Section I:Classical Analysis provides a good overview of the data for General Mills, Inc., and reveals patterns that will be explored with detail in later sections. See GIS Classical Analysis.Section II:Understanding Price Volatility behaviour is essential to assessing the risk associated with positions across different time spans. See GIS Short Term Risk.Section IV:A look at Traditional Seasonal Analysis of General Mills, Inc. Historical Prices identifies the best and worst months to be invested. See GIS 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 General Mills, Inc. prices. See Average Indicators.Section VI:Technical Oscillators are compared to test their power as buy or sell signals for speculating in GIS 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 GIS.Section VIII:Volume Stratification Analysis (or VSA) follows price behavior in relation to historical volumes of GIS 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:Technical Analysis discovers the range of moods of investors toward GIS. 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: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 GIS prices that may not be apparent to ordinary analysis. 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 GIS over the next few months? See GIS Share Price Forecasts. |