| Below - Illustration from Chapter 15: No really strong signals during the past week. On Thursday, February 25, 2010, the "Semi-Annual Avg. of Bi-weekly Sawtooth Signals middle Crossing", indicator produced a possible sell alert. |
 Summary of Recent Reports:Weekend Report Comments on Saturday, March 13, 2010:
This week's transaction volume increased as well as the price for ORCL. ORCL appears to be fairly priced, according to the Wilder RSI, but it's position is weakening. The RSI has weakened since last week, but not enough to change the category. The Negative Volume Index Aggregate is near the middle of the range. This indicator is down over the last month. Since the previous week the phase of the oscillator around the 200 bar average is almost unchanged. From the Update 3/18/2010 : The most recent candle is a Shadowed short body, following the stepped up medium body on the previous session. A shadowed session is one with an open-to-close range that is completely within the bounds of the previous day's open-to-close range. This indicates a lack of direction in the market for this issue. No really strong signals during the past week. On Thursday, February 25, 2010, the "Semi-Annual Avg. of Bi-weekly Sawtooth Signals middle Crossing", indicator produced a possible sell alert. |
Table of Contents
Volume I: Traditional Analysis of ORCL:
Chapter 1:
Oracle historical prices are subjected to old fashioned Classical Time Series Analysis in this section. Patterns that emerge here will be a starting point for more detailed analysis. See ORCL Classical Analysis.
Chapter 2:
Understanding Price Volatility behaviour is essential to assessing the risk associated with positions across different time spans. See ORCL Volatility Risk.
Chapter 3:
Changes in Daily Volume are tracked in time here. Time Series Analysis demonstrates Trends and Cyclical Patterns in the number of shares transacted. See ORCL Historical Volume.
Chapter 4:
A look at Traditional Seasonal Analysis of Oracle Historical Prices identifies the best and worst months to be invested. 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:
Some say that modern analysis began with the successful identification of technical oscillators such as the highly effective Wilder RSI. See Technical Oscillators.
Chapter 7:
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 ORCL.
Chapter 8:
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.
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:
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.
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:
Forecasts are gathered from several sources to predict future price movements. 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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