| Below - Illustration from Chapter 6: This week has not seen any highly significant signals. On Monday, October 25, 2010, the "Wilder's 7 Day RSI Signals at 80 and 20", indicator produced a possible buy alert. |
 Summary of Recent Reports:No commentary available from weekend report. |
Table of Contents
Volume I: K Classical Analysis:
Chapter 1:
Kellogg Company historical prices are subjected to old fashioned Classical Time Series Analysis in this section. Patterns that emerge here will be a starting point for more detailed analysis. See K Classical Analysis.
Chapter 2:
This survey looks at historical volatility of Kellogg Company prices. The risks associated with long and short term positions can be evaluated according to projected shapes of the Volatility Curve. See K Volatility Risk.
Chapter 3:
Historical Volume Trends are analyzed here, revealing seasonal patterns and the influence of the Business Cycle. See K Historical Volume.
Chapter 4:
The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See K 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 Kellogg Company 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 K 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 K.
Chapter 8:
Volume Stratification Analysis (or VSA) follows price behavior in relation to historical volumes of K 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 K. 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:
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:
Multi-spectral analysis reveals behavioral features of K 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 Kellogg Company 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 K 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 K over the next few months? See K 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 K. 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 K Multi-Company Strategies .
Appendix A:
The statistical abstract for Kellogg Company gathers the most relevant analysis into a single chapter. See K Final Results . |
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