Bank Of America Preferred Stock Statistic Functions Linear Regression Intercept

BAC-PP Preferred Stock  USD 18.46  0.03  0.16%   
Bank of America statistic functions tool provides the execution environment for running the Linear Regression Intercept function and other technical functions against Bank of America. Bank of America 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 of America 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 eleven with a total number of output elements of fifty. The Linear Regression Intercept is the expected mean value of Bank of America price seriese where values of its benchmark or peer price series are zero.

Bank of America Technical Analysis Modules

Most technical analysis of Bank of America 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 of America 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 of America. We use our internally-developed statistical techniques to arrive at the intrinsic value of Bank of America based on widely used predictive technical indicators. In general, we focus on analyzing Bank Preferred Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Bank of America'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 of America's intrinsic value. In addition to deriving basic predictive indicators for Bank of America, we also check how macroeconomic factors affect Bank of America price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
17.6018.4619.32
Details
Intrinsic
Valuation
LowRealHigh
16.1116.9720.31
Details
Naive
Forecast
LowNextHigh
17.4018.2619.12
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
18.2318.3918.54
Details

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Additional Tools for Bank Preferred Stock Analysis

When running Bank of America's price analysis, check to measure Bank of America's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Bank of America is operating at the current time. Most of Bank of America's value examination focuses on studying past and present price action to predict the probability of Bank of America's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bank of America's price. Additionally, you may evaluate how the addition of Bank of America to your portfolios can decrease your overall portfolio volatility.