Section I:Classical Analysis provides a good overview of the data for Dupont, and reveals patterns that will be explored with detail in later sections. See DD Classical Analysis.Section II:Understanding Price Volatility behaviour is essential to assessing the risk associated with positions across different time spans. See DD Short Term Risk.Section IV:The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See DD Calendar Year Trends.Section V:Moving Averages of various flavours are popular indicators. Here we test the predictive ability of different averages as applied to prediction of Dupont 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 DD historical prices. Here the 24 month, November based Political Calendar is the basis for non-standard Seasonal Analysis. See Stock Prices and Politics for DD.Section VIII:Volume Stratification Analysis (or VSA) follows price behavior in relation to historical volumes of DD 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: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 DD. 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: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 Surfaces.Section XIV: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 Multi-dimensional Price Behaviors.Section XVI:Forecasts are gathered from several sources to predict future price movements. See DD Share Price Forecasts. |