Part1: An Overview of the Analysis
Chapter I:
An introductory chapter looks at the price history of SWN by applying Classical Time Series Analysis. Some of the patterns seen here will prove to be important in further analysis. See SWN Classical Analysis.
Chapter II:
Understanding Price Volatility behaviour is essential to assessing the risk associated with positions across different time spans. See Southwestern Energy Company Price Volatility.
Chapter III:
Changes in Daily Volume are tracked in time here. Time Series Analysis demonstrates Trends and Cyclical Patterns in the number of shares transacted. See SWN Historical Volume.
Chapter IV:
A look at Traditional Seasonal Analysis of Southwestern Energy Company Historical Prices identifies the best and worst months to be invested. See SWN Seasonal Trends.
Chapter V:
Moving Averages of various flavours are popular indicators. Here we test the predictive ability of different averages as applied to prediction of Southwestern Energy Company prices. See Running Averages.
Part 2: Technical Analysis Topics
Chapter VI:
Technical Oscillators are compared to test their power as buy or sell signals for speculating in SWN stock. We conduct an extensive investigation of the popular "RSI" of Welles Wilder and some of its variations. See Technical Oscillators
Chapter 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 Politics and Prices of SWN.
Chapter VIII:
Volume Stratification Analysis (or VSA) follows price behavior in relation to historical volumes of SWN 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
Chapter 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 Momentum Investing Indicators.
Chapter X:
Technical Analysis discovers the range of moods of investors toward SWN. See Market Sentiment.
Chapter 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 Analysis of Southwestern Energy Company
Chapter 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 Candlestick Analysis.
Chapter 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 Multi-Spectral Analysis.
Chapter 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 Price Behavior Surfaces.
Part 3: Synthesis and Projections for the Future
Chapter XVI:
Predictions and Forecasts. What will happen to SWN over the next few months? See SWN Price Predictions.
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