Section I:This look at Manitowoc Company, Inc. 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 MTW Classical Analysis.Section II:Risks associated with short and long period price changes can be understood through Volatility Analysis. Here the impact of the Volatility Curve on the potential profitability positions across different time spans is shown. See MTW Short Term Risk.Section IV:The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See MTW 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 Manitowoc Company, Inc. prices. See Average Indicators.Section VI:Technical Oscillators are compared to test their power as buy or sell signals for speculating in MTW 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 MTW.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: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:The mood of the market toward Manitowoc Company, Inc. show up in the Daily Closing Altitude and other Sentiment Indicators. See Investor Mood.Section XI:The length of "Runs", (the number of consecutive price movements up or down) reveal some new ways to visualize Price Series Data. 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 MTW 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:Forecasts are gathered from several sources to predict future price movements. See MTW Share Price Forecasts. |