Chalk-Talk: Analysis of Affiliated Computer Services, Inc.



Section I:

Classical Analysis provides a good overview of the data for Affiliated Computer Services, Inc., and reveals patterns that will be explored with detail in later sections. See ACS 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 ACS Short Term Risk.

Section IV:

The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See ACS 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 Affiliated Computer Services, Inc. prices. See Average Indicators.

Section VI:

Some say that modern analysis began with the successful identification of technical oscillators such as the highly effective Wilder RSI. 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 ACS.

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 Affiliated Computer Services, 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:

Multi-spectral analysis reveals behavioral features of ACS prices that may not be apparent to ordinary analysis. 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 ACS over the next few months? See ACS Share Price Forecasts.

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