ML SYSTEM (Germany) Technical Analysis
| 6UX Stock | EUR 4.22 0.17 3.87% |
As of the 20th of February, ML SYSTEM owns the Market Risk Adjusted Performance of 0.5672, mean deviation of 2.01, and Standard Deviation of 2.64. ML SYSTEM SA technical analysis lets you operate past data patterns with an objective to determine a pattern that forecasts the direction of the firm's future prices. Please verify ML SYSTEM SA mean deviation, standard deviation, treynor ratio, as well as the relationship between the downside deviation and information ratio to decide if ML SYSTEM SA is priced some-what accurately, providing market reflects its prevailing price of 4.22 per share.
ML SYSTEM Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as 6UX, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to 6UX6UX |
ML SYSTEM '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 ML SYSTEM'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 ML SYSTEM.
| 11/22/2025 |
| 02/20/2026 |
If you would invest 0.00 in ML SYSTEM on November 22, 2025 and sell it all today you would earn a total of 0.00 from holding ML SYSTEM SA or generate 0.0% return on investment in ML SYSTEM over 90 days. ML SYSTEM is related to or competes with PT Bank, BK MANDIRI, PT Bank, Samsung Electronics, Samsung Electronics, Samsung Electronics, and Samsung Electronics. ML System S.A. engages in the design, engineering, and production of building-integrated photovoltaic cells and modules More
ML SYSTEM 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 ML SYSTEM'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 ML SYSTEM SA upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.24 | |||
| Information Ratio | 0.0566 | |||
| Maximum Drawdown | 11.52 | |||
| Value At Risk | (3.82) | |||
| Potential Upside | 5.62 |
ML SYSTEM Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ML SYSTEM's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ML SYSTEM's standard deviation. In reality, there are many statistical measures that can use ML SYSTEM historical prices to predict the future ML SYSTEM's volatility.| Risk Adjusted Performance | 0.0689 | |||
| Jensen Alpha | 0.1835 | |||
| Total Risk Alpha | 0.0185 | |||
| Sortino Ratio | 0.0667 | |||
| Treynor Ratio | 0.5572 |
ML SYSTEM February 20, 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 | 0.0689 | |||
| Market Risk Adjusted Performance | 0.5672 | |||
| Mean Deviation | 2.01 | |||
| Semi Deviation | 2.03 | |||
| Downside Deviation | 2.24 | |||
| Coefficient Of Variation | 1239.27 | |||
| Standard Deviation | 2.64 | |||
| Variance | 6.97 | |||
| Information Ratio | 0.0566 | |||
| Jensen Alpha | 0.1835 | |||
| Total Risk Alpha | 0.0185 | |||
| Sortino Ratio | 0.0667 | |||
| Treynor Ratio | 0.5572 | |||
| Maximum Drawdown | 11.52 | |||
| Value At Risk | (3.82) | |||
| Potential Upside | 5.62 | |||
| Downside Variance | 5.02 | |||
| Semi Variance | 4.12 | |||
| Expected Short fall | (2.58) | |||
| Skewness | 0.5416 | |||
| Kurtosis | 0.044 |
ML SYSTEM SA Backtested Returns
ML SYSTEM appears to be slightly risky, given 3 months investment horizon. ML SYSTEM SA retains Efficiency (Sharpe Ratio) of 0.11, which conveys that the firm had a 0.11 % return per unit of price deviation over the last 3 months. We have found twenty-seven technical indicators for ML SYSTEM, which you can use to evaluate the volatility of the firm. Please exercise ML SYSTEM's Standard Deviation of 2.64, market risk adjusted performance of 0.5672, and Mean Deviation of 2.01 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, ML SYSTEM holds a performance score of 8. The company owns a Beta (Systematic Risk) of 0.36, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, ML SYSTEM's returns are expected to increase less than the market. However, during the bear market, the loss of holding ML SYSTEM is expected to be smaller as well. Please check ML SYSTEM's information ratio, treynor ratio, and the relationship between the downside deviation and total risk alpha , to make a quick decision on whether ML SYSTEM's current price history will revert.
Auto-correlation | -0.28 |
Weak reverse predictability
ML SYSTEM SA has weak reverse predictability. Overlapping area represents the amount of predictability between ML SYSTEM time series from 22nd of November 2025 to 6th of January 2026 and 6th of January 2026 to 20th 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 ML SYSTEM SA price movement. The serial correlation of -0.28 indicates that nearly 28.0% of current ML SYSTEM price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.28 | |
| Spearman Rank Test | -0.06 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
ML SYSTEM 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.
ML SYSTEM SA Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. 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 ML SYSTEM SA volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About ML SYSTEM 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 ML SYSTEM SA 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 ML SYSTEM SA based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on ML SYSTEM SA price pattern first instead of the macroeconomic environment surrounding ML SYSTEM SA. By analyzing ML SYSTEM'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 ML SYSTEM'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 ML SYSTEM specific price patterns or momentum indicators. Please read more on our technical analysis page.
ML SYSTEM February 20, 2026 Technical Indicators
Most technical analysis of 6UX 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 6UX from various momentum indicators to cycle indicators. When you analyze 6UX 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 | 0.0689 | |||
| Market Risk Adjusted Performance | 0.5672 | |||
| Mean Deviation | 2.01 | |||
| Semi Deviation | 2.03 | |||
| Downside Deviation | 2.24 | |||
| Coefficient Of Variation | 1239.27 | |||
| Standard Deviation | 2.64 | |||
| Variance | 6.97 | |||
| Information Ratio | 0.0566 | |||
| Jensen Alpha | 0.1835 | |||
| Total Risk Alpha | 0.0185 | |||
| Sortino Ratio | 0.0667 | |||
| Treynor Ratio | 0.5572 | |||
| Maximum Drawdown | 11.52 | |||
| Value At Risk | (3.82) | |||
| Potential Upside | 5.62 | |||
| Downside Variance | 5.02 | |||
| Semi Variance | 4.12 | |||
| Expected Short fall | (2.58) | |||
| Skewness | 0.5416 | |||
| Kurtosis | 0.044 |
ML SYSTEM February 20, 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 6UX 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 | 0.00 | ||
| Daily Balance Of Power | (Huge) | ||
| Rate Of Daily Change | 0.96 | ||
| Day Median Price | 4.22 | ||
| Day Typical Price | 4.22 | ||
| Price Action Indicator | (0.08) |
Complementary Tools for 6UX Stock analysis
When running ML SYSTEM's price analysis, check to measure ML SYSTEM'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 ML SYSTEM is operating at the current time. Most of ML SYSTEM's value examination focuses on studying past and present price action to predict the probability of ML SYSTEM's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ML SYSTEM's price. Additionally, you may evaluate how the addition of ML SYSTEM to your portfolios can decrease your overall portfolio volatility.
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