Bank Mega (Indonesia) Statistic Functions Linear Regression Angle

MEGA Stock  IDR 4,800  60.00  1.23%   
Bank Mega statistic functions tool provides the execution environment for running the Linear Regression Angle function and other technical functions against Bank Mega. Bank Mega 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 Angle function function is designed to identify and follow existing trends. Bank Mega 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 nine with a total number of output elements of fifty-two. The Linear Regression Angle indicator plots the angel of the trend line for each Bank Mega Tbk data point.

Bank Mega Technical Analysis Modules

Most technical analysis of Bank Mega 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 Mega 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 Mega Tbk. We use our internally-developed statistical techniques to arrive at the intrinsic value of Bank Mega Tbk 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 Mega'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 Mega's intrinsic value. In addition to deriving basic predictive indicators for Bank Mega, we also check how macroeconomic factors affect Bank Mega price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
4,7994,8004,801
Details
Intrinsic
Valuation
LowRealHigh
4,6494,6505,280
Details

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Bank Mega in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Bank Mega's short interest history, or implied volatility extrapolated from Bank Mega options trading.

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Other Information on Investing in Bank Stock

Bank Mega 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 Mega security.