CREDIT AGRICOLE (Germany) Math Operators Lowest value over a specified period
| XCA Stock | EUR 13.00 0.07 0.54% |
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The output start index for this execution was nineteen with a total number of output elements of fourty-two. The Lowest value over a specified period line plots minimum value of CREDIT AGRICOLE price series.
CREDIT AGRICOLE Technical Analysis Modules
Most technical analysis of CREDIT AGRICOLE 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 other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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About CREDIT AGRICOLE Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of CREDIT AGRICOLE. We use our internally-developed statistical techniques to arrive at the intrinsic value of CREDIT AGRICOLE based on widely used predictive technical indicators. In general, we focus on analyzing CREDIT Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build CREDIT AGRICOLE's daily price indicators and compare them against related drivers, such as math operators and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of CREDIT AGRICOLE's intrinsic value. In addition to deriving basic predictive indicators for CREDIT AGRICOLE, we also check how macroeconomic factors affect CREDIT AGRICOLE price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.Did you try this?
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Correlation AnalysisReduce portfolio risk simply by holding instruments which are not perfectly correlated |
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CREDIT AGRICOLE pair trading
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if CREDIT AGRICOLE position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in CREDIT AGRICOLE will appreciate offsetting losses from the drop in the long position's value.CREDIT AGRICOLE Pair Trading
CREDIT AGRICOLE Pair Trading Analysis
The ability to find closely correlated positions to CREDIT AGRICOLE could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace CREDIT AGRICOLE when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back CREDIT AGRICOLE - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling CREDIT AGRICOLE to buy it.
The correlation of CREDIT AGRICOLE is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as CREDIT AGRICOLE moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CREDIT AGRICOLE moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for CREDIT AGRICOLE can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional 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.