Section I:An introductory chapter looks at the price history of CAT by applying Classical Time Series Analysis. Some of the patterns seen here will prove to be important in further analysis. See CAT Classical Analysis.Section II:This survey looks at historical volatility of Caterpillar prices. The risks associated with long and short term positions can be evaluated according to projected shapes of the Volatility Curve. See CAT Short Term Risk.Section IV:A look at Traditional Seasonal Analysis of Caterpillar Historical Prices identifies the best and worst months to be invested. See CAT 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 Caterpillar prices. See Average Indicators.Section VI:Technical Oscillators are compared to test their power as buy or sell signals for speculating in CAT stock. We conduct an extensive investigation of the popular "RSI" of Welles Wilder and some of its variations. See RSI Indicators.Section VII:Price Analysis according to Political Factors reveals some surprising results. Computing trends against the November based political calendar may give better predictions than the traditional calculations based on the January calendar year! See Stock Prices and Politics for CAT.Section VIII: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.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 CAT. See Investor Mood.Section XI: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.Section XII: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.Section XIII:Multi-spectral analysis reveals behavioral features of CAT 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 Caterpillar historical trends, yields a rich set of behavioral surfaces. See Multi-dimensional Price Behaviors.Section XVI:Predictions and Forecasts. What will happen to CAT over the next few months? See CAT Share Price Forecasts. |