Al Bad (Israel) Math Transform Price Ceiling Movement

ALBA Stock  ILS 1,790  50.00  2.72%   
Al Bad math transform tool provides the execution environment for running the Price Ceiling Movement transformation and other technical functions against Al Bad. Al Bad 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 Price Ceiling Movement 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 Al Bad can be made when Al Bad 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. Al Bad Price Ceiling Movement function is a real number to the largest previous price integer.

Al Bad Technical Analysis Modules

Most technical analysis of Al Bad 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 ALBA from various momentum indicators to cycle indicators. When you analyze ALBA 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 Al Bad 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 Al Bad Massuot Yitzhak. We use our internally-developed statistical techniques to arrive at the intrinsic value of Al Bad Massuot Yitzhak based on widely used predictive technical indicators. In general, we focus on analyzing ALBA Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Al Bad'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 Al Bad's intrinsic value. In addition to deriving basic predictive indicators for Al Bad, we also check how macroeconomic factors affect Al Bad price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
1,7871,7901,793
Details
Intrinsic
Valuation
LowRealHigh
1,4691,4721,969
Details
Naive
Forecast
LowNextHigh
1,7091,7121,714
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
1,3931,7352,076
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.

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Al Bad Massuot 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 Al Bad 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 Al Bad will appreciate offsetting losses from the drop in the long position's value.

Al Bad Pair Trading

Al Bad Massuot Yitzhak Pair Trading Analysis

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

Al Bad financial ratios help investors to determine whether ALBA Stock 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 ALBA with respect to the benefits of owning Al Bad security.