Gilat Satellite (Israel) Statistic Functions Linear Regression Slope
| GILT Stock | ILA 2,075 66.00 3.08% |
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Illegal number of arguments. The output start index for this execution was zero with a total number of output elements of zero. The Linear Regression Slope is the rate of change in Gilat Satellite Networks price series over its benchmark or peer price series.
Gilat Satellite Technical Analysis Modules
Most technical analysis of Gilat Satellite 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 Gilat from various momentum indicators to cycle indicators. When you analyze Gilat 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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About Gilat Satellite 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 Gilat Satellite Networks. We use our internally-developed statistical techniques to arrive at the intrinsic value of Gilat Satellite Networks based on widely used predictive technical indicators. In general, we focus on analyzing Gilat Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Gilat Satellite's daily price indicators and compare them against related drivers, such as statistic functions 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 Gilat Satellite's intrinsic value. In addition to deriving basic predictive indicators for Gilat Satellite, we also check how macroeconomic factors affect Gilat Satellite 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 Gilat Satellite'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.
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Gilat Satellite Networks 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 Gilat Satellite 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 Gilat Satellite will appreciate offsetting losses from the drop in the long position's value.Gilat Satellite Pair Trading
Gilat Satellite Networks Pair Trading Analysis
The ability to find closely correlated positions to Gilat Satellite could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Gilat Satellite 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 Gilat Satellite - 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 Gilat Satellite Networks to buy it.
The correlation of Gilat Satellite 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 Gilat Satellite moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Gilat Satellite Networks 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 Gilat Satellite 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.Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Gilat Satellite Networks. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
Complementary Tools for Gilat Stock analysis
When running Gilat Satellite's price analysis, check to measure Gilat Satellite'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 Gilat Satellite is operating at the current time. Most of Gilat Satellite's value examination focuses on studying past and present price action to predict the probability of Gilat Satellite's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Gilat Satellite's price. Additionally, you may evaluate how the addition of Gilat Satellite to your portfolios can decrease your overall portfolio volatility.
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