Turbon AG (Germany) Technical Analysis
| TUR Stock | EUR 2.74 0.02 0.74% |
As of the 1st of February, Turbon AG has the Risk Adjusted Performance of (0.15), variance of 1.63, and Coefficient Of Variation of (483.05). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Turbon AG, as well as the relationship between them. Please validate Turbon AG information ratio, potential upside, and the relationship between the standard deviation and maximum drawdown to decide if Turbon AG is priced more or less accurately, providing market reflects its prevalent price of 2.74 per share.
Turbon AG Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Turbon, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to TurbonTurbon |
Turbon AG '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 Turbon AG'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 Turbon AG.
| 11/03/2025 |
| 02/01/2026 |
If you would invest 0.00 in Turbon AG on November 3, 2025 and sell it all today you would earn a total of 0.00 from holding Turbon AG or generate 0.0% return on investment in Turbon AG over 90 days. Turbon AG is related to or competes with Amalphi Ag. Turbon AG manufactures and distributes imaging supplies worldwide More
Turbon AG 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 Turbon AG'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 Turbon AG upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.24) | |||
| Maximum Drawdown | 8.17 | |||
| Value At Risk | (2.60) | |||
| Potential Upside | 0.7463 |
Turbon AG Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Turbon AG's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Turbon AG's standard deviation. In reality, there are many statistical measures that can use Turbon AG historical prices to predict the future Turbon AG's volatility.| Risk Adjusted Performance | (0.15) | |||
| Jensen Alpha | (0.28) | |||
| Total Risk Alpha | (0.34) | |||
| Treynor Ratio | (3.85) |
Turbon AG February 1, 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 | (0.15) | |||
| Market Risk Adjusted Performance | (3.84) | |||
| Mean Deviation | 0.6632 | |||
| Coefficient Of Variation | (483.05) | |||
| Standard Deviation | 1.28 | |||
| Variance | 1.63 | |||
| Information Ratio | (0.24) | |||
| Jensen Alpha | (0.28) | |||
| Total Risk Alpha | (0.34) | |||
| Treynor Ratio | (3.85) | |||
| Maximum Drawdown | 8.17 | |||
| Value At Risk | (2.60) | |||
| Potential Upside | 0.7463 | |||
| Skewness | (2.51) | |||
| Kurtosis | 13.26 |
Turbon AG Backtested Returns
Turbon AG owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.23, which indicates the firm had a -0.23 % return per unit of risk over the last 3 months. Turbon AG exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Turbon AG's Coefficient Of Variation of (483.05), variance of 1.63, and Risk Adjusted Performance of (0.15) to confirm the risk estimate we provide. The entity has a beta of 0.0711, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Turbon AG's returns are expected to increase less than the market. However, during the bear market, the loss of holding Turbon AG is expected to be smaller as well. At this point, Turbon AG has a negative expected return of -0.3%. Please make sure to validate Turbon AG's potential upside, rate of daily change, period momentum indicator, as well as the relationship between the kurtosis and day typical price , to decide if Turbon AG performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.07 |
Virtually no predictability
Turbon AG has virtually no predictability. Overlapping area represents the amount of predictability between Turbon AG time series from 3rd of November 2025 to 18th of December 2025 and 18th of December 2025 to 1st 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 Turbon AG price movement. The serial correlation of 0.07 indicates that barely 7.0% of current Turbon AG price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.07 | |
| Spearman Rank Test | 0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Turbon AG 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.
Turbon AG Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Turbon AG volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Turbon AG 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 Turbon 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 Turbon AG based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Turbon AG price pattern first instead of the macroeconomic environment surrounding Turbon AG. By analyzing Turbon AG'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 Turbon AG'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 Turbon AG specific price patterns or momentum indicators. Please read more on our technical analysis page.
Turbon AG February 1, 2026 Technical Indicators
Most technical analysis of Turbon 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 Turbon from various momentum indicators to cycle indicators. When you analyze Turbon 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 | (0.15) | |||
| Market Risk Adjusted Performance | (3.84) | |||
| Mean Deviation | 0.6632 | |||
| Coefficient Of Variation | (483.05) | |||
| Standard Deviation | 1.28 | |||
| Variance | 1.63 | |||
| Information Ratio | (0.24) | |||
| Jensen Alpha | (0.28) | |||
| Total Risk Alpha | (0.34) | |||
| Treynor Ratio | (3.85) | |||
| Maximum Drawdown | 8.17 | |||
| Value At Risk | (2.60) | |||
| Potential Upside | 0.7463 | |||
| Skewness | (2.51) | |||
| Kurtosis | 13.26 |
Turbon AG February 1, 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 Turbon 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 | 1.01 | ||
| Day Median Price | 2.74 | ||
| Day Typical Price | 2.74 | ||
| Price Action Indicator | 0.01 |
Complementary Tools for Turbon Stock analysis
When running Turbon AG's price analysis, check to measure Turbon AG'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 Turbon AG is operating at the current time. Most of Turbon AG's value examination focuses on studying past and present price action to predict the probability of Turbon AG's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Turbon AG's price. Additionally, you may evaluate how the addition of Turbon AG to your portfolios can decrease your overall portfolio volatility.
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