Müller - (Germany) Technical Analysis
| MLL Stock | EUR 4.82 0.00 0.00% |
As of the 22nd of February, Müller - secures the Mean Deviation of 1.33, downside deviation of 2.42, and Risk Adjusted Performance of 0.0688. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Mller Die, as well as the relationship between them. Please verify Mller Die maximum drawdown, semi variance, and the relationship between the jensen alpha and potential upside to decide if Mller Die is priced some-what accurately, providing market reflects its recent price of 4.82 per share.
Müller - Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Müller, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MüllerMüller |
Müller - '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 Müller -'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 Müller -.
| 11/24/2025 |
| 02/22/2026 |
If you would invest 0.00 in Müller - on November 24, 2025 and sell it all today you would earn a total of 0.00 from holding Mller Die or generate 0.0% return on investment in Müller - over 90 days. Müller - is related to or competes with Applied Materials, Archer Materials, APPLIED MATERIALS, BOS BETTER, CARSALESCOM, GungHo Online, and MUTUIONLINE. Mller - Die lila Logistik AG provides consulting and implementation logistics services More
Müller - 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 Müller -'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 Mller Die upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.42 | |||
| Information Ratio | 0.0515 | |||
| Maximum Drawdown | 22.98 | |||
| Value At Risk | (2.73) | |||
| Potential Upside | 3.06 |
Müller - Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Müller -'s investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Müller -'s standard deviation. In reality, there are many statistical measures that can use Müller - historical prices to predict the future Müller -'s volatility.| Risk Adjusted Performance | 0.0688 | |||
| Jensen Alpha | 0.1767 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | 0.0585 | |||
| Treynor Ratio | 0.4242 |
Müller - February 22, 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 | 0.0688 | |||
| Market Risk Adjusted Performance | 0.4342 | |||
| Mean Deviation | 1.33 | |||
| Semi Deviation | 1.24 | |||
| Downside Deviation | 2.42 | |||
| Coefficient Of Variation | 1238.28 | |||
| Standard Deviation | 2.75 | |||
| Variance | 7.55 | |||
| Information Ratio | 0.0515 | |||
| Jensen Alpha | 0.1767 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | 0.0585 | |||
| Treynor Ratio | 0.4242 | |||
| Maximum Drawdown | 22.98 | |||
| Value At Risk | (2.73) | |||
| Potential Upside | 3.06 | |||
| Downside Variance | 5.85 | |||
| Semi Variance | 1.53 | |||
| Expected Short fall | (3.15) | |||
| Skewness | 4.29 | |||
| Kurtosis | 28.18 |
Mller Die Backtested Returns
At this point, Müller - is slightly risky. Mller Die has Sharpe Ratio of 0.0505, which conveys that the firm had a 0.0505 % return per unit of risk over the last 3 months. We have found twenty-five technical indicators for Müller -, which you can use to evaluate the volatility of the firm. Please verify Müller -'s Downside Deviation of 2.42, mean deviation of 1.33, and Risk Adjusted Performance of 0.0688 to check out if the risk estimate we provide is consistent with the expected return of 0.14%. Müller - has a performance score of 4 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 0.5, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Müller -'s returns are expected to increase less than the market. However, during the bear market, the loss of holding Müller - is expected to be smaller as well. Mller Die right now secures a risk of 2.79%. Please verify Mller Die maximum drawdown, semi variance, and the relationship between the sortino ratio and potential upside , to decide if Mller Die will be following its current price movements.
Auto-correlation | 0.57 |
Modest predictability
Mller Die has modest predictability. Overlapping area represents the amount of predictability between Müller - time series from 24th of November 2025 to 8th of January 2026 and 8th of January 2026 to 22nd 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 Mller Die price movement. The serial correlation of 0.57 indicates that roughly 57.0% of current Müller - price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.57 | |
| Spearman Rank Test | 0.51 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Müller - 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.
Mller Die Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. The Normalized Average True Range is used to analyze tradable apportunities for Mller Die across different markets.
About Müller - 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 Mller Die 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 Mller Die based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Mller Die price pattern first instead of the macroeconomic environment surrounding Mller Die. By analyzing Müller -'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 Müller -'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 Müller - specific price patterns or momentum indicators. Please read more on our technical analysis page.
Müller - February 22, 2026 Technical Indicators
Most technical analysis of Müller 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 Müller from various momentum indicators to cycle indicators. When you analyze Müller 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 | 0.0688 | |||
| Market Risk Adjusted Performance | 0.4342 | |||
| Mean Deviation | 1.33 | |||
| Semi Deviation | 1.24 | |||
| Downside Deviation | 2.42 | |||
| Coefficient Of Variation | 1238.28 | |||
| Standard Deviation | 2.75 | |||
| Variance | 7.55 | |||
| Information Ratio | 0.0515 | |||
| Jensen Alpha | 0.1767 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | 0.0585 | |||
| Treynor Ratio | 0.4242 | |||
| Maximum Drawdown | 22.98 | |||
| Value At Risk | (2.73) | |||
| Potential Upside | 3.06 | |||
| Downside Variance | 5.85 | |||
| Semi Variance | 1.53 | |||
| Expected Short fall | (3.15) | |||
| Skewness | 4.29 | |||
| Kurtosis | 28.18 |
Müller - February 22, 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 Müller 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 | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 4.82 | ||
| Day Typical Price | 4.82 | ||
| Price Action Indicator | 0.00 |
Complementary Tools for Müller Stock analysis
When running Müller -'s price analysis, check to measure Müller -'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 Müller - is operating at the current time. Most of Müller -'s value examination focuses on studying past and present price action to predict the probability of Müller -'s future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Müller -'s price. Additionally, you may evaluate how the addition of Müller - to your portfolios can decrease your overall portfolio volatility.
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