Part1: An Overview of the Analysis
Chapter I:
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 Allied Waste Industries, Inc.. See AW 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 Allied Waste Industries, Inc. Price Volatility.
Chapter III:
Historical Volume Trends are analyzed here, revealing seasonal patterns and the influence of the Business Cycle. See AW Historical Volume.
Chapter IV:
The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See AW Seasonal Trends.
Chapter V:
Moving Averages of various flavours are popular indicators. Here we test the predictive ability of different averages as applied to prediction of Allied Waste Industries, Inc. prices. See Running Averages.
Part 2: Traditional Analysis Topics
Chapter VI:
Technical Oscillators are compared to test their power as buy or sell signals for speculating in AW stock. We conduct an extensive investigation of the popular "RSI" of Welles Wilder and some of its variations. See Technical Oscillators
Chapter VII:
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 AW.
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:
Technical Analysis discovers the range of moods of investors toward AW. See Market Sentiment.
Chapter XI:
The length of "Runs", (the number of consecutive price movements up or down) reveal some new ways to visualize Price Series Data. 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 Allied Waste Industries, Inc.
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:
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.
Part 3: Synthesis and Forecasting
Chapter XVI:
Forecasts are gathered from several sources to predict future price movements. See AW Price Predictions.
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