DATA MODUL (Germany) Probability of Future Stock Price Finishing Under 24.37
| DAM Stock | EUR 27.20 0.80 3.03% |
DATA |
DATA MODUL Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of DATA MODUL for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for DATA MODUL can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| DATA MODUL generates negative cash flow from operations |
DATA MODUL Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of DATA Stock often depends not only on the future outlook of the current and potential DATA MODUL's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. DATA MODUL's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 3.5 M | |
| Dividends Paid | -423 K | |
| Short Long Term Debt | 15 M |
DATA MODUL Technical Analysis
DATA MODUL's future price can be derived by breaking down and analyzing its technical indicators over time. DATA Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of DATA MODUL . In general, you should focus on analyzing DATA Stock price patterns and their correlations with different microeconomic environments and drivers.
DATA MODUL Predictive Forecast Models
DATA MODUL's time-series forecasting models is one of many DATA MODUL's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are 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. This 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 stock market movement and maximize returns from investment trading.
Things to note about DATA MODUL
Checking the ongoing alerts about DATA MODUL for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for DATA MODUL help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| DATA MODUL generates negative cash flow from operations |
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.