Part1: An Overview of the Analysis
Chapter I:
Classical Analysis provides a good overview of the data for FirstEnergy Corp., and reveals patterns that will be explored with detail in later sections. See FE Classical Analysis.
Chapter II:
This survey looks at historical volatility of FirstEnergy Corp. prices. The risks associated with long and short term positions can be evaluated according to projected shapes of the Volatility Curve. See FirstEnergy Corp. 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 FE Historical Volume.
Chapter IV:
The Traditional Seasonal Analysis of Price Trends can still yield valuable predictive information. See FE 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 FirstEnergy Corp. prices. See Running Averages.
Part 2: Technical Analysis Topics
Chapter VI:
Some say that modern analysis began with the successful identification of technical oscillators such as the highly effective Wilder RSI. See Technical Oscillators
Chapter 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 Politics and Prices of FE.
Chapter VIII:
Volume Stratification Analysis (or VSA) follows price behavior in relation to historical volumes of FE 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:
The mood of the market toward FirstEnergy Corp. show up in the Daily Closing Altitude and other Sentiment Indicators. 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 FirstEnergy Corp.
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:
Multi-spectral analysis reveals behavioral features of FE prices that may not be apparent to ordinary analysis. 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: Advanced Forecasting Topics
Chapter XVI:
Forecasts are gathered from several sources to predict future price movements. See FE Price Predictions.
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