Part1: Survey of the Analysis Materials
Chapter I:
An introductory chapter looks at the price history of DJIA by applying Classical Time Series Analysis. Some of the patterns seen here will prove to be important in further analysis. See DJIA Classical Analysis.
Chapter II:
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 Dow Industrials Price Volatility.
Chapter III:
Changes in Daily Volume are tracked in time here. Time Series Analysis demonstrates Trends and Cyclical Patterns in the number of shares transacted. See DJIA Historical Volume.
Chapter IV:
The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See DJIA Seasonal Trends.
Chapter V:
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 Dow Industrials prices. See Running Averages.
Part 2: Traditional Analysis Topics
Chapter VI:
Some say that modern analysis began with the successful identification of technical oscillators such as the highly effective Wilder RSI. See Technical Oscillators
Chapter VII:
A different type of Seasonal Analysis is applied to DJIA historical prices. Here the 24 month, November based Political Calendar is the basis for non-standard Seasonal Analysis. See Politics and Prices of DJIA.
Chapter VIII:
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 IX:
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 X:
The mood of the market toward Dow Industrials show up in the Daily Closing Altitude and other Sentiment Indicators. See Market Sentiment.
Chapter XI:
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 Analysis of Dow Industrials
Chapter XII:
The traditional techniques of Candlestick Analysis may seem fanciful, but certain aspects are firmly grounded in the science of Investor Psychology. See Candlestick Analysis.
Chapter XIII:
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 Multi-Spectral Analysis.
Chapter XIV:
The combination of multi-spectral and mult-dimensional analysis of Dow Industrials historical trends, yields a rich set of behavioral surfaces. See Price Behavior Surfaces.
Part 3: Synthesis and Forecasting
Chapter XVI:
Forecasts are gathered from several sources to predict future price movements. See DJIA Price Predictions.
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