Section I:An introductory chapter looks at the price history of MER by applying Classical Time Series Analysis. Some of the patterns seen here will prove to be important in further analysis. See MER 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 MER Short Term Risk.Section IV:A look at Traditional Seasonal Analysis of Merrill Lynch Historical Prices identifies the best and worst months to be invested. See MER 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 Merrill Lynch prices. See Average Indicators.Section VI:Technical Oscillators are compared to test their power as buy or sell signals for speculating in MER stock. We conduct an extensive investigation of the popular "RSI" of Welles Wilder and some of its variations. See RSI Indicators.Section VII: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 Stock Prices and Politics for MER.Section VIII: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.Section IX:Analysis of Market Momentum as the product of Price and Volume drives an interpretation considerably more sophisticated than those that consider Price Momentum alone. See Price-Volume Momentum.Section X:Technical Analysis discovers the range of moods of investors toward MER. See Investor Mood.Section XI:The length of "Runs", (the number of consecutive price movements up or down) reveal some new ways to visualize Price Series Data. 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 MER 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 Merrill Lynch historical trends, yields a rich set of behavioral surfaces. See Multi-dimensional Price Behaviors.Section XVI:Predictions and Forecasts. What will happen to MER over the next few months? See MER Share Price Forecasts. |