Part1: An Overview of the Analysis
Chapter I:
This look at Oracle 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 ORCL 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 Oracle Price Volatility.
Chapter III:
This section shows historical volumes for sales of ORCL stock, along with Seasonal and Cyclical Trends in Volume. See ORCL Historical Volume.
Chapter IV:
A look at Traditional Seasonal Analysis of Oracle Historical Prices identifies the best and worst months to be invested. See ORCL 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 Oracle prices. See Running Averages.
Part 2: Technical Analysis Topics
Chapter VI:
Technical Oscillators are compared to test their power as buy or sell signals for speculating in ORCL stock. We conduct an extensive investigation of the popular "RSI" of Welles Wilder and some of its variations. See Technical Oscillators
Chapter VII:
A different type of Seasonal Analysis is applied to ORCL historical prices. Here the 24 month, November based Political Calendar is the basis for non-standard Seasonal Analysis. See Politics and Prices of ORCL.
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:
A view of Momentum Analysis that takes Volume into account as well as Price. See Momentum Investing Indicators.
Chapter X:
Technical Analysis discovers the range of moods of investors toward ORCL. 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 Oracle
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:
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:
Predictions and Forecasts. What will happen to ORCL over the next few months? See ORCL Price Predictions.
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