| Below - Illustration from Chapter 15: No really strong signals during the past week. The most recent signal, "Semi-Annual Avg. of Bi-weekly Sawtooth Signals at 70 and 30", was produced on Thursday, October 28, 2010. In this range, it is most often considered to be a sell signal. |
 Summary of Recent Reports:No commentary available from weekend report. |
Table of Contents
Volume I: Traditional Analysis of CCU:
Chapter 1:
Classical Analysis provides a good overview of the data for Clear Channel Communications, and reveals patterns that will be explored with detail in later sections. See CCU 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 CCU Volatility Risk.
Chapter 3:
Historical Volume Trends are analyzed here, revealing seasonal patterns and the influence of the Business Cycle. See CCU Historical Volume.
Chapter 4:
A look at Traditional Seasonal Analysis of Clear Channel Communications Historical Prices identifies the best and worst months to be invested. See CCU 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 Clear Channel Communications prices. See Average Indicators.
Volume II: Mid Level 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:
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 CCU.
Chapter 8:
A sophisticated method associates price levels with historical volumes. Such semi-abstract concepts as Support and Resistance may then be defined with mathematical precision. 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 CCU. 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:
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:
Multi-spectral analysis reveals behavioral features of CCU prices that may not be apparent to ordinary analysis. See Support and Resistance.
Chapter 14:
The combination of multi-spectral and mult-dimensional analysis of Clear Channel Communications 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 CCU 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 CCU 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 CCU. 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 CCU Multi-Company Strategies .
Appendix A:
The statistical abstract for Clear Channel Communications gathers the most relevant analysis into a single chapter. See CCU Final Results . |
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