| Below - Illustration from Chapter 6: A signal from the "Wilder's 7 Day RSI Signals at 80 and 20", was flagged on Tuesday, February 23, 2010. This value of the indicator is generally interpreted as a sell signal. |
 Summary of Recent Reports:Weekend Report Comments on Saturday, February 27, 2010:
This week's transaction volume increased as well as the price for CMCSA. The Wilder RSI is moderately bearish, and going in the wrong direction. Since last week, there has been a slip toward the bear side. The Negative Volume Index Aggregate is near the middle of the range. It seems to be rising, coming from 98.61% to 98.63% in the past month. There has not been much change in the phase of the 200 day moving average since this time last week. From the Update 3/2/2010 : The recent session is represented as a short body SpinningTop, following the Star long day on Monday. A signal from the "Wilder's 7 Day RSI Signals at 80 and 20", was flagged on Tuesday, February 23, 2010. This value of the indicator is generally interpreted as a sell signal. |
Table of Contents
Volume I: CMCSA Classical Analysis:
Chapter 1:
The Classical Analysis of Time Series establishes a good starting point in the analysis, and provides a high vantage point for viewing patterns of behaviour in the prices over the entire history of Comcast Corporation. See CMCSA 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 CMCSA Volatility Risk.
Chapter 3:
Historical Volume Trends are analyzed here, revealing seasonal patterns and the influence of the Business Cycle. See CMCSA Historical Volume.
Chapter 4:
The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See CMCSA 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 Comcast Corporation prices. See Average Indicators.
Volume II: Mid Level Technical Analysis:
Chapter 6:
Technical Oscillators are compared to test their power as buy or sell signals for speculating in CMCSA stock. We conduct an extensive investigation of the popular "RSI" of Welles Wilder and some of its variations. See Technical Oscillators.
Chapter 7:
A different type of Seasonal Analysis is applied to CMCSA historical prices. Here the 24 month, November based Political Calendar is the basis for non-standard Seasonal Analysis. See Politics and Prices of CMCSA.
Chapter 8:
Volume Stratification Analysis (or VSA) follows price behavior in relation to historical volumes of CMCSA 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 CMCSA. 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:
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 CMCSA 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 Comcast 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 CMCSA 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 CMCSA Price Predictions.
Volume IV: Final Results and Trading Strategy:
Chapter 17:
This chapter rates some "single company strategies" for Comcast Corporation speculators. One of the most important aspects of a good money management strategy is the proper setting of stop loss orders. 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 CMCSA Multi-Company Strategies .
Appendix A:
The statistical abstract for Comcast Corporation gathers the most relevant analysis into a single chapter. See CMCSA Final Results . |
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