Section I:An introductory chapter looks at the price history of HPC by applying Classical Time Series Analysis. Some of the patterns seen here will prove to be important in further analysis. See HPC Classical Analysis.Section II:This survey looks at historical volatility of Hercules Incorporated prices. The risks associated with long and short term positions can be evaluated according to projected shapes of the Volatility Curve. See HPC Short Term Risk.Section IV:A look at Traditional Seasonal Analysis of Hercules Incorporated Historical Prices identifies the best and worst months to be invested. See HPC 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 Hercules Incorporated prices. See Average Indicators.Section VI:Technical Oscillators are compared to test their power as buy or sell signals for speculating in HPC stock. We conduct an extensive investigation of the popular "RSI" of Welles Wilder and some of its variations. See RSI Indicators.Section VII:A different type of Seasonal Analysis is applied to HPC historical prices. Here the 24 month, November based Political Calendar is the basis for non-standard Seasonal Analysis. See Stock Prices and Politics for HPC.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:A view of Momentum Analysis that takes Volume into account as well as Price. See Price-Volume Momentum.Section X:Technical Analysis discovers the range of moods of investors toward HPC. 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: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: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:Predictions and Forecasts. What will happen to HPC over the next few months? See HPC Share Price Forecasts. |