Alger Funds Mid Fund Cycle Indicators Hilbert Transform Phasor Components
| AFOZX Fund | USD 18.63 0.43 2.36% |
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Indicator |
The output start index for this execution was thirty-two with a total number of output elements of twenty-nine. Alger Funds Mid Hilbert Transform - Phasor Components indicator is used to generate in-phase and quadrature components of Alger Funds price series in order to analyze variations of the instantaneous phase and amplitude.
Alger Funds Technical Analysis Modules
Most technical analysis of Alger Funds 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 Alger from various momentum indicators to cycle indicators. When you analyze Alger 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 |
About Alger Funds 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 Alger Funds Mid. We use our internally-developed statistical techniques to arrive at the intrinsic value of Alger Funds Mid based on widely used predictive technical indicators. In general, we focus on analyzing Alger Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Alger Funds'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 Alger Funds's intrinsic value. In addition to deriving basic predictive indicators for Alger Funds, we also check how macroeconomic factors affect Alger Funds price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Alger Funds Mid 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 Alger Funds 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 Alger Funds will appreciate offsetting losses from the drop in the long position's value.Alger Funds Pair Trading
Alger Funds Mid Pair Trading Analysis
The ability to find closely correlated positions to Alger Funds could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Alger Funds 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 Alger Funds - 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 Alger Funds Mid to buy it.
The correlation of Alger Funds 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 Alger Funds moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Alger Funds Mid 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 Alger Funds 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 Alger Mutual Fund
Alger Funds financial ratios help investors to determine whether Alger Mutual Fund 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 Alger with respect to the benefits of owning Alger Funds security.
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