| Below - Illustration from Chapter 6: Recently there have not been any particularly significant signals. A signal from the "Calibrated RSI at 80 and 20 for Modal BiWeekly Cycle", was flagged on Wednesday, October 20, 2010. This value of the indicator is generally interpreted as a buy signal. |
 Summary of Recent Reports:No commentary available from weekend report. |
Table of Contents
Volume I: Traditional Analysis of CMCSK:
Chapter 1:
Classical Analysis provides a good overview of the data for Comcast Corporation, and reveals patterns that will be explored with detail in later sections. See CMCSK Classical Analysis.
Chapter 2:
Understanding Price Volatility behaviour is essential to assessing the risk associated with positions across different time spans. See CMCSK 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 CMCSK Historical Volume.
Chapter 4:
The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See CMCSK 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 Comcast 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 CMCSK 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 CMCSK.
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:
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 CMCSK. 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 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:
Here we look at periodic frequency and waveform characteristics of the CMCSK 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:
Predictions and Forecasts. What will happen to CMCSK over the next few months? See CMCSK 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 CMCSK. 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 CMCSK Multi-Company Strategies .
Appendix A:
The statistical abstract for Comcast Corporation gathers the most relevant analysis into a single chapter. See CMCSK Final Results . |
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