| Below - Illustration from Chapter 15: A signal from the "Semi-Annual Avg. of Bi-weekly Sawtooth Signals middle Crossing", was flagged on Thursday, March 11, 2010. This value of the indicator is generally interpreted as a sell signal. |
 Summary of Recent Reports:Weekend Report Comments on Saturday, March 13, 2010:
As of closing time on the NYSE Friday, March 12, 2010, the price has been down for 3 days in a row. When both price and volume fall, as was the case with GENZ this week, a lack of buying interest is indicated. Sometimes this presents an opportunity. GENZ does not seem to be over-bought or under-bought at the moment. The general RSI remains in the same range as last week, with a small favorable drift. Negative Volume Indexes are running at fair price levels. It lost ground during the last week, but is still up for the month. There has not been much change in the phase of the 200 day moving average since this time last week. From the Update 3/17/2010 : The latest trading day is represented as a Star medium body, coming on the heels of a Star Doji on Tuesday. 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. A signal from the "Semi-Annual Avg. of Bi-weekly Sawtooth Signals middle Crossing", was flagged on Thursday, March 11, 2010. This value of the indicator is generally interpreted as a sell signal. |
Table of Contents
Volume I: Traditional Analysis of GENZ:
Chapter 1:
Genzyme Corporation 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 GENZ Classical Analysis.
Chapter 2:
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 GENZ Volatility Risk.
Chapter 3:
Historical Volume Trends are analyzed here, revealing seasonal patterns and the influence of the Business Cycle. See GENZ Historical Volume.
Chapter 4:
A look at Traditional Seasonal Analysis of Genzyme Corporation Historical Prices identifies the best and worst months to be invested. See GENZ Calendar Year Trends.
Chapter 5:
Moving Averages of various flavours are popular indicators. Here we test the predictive ability of different averages as applied to prediction of Genzyme Corporation prices. See Average Indicators.
Volume II: Intermediate Analysis Techniques:
Chapter 6:
Technical Oscillators are compared to test their power as buy or sell signals for speculating in GENZ 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 GENZ.
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 GENZ. See Market Sentiment.
Section 11:
The chapter first converts the Price Line to several different mappings based on "Runs" or 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 Visualization and Prediction:
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:
The combination of multi-spectral and mult-dimensional analysis of Genzyme Corporation historical trends, yields a rich set of behavioral surfaces. See Price Behavior Surfaces.
Chapter 15:
Frequency Analysis and Waveform Characterization are applied to the historical prices of Genzyme Corporation in this chapter. See Frequency and Waveform Analysis.
Chapter 16:
Forecasts are gathered from several sources to predict future price movements. See GENZ Price Predictions.
Volume IV: Final Results and Trading Strategy:
Chapter 17:
The results of various trading strategies carried out over 10 years are evaluated here for GENZ. The results of "buy and hold", "buy the dips", and other strategies are compared, as well as sliding stop settings. 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 GENZ Multi-Company Strategies .
Appendix A:
The statistical abstract for Genzyme Corporation gathers the most relevant analysis into a single chapter. See GENZ Final Results . |
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