Crédit Agricole (Germany) Technical Analysis
XCA Stock | EUR 12.54 0.11 0.88% |
As of the 2nd of December, Crédit Agricole shows the risk adjusted performance of (0.06), and Mean Deviation of 1.08. In respect to fundamental indicators, the technical analysis model gives you tools to check existing technical drivers of Crédit Agricole, as well as the relationship between them. Please confirm Crdit Agricole SA treynor ratio, value at risk, and the relationship between the information ratio and maximum drawdown to decide if Crdit Agricole SA is priced correctly, providing market reflects its regular price of 12.54 per share.
Crédit Agricole Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Crédit, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CréditCrédit |
Crédit Agricole 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.
Crdit Agricole SA Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Crdit Agricole SA volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Crdit Agricole SA Trend Analysis
Use this graph to draw trend lines for Crdit Agricole SA. You can use it to identify possible trend reversals for Crédit Agricole 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 Crédit Agricole price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Crédit Agricole Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Crdit Agricole SA applied against its price change over selected period. The best fit line has a slop of 0.02 , which may suggest that Crdit Agricole SA market price will keep on failing further. It has 122 observation points and a regression sum of squares at 18.63, which is the sum of squared deviations for the predicted Crédit Agricole price change compared to its average price change.About Crédit Agricole 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 Crdit Agricole SA 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 Crdit Agricole SA based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Crdit Agricole SA price pattern first instead of the macroeconomic environment surrounding Crdit Agricole SA. By analyzing Crédit Agricole'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 Crédit Agricole'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 Crédit Agricole specific price patterns or momentum indicators. Please read more on our technical analysis page.
Crédit Agricole December 2, 2024 Technical Indicators
Most technical analysis of Crédit 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 Crédit from various momentum indicators to cycle indicators. When you analyze Crédit 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 | (0.06) | |||
Market Risk Adjusted Performance | 0.7012 | |||
Mean Deviation | 1.08 | |||
Coefficient Of Variation | (1,140) | |||
Standard Deviation | 1.52 | |||
Variance | 2.31 | |||
Information Ratio | (0.18) | |||
Jensen Alpha | (0.12) | |||
Total Risk Alpha | (0.40) | |||
Treynor Ratio | 0.6912 | |||
Maximum Drawdown | 8.47 | |||
Value At Risk | (2.51) | |||
Potential Upside | 2.12 | |||
Skewness | (1.02) | |||
Kurtosis | 2.62 |
Complementary Tools for Crédit Stock analysis
When running Crédit Agricole's price analysis, check to measure Crédit Agricole'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 Crédit Agricole is operating at the current time. Most of Crédit Agricole's value examination focuses on studying past and present price action to predict the probability of Crédit Agricole's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Crédit Agricole's price. Additionally, you may evaluate how the addition of Crédit Agricole to your portfolios can decrease your overall portfolio volatility.
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