CSIF I (Switzerland) Volatility Indicators Average True Range
| 0P0000G2P5 | 2,013 10.60 0.53% |
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The output start index for this execution was twenty with a total number of output elements of fourty-one. 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 CSIF I Real volatility. High ATR values indicate high volatility, and low values indicate low volatility.
CSIF I Technical Analysis Modules
Most technical analysis of CSIF I 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 CSIF from various momentum indicators to cycle indicators. When you analyze CSIF 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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CSIF I Real 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 CSIF I 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 CSIF I will appreciate offsetting losses from the drop in the long position's value.CSIF I Pair Trading
CSIF I Real Pair Trading Analysis
The ability to find closely correlated positions to CSIF I could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace CSIF I 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 CSIF I - 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 CSIF I Real to buy it.
The correlation of CSIF I 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 CSIF I moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CSIF I Real 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 CSIF I 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.| Share Portfolio Track or share privately all of your investments from the convenience of any device | |
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