Section I:The Classical Analysis of Time Series establishes a good starting point in the analysis, and provides a high vantage point for viewing patterns of behaviour in the prices over the entire history of American International Group, Inc.. See AIG 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 AIG Short Term Risk.Section IV:The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See AIG 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 American International Group, Inc. 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 AIG historical prices. Here the 24 month, November based Political Calendar is the basis for non-standard Seasonal Analysis. See Stock Prices and Politics for AIG.Section VIII:Volume Stratification Analysis (or VSA) follows price behavior in relation to historical volumes of AIG 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:The mood of the market toward American International Group, 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: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:The combination of multi-spectral and mult-dimensional analysis of American International Group, Inc. historical trends, yields a rich set of behavioral surfaces. See Multi-dimensional Price Behaviors.Section XVI:Forecasts are gathered from several sources to predict future price movements. See AIG Share Price Forecasts. |