DAIMLER TRUCK (Germany) Analysis

DTG1 Stock   21.60  0.20  0.93%   
DAIMLER TRUCK SPADS12 is undervalued with Real Value of 0.0 and Hype Value of 0.0. The main objective of DAIMLER TRUCK stock analysis is to determine its intrinsic value, which is an estimate of what DAIMLER TRUCK SPADS12 is worth, separate from its market price. There are two main types of DAIMLER TRUCK's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect DAIMLER TRUCK's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of DAIMLER TRUCK's stock to identify patterns and trends that may indicate its future price movements.
The DAIMLER TRUCK stock is traded in Germany on Frankfurt Exchange, with the market opening at 08:00:00 and closing at 22:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Germany. Here, you can get updates on important government artifacts, including earning estimates, SEC corporate filings, announcements, and DAIMLER TRUCK's ongoing operational relationships across important fundamental and technical indicators.
  
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in DAIMLER TRUCK SPADS12. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as various price indices.

DAIMLER TRUCK SPADS12 Investment Alerts

DAIMLER TRUCK had very high historical volatility over the last 90 days

Technical Drivers

As of the 31st of January, DAIMLER TRUCK shows the mean deviation of 2.14, and Downside Deviation of 2.44. Our technical analysis interface provides you with a way to check potential technical drivers of DAIMLER TRUCK SPADS12, as well as the relationship between them. Please confirm DAIMLER TRUCK SPADS12 downside deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if DAIMLER TRUCK SPADS12 is priced fairly, providing market reflects its regular price of 21.6 per share.

DAIMLER TRUCK SPADS12 Price Movement Analysis

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The output start index for this execution was twenty-three with a total number of output elements of thirty-eight. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. DAIMLER TRUCK 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 DAIMLER TRUCK SPADS12. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.

DAIMLER TRUCK Outstanding Bonds

DAIMLER TRUCK 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. DAIMLER TRUCK SPADS12 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 DAIMLER bonds can be classified according to their maturity, which is the date when DAIMLER TRUCK SPADS12 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.

DAIMLER TRUCK Predictive Daily Indicators

DAIMLER TRUCK 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 DAIMLER TRUCK 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.

DAIMLER TRUCK Forecast Models

DAIMLER TRUCK's time-series forecasting models are one of many DAIMLER TRUCK'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 DAIMLER TRUCK'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.

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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 DAIMLER TRUCK to your portfolios without increasing risk or reducing expected return.

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Complementary Tools for DAIMLER Stock analysis

When running DAIMLER TRUCK's price analysis, check to measure DAIMLER TRUCK'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 DAIMLER TRUCK is operating at the current time. Most of DAIMLER TRUCK's value examination focuses on studying past and present price action to predict the probability of DAIMLER TRUCK's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DAIMLER TRUCK's price. Additionally, you may evaluate how the addition of DAIMLER TRUCK to your portfolios can decrease your overall portfolio volatility.
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