Credit Agricole (France) Technical Analysis
ACA Stock | EUR 12.67 0.09 0.72% |
As of the 29th of November, Credit Agricole shows the mean deviation of 0.8812, and Risk Adjusted Performance of (0.08). Credit Agricole SA 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.
Credit 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 Credit, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CreditCredit |
Credit 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.
Credit Agricole SA 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 Credit Agricole SA volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Credit Agricole SA Trend Analysis
Use this graph to draw trend lines for Credit Agricole SA. You can use it to identify possible trend reversals for Credit 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 Credit Agricole price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Credit Agricole Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Credit Agricole SA applied against its price change over selected period. The best fit line has a slop of 0.02 , which may suggest that Credit Agricole SA market price will keep on failing further. It has 122 observation points and a regression sum of squares at 16.87, which is the sum of squared deviations for the predicted Credit Agricole price change compared to its average price change.About Credit 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 Credit 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 Credit Agricole SA based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Credit Agricole SA price pattern first instead of the macroeconomic environment surrounding Credit Agricole SA. By analyzing Credit 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 Credit 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 Credit Agricole specific price patterns or momentum indicators. Please read more on our technical analysis page.
Credit Agricole November 29, 2024 Technical Indicators
Most technical analysis of Credit 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 Credit from various momentum indicators to cycle indicators. When you analyze Credit 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 | 0.2468 | |||
Mean Deviation | 0.8812 | |||
Coefficient Of Variation | (906.68) | |||
Standard Deviation | 1.21 | |||
Variance | 1.45 | |||
Information Ratio | (0.21) | |||
Jensen Alpha | (0.07) | |||
Total Risk Alpha | (0.32) | |||
Treynor Ratio | 0.2368 | |||
Maximum Drawdown | 7.03 | |||
Value At Risk | (1.86) | |||
Potential Upside | 1.3 | |||
Skewness | (1.23) | |||
Kurtosis | 3.06 |
Credit Agricole November 29, 2024 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 Credit 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 | 94,672 | ||
Daily Balance Of Power | 0.38 | ||
Rate Of Daily Change | 1.01 | ||
Day Median Price | 12.58 | ||
Day Typical Price | 12.61 | ||
Price Action Indicator | 0.13 |
Complementary Tools for Credit Stock analysis
When running Credit Agricole's price analysis, check to measure Credit 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 Credit Agricole is operating at the current time. Most of Credit Agricole's value examination focuses on studying past and present price action to predict the probability of Credit 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 Credit Agricole's price. Additionally, you may evaluate how the addition of Credit Agricole to your portfolios can decrease your overall portfolio volatility.
Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets | |
Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk |