| Below - Illustration from Chapter 6: No really strong signals during the past week. The most recent signal, "Wilder's 7 Day RSI Signals at 80 and 20", was produced on Friday, February 19, 2010. In this range, it is most often considered to be a sell signal. |
 Summary of Recent Reports:Weekend Report Comments on Saturday, March 06, 2010:
As of Friday, March 05, 2010, the closing price has been up for 3 days in a row. The price of BAC rose by 0.30 % this week, but the volume declined, which is a caution sign. BAC does not seem to be over-bought or under-bought at the moment. There is a favorable category change from last week's close. The Negative Volume Index Aggregate is near the middle of the range. It lost ground during the last week, but is still up for the month. Since the previous week the phase of the oscillator around the 200 bar average is almost unchanged. From the Update 3/11/2010 : The latest trading day is represented as a Star short body, coming on the heels of a Star short body Hammer on Wednesday. A star happens when the body range is entirely outside the range of the day before. So there has been a gap, indicating a strong new direction. No really strong signals during the past week. The most recent signal, "Wilder's 7 Day RSI Signals at 80 and 20", was produced on Friday, February 19, 2010. In this range, it is most often considered to be a sell signal. |
Table of Contents
Volume I: BAC Classical Analysis:
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:
Risks associated with short and long period price changes can be understood through Volatility Analysis. Here the impact of the Volatility Curve on the potential profitability positions across different time spans is shown. See BAC Volatility Risk.
Chapter 3:
Changes in Daily Volume are tracked in time here. Time Series Analysis demonstrates Trends and Cyclical Patterns in the number of shares transacted. See BAC Historical Volume.
Chapter 4:
The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See BAC Calendar Year Trends.
Chapter 5:
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.
Volume II: Modern Technical Analysis:
Chapter 6:
Some say that modern analysis began with the successful identification of technical oscillators such as the highly effective Wilder RSI. See Technical Oscillators.
Chapter 7:
A different type of Seasonal Analysis is applied to BAC historical prices. Here the 24 month, November based Political Calendar is the basis for non-standard Seasonal Analysis. 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:
Analysis of Market Momentum as the product of Price and Volume drives an interpretation considerably more sophisticated than those that consider Price Momentum alone. See Momentum Investing Indicators.
Chapter 10:
Technical Analysis discovers the range of moods of investors toward BAC. See Market Sentiment.
Section 11:
The chapter first converts the Price Line to several different mappings based on "Runs" or the number of consecutive price movements in a particular direction. 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:
Japanese Candlesticks have a long history, but continue to be used because some of their best concepts are based on universal 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:
Combining the historical behavior surfaces with the geometry of long standing periodic price oscillations yields a behavior surface of more than three dimensions which has an extremely low residual error compared to other methods of analysis. See Price Behavior Surfaces.
Chapter 15:
Frequency Analysis and Waveform Characterization are applied to the historical prices of Bank of America Corporation in this chapter. See Frequency and Waveform Analysis.
Chapter 16:
Predictions and Forecasts. What will happen to BAC over the next few months? 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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