Traton SE (Germany) Analysis
| 8TRA Stock | EUR 27.78 0.05 0.18% |
Traton SE is fairly valued with Real Value of 27.23 and Hype Value of 27.78. The main objective of Traton SE stock analysis is to determine its intrinsic value, which is an estimate of what Traton SE is worth, separate from its market price. There are two main types of Traton SE's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect Traton SE's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of Traton SE's stock to identify patterns and trends that may indicate its future price movements.
The Traton SE stock is traded in Germany on Munich 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. Traton SE is usually not traded on GermanUnityDay, Christmas Day, Boxing Day, New Year 's Day, Good Friday, Easter Monday, International Workers ' Day. Traton Stock trading window is adjusted to Europe/Berlin timezone.
Traton |
Traton Stock Analysis Notes
The company has Price-to-Book (P/B) ratio of 0.51. In the past many companies with similar price-to-book ratios have beat the market. Traton SE had not issued any dividends in recent years.Traton SE Investment Alerts
| Traton SE generated a negative expected return over the last 90 days |
Technical Drivers
As of the 21st of January, Traton SE has the Risk Adjusted Performance of (0.02), coefficient of variation of (2,812), and Variance of 5.74. Our technical analysis interface makes it possible for you to check existing technical drivers of Traton SE, as well as the relationship between them.Traton SE Price Movement Analysis
The output start index for this execution was twenty-five with a total number of output elements of thirty-six. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Traton SE middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Traton SE. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Traton SE Outstanding Bonds
Traton SE issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. Traton SE uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most Traton bonds can be classified according to their maturity, which is the date when Traton SE has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.
| Dana 575 percent Corp BondUS235822AB96 | View | |
| MPLX LP 4125 Corp BondUS55336VAK61 | View | |
| MPLX LP 52 Corp BondUS55336VAL45 | View | |
| Morgan Stanley 3591 Corp BondUS61744YAK47 | View | |
| Morgan Stanley 3971 Corp BondUS61744YAL20 | View |
Traton SE Predictive Daily Indicators
Traton SE 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 Traton SE 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.
Traton SE Forecast Models
Traton SE's time-series forecasting models are one of many Traton SE'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 Traton SE'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 Traton SE to your portfolios without increasing risk or reducing expected return.Did you try this?
Run Sync Your Broker Now
Sync Your BrokerSync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. |
| All Next | Launch Module |
Additional Tools for Traton Stock Analysis
When running Traton SE's price analysis, check to measure Traton SE'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 Traton SE is operating at the current time. Most of Traton SE's value examination focuses on studying past and present price action to predict the probability of Traton SE's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Traton SE's price. Additionally, you may evaluate how the addition of Traton SE to your portfolios can decrease your overall portfolio volatility.