CyberAgent (Germany) Technical Analysis
| CL2 Stock | EUR 7.20 0.35 5.11% |
As of the 7th of February, CyberAgent shows the risk adjusted performance of (0.08), and Mean Deviation of 1.53. 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 coefficient of variation, variance, and the relationship between the mean deviation and standard deviation to decide if CyberAgent is priced correctly, providing market reflects its regular price of 7.2 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 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to CyberAgent's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of CyberAgent.
| 11/09/2025 |
| 02/07/2026 |
If you would invest 0.00 in CyberAgent on November 9, 2025 and sell it all today you would earn a total of 0.00 from holding CyberAgent or generate 0.0% return on investment in CyberAgent over 90 days. CyberAgent is related to or competes with National Bank, REVO INSURANCE, Natus Medical, GLOBUS MEDICAL, Advanced Medical, ABN AMRO, and Laurentian Bank. CyberAgent, Inc. engages in the media, Internet advertising, game, and investment training businesses primarily in Japan More
CyberAgent Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure CyberAgent's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess CyberAgent upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 14.23 | |||
| Value At Risk | (3.45) | |||
| Potential Upside | 2.72 |
CyberAgent Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CyberAgent's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CyberAgent's standard deviation. In reality, there are many statistical measures that can use CyberAgent historical prices to predict the future CyberAgent's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.28) | |||
| Total Risk Alpha | (0.46) | |||
| Treynor Ratio | (0.55) |
CyberAgent February 7, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.08) | |||
| Market Risk Adjusted Performance | (0.54) | |||
| Mean Deviation | 1.53 | |||
| Coefficient Of Variation | (927.94) | |||
| Standard Deviation | 2.19 | |||
| Variance | 4.8 | |||
| Information Ratio | (0.15) | |||
| Jensen Alpha | (0.28) | |||
| Total Risk Alpha | (0.46) | |||
| Treynor Ratio | (0.55) | |||
| Maximum Drawdown | 14.23 | |||
| Value At Risk | (3.45) | |||
| Potential Upside | 2.72 | |||
| Skewness | (0.67) | |||
| Kurtosis | 3.38 |
CyberAgent Backtested Returns
CyberAgent secures Sharpe Ratio (or Efficiency) of -0.11, which signifies that the company had a -0.11 % return per unit of standard deviation over the last 3 months. CyberAgent exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm CyberAgent's risk adjusted performance of (0.08), and Mean Deviation of 1.53 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.45, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, CyberAgent's returns are expected to increase less than the market. However, during the bear market, the loss of holding CyberAgent is expected to be smaller as well. At this point, CyberAgent has a negative expected return of -0.25%. Please make sure to confirm CyberAgent's coefficient of variation, variance, and the relationship between the mean deviation and standard deviation , to decide if CyberAgent performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.03 |
Very weak reverse predictability
CyberAgent has very weak reverse predictability. Overlapping area represents the amount of predictability between CyberAgent time series from 9th of November 2025 to 24th of December 2025 and 24th of December 2025 to 7th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of CyberAgent price movement. The serial correlation of -0.03 indicates that only 3.0% of current CyberAgent price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.03 | |
| Spearman Rank Test | 0.06 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
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
The output start index for this execution was fifty with a total number of output elements of eleven. 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.
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 February 7, 2026 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 | (0.08) | |||
| Market Risk Adjusted Performance | (0.54) | |||
| Mean Deviation | 1.53 | |||
| Coefficient Of Variation | (927.94) | |||
| Standard Deviation | 2.19 | |||
| Variance | 4.8 | |||
| Information Ratio | (0.15) | |||
| Jensen Alpha | (0.28) | |||
| Total Risk Alpha | (0.46) | |||
| Treynor Ratio | (0.55) | |||
| Maximum Drawdown | 14.23 | |||
| Value At Risk | (3.45) | |||
| Potential Upside | 2.72 | |||
| Skewness | (0.67) | |||
| Kurtosis | 3.38 |
CyberAgent February 7, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as CyberAgent stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.05 | ||
| Day Median Price | 7.20 | ||
| Day Typical Price | 7.20 | ||
| Price Action Indicator | 0.18 |
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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