Bank Pan (Indonesia) Statistic Functions Linear Regression Intercept

PNBN Stock  IDR 1,465  65.00  4.25%   
Bank Pan statistic functions tool provides the execution environment for running the Linear Regression Intercept function and other technical functions against Bank Pan. Bank Pan 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 Pan 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 nineteen with a total number of output elements of fourty-two. The Linear Regression Intercept is the expected mean value of Bank Pan Indonesia price seriese where values of its benchmark or peer price series are zero.
JavaScript chart by amCharts 3.21.15Dec2025FebJan 27FebFeb 10Feb 17Feb 24MarMar 101.3K1.4K1.5K1.6K1.7K1.8K 1M1.5M2M2.5M3M3.5M4M4.5M5M5.5M6M6.5M7M7.5M8M8.5M 1,7401,7501,7601,7701,7801,7901.8K1,8101,8201,8301,8401,8501,8601,8701,8801,8901.9K1,910 41.4K41.6K41.8K42K42.2K42.4K42.6K42.8K43K43.2K43.4K43.6K43.8K44K44.2K44.4K44.6K44.8K Show all
JavaScript chart by amCharts 3.21.15Bank Pan Indonesia Volume Bank Pan Indonesia Closing Prices Dow Jones Industrial Closing Prices - Benchmark Bank Pan Indonesia Linear Regression Intercept

Bank Pan Technical Analysis Modules

Most technical analysis of Bank Pan 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 Pan 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 Pan Indonesia. We use our internally-developed statistical techniques to arrive at the intrinsic value of Bank Pan 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 Pan'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 Pan's intrinsic value. In addition to deriving basic predictive indicators for Bank Pan, we also check how macroeconomic factors affect Bank Pan price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
1,4621,4651,468
Details
Intrinsic
Valuation
LowRealHigh
1,3061,3081,612
Details
Naive
Forecast
LowNextHigh
1,5961,5991,602
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
1,2071,5301,853
Details

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Other Information on Investing in Bank Stock

Bank Pan 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 Pan security.

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