Carnegie Clean (Germany) Overlap Studies Double Exponential Moving Average
| CNM1 Stock | EUR 0.02 0.0006 2.83% |
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The output start index for this execution was fifty-eight with a total number of output elements of three. The Double Exponential Moving Average indicator was developed by Patrick Mulloy. It consists of a single exponential moving average and a double exponential moving average. This indicator is more responsive to Carnegie Clean Energy changes than the simple moving average.
Carnegie Clean Technical Analysis Modules
Most technical analysis of Carnegie Clean 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 Carnegie from various momentum indicators to cycle indicators. When you analyze Carnegie 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 Carnegie Clean 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 Carnegie Clean Energy. We use our internally-developed statistical techniques to arrive at the intrinsic value of Carnegie Clean Energy based on widely used predictive technical indicators. In general, we focus on analyzing Carnegie Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Carnegie Clean's daily price indicators and compare them against related drivers, such as overlap studies 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 Carnegie Clean's intrinsic value. In addition to deriving basic predictive indicators for Carnegie Clean, we also check how macroeconomic factors affect Carnegie Clean price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Carnegie Clean Energy 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 Carnegie Clean 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 Carnegie Clean will appreciate offsetting losses from the drop in the long position's value.Carnegie Clean Pair Trading
Carnegie Clean Energy Pair Trading Analysis
The ability to find closely correlated positions to Carnegie Clean could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Carnegie Clean 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 Carnegie Clean - 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 Carnegie Clean Energy to buy it.
The correlation of Carnegie Clean 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 Carnegie Clean moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Carnegie Clean Energy 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 Carnegie Clean 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.Other Information on Investing in Carnegie Stock
Carnegie Clean financial ratios help investors to determine whether Carnegie Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Carnegie with respect to the benefits of owning Carnegie Clean security.