C I (Israel) Statistic Functions Linear Regression

CISY Stock   1,326  0.00  0.00%   
C I statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against C I. C I 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. C I 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 twenty-three with a total number of output elements of thirty-eight. The Linear Regression model generates relationship between price series of C I Systems and its peer or benchmark and helps predict C I future price from its past values.

C I Technical Analysis Modules

Most technical analysis of C I 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 CISY from various momentum indicators to cycle indicators. When you analyze CISY 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 C I 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 C I Systems. We use our internally-developed statistical techniques to arrive at the intrinsic value of C I Systems based on widely used predictive technical indicators. In general, we focus on analyzing CISY Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build C I'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 C I's intrinsic value. In addition to deriving basic predictive indicators for C I, we also check how macroeconomic factors affect C I price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
1,3241,3261,328
Details
Intrinsic
Valuation
LowRealHigh
1,1091,1111,459
Details
Naive
Forecast
LowNextHigh
1,4341,4361,438
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
1,2321,3591,486
Details

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Hedge Favorites Idea
Hedge Favorites
Sold over 500 shares
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Blockchain
Invested over 500 shares
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Macroaxis Index
Sold over 100 shares
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Real Estate
Sold over 100 shares
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Wireless
Sold over 100K shares
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Cars
Invested over 100K shares

Other Information on Investing in CISY Stock

C I financial ratios help investors to determine whether CISY 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 CISY with respect to the benefits of owning C I security.