Part1: An Overview of the Analysis
Chapter I:
An introductory chapter looks at the price history of ODP by applying Classical Time Series Analysis. Some of the patterns seen here will prove to be important in further analysis. See ODP 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 Office Depot, Inc. 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 ODP Historical Volume.
Chapter IV:
The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See ODP 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 Office Depot, 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:
This chapter takes a view somewhat similar to standard analysis of seasonal trends, but it is based on the 4 year or 2 year Political Calendar rather than the 1 year Standard Calendar. Political Seasons work better than Calendar Seasons for predicting prices of many companies. See Politics and Prices of ODP.
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 Office Depot, Inc. show up in the Daily Closing Altitude and other Sentiment Indicators. 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 Office Depot, Inc.
Chapter 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 Candlestick Analysis.
Chapter XIII:
Multi-spectral analysis reveals behavioral features of ODP prices that may not be apparent to ordinary analysis. 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: Advanced Forecasting Topics
Chapter XVI:
Forecasts are gathered from several sources to predict future price movements. See ODP Price Predictions.
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