| Below - Illustration from Chapter 5: No really strong signals during the past week. The most recent signal, "Moving Avg. 5/20 Divergence", 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, February 27, 2010:
Looking back from Friday, February 26, 2010, the past 3 sessions have seen higher closing prices than the day before. It is not good news when the price of CCU is down and the volume is increasing. So far, the damage has been limited to a -1.48 % decline for the week. Conditions are becoming more favorable, according to the 14 bar Wilder RSI, but the values are in the middle of the range, indicating this issue is probably near the fair price for the time being. The general RSI remains in the same range as last week, with a small favorable drift. No signal from the Negative Volume Index: 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 3/3/2010 : The recent session is represented as a stepped up medium body, following the Star long day on Tuesday. The stepped candle has a body that is shadowed at one end only. It can indicate an orderly progression of the market. No really strong signals during the past week. The most recent signal, "Moving Avg. 5/20 Divergence", was produced on Friday, February 19, 2010. In this range, it is most often considered to be a sell signal. |
Table of Contents
Volume 1: Technical Analysis:
Chapter 1:
An introductory chapter looks at the price history of CCU by applying Classical Time Series Analysis. Some of the patterns seen here will prove to be important in further analysis. See CCU Classical Analysis.
Chapter 2:
This survey looks at historical volatility of Clear Channel Communications prices. The risks associated with long and short term positions can be evaluated according to projected shapes of the Volatility Curve. 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:
Moving Averages of various flavours are popular indicators. Here we test the predictive ability of different averages as applied to prediction of Clear Channel Communications 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:
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:
The mood of the market toward Clear Channel Communications show up in the Daily Closing Altitude and other Sentiment Indicators. See Market Sentiment.
Section 11:
This section visualizes mappings based on 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:
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 Price Behavior Visualization:
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:
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:
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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