Part1: Survey of the Analysis Materials
Chapter I:
An introductory chapter looks at the price history of ACS by applying Classical Time Series Analysis. Some of the patterns seen here will prove to be important in further analysis. See ACS Classical Analysis.
Chapter II:
This survey looks at historical volatility of Affiliated Computer Services, Inc. prices. The risks associated with long and short term positions can be evaluated according to projected shapes of the Volatility Curve. See Affiliated Computer Services, Inc. Price Volatility.
Chapter III:
Historical Volume Trends are analyzed here, revealing seasonal patterns and the influence of the Business Cycle. See ACS Historical Volume.
Chapter IV:
The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See ACS 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 Affiliated Computer Services, Inc. prices. See Running Averages.
Part 2: Technical 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 ACS historical prices. Here the 24 month, November based Political Calendar is the basis for non-standard Seasonal Analysis. See Politics and Prices of ACS.
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 ACS. 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 Affiliated Computer Services, 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 Projections for the Future
Chapter XVI:
Forecasts are gathered from several sources to predict future price movements. See ACS Price Predictions.
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