Bank Net (Indonesia) Statistic Functions Linear Regression Intercept

BANK Stock  IDR 795.00  10.00  1.24%   
Bank Net statistic functions tool provides the execution environment for running the Linear Regression Intercept function and other technical functions against Bank Net. Bank Net 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 Intercept function function is designed to identify and follow existing trends. Bank Net 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.

Function
Time Period
Execute Function
The output start index for this execution was two with a total number of output elements of fifty-nine. The Linear Regression Intercept is the expected mean value of Bank Net Indonesia price seriese where values of its benchmark or peer price series are zero.

Bank Net Technical Analysis Modules

Most technical analysis of Bank Net 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 Bank from various momentum indicators to cycle indicators. When you analyze Bank 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 Bank Net 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 Bank Net Indonesia. We use our internally-developed statistical techniques to arrive at the intrinsic value of Bank Net Indonesia based on widely used predictive technical indicators. In general, we focus on analyzing Bank Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Bank Net'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 Bank Net's intrinsic value. In addition to deriving basic predictive indicators for Bank Net, we also check how macroeconomic factors affect Bank Net price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
793.25795.00796.75
Details
Intrinsic
Valuation
LowRealHigh
689.15690.90874.50
Details
Naive
Forecast
LowNextHigh
786.47788.22789.97
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
788.91798.33807.76
Details

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Other Information on Investing in Bank Stock

Bank Net financial ratios help investors to determine whether Bank 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 Bank with respect to the benefits of owning Bank Net security.