Section I:Southwest Airlines Co. historical prices are subjected to old fashioned Classical Time Series Analysis in this section. Patterns that emerge here will be a starting point for more detailed analysis. See LUV Classical Analysis.Section II:This survey looks at historical volatility of Southwest Airlines Co. prices. The risks associated with long and short term positions can be evaluated according to projected shapes of the Volatility Curve. See LUV Short Term Risk.Section IV:The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See LUV 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 Southwest Airlines Co. prices. See Average Indicators.Section VI:Technical Oscillators are compared to test their power as buy or sell signals for speculating in LUV 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 LUV.Section VIII:Volume Stratification Analysis (or VSA) follows price behavior in relation to historical volumes of LUV 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:The mood of the market toward Southwest Airlines Co. show up in the Daily Closing Altitude and other Sentiment Indicators. 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: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:The combination of multi-spectral and mult-dimensional analysis of Southwest Airlines Co. 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 LUV Share Price Forecasts. |