| Below - Illustration from Chapter 5: No really strong signals during the past week. The most recent signal, "Moving Avg. 20/200 Divergence", was produced on Tuesday, September 21, 2010. In this range, it is most often considered to be a sell signal. |
 Summary of Recent Reports:No commentary available from weekend report. |
Table of Contents
Volume 1: Technical Analysis:
Chapter 1:
The Classical Analysis of Time Series establishes a good starting point in the analysis, and provides a high vantage point for viewing patterns of behaviour in the prices over the entire history of Oracle. See ORCL Classical Analysis.
Chapter 2:
This survey looks at historical volatility of Oracle prices. The risks associated with long and short term positions can be evaluated according to projected shapes of the Volatility Curve. See ORCL Volatility Risk.
Chapter 3:
Historical Volume Trends are analyzed here, revealing seasonal patterns and the influence of the Business Cycle. See ORCL Historical Volume.
Chapter 4:
The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See ORCL Calendar Year Trends.
Chapter 5:
One of the most popular indicators, the Moving Average, comes in many variations. Here we test the predictive ability of different averages as applied to prediction of Oracle prices. See Average Indicators.
Volume II: Mid Level Technical Analysis:
Chapter 6:
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 7:
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 Politics and Prices of ORCL.
Chapter 8:
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 9:
A view of Momentum Analysis that takes Volume into account as well as Price. See Momentum Investing Indicators.
Chapter 10:
Technical Analysis discovers the range of moods of investors toward ORCL. See Market Sentiment.
Section 11:
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 Run Analysis.
Chapter 12:
The traditional techniques of Candlestick Analysis may seem fanciful, but certain aspects are firmly grounded in the science of Investor Psychology. See Japanese Candlesticks.
Volume III: Advanced Price Behavior Visualization:
Chapter 13:
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.
Chapter 14:
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.
Chapter 15:
Here we look at periodic frequency and waveform characteristics of the ORCL historical price series. Classical techniques such as the Fourier Transform and newer digital filtering techniques contribute to this analysis. See Frequency and Waveform Analysis.
Chapter 16:
Predictions and Forecasts. What will happen to ORCL over the next few months? See ORCL Price Predictions.
Volume IV: Final Results and Trading Strategy:
Chapter 17:
This chapter rates some "single company strategies" for Oracle speculators. One of the most important aspects of a good money management strategy is the proper setting of stop loss orders. See Single Company Strategies.
Chapter 18:
The trading policies that work well when applied to speculation in any one companies stock may fall short when applied to the more usual situation where a person is speculating on a basket or portfolio of companies. Here we find the best muti-company portfolio trading policies. See ORCL Multi-Company Strategies .
Appendix A:
The statistical abstract for Oracle gathers the most relevant analysis into a single chapter. See ORCL Final Results . |
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