Algorand Cycle Indicators Hilbert Transform Trend vs Cycle Mode
| ALGO Crypto | USD 0.29 0.03 11.54% |
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The minimum time period for execution of this function requires larger time horizon. Please increase the time horizon for this function. The output start index for this execution was zero with a total number of output elements of zero. The Trend vs Cycle Mode is Hilbert Transform indicator that generates in-phase and quadrature components of Algorand price series in order to analyze trend vs cycle patterns of Algorand.
Algorand Technical Analysis Modules
Most technical analysis of Algorand 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 Algorand from various momentum indicators to cycle indicators. When you analyze Algorand 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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| Volume Indicators |
About Algorand 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 Algorand. We use our internally-developed statistical techniques to arrive at the intrinsic value of Algorand based on widely used predictive technical indicators. In general, we focus on analyzing Algorand Crypto Coin price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Algorand's daily price indicators and compare them against related drivers, such as cycle indicators 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 Algorand's intrinsic value. In addition to deriving basic predictive indicators for Algorand, we also check how macroeconomic factors affect Algorand price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Algorand 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 Algorand 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 Algorand will appreciate offsetting losses from the drop in the long position's value.Algorand Pair Trading
Algorand Pair Trading Analysis
The ability to find closely correlated positions to Algorand could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Algorand 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 Algorand - 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 Algorand to buy it.
The correlation of Algorand 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 Algorand moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Algorand 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 Algorand 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.Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Algorand. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.