CyberAgent (Germany) Technical Analysis
| CL2 Stock | EUR 6.75 0.05 0.74% |
As of the 23rd of December, CyberAgent shows the mean deviation of 1.4, and Risk Adjusted Performance of 0.0276. CyberAgent 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 CyberAgent semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation to decide if CyberAgent is priced correctly, providing market reflects its regular price of 6.75 per share.
CyberAgent Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as CyberAgent, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CyberAgentCyberAgent |
CyberAgent 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.
CyberAgent Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 CyberAgent volatility. High ATR values indicate high volatility, and low values indicate low volatility.
CyberAgent Trend Analysis
Use this graph to draw trend lines for CyberAgent. You can use it to identify possible trend reversals for CyberAgent 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 CyberAgent price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.CyberAgent Best Fit Change Line
The following chart estimates an ordinary least squares regression model for CyberAgent applied against its price change over selected period. The best fit line has a slop of 0.01 , which means CyberAgent will continue generating value for investors. It has 122 observation points and a regression sum of squares at 4.49, which is the sum of squared deviations for the predicted CyberAgent price change compared to its average price change.About CyberAgent 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 CyberAgent 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 CyberAgent based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on CyberAgent price pattern first instead of the macroeconomic environment surrounding CyberAgent. By analyzing CyberAgent'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 CyberAgent'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 CyberAgent specific price patterns or momentum indicators. Please read more on our technical analysis page.
CyberAgent December 23, 2024 Technical Indicators
Most technical analysis of CyberAgent 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 CyberAgent from various momentum indicators to cycle indicators. When you analyze CyberAgent 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 | 0.0276 | |||
| Market Risk Adjusted Performance | 0.0794 | |||
| Mean Deviation | 1.4 | |||
| Semi Deviation | 1.72 | |||
| Downside Deviation | 2.06 | |||
| Coefficient Of Variation | 3629.01 | |||
| Standard Deviation | 1.85 | |||
| Variance | 3.44 | |||
| Information Ratio | 0.0102 | |||
| Jensen Alpha | 0.0279 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0092 | |||
| Treynor Ratio | 0.0694 | |||
| Maximum Drawdown | 9.63 | |||
| Value At Risk | (2.16) | |||
| Potential Upside | 3.23 | |||
| Downside Variance | 4.26 | |||
| Semi Variance | 2.97 | |||
| Expected Short fall | (1.76) | |||
| Skewness | (0.50) | |||
| Kurtosis | 1.65 |
Complementary Tools for CyberAgent Stock analysis
When running CyberAgent's price analysis, check to measure CyberAgent'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 CyberAgent is operating at the current time. Most of CyberAgent's value examination focuses on studying past and present price action to predict the probability of CyberAgent's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move CyberAgent's price. Additionally, you may evaluate how the addition of CyberAgent to your portfolios can decrease your overall portfolio volatility.
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