TriMas (Germany) Chance of Future Stock Price Finishing Under 24.78
| MQ1 Stock | EUR 21.00 2.00 8.70% |
TriMas |
TriMas 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 TriMas for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for TriMas can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| TriMas generated a negative expected return over the last 90 days | |
| Over 99.0% of the company shares are owned by institutional investors |
TriMas 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 TriMas Stock often depends not only on the future outlook of the current and potential TriMas' 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. TriMas' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 42 M |
TriMas Technical Analysis
TriMas' future price can be derived by breaking down and analyzing its technical indicators over time. TriMas Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of TriMas. In general, you should focus on analyzing TriMas Stock price patterns and their correlations with different microeconomic environments and drivers.
TriMas Predictive Forecast Models
TriMas' time-series forecasting models is one of many TriMas' 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 TriMas' 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 TriMas
Checking the ongoing alerts about TriMas for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for TriMas help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| TriMas generated a negative expected return over the last 90 days | |
| Over 99.0% of the company shares are owned by institutional investors |
Additional Information and Resources on Investing in TriMas Stock
When determining whether TriMas is a strong investment it is important to analyze TriMas' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact TriMas' future performance. For an informed investment choice regarding TriMas Stock, refer to the following important reports:Check out TriMas Backtesting, TriMas Valuation, TriMas Correlation, TriMas Hype Analysis, TriMas Volatility, TriMas History as well as TriMas Performance. For more detail on how to invest in TriMas Stock please use our How to Invest in TriMas guide.You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.