Computer Modelling Group Stock Overlap Studies Simple Moving Average
| CMG Stock | CAD 10.79 0.14 1.28% |
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The output start index for this execution was thirteen with a total number of output elements of fourty-eight. The Simple Moving Average indicator is calculated by adding the closing price of Computer Modelling for a given number of time periods and then dividing this total by the number of time periods. It is used to smooth out Computer Modelling short-term fluctuations and highlight longer-term trends or cycles.
Computer Modelling Technical Analysis Modules
Most technical analysis of Computer Modelling 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 Computer from various momentum indicators to cycle indicators. When you analyze Computer 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 Computer Modelling 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 Computer Modelling Group. We use our internally-developed statistical techniques to arrive at the intrinsic value of Computer Modelling Group based on widely used predictive technical indicators. In general, we focus on analyzing Computer Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Computer Modelling'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 Computer Modelling's intrinsic value. In addition to deriving basic predictive indicators for Computer Modelling, we also check how macroeconomic factors affect Computer Modelling price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0373 | 0.0276 | 0.0197 | 0.0336 | Price To Sales Ratio | 6.5 | 7.91 | 7.56 | 4.77 |
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Computer Modelling 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 Computer Modelling 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 Computer Modelling will appreciate offsetting losses from the drop in the long position's value.Computer Modelling Pair Trading
Computer Modelling Group Pair Trading Analysis
The ability to find closely correlated positions to Computer Modelling could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Computer Modelling 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 Computer Modelling - 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 Computer Modelling Group to buy it.
The correlation of Computer Modelling 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 Computer Modelling moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Computer Modelling 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 Computer Modelling 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 Computer Stock
Computer Modelling financial ratios help investors to determine whether Computer 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 Computer with respect to the benefits of owning Computer Modelling security.