Kinea II (Brazil) Cycle Indicators Hilbert Transform Dominant Cycle Period
KNRE11 Fund | BRL 0.23 0.01 4.17% |
Symbol |
Indicator |
The output start index for this execution was thirty-two with a total number of output elements of twenty-nine. The Hilbert Transform - Dominant Cycle Period indicator is used to generate in-phase and quadrature components of Kinea II Real price series in order to analyze variations of the instantaneous cycles.
Kinea II Technical Analysis Modules
Most technical analysis of Kinea II 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 Kinea from various momentum indicators to cycle indicators. When you analyze Kinea 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 | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Learn to be your own money manager
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?
Run Portfolio File Import Now
Portfolio File ImportQuickly import all of your third-party portfolios from your local drive in csv format |
All Next | Launch Module |
Kinea II 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 Kinea II 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 Kinea II will appreciate offsetting losses from the drop in the long position's value.Kinea II Pair Trading
Kinea II Real Pair Trading Analysis
The ability to find closely correlated positions to Kinea II could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Kinea II 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 Kinea II - 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 Kinea II Real to buy it.
The correlation of Kinea II 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 Kinea II moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Kinea II 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 Kinea II 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.Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated |