Valic Company I Fund Math Transform Cosh Values Of Price Series

VGCLX Fund  USD 11.86  0.03  0.25%   
Valic Company math transform tool provides the execution environment for running the Cosh Values Of Price Series transformation and other technical functions against Valic Company. Valic Company value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of math transform indicators. As with most other technical indicators, the Cosh Values Of Price Series transformation function is designed to identify and follow existing trends. Analysts that use price transformation techniques rely on the belief that biggest profits from investing in Valic Company can be made when Valic Company shifts in price trends from positive to negative or vice versa.

Transformation
The output start index for this execution was zero with a total number of output elements of sixty-one. Cosh Values Of Valic Company Price Series is a hyperbolic price transformation function.

Valic Company Technical Analysis Modules

Most technical analysis of Valic Company 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 Valic from various momentum indicators to cycle indicators. When you analyze Valic 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.

About Valic Company 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 Valic Company I. We use our internally-developed statistical techniques to arrive at the intrinsic value of Valic Company I based on widely used predictive technical indicators. In general, we focus on analyzing Valic Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Valic Company's daily price indicators and compare them against related drivers, such as math transform 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 Valic Company's intrinsic value. In addition to deriving basic predictive indicators for Valic Company, we also check how macroeconomic factors affect Valic Company price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
11.5211.8612.20
Details
Intrinsic
Valuation
LowRealHigh
11.4711.8112.15
Details
Naive
Forecast
LowNextHigh
11.5911.9212.26
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
11.5011.6911.89
Details

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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.

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Valic Company I 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 Valic Company 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 Valic Company will appreciate offsetting losses from the drop in the long position's value.

Valic Company Pair Trading

Valic Company I Pair Trading Analysis

The ability to find closely correlated positions to Valic Company could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Valic Company 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 Valic Company - 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 Valic Company I to buy it.
The correlation of Valic Company 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 Valic Company moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Valic Company I 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 Valic Company 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.
Pair CorrelationCorrelation Matching

Other Information on Investing in Valic Mutual Fund

Valic Company financial ratios help investors to determine whether Valic 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 Valic with respect to the benefits of owning Valic Company security.
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