| Below - Illustration from Chapter 15: No really strong signals during the past week. The most recent signal, "Semi-Annual Avg. of Bi-weekly Sawtooth Signals middle Crossing", was produced on Friday, March 24, 2006. In this range, it is most often considered to be a sell signal. |
 Summary of Recent Reports:Weekend Report Comments on Saturday, August 25, 2007:
Looking back from Friday, August 24, 2007, the past 7 sessions have seen higher closing prices than the day before. The volume fell this week on SUNW while the price rose. So caution is advised. No buy signal yet, but the Wilder RSI is becoming more bullish. The general RSI remains in the same range as last week, with a small favorable drift. The Negative Volume Index Aggregate is near the middle of the range. It seems to be rising, coming from 99.99% to 100.03% in the past month. Closing the gap with the 200 bar moving average a bit last week, SUNW would appear to have reached phase 4 of the oscillation cycle. It is -10.00 % under the line. From the Update 4/13/2006 : The latest trading day is represented as a Star short body, coming on the heels of a stepped up medium body on Thursday. A star happens when the body range is entirely outside the range of the day before. So there has been a gap, indicating a strong new direction. No really strong signals during the past week. The most recent signal, "Semi-Annual Avg. of Bi-weekly Sawtooth Signals middle Crossing", was produced on Friday, March 24, 2006. In this range, it is most often considered to be a sell signal. |
Table of Contents
Volume 1: Technical Analysis:
Chapter 1:
Classical Analysis provides a good overview of the data for Sun Microsystems, and reveals patterns that will be explored with detail in later sections. See SUNW Classical Analysis.
Chapter 2:
This survey looks at historical volatility of Sun Microsystems prices. The risks associated with long and short term positions can be evaluated according to projected shapes of the Volatility Curve. See SUNW 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 SUNW Historical Volume.
Chapter 4:
The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See SUNW 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 Sun Microsystems 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 SUNW stock. We conduct an extensive investigation of the popular "RSI" of Welles Wilder and some of its variations. 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 SUNW.
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:
The mood of the market toward Sun Microsystems show up in the Daily Closing Altitude and other Sentiment Indicators. 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:
Frequency Analysis and Waveform Characterization are applied to the historical prices of Sun Microsystems in this chapter. See Frequency and Waveform Analysis.
Chapter 16:
Forecasts are gathered from several sources to predict future price movements. See SUNW Price Predictions.
Volume IV: Final Results and Trading Strategy:
Chapter 17:
This chapter rates some "single company strategies" for Sun Microsystems 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 SUNW Multi-Company Strategies .
Appendix A:
The statistical abstract for Sun Microsystems gathers the most relevant analysis into a single chapter. See SUNW Final Results . |
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