Amg Managers Brandywine Fund Math Operators Index of highest value over a specified period
| BRWIX Fund | USD 40.86 0.04 0.1% |
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The output start index for this execution was nine with a total number of output elements of fifty-two. The Index of highest value over a specified period line plots maximum indexes of Amg Managers Brandywine price series.
Amg Managers Technical Analysis Modules
Most technical analysis of Amg Managers 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 Amg from various momentum indicators to cycle indicators. When you analyze Amg 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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| Math Transform | ||
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| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Amg Managers 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 Amg Managers Brandywine. We use our internally-developed statistical techniques to arrive at the intrinsic value of Amg Managers Brandywine based on widely used predictive technical indicators. In general, we focus on analyzing Amg Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Amg Managers's daily price indicators and compare them against related drivers, such as math operators 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 Amg Managers's intrinsic value. In addition to deriving basic predictive indicators for Amg Managers, we also check how macroeconomic factors affect Amg Managers price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Amg Managers Brandywine 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 Amg Managers 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 Amg Managers will appreciate offsetting losses from the drop in the long position's value.Amg Managers Pair Trading
Amg Managers Brandywine Pair Trading Analysis
The ability to find closely correlated positions to Amg Managers could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Amg Managers 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 Amg Managers - 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 Amg Managers Brandywine to buy it.
The correlation of Amg Managers 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 Amg Managers moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Amg Managers Brandywine 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 Amg Managers 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 Amg Mutual Fund
Amg Managers financial ratios help investors to determine whether Amg 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 Amg with respect to the benefits of owning Amg Managers security.
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