COMPUTER MODELLING (Germany) Technical Analysis
| 5TJ Stock | EUR 3.80 0.00 0.00% |
As of the 4th of January, COMPUTER MODELLING shows the mean deviation of 0.0398, and Risk Adjusted Performance of 0.0604. COMPUTER MODELLING technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Please confirm COMPUTER MODELLING standard deviation, total risk alpha, maximum drawdown, as well as the relationship between the variance and treynor ratio to decide if COMPUTER MODELLING is priced favorably, providing market reflects its regular price of 3.8 per share.
COMPUTER MODELLING Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as COMPUTER, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to COMPUTERCOMPUTER |
COMPUTER MODELLING technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
COMPUTER MODELLING Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of COMPUTER MODELLING volatility. High ATR values indicate high volatility, and low values indicate low volatility.
COMPUTER MODELLING Trend Analysis
Use this graph to draw trend lines for COMPUTER MODELLING. You can use it to identify possible trend reversals for COMPUTER MODELLING as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual COMPUTER MODELLING price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.COMPUTER MODELLING Best Fit Change Line
The following chart estimates an ordinary least squares regression model for COMPUTER MODELLING applied against its price change over selected period. The best fit line has a slop of 0.001 , which means COMPUTER MODELLING will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.04, which is the sum of squared deviations for the predicted COMPUTER MODELLING price change compared to its average price change.About COMPUTER MODELLING Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of COMPUTER MODELLING on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of COMPUTER MODELLING based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on COMPUTER MODELLING price pattern first instead of the macroeconomic environment surrounding COMPUTER MODELLING. By analyzing COMPUTER MODELLING's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of COMPUTER MODELLING's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to COMPUTER MODELLING specific price patterns or momentum indicators. Please read more on our technical analysis page.
COMPUTER MODELLING January 4, 2025 Technical Indicators
Most technical analysis of COMPUTER help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for COMPUTER from various momentum indicators to cycle indicators. When you analyze COMPUTER charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0604 | |||
| Market Risk Adjusted Performance | (0.58) | |||
| Mean Deviation | 0.0398 | |||
| Coefficient Of Variation | 812.4 | |||
| Standard Deviation | 0.1641 | |||
| Variance | 0.0269 | |||
| Information Ratio | (0.01) | |||
| Jensen Alpha | 0.0104 | |||
| Total Risk Alpha | 0.0077 | |||
| Treynor Ratio | (0.59) | |||
| Maximum Drawdown | 1.33 | |||
| Skewness | 8.12 | |||
| Kurtosis | 66.0 |
Complementary Tools for COMPUTER Stock analysis
When running COMPUTER MODELLING's price analysis, check to measure COMPUTER MODELLING'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 COMPUTER MODELLING is operating at the current time. Most of COMPUTER MODELLING's value examination focuses on studying past and present price action to predict the probability of COMPUTER MODELLING's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move COMPUTER MODELLING's price. Additionally, you may evaluate how the addition of COMPUTER MODELLING to your portfolios can decrease your overall portfolio volatility.
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