Volume I: Traditional Analysis of KM:
Chapter 1:
An introductory chapter looks at the price history of KM by applying Classical Time Series Analysis. Some of the patterns seen here will prove to be important in further analysis. See KM Classical Analysis.
Chapter 2:
This survey looks at historical volatility of Kmart prices. The risks associated with long and short term positions can be evaluated according to projected shapes of the Volatility Curve. See KM Short Term 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 KM Historical Volume.
Volume II: Mid Level Technical Analysis:
Chapter 4:
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.
Section 5:
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 6:
Price Analysis according to Political Factors reveals some surprising results. Computing trends against the November based political calendar may give better predictions than the traditional calculations based on the January calendar year! See Politics and Prices of KM.
Chapter 7:
A look at Traditional Seasonal Analysis of Kmart Historical Prices identifies the best and worst months to be invested. See KM Calendar Year Trends.
Chapter 8:
A view of Momentum Analysis that takes Volume into account as well as Price. See Momentum Investing Indicators.
Chapter 9:
Technical Analysis discovers the range of moods of investors toward KM. See Market Sentiment.
Chapter 10:
Moving Averages of various flavours are popular indicators. Here we test the predictive ability of different averages as applied to prediction of Kmart prices. See Average Indicators.
Chapter 11:
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 12:
Multi-spectral analysis reveals behavioral features of KM prices that may not be apparent to ordinary analysis. See Support and Resistance Surfaces.
Chapter 13:
The combination of multi-spectral and mult-dimensional analysis of Kmart historical trends, yields a rich set of behavioral surfaces. See Multi-dimensional Price Behaviors.
Chapter 14:
Forecasts are gathered from several sources to predict future price movements. See KM Price Predictions.
Volume IV: Final Results and Trading Strategy:
Chapter 15:
The statistical abstract for Kmart gathers the most relevant analysis into a single chapter. See KM Final Results .
Chapter 16:
Trading Strategies are selected to give the best probability of return according to allowable risk and the price behavior characteristics of KM. See KM Trading Strategy. |
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