DATA MODUL (Germany) Analysis
| DAM Stock | EUR 21.00 1.00 4.55% |
DATA MODUL is overvalued with Real Value of 18.4 and Hype Value of 21.0. The main objective of DATA MODUL stock analysis is to determine its intrinsic value, which is an estimate of what DATA MODUL is worth, separate from its market price. There are two main types of DATA MODUL's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect DATA MODUL's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of DATA MODUL's stock to identify patterns and trends that may indicate its future price movements.
The DATA MODUL stock is traded in Germany on Dusseldorf Exchange, with the market opening at 08:00:00 and closing at 20:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Germany. DATA MODUL is usually not traded on Christmas Day, Boxing Day, New Year 's Day, Good Friday, Easter Monday, International Workers ' Day, GermanUnityDay. DATA Stock trading window is adjusted to Europe/Berlin timezone.
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DATA Stock Analysis Notes
The company has price-to-book (P/B) ratio of 1.58. Some equities with similar Price to Book (P/B) outperform the market in the long run. DATA MODUL last dividend was issued on the May 11, 2018.DATA MODUL Investment Alerts
| DATA MODUL generated a negative expected return over the last 90 days | |
| DATA MODUL generates negative cash flow from operations |
DATA MODUL Thematic Classifications
In addition to having DATA MODUL stock in your portfolios, you can add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your favorite investment opportunity, you can then obtain an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility. If you are a result-oriented investor, you can benefit from optimizing one of our existing themes to build an efficient portfolio against your specific investing outlook.
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DATA Market Capitalization
The company currently falls under 'Small-Cap' category with a current market capitalization of 218.62 M. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate DATA MODUL's market, we take the total number of its shares issued and multiply it by DATA MODUL's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.Technical Drivers
As of the 16th of June 2025, DATA MODUL shows the Standard Deviation of 2.07, market risk adjusted performance of (5.48), and Mean Deviation of 1.43. DATA MODUL technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity's future prices.DATA MODUL Price Movement Analysis
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The minimum time period for execution of this function requires larger time horizon. Please increase the time horizon for this function. The output start index for this execution was zero with a total number of output elements of zero. The Instantaneous Trendline is a moving-average-like indicator which is formed by removing the Dominant Cycle from DATA MODUL price series.
DATA MODUL Predictive Daily Indicators
DATA MODUL intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of DATA MODUL stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
DATA MODUL Forecast Models
DATA MODUL's time-series forecasting models are one of many DATA MODUL's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary DATA MODUL's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.Be your own money manager
As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our stock analysis tools, you can find out how much better you can do when adding DATA MODUL to your portfolios without increasing risk or reducing expected return.Did you try this?
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Additional Tools for DATA Stock Analysis
When running DATA MODUL's price analysis, check to measure DATA MODUL'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 DATA MODUL is operating at the current time. Most of DATA MODUL's value examination focuses on studying past and present price action to predict the probability of DATA MODUL's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DATA MODUL's price. Additionally, you may evaluate how the addition of DATA MODUL to your portfolios can decrease your overall portfolio volatility.