Section I:This look at Allied Waste Industries, Inc. begins with a Classical Time Series Analysis of the historical stock prices, providing a vantage point over patterns that will be explored in greater detail in the following chapters. See AW Classical Analysis.Section 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 AW Short Term Risk.Section IV:The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See AW Calendar Year Trends.Section 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 Average Indicators.Section 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 RSI Indicators.Section 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 Stock Prices and Politics for AW.Section VIII:Volume Stratification Analysis tracks the volumes associated with price levels over the entire history of a stock. The resulting analysis yields a framework for understanding the mechanism behind support and resistance levels, and a scientific basis for predicting price behaviors due to those levels. See Volumetric Analysis.Section 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 Price-Volume Momentum.Section X:The mood of the market toward Allied Waste Industries, Inc. show up in the Daily Closing Altitude and other Sentiment Indicators. See Investor Mood.Section XI: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.Section XII: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.Section 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 Support and Resistance Surfaces.Section 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 Multi-dimensional Price Behaviors.Section XVI:Predictions and Forecasts. What will happen to AW over the next few months? See AW Share Price Forecasts. |