Section I:This look at Fifth Third Bancorp begins with a Classical Time Series Analysis of the historical stock prices, providing a vantage point over patterns that will be explored in greater detail in the following chapters. See FITB Classical Analysis.Section II:This survey looks at historical volatility of Fifth Third Bancorp prices. The risks associated with long and short term positions can be evaluated according to projected shapes of the Volatility Curve. See FITB Short Term Risk.Section IV:A look at Traditional Seasonal Analysis of Fifth Third Bancorp Historical Prices identifies the best and worst months to be invested. See FITB 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 Fifth Third Bancorp 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: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 FITB.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: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 FITB. 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: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 FITB Share Price Forecasts. |