Section I:An introductory chapter looks at the price history of GENZ by applying Classical Time Series Analysis. Some of the patterns seen here will prove to be important in further analysis. See GENZ Classical Analysis.Section 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 GENZ Short Term Risk.Section IV: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.Section V: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 Genzyme Corporation prices. See Average Indicators.Section VI:Some say that modern analysis began with the successful identification of technical oscillators such as the highly effective Wilder RSI. See RSI Indicators.Section VII:A different type of Seasonal Analysis is applied to GENZ historical prices. Here the 24 month, November based Political Calendar is the basis for non-standard Seasonal Analysis. See Stock Prices and Politics for GENZ.Section VIII:Volume Stratification Analysis (or VSA) follows price behavior in relation to historical volumes of GENZ stock sales. Knowledge of these behaviors gives us a quantitative metric useful for understanding Support or Resistance Levels, and predicting their strength. See Volumetric Analysis.Section IX:A view of Momentum Analysis that takes Volume into account as well as Price. See Price-Volume Momentum.Section X:The mood of the market toward Genzyme Corporation show up in the Daily Closing Altitude and other Sentiment Indicators. See Investor Mood.Section XI: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.Section XII:The traditional techniques of Candlestick Analysis may seem fanciful, but certain aspects are firmly grounded in the science of Investor Psychology. See Japanese Candlesticks.Section XIII:Multi-spectral analysis reveals behavioral features of GENZ prices that may not be apparent to ordinary analysis. See Support and Resistance Surfaces.Section XIV:The combination of multi-spectral and mult-dimensional analysis of Genzyme Corporation historical trends, yields a rich set of behavioral surfaces. See Multi-dimensional Price Behaviors.Section XVI:Forecasts are gathered from several sources to predict future price movements. See GENZ Share Price Forecasts. |