 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 Micro 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 | 0.06 | ||
| Daily Balance Of Power | 0.25 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 68.60 | ||
| Day Typical Price | 68.87 | ||
| Price Action Indicator | 1.30 | ||
| Market Facilitation Index | 4.00 |
Complementary Tools for Micro Stock analysis
When running Micro Systemation's price analysis, check to measure Micro Systemation'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 Micro Systemation is operating at the current time. Most of Micro Systemation's value examination focuses on studying past and present price action to predict the probability of Micro Systemation's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Micro Systemation's price. Additionally, you may evaluate how the addition of Micro Systemation to your portfolios can decrease your overall portfolio volatility.
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