Balanced Allocation Fund Pattern Recognition Up and Down gap side by side white lines

GBAYX Fund  USD 12.21  0.05  0.41%   
Balanced Allocation pattern recognition tool provides the execution environment for running the Up and Down gap side by side white lines recognition and other technical functions against Balanced Allocation. Balanced Allocation 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 pattern recognition indicators. As with most other technical indicators, the Up and Down gap side by side white lines recognition function is designed to identify and follow existing trends. Balanced Allocation momentum indicators are usually used to generate trading rules based on assumptions that Balanced Allocation trends in prices tend to continue for long periods.

Recognition
The output start index for this execution was seven with a total number of output elements of fifty-four. The function generated a total of nine valid pattern recognition events for the selected time horizon. The Up/Down-gap side-by-side white line is a continuation pattern that shows Balanced Allocation bearish trend.

Balanced Allocation Technical Analysis Modules

Most technical analysis of Balanced Allocation 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 Balanced from various momentum indicators to cycle indicators. When you analyze Balanced 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 Balanced Allocation 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 Balanced Allocation Fund. We use our internally-developed statistical techniques to arrive at the intrinsic value of Balanced Allocation Fund based on widely used predictive technical indicators. In general, we focus on analyzing Balanced Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Balanced Allocation's daily price indicators and compare them against related drivers, such as pattern recognition 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 Balanced Allocation's intrinsic value. In addition to deriving basic predictive indicators for Balanced Allocation, we also check how macroeconomic factors affect Balanced Allocation price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Balanced Allocation's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
11.8612.2112.56
Details
Intrinsic
Valuation
LowRealHigh
11.8612.2112.56
Details

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 Idea Breakdown Now

   

Idea Breakdown

Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes
All  Next Launch Module

Balanced Allocation 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 Balanced Allocation 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 Balanced Allocation will appreciate offsetting losses from the drop in the long position's value.

Balanced Allocation Pair Trading

Balanced Allocation Fund Pair Trading Analysis

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

Balanced Allocation financial ratios help investors to determine whether Balanced 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 Balanced with respect to the benefits of owning Balanced Allocation security.
Idea Analyzer
Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas
Global Correlations
Find global opportunities by holding instruments from different markets
Positions Ratings
Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance
Top Crypto Exchanges
Search and analyze digital assets across top global cryptocurrency exchanges