Neto ME (Israel) Statistic Functions Linear Regression

NTO Stock  ILS 20,700  250.00  1.22%   
Neto ME statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against Neto ME. Neto ME 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 statistic functions indicators. As with most other technical indicators, the Linear Regression function function is designed to identify and follow existing trends. Neto ME statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Execute Function
The output start index for this execution was eight with a total number of output elements of fifty-three. The Linear Regression model generates relationship between price series of Neto ME Holdings and its peer or benchmark and helps predict Neto ME future price from its past values.

Neto ME Technical Analysis Modules

Most technical analysis of Neto ME 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 Neto from various momentum indicators to cycle indicators. When you analyze Neto 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 Neto ME 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 Neto ME Holdings. We use our internally-developed statistical techniques to arrive at the intrinsic value of Neto ME Holdings based on widely used predictive technical indicators. In general, we focus on analyzing Neto Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Neto ME'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 Neto ME's intrinsic value. In addition to deriving basic predictive indicators for Neto ME, we also check how macroeconomic factors affect Neto ME price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
20,69820,70020,702
Details
Intrinsic
Valuation
LowRealHigh
18,63023,11623,118
Details
Naive
Forecast
LowNextHigh
21,08121,08321,085
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
20,29220,60820,923
Details

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Other Information on Investing in Neto Stock

Neto ME financial ratios help investors to determine whether Neto 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 Neto with respect to the benefits of owning Neto ME security.