Micronet (Israel) Pattern Recognition Doji

MCRNL Stock   170.00  2.00  1.16%   
Micronet pattern recognition tool provides the execution environment for running the Doji recognition and other technical functions against Micronet. Micronet 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 Doji recognition function is designed to identify and follow existing trends. Micronet momentum indicators are usually used to generate trading rules based on assumptions that Micronet trends in prices tend to continue for long periods.

Recognition
The output start index for this execution was ten with a total number of output elements of fifty-one. The function generated a total of twenty-eight valid pattern recognition events for the selected time horizon. The Doji is candlestick pattern analysis indicator that fired when Micronet open and close prices are equal. It suggests that the direction of Micronet's trend maybe be nearing a turning point.

Micronet Technical Analysis Modules

Most technical analysis of Micronet 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 Micronet from various momentum indicators to cycle indicators. When you analyze Micronet 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 Micronet 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 Micronet. We use our internally-developed statistical techniques to arrive at the intrinsic value of Micronet based on widely used predictive technical indicators. In general, we focus on analyzing Micronet Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Micronet'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 Micronet's intrinsic value. In addition to deriving basic predictive indicators for Micronet, we also check how macroeconomic factors affect Micronet price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
169.31172.00174.69
Details
Intrinsic
Valuation
LowRealHigh
144.94147.63189.20
Details
Naive
Forecast
LowNextHigh
179.29181.98184.66
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
164.09171.07178.04
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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Micronet 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 Micronet 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 Micronet will appreciate offsetting losses from the drop in the long position's value.

Micronet Pair Trading

Micronet Pair Trading Analysis

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

Additional Tools for Micronet Stock Analysis

When running Micronet's price analysis, check to measure Micronet's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Micronet is operating at the current time. Most of Micronet's value examination focuses on studying past and present price action to predict the probability of Micronet's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Micronet's price. Additionally, you may evaluate how the addition of Micronet to your portfolios can decrease your overall portfolio volatility.