Section I:The Classical Analysis of Time Series establishes a good starting point in the analysis, and provides a high vantage point for viewing patterns of behaviour in the prices over the entire history of Bank of America Corporation. See BAC Classical Analysis.Section II:Understanding Price Volatility behaviour is essential to assessing the risk associated with positions across different time spans. See BAC Short Term Risk.Section IV:A look at Traditional Seasonal Analysis of Bank of America Corporation Historical Prices identifies the best and worst months to be invested. See BAC Calendar Year Trends.Section V:Moving Averages of various flavours are popular indicators. Here we test the predictive ability of different averages as applied to prediction of Bank of America Corporation prices. See Average Indicators.Section VI:Technical Oscillators are compared to test their power as buy or sell signals for speculating in BAC stock. We conduct an extensive investigation of the popular "RSI" of Welles Wilder and some of its variations. See RSI Indicators.Section VII:Price Analysis according to Political Factors reveals some surprising results. Computing trends against the November based political calendar may give better predictions than the traditional calculations based on the January calendar year! See Stock Prices and Politics for BAC.Section VIII:Volume Stratification Analysis tracks the volumes associated with price levels over the entire history of a stock. The resulting analysis yields a framework for understanding the mechanism behind support and resistance levels, and a scientific basis for predicting price behaviors due to those levels. See Volumetric Analysis.Section IX:A view of Momentum Analysis that takes Volume into account as well as Price. See Price-Volume Momentum.Section X:The mood of the market toward Bank of America Corporation show up in the Daily Closing Altitude and other Sentiment Indicators. See Investor Mood.Section XI:The length of "Runs", (the number of consecutive price movements up or down) reveal some new ways to visualize Price Series Data. A discussion of the "Monte Carlo Fallacy" and it's relevance to Stock Price Prediction leads to a revisionist method of Price Projection using the Bernoulli Analysis. See Bernoulli Run Analysis.Section XII:The traditional techniques of Candlestick Analysis may seem fanciful, but certain aspects are firmly grounded in the science of Investor Psychology. See Japanese Candlesticks.Section XIII:Multi-spectral analysis reveals behavioral features of BAC prices that may not be apparent to ordinary analysis. See Support and Resistance Surfaces.Section XIV:The combination of multi-spectral and mult-dimensional analysis of Bank of America Corporation historical trends, yields a rich set of behavioral surfaces. See Multi-dimensional Price Behaviors.Section XVI:Forecasts are gathered from several sources to predict future price movements. See BAC Share Price Forecasts. |