| Below - Illustration from Chapter 5: On Tuesday, November 09, 2010, the "Moving Avg. 5/20 Divergence", indicator produced a possible sell alert. |
 Summary of Recent Reports:No commentary available from weekend report. |
Table of Contents
Volume I: Traditional Analysis of BAC:
Chapter 1:
This look at Bank of America Corporation begins with a Classical Time Series Analysis of the historical stock prices, providing a vantage point over patterns that will be explored in greater detail in the following chapters. See BAC Classical Analysis.
Chapter 2:
Understanding Price Volatility behaviour is essential to assessing the risk associated with positions across different time spans. See BAC Volatility Risk.
Chapter 3:
Historical Volume Trends are analyzed here, revealing seasonal patterns and the influence of the Business Cycle. See BAC Historical Volume.
Chapter 4:
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.
Chapter 5:
One of the most popular indicators, the Moving Average, comes in many variations. Here we test the predictive ability of different averages as applied to prediction of Bank of America Corporation prices. See Average Indicators.
Volume II: Modern Technical Analysis:
Chapter 6:
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 Technical Oscillators.
Chapter 7:
This chapter takes a view somewhat similar to standard analysis of seasonal trends, but it is based on the 4 year or 2 year Political Calendar rather than the 1 year Standard Calendar. Political Seasons work better than Calendar Seasons for predicting prices of many companies. See Politics and Prices of BAC.
Chapter 8:
Volume Stratification Analysis (or VSA) follows price behavior in relation to historical volumes of BAC stock sales. Knowledge of these behaviors gives us a quantitative metric useful for understanding Support or Resistance Levels, and predicting their strength. See Volumetric Analysis.
Chapter 9:
A view of Momentum Analysis that takes Volume into account as well as Price. See Momentum Investing Indicators.
Chapter 10:
Technical Analysis discovers the range of moods of investors toward BAC. See Market Sentiment.
Section 11:
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.
Chapter 12:
The traditional techniques of Candlestick Analysis may seem fanciful, but certain aspects are firmly grounded in the science of Investor Psychology. See Japanese Candlesticks.
Volume III: Advanced Visualization and Prediction:
Chapter 13:
Ordinary analysis does not show the features of the behavioral history underneath the price volume line. Here multi-spectral analysis brings the hidden features to the surface. See Support and Resistance.
Chapter 14:
The combination of multi-spectral and mult-dimensional analysis of Bank of America Corporation historical trends, yields a rich set of behavioral surfaces. See Price Behavior Surfaces.
Chapter 15:
Here we look at periodic frequency and waveform characteristics of the BAC historical price series. Classical techniques such as the Fourier Transform and newer digital filtering techniques contribute to this analysis. See Frequency and Waveform Analysis.
Chapter 16:
Forecasts are gathered from several sources to predict future price movements. See BAC Price Predictions.
Volume IV: Final Results and Trading Strategy:
Chapter 17:
The results of various trading strategies carried out over 10 years are evaluated here for BAC. The results of "buy and hold", "buy the dips", and other strategies are compared, as well as sliding stop settings. See Single Company Strategies.
Chapter 18:
The trading policies that work well when applied to speculation in any one companies stock may fall short when applied to the more usual situation where a person is speculating on a basket or portfolio of companies. Here we find the best muti-company portfolio trading policies. See BAC Multi-Company Strategies .
Appendix A:
The statistical abstract for Bank of America Corporation gathers the most relevant analysis into a single chapter. See BAC Final Results . |
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